Assessment of Same-Day Naloxone Availability in New Mexico Pharmacies

Article Type
Changed
Thu, 12/02/2021 - 10:55
Display Headline
Assessment of Same-Day Naloxone Availability in New Mexico Pharmacies

From the Department of Medicine, University of California San Diego (Dr. Haponyuk), Department of Emergency Medicine, University of Tennessee (Dr. Dejong), the Department of Family Medicine, University of New Mexico (Dr. Gutfrucht), and the Department of Internal Medicine, University of New Mexico (Dr. Barrett)

Objective: Naloxone availability can reduce the risk of death from opioid overdoses, although prescriber, legislative, and payment barriers to accessing this life-saving medication exist. A previously underreported barrier involves same-day availability, the lack of which may force patients to travel to multiple pharmacies and having delays in access or risking not filling their prescription. This study sought to determine same-day availability of naloxone in pharmacies in the state of New Mexico.

Methods: Same-day availability of naloxone was assessed via an audit survey.

Results: Of the 183 pharamacies screened, only 84.7% had same-day availability, including only 72% in Albuquerque, the state’s most populous city/municipality.

Conclusion: These results highlight the extent of a previously underexplored challenge to patient care and barrier to patient safety, and future directions for more patient-centered care.

Keywords: naloxone; barriers to care; opioid overdose prevention.

The US is enduring an ongoing epidemic of deaths due to opioid use, which have increased in frequency since the onset of the COVID-19 pandemic.1 One strategy to reduce the risk of mortality from opioid use is to ensure the widespread availability of naloxone. Individual states have implemented harm reduction strategies to increase access to naloxone, including improving availability via a statewide standing order that it may be dispensed without a prescription.2,3 Such naloxone access laws are being widely adopted and are believed to reduce overdose deaths.4

There are many barriers to patients receiving naloxone despite their clinicians providing a prescription for it, including stigmatization, financial cost, and local availability.5-9 However, the stigma associated with naloxone extends to both patients and pharmacists. Pharmacists in West Virginia, for example, showed widespread concerns about having naloxone available for patients to purchase over the counter, for fear that increasing naloxone access may increase overdoses.6 A study in Tennessee also found pharmacists hesitant to recommend naloxone.7 Another study of rural pharmacies in Georgia found that just over half carried naloxone despite a state law that naloxone be available without a prescription.8 Challenges are not limited to rural areas, however; a study in Philadelphia found that more than one-third of pharmacies required a prescription to dispense naloxone, contrary to state law.9 Thus, in a rapidly changing regulatory environment, there are many evolving barriers to patients receiving naloxone.

 

 

New Mexico has an opioid overdose rate higher than the national average, coming in 15th out of 50 states when last ranked in 2018, with overdose rates that vary across demographic variables.10 Consequently, New Mexico state law added language requiring clinicians prescribing opioids for 5 days or longer to co-prescribe naloxone along with written information on how to administer the opioid antagonist.11 New Mexico is also a geographically large state with a relatively low overall population characterized by striking health disparities, particularly as related to access to care.

The purpose of this study is to describe the same-day availability of naloxone throughout the state of New Mexico after a change in state law requiring co-prescription was enacted, to help identify challenges to patients receiving it. Comprehensive examination of barriers to patients accessing this life-saving medication can advise strategies to both improve patient-centered care and potentially reduce deaths.

Methods

To better understand barriers to patients obtaining naloxone, in July and August of 2019 we performed an audit (“secret shopper”) study of all pharmacies in the state, posing as patients wishing to obtain naloxone. A publicly available list of every pharmacy in New Mexico was used to identify 89 pharmacies in Albuquerque (the most populous city in New Mexico) and 106 pharmacies throughout the rest of the state.12

Every pharmacy was called via a publicly available phone number during business hours (confirmed via an internet search), at least 2 hours prior to closing. One of 3 researchers telephoned pharmacies posing as a patient and inquired whether naloxone would be available for pick up the same day. If the pharmacy confirmed it was available that day, the call concluded. If naloxone was unavailable for same day pick up, researchers asked when it would be next available. Each pharmacy was called once, and neither insurance information nor cost was offered or requested. All questions were asked in English by native English speakers.

All responses were recorded in a secure spreadsheet. Once all responses were received and reviewed, they were characterized in discrete response categories: same day, within 1 to 2 days, within 3 to 4 days, within a week, or unsure/unknown. Naloxone availability was also tracked by city/municipality, and this was compared to the state’s population distribution.

 

 

No personally identifiable information was obtained. This study was Institutional Review Board exempt.

tables and figures for article

Results

Responses were recorded from 183 pharmacies. Seventeen locations were eliminated from our analysis because their phone system was inoperable or the pharmacy was permanently closed. Of the pharmacies reached, 84.7% (155/183) reported they have naloxone available for pick up on the same day (Figure 1). Of the 15.3% (28) pharmacies that did not have same-day availability, 60.7% (17 pharmacies) reported availability in 1 to 2 days, 3.6% had availability in 3 to 4 days, 3.6% had availability in 1 week, and 32.1% were unsure of next availability (Figure 2). More than one-third of the state’s patients reside in municipalities where naloxone is immediately available in at least 72% of pharmacies (Table).13

tables and figures for article

Discussion

Increased access to naloxone at the state and community level is associated with reduced risk for death from overdose, and, consequently, widespread availability is recommended.14-17 Statewide real-time pharmacy availability of naloxone—as patients would experience availability—has not been previously reported. These findings suggest unpredictable same-day availability that may affect experience and care outcomes. That other studies have found similar challenges in naloxone availability in other municipalities and regions suggests this barrier to access is widespread,6-9 and likely affects patients throughout the country.

tables and figures for article

Many patients have misgivings about naloxone, and it places an undue burden on them to travel to multiple pharmacies or take repeated trips to fill prescriptions. Additionally, patients without reliable transportation may be unable to return at a later date. Although we found most pharmacies in New Mexico without immediate availability of naloxone reported they could have it within several days, such a delay may reduce the likelihood that patients will fill their prescription at all. It is also concerning that many pharmacies are unsure of when naloxone will be available, particularly when some of these may be the only pharmacy easily accessible to patients or the one where they regularly fill their prescriptions.

Barriers to naloxone availability requires further study due to possible negative consequences for patient safety and risks for exacerbating health disparities among vulnerable populations. Further research may focus on examining the effects on patients when naloxone dispensing is delayed or impossible, why there is variability in naloxone availability between different pharmacies and municipalities, the reasons for uncertainty when naloxone will be available, and effective solutions. Expanded naloxone distribution in community locations and in clinics offers one potential patient-centered solution that should be explored, but it is likely that more widespread and systemic solutions will require policy and regulatory changes at the state and national levels.

 

 

Limitations of this study include that the findings may be relevant for solely 1 state, such as in the case of state-specific barriers to keeping naloxone in stock that we are unaware of. However, it is unclear why that would be the case, and it is more likely that similar barriers are pervasive. Additionally, repeat phone calls, which we did not follow up with, may have yielded more pharmacies with naloxone availability. However, due to the stigma associated with obtaining naloxone, it may be that patients will not make multiple calls either—highlighting how important real-time availability is.

Conclusion

Urgent solutions are needed to address the epidemic of deaths from opioid overdoses. Naloxone availability is an important tool for reducing these deaths, resulting in numerous state laws attempting to increase access. Despite this, there are persistent barriers to patients receiving naloxone, including a lack of same-day availability at pharmacies. Our results suggest that this underexplored barrier is widespread. Improving both availability and accessibility of naloxone may include legislative policy solutions as well as patient-oriented solutions, such as distribution in clinics and hospitals when opioid prescriptions are first written. Further research should be conducted to determine patient-centered, effective solutions that can improve outcomes.

Corresponding author: Eileen Barrett, MD, MPH, Department of Internal Medicine, University of New Mexico; [email protected].

Financial disclosures: None.

References

1. Mason M, Welch SB, Arunkumar P, et al. Notes from the field: opioid overdose deaths before, during, and after an 11-week COVID-19 stay-at-home order—Cook County, Illinois, January 1, 2018–October 6, 2020. MMWR Morb Mortal Wkly Rep. 2021;70(10):362-363. doi:10.15585/mmwr.mm7010a3

2. Kaiser Family Foundation. Opioid overdose death rates and all drug overdose death rates per 100,000 population (age-adjusted). Accessed October 6, 2021. https://www.kff.org/other/state-indicator/opioid-overdose-death

3. Sohn M, Talbert JC, Huang Z, et al. Association of naloxone coprescription laws with naloxone prescription dispensing in the United States. JAMA Netw Open. 2019;2(6):e196215. doi:10.1001/jamanetworkopen.2019.6215

4. Smart R, Pardo B, Davis CS. Systematic review of the emerging literature on the effectiveness of naloxone access laws in the United States. Addiction. 2021;116(1):6-17. doi:10.1111/add.15163

5. Mueller SR, Koester S, Glanz JM, et al. Attitudes toward naloxone prescribing in clinical settings: a qualitative study of patients prescribed high dose opioids for chronic non-cancer pain. J Gen Intern Med. 2017;32(3):277-283. doi:10.1007/s11606-016-3895-8

6. Thornton JD, Lyvers E, Scott VGG, Dwibedi N. Pharmacists’ readiness to provide naloxone in community pharmacies in West Virginia. J Am Pharm Assoc (2003). 2017;57(2S):S12-S18.e4. doi:10.1016/j.japh.2016.12.070

7. Spivey C, Wilder A, Chisholm-Burns MA, et al. Evaluation of naloxone access, pricing, and barriers to dispensing in Tennessee retail community pharmacies. J Am Pharm Assoc (2003). 2020;60(5):694-701.e1. doi:10.1016/j.japh.2020.01.030

8. Nguyen JL, Gilbert LR, Beasley L, et al. Availability of naloxone at rural Georgia pharmacies, 2019. JAMA Netw Open. 2020;3(2):e1921227. doi:10.1001/jamanetworkopen.2019.21227

9. Guadamuz JS, Alexander GC, Chaudhri T, et al. Availability and cost of naloxone nasal spray at pharmacies in Philadelphia, Pennsylvania. JAMA Netw Open. 2019;2(6):e195388. doi:10.1001/jamanetworkopen.2019.5388

10. Edge K. Changes in drug overdose mortality in New Mexico. New Mexico Epidemiology. July 2020 (3). https://www.nmhealth.org/data/view/report/2402/

11. Senate Bill 221. 54th Legislature, State of New Mexico, First Session, 2019 (introduced by William P. Soules). Accessed October 6, 2021. https://nmlegis.gov/Sessions/19%20Regular/bills/senate/SB0221.pdf

12. GoodRx. Find pharmacies in New Mexico. Accessed October 6, 2021. https://www.goodrx.com/pharmacy-near-me/all/nm

13. U.S. Census Bureau. QuickFacts: New Mexico. Accessed October 6, 2021. https://www.census.gov/quickfacts/NM

14. Linas BP, Savinkina A, Madushani RWMA, et al. Projected estimates of opioid mortality after community-level interventions. JAMA Netw Open. 2021;4(2):e2037259. doi:10.1001/jamanetworkopen.2020.37259

15. You HS, Ha J, Kang CY, et al. Regional variation in states’ naloxone accessibility laws in association with opioid overdose death rates—observational study (STROBE compliant). Medicine (Baltimore). 2020;99(22):e20033. doi:10.1097/MD.0000000000020033

16. Pew Charitable Trusts. Expanded access to naloxone can curb opioid overdose deaths. October 20, 2020. Accessed October 6, 2021. https://www.pewtrusts.org/en/research-and-analysis/issue-briefs/2020/10/expanded-access-to-naloxone-can-curb-opioid-overdose-deaths

17. Centers for Disease Control and Prevention. Still not enough naloxone where it’s most needed. August 6, 2019. Accessed October 6, 2021. https://www.cdc.gov/media/releases/2019/p0806-naloxone.html

Article PDF
Issue
Journal of Clinical Outcomes Management - 28(6)
Publications
Topics
Page Number
268-271
Sections
Article PDF
Article PDF

From the Department of Medicine, University of California San Diego (Dr. Haponyuk), Department of Emergency Medicine, University of Tennessee (Dr. Dejong), the Department of Family Medicine, University of New Mexico (Dr. Gutfrucht), and the Department of Internal Medicine, University of New Mexico (Dr. Barrett)

Objective: Naloxone availability can reduce the risk of death from opioid overdoses, although prescriber, legislative, and payment barriers to accessing this life-saving medication exist. A previously underreported barrier involves same-day availability, the lack of which may force patients to travel to multiple pharmacies and having delays in access or risking not filling their prescription. This study sought to determine same-day availability of naloxone in pharmacies in the state of New Mexico.

Methods: Same-day availability of naloxone was assessed via an audit survey.

Results: Of the 183 pharamacies screened, only 84.7% had same-day availability, including only 72% in Albuquerque, the state’s most populous city/municipality.

Conclusion: These results highlight the extent of a previously underexplored challenge to patient care and barrier to patient safety, and future directions for more patient-centered care.

Keywords: naloxone; barriers to care; opioid overdose prevention.

The US is enduring an ongoing epidemic of deaths due to opioid use, which have increased in frequency since the onset of the COVID-19 pandemic.1 One strategy to reduce the risk of mortality from opioid use is to ensure the widespread availability of naloxone. Individual states have implemented harm reduction strategies to increase access to naloxone, including improving availability via a statewide standing order that it may be dispensed without a prescription.2,3 Such naloxone access laws are being widely adopted and are believed to reduce overdose deaths.4

There are many barriers to patients receiving naloxone despite their clinicians providing a prescription for it, including stigmatization, financial cost, and local availability.5-9 However, the stigma associated with naloxone extends to both patients and pharmacists. Pharmacists in West Virginia, for example, showed widespread concerns about having naloxone available for patients to purchase over the counter, for fear that increasing naloxone access may increase overdoses.6 A study in Tennessee also found pharmacists hesitant to recommend naloxone.7 Another study of rural pharmacies in Georgia found that just over half carried naloxone despite a state law that naloxone be available without a prescription.8 Challenges are not limited to rural areas, however; a study in Philadelphia found that more than one-third of pharmacies required a prescription to dispense naloxone, contrary to state law.9 Thus, in a rapidly changing regulatory environment, there are many evolving barriers to patients receiving naloxone.

 

 

New Mexico has an opioid overdose rate higher than the national average, coming in 15th out of 50 states when last ranked in 2018, with overdose rates that vary across demographic variables.10 Consequently, New Mexico state law added language requiring clinicians prescribing opioids for 5 days or longer to co-prescribe naloxone along with written information on how to administer the opioid antagonist.11 New Mexico is also a geographically large state with a relatively low overall population characterized by striking health disparities, particularly as related to access to care.

The purpose of this study is to describe the same-day availability of naloxone throughout the state of New Mexico after a change in state law requiring co-prescription was enacted, to help identify challenges to patients receiving it. Comprehensive examination of barriers to patients accessing this life-saving medication can advise strategies to both improve patient-centered care and potentially reduce deaths.

Methods

To better understand barriers to patients obtaining naloxone, in July and August of 2019 we performed an audit (“secret shopper”) study of all pharmacies in the state, posing as patients wishing to obtain naloxone. A publicly available list of every pharmacy in New Mexico was used to identify 89 pharmacies in Albuquerque (the most populous city in New Mexico) and 106 pharmacies throughout the rest of the state.12

Every pharmacy was called via a publicly available phone number during business hours (confirmed via an internet search), at least 2 hours prior to closing. One of 3 researchers telephoned pharmacies posing as a patient and inquired whether naloxone would be available for pick up the same day. If the pharmacy confirmed it was available that day, the call concluded. If naloxone was unavailable for same day pick up, researchers asked when it would be next available. Each pharmacy was called once, and neither insurance information nor cost was offered or requested. All questions were asked in English by native English speakers.

All responses were recorded in a secure spreadsheet. Once all responses were received and reviewed, they were characterized in discrete response categories: same day, within 1 to 2 days, within 3 to 4 days, within a week, or unsure/unknown. Naloxone availability was also tracked by city/municipality, and this was compared to the state’s population distribution.

 

 

No personally identifiable information was obtained. This study was Institutional Review Board exempt.

tables and figures for article

Results

Responses were recorded from 183 pharmacies. Seventeen locations were eliminated from our analysis because their phone system was inoperable or the pharmacy was permanently closed. Of the pharmacies reached, 84.7% (155/183) reported they have naloxone available for pick up on the same day (Figure 1). Of the 15.3% (28) pharmacies that did not have same-day availability, 60.7% (17 pharmacies) reported availability in 1 to 2 days, 3.6% had availability in 3 to 4 days, 3.6% had availability in 1 week, and 32.1% were unsure of next availability (Figure 2). More than one-third of the state’s patients reside in municipalities where naloxone is immediately available in at least 72% of pharmacies (Table).13

tables and figures for article

Discussion

Increased access to naloxone at the state and community level is associated with reduced risk for death from overdose, and, consequently, widespread availability is recommended.14-17 Statewide real-time pharmacy availability of naloxone—as patients would experience availability—has not been previously reported. These findings suggest unpredictable same-day availability that may affect experience and care outcomes. That other studies have found similar challenges in naloxone availability in other municipalities and regions suggests this barrier to access is widespread,6-9 and likely affects patients throughout the country.

tables and figures for article

Many patients have misgivings about naloxone, and it places an undue burden on them to travel to multiple pharmacies or take repeated trips to fill prescriptions. Additionally, patients without reliable transportation may be unable to return at a later date. Although we found most pharmacies in New Mexico without immediate availability of naloxone reported they could have it within several days, such a delay may reduce the likelihood that patients will fill their prescription at all. It is also concerning that many pharmacies are unsure of when naloxone will be available, particularly when some of these may be the only pharmacy easily accessible to patients or the one where they regularly fill their prescriptions.

Barriers to naloxone availability requires further study due to possible negative consequences for patient safety and risks for exacerbating health disparities among vulnerable populations. Further research may focus on examining the effects on patients when naloxone dispensing is delayed or impossible, why there is variability in naloxone availability between different pharmacies and municipalities, the reasons for uncertainty when naloxone will be available, and effective solutions. Expanded naloxone distribution in community locations and in clinics offers one potential patient-centered solution that should be explored, but it is likely that more widespread and systemic solutions will require policy and regulatory changes at the state and national levels.

 

 

Limitations of this study include that the findings may be relevant for solely 1 state, such as in the case of state-specific barriers to keeping naloxone in stock that we are unaware of. However, it is unclear why that would be the case, and it is more likely that similar barriers are pervasive. Additionally, repeat phone calls, which we did not follow up with, may have yielded more pharmacies with naloxone availability. However, due to the stigma associated with obtaining naloxone, it may be that patients will not make multiple calls either—highlighting how important real-time availability is.

Conclusion

Urgent solutions are needed to address the epidemic of deaths from opioid overdoses. Naloxone availability is an important tool for reducing these deaths, resulting in numerous state laws attempting to increase access. Despite this, there are persistent barriers to patients receiving naloxone, including a lack of same-day availability at pharmacies. Our results suggest that this underexplored barrier is widespread. Improving both availability and accessibility of naloxone may include legislative policy solutions as well as patient-oriented solutions, such as distribution in clinics and hospitals when opioid prescriptions are first written. Further research should be conducted to determine patient-centered, effective solutions that can improve outcomes.

Corresponding author: Eileen Barrett, MD, MPH, Department of Internal Medicine, University of New Mexico; [email protected].

Financial disclosures: None.

From the Department of Medicine, University of California San Diego (Dr. Haponyuk), Department of Emergency Medicine, University of Tennessee (Dr. Dejong), the Department of Family Medicine, University of New Mexico (Dr. Gutfrucht), and the Department of Internal Medicine, University of New Mexico (Dr. Barrett)

Objective: Naloxone availability can reduce the risk of death from opioid overdoses, although prescriber, legislative, and payment barriers to accessing this life-saving medication exist. A previously underreported barrier involves same-day availability, the lack of which may force patients to travel to multiple pharmacies and having delays in access or risking not filling their prescription. This study sought to determine same-day availability of naloxone in pharmacies in the state of New Mexico.

Methods: Same-day availability of naloxone was assessed via an audit survey.

Results: Of the 183 pharamacies screened, only 84.7% had same-day availability, including only 72% in Albuquerque, the state’s most populous city/municipality.

Conclusion: These results highlight the extent of a previously underexplored challenge to patient care and barrier to patient safety, and future directions for more patient-centered care.

Keywords: naloxone; barriers to care; opioid overdose prevention.

The US is enduring an ongoing epidemic of deaths due to opioid use, which have increased in frequency since the onset of the COVID-19 pandemic.1 One strategy to reduce the risk of mortality from opioid use is to ensure the widespread availability of naloxone. Individual states have implemented harm reduction strategies to increase access to naloxone, including improving availability via a statewide standing order that it may be dispensed without a prescription.2,3 Such naloxone access laws are being widely adopted and are believed to reduce overdose deaths.4

There are many barriers to patients receiving naloxone despite their clinicians providing a prescription for it, including stigmatization, financial cost, and local availability.5-9 However, the stigma associated with naloxone extends to both patients and pharmacists. Pharmacists in West Virginia, for example, showed widespread concerns about having naloxone available for patients to purchase over the counter, for fear that increasing naloxone access may increase overdoses.6 A study in Tennessee also found pharmacists hesitant to recommend naloxone.7 Another study of rural pharmacies in Georgia found that just over half carried naloxone despite a state law that naloxone be available without a prescription.8 Challenges are not limited to rural areas, however; a study in Philadelphia found that more than one-third of pharmacies required a prescription to dispense naloxone, contrary to state law.9 Thus, in a rapidly changing regulatory environment, there are many evolving barriers to patients receiving naloxone.

 

 

New Mexico has an opioid overdose rate higher than the national average, coming in 15th out of 50 states when last ranked in 2018, with overdose rates that vary across demographic variables.10 Consequently, New Mexico state law added language requiring clinicians prescribing opioids for 5 days or longer to co-prescribe naloxone along with written information on how to administer the opioid antagonist.11 New Mexico is also a geographically large state with a relatively low overall population characterized by striking health disparities, particularly as related to access to care.

The purpose of this study is to describe the same-day availability of naloxone throughout the state of New Mexico after a change in state law requiring co-prescription was enacted, to help identify challenges to patients receiving it. Comprehensive examination of barriers to patients accessing this life-saving medication can advise strategies to both improve patient-centered care and potentially reduce deaths.

Methods

To better understand barriers to patients obtaining naloxone, in July and August of 2019 we performed an audit (“secret shopper”) study of all pharmacies in the state, posing as patients wishing to obtain naloxone. A publicly available list of every pharmacy in New Mexico was used to identify 89 pharmacies in Albuquerque (the most populous city in New Mexico) and 106 pharmacies throughout the rest of the state.12

Every pharmacy was called via a publicly available phone number during business hours (confirmed via an internet search), at least 2 hours prior to closing. One of 3 researchers telephoned pharmacies posing as a patient and inquired whether naloxone would be available for pick up the same day. If the pharmacy confirmed it was available that day, the call concluded. If naloxone was unavailable for same day pick up, researchers asked when it would be next available. Each pharmacy was called once, and neither insurance information nor cost was offered or requested. All questions were asked in English by native English speakers.

All responses were recorded in a secure spreadsheet. Once all responses were received and reviewed, they were characterized in discrete response categories: same day, within 1 to 2 days, within 3 to 4 days, within a week, or unsure/unknown. Naloxone availability was also tracked by city/municipality, and this was compared to the state’s population distribution.

 

 

No personally identifiable information was obtained. This study was Institutional Review Board exempt.

tables and figures for article

Results

Responses were recorded from 183 pharmacies. Seventeen locations were eliminated from our analysis because their phone system was inoperable or the pharmacy was permanently closed. Of the pharmacies reached, 84.7% (155/183) reported they have naloxone available for pick up on the same day (Figure 1). Of the 15.3% (28) pharmacies that did not have same-day availability, 60.7% (17 pharmacies) reported availability in 1 to 2 days, 3.6% had availability in 3 to 4 days, 3.6% had availability in 1 week, and 32.1% were unsure of next availability (Figure 2). More than one-third of the state’s patients reside in municipalities where naloxone is immediately available in at least 72% of pharmacies (Table).13

tables and figures for article

Discussion

Increased access to naloxone at the state and community level is associated with reduced risk for death from overdose, and, consequently, widespread availability is recommended.14-17 Statewide real-time pharmacy availability of naloxone—as patients would experience availability—has not been previously reported. These findings suggest unpredictable same-day availability that may affect experience and care outcomes. That other studies have found similar challenges in naloxone availability in other municipalities and regions suggests this barrier to access is widespread,6-9 and likely affects patients throughout the country.

tables and figures for article

Many patients have misgivings about naloxone, and it places an undue burden on them to travel to multiple pharmacies or take repeated trips to fill prescriptions. Additionally, patients without reliable transportation may be unable to return at a later date. Although we found most pharmacies in New Mexico without immediate availability of naloxone reported they could have it within several days, such a delay may reduce the likelihood that patients will fill their prescription at all. It is also concerning that many pharmacies are unsure of when naloxone will be available, particularly when some of these may be the only pharmacy easily accessible to patients or the one where they regularly fill their prescriptions.

Barriers to naloxone availability requires further study due to possible negative consequences for patient safety and risks for exacerbating health disparities among vulnerable populations. Further research may focus on examining the effects on patients when naloxone dispensing is delayed or impossible, why there is variability in naloxone availability between different pharmacies and municipalities, the reasons for uncertainty when naloxone will be available, and effective solutions. Expanded naloxone distribution in community locations and in clinics offers one potential patient-centered solution that should be explored, but it is likely that more widespread and systemic solutions will require policy and regulatory changes at the state and national levels.

 

 

Limitations of this study include that the findings may be relevant for solely 1 state, such as in the case of state-specific barriers to keeping naloxone in stock that we are unaware of. However, it is unclear why that would be the case, and it is more likely that similar barriers are pervasive. Additionally, repeat phone calls, which we did not follow up with, may have yielded more pharmacies with naloxone availability. However, due to the stigma associated with obtaining naloxone, it may be that patients will not make multiple calls either—highlighting how important real-time availability is.

Conclusion

Urgent solutions are needed to address the epidemic of deaths from opioid overdoses. Naloxone availability is an important tool for reducing these deaths, resulting in numerous state laws attempting to increase access. Despite this, there are persistent barriers to patients receiving naloxone, including a lack of same-day availability at pharmacies. Our results suggest that this underexplored barrier is widespread. Improving both availability and accessibility of naloxone may include legislative policy solutions as well as patient-oriented solutions, such as distribution in clinics and hospitals when opioid prescriptions are first written. Further research should be conducted to determine patient-centered, effective solutions that can improve outcomes.

Corresponding author: Eileen Barrett, MD, MPH, Department of Internal Medicine, University of New Mexico; [email protected].

Financial disclosures: None.

References

1. Mason M, Welch SB, Arunkumar P, et al. Notes from the field: opioid overdose deaths before, during, and after an 11-week COVID-19 stay-at-home order—Cook County, Illinois, January 1, 2018–October 6, 2020. MMWR Morb Mortal Wkly Rep. 2021;70(10):362-363. doi:10.15585/mmwr.mm7010a3

2. Kaiser Family Foundation. Opioid overdose death rates and all drug overdose death rates per 100,000 population (age-adjusted). Accessed October 6, 2021. https://www.kff.org/other/state-indicator/opioid-overdose-death

3. Sohn M, Talbert JC, Huang Z, et al. Association of naloxone coprescription laws with naloxone prescription dispensing in the United States. JAMA Netw Open. 2019;2(6):e196215. doi:10.1001/jamanetworkopen.2019.6215

4. Smart R, Pardo B, Davis CS. Systematic review of the emerging literature on the effectiveness of naloxone access laws in the United States. Addiction. 2021;116(1):6-17. doi:10.1111/add.15163

5. Mueller SR, Koester S, Glanz JM, et al. Attitudes toward naloxone prescribing in clinical settings: a qualitative study of patients prescribed high dose opioids for chronic non-cancer pain. J Gen Intern Med. 2017;32(3):277-283. doi:10.1007/s11606-016-3895-8

6. Thornton JD, Lyvers E, Scott VGG, Dwibedi N. Pharmacists’ readiness to provide naloxone in community pharmacies in West Virginia. J Am Pharm Assoc (2003). 2017;57(2S):S12-S18.e4. doi:10.1016/j.japh.2016.12.070

7. Spivey C, Wilder A, Chisholm-Burns MA, et al. Evaluation of naloxone access, pricing, and barriers to dispensing in Tennessee retail community pharmacies. J Am Pharm Assoc (2003). 2020;60(5):694-701.e1. doi:10.1016/j.japh.2020.01.030

8. Nguyen JL, Gilbert LR, Beasley L, et al. Availability of naloxone at rural Georgia pharmacies, 2019. JAMA Netw Open. 2020;3(2):e1921227. doi:10.1001/jamanetworkopen.2019.21227

9. Guadamuz JS, Alexander GC, Chaudhri T, et al. Availability and cost of naloxone nasal spray at pharmacies in Philadelphia, Pennsylvania. JAMA Netw Open. 2019;2(6):e195388. doi:10.1001/jamanetworkopen.2019.5388

10. Edge K. Changes in drug overdose mortality in New Mexico. New Mexico Epidemiology. July 2020 (3). https://www.nmhealth.org/data/view/report/2402/

11. Senate Bill 221. 54th Legislature, State of New Mexico, First Session, 2019 (introduced by William P. Soules). Accessed October 6, 2021. https://nmlegis.gov/Sessions/19%20Regular/bills/senate/SB0221.pdf

12. GoodRx. Find pharmacies in New Mexico. Accessed October 6, 2021. https://www.goodrx.com/pharmacy-near-me/all/nm

13. U.S. Census Bureau. QuickFacts: New Mexico. Accessed October 6, 2021. https://www.census.gov/quickfacts/NM

14. Linas BP, Savinkina A, Madushani RWMA, et al. Projected estimates of opioid mortality after community-level interventions. JAMA Netw Open. 2021;4(2):e2037259. doi:10.1001/jamanetworkopen.2020.37259

15. You HS, Ha J, Kang CY, et al. Regional variation in states’ naloxone accessibility laws in association with opioid overdose death rates—observational study (STROBE compliant). Medicine (Baltimore). 2020;99(22):e20033. doi:10.1097/MD.0000000000020033

16. Pew Charitable Trusts. Expanded access to naloxone can curb opioid overdose deaths. October 20, 2020. Accessed October 6, 2021. https://www.pewtrusts.org/en/research-and-analysis/issue-briefs/2020/10/expanded-access-to-naloxone-can-curb-opioid-overdose-deaths

17. Centers for Disease Control and Prevention. Still not enough naloxone where it’s most needed. August 6, 2019. Accessed October 6, 2021. https://www.cdc.gov/media/releases/2019/p0806-naloxone.html

References

1. Mason M, Welch SB, Arunkumar P, et al. Notes from the field: opioid overdose deaths before, during, and after an 11-week COVID-19 stay-at-home order—Cook County, Illinois, January 1, 2018–October 6, 2020. MMWR Morb Mortal Wkly Rep. 2021;70(10):362-363. doi:10.15585/mmwr.mm7010a3

2. Kaiser Family Foundation. Opioid overdose death rates and all drug overdose death rates per 100,000 population (age-adjusted). Accessed October 6, 2021. https://www.kff.org/other/state-indicator/opioid-overdose-death

3. Sohn M, Talbert JC, Huang Z, et al. Association of naloxone coprescription laws with naloxone prescription dispensing in the United States. JAMA Netw Open. 2019;2(6):e196215. doi:10.1001/jamanetworkopen.2019.6215

4. Smart R, Pardo B, Davis CS. Systematic review of the emerging literature on the effectiveness of naloxone access laws in the United States. Addiction. 2021;116(1):6-17. doi:10.1111/add.15163

5. Mueller SR, Koester S, Glanz JM, et al. Attitudes toward naloxone prescribing in clinical settings: a qualitative study of patients prescribed high dose opioids for chronic non-cancer pain. J Gen Intern Med. 2017;32(3):277-283. doi:10.1007/s11606-016-3895-8

6. Thornton JD, Lyvers E, Scott VGG, Dwibedi N. Pharmacists’ readiness to provide naloxone in community pharmacies in West Virginia. J Am Pharm Assoc (2003). 2017;57(2S):S12-S18.e4. doi:10.1016/j.japh.2016.12.070

7. Spivey C, Wilder A, Chisholm-Burns MA, et al. Evaluation of naloxone access, pricing, and barriers to dispensing in Tennessee retail community pharmacies. J Am Pharm Assoc (2003). 2020;60(5):694-701.e1. doi:10.1016/j.japh.2020.01.030

8. Nguyen JL, Gilbert LR, Beasley L, et al. Availability of naloxone at rural Georgia pharmacies, 2019. JAMA Netw Open. 2020;3(2):e1921227. doi:10.1001/jamanetworkopen.2019.21227

9. Guadamuz JS, Alexander GC, Chaudhri T, et al. Availability and cost of naloxone nasal spray at pharmacies in Philadelphia, Pennsylvania. JAMA Netw Open. 2019;2(6):e195388. doi:10.1001/jamanetworkopen.2019.5388

10. Edge K. Changes in drug overdose mortality in New Mexico. New Mexico Epidemiology. July 2020 (3). https://www.nmhealth.org/data/view/report/2402/

11. Senate Bill 221. 54th Legislature, State of New Mexico, First Session, 2019 (introduced by William P. Soules). Accessed October 6, 2021. https://nmlegis.gov/Sessions/19%20Regular/bills/senate/SB0221.pdf

12. GoodRx. Find pharmacies in New Mexico. Accessed October 6, 2021. https://www.goodrx.com/pharmacy-near-me/all/nm

13. U.S. Census Bureau. QuickFacts: New Mexico. Accessed October 6, 2021. https://www.census.gov/quickfacts/NM

14. Linas BP, Savinkina A, Madushani RWMA, et al. Projected estimates of opioid mortality after community-level interventions. JAMA Netw Open. 2021;4(2):e2037259. doi:10.1001/jamanetworkopen.2020.37259

15. You HS, Ha J, Kang CY, et al. Regional variation in states’ naloxone accessibility laws in association with opioid overdose death rates—observational study (STROBE compliant). Medicine (Baltimore). 2020;99(22):e20033. doi:10.1097/MD.0000000000020033

16. Pew Charitable Trusts. Expanded access to naloxone can curb opioid overdose deaths. October 20, 2020. Accessed October 6, 2021. https://www.pewtrusts.org/en/research-and-analysis/issue-briefs/2020/10/expanded-access-to-naloxone-can-curb-opioid-overdose-deaths

17. Centers for Disease Control and Prevention. Still not enough naloxone where it’s most needed. August 6, 2019. Accessed October 6, 2021. https://www.cdc.gov/media/releases/2019/p0806-naloxone.html

Issue
Journal of Clinical Outcomes Management - 28(6)
Issue
Journal of Clinical Outcomes Management - 28(6)
Page Number
268-271
Page Number
268-271
Publications
Publications
Topics
Article Type
Display Headline
Assessment of Same-Day Naloxone Availability in New Mexico Pharmacies
Display Headline
Assessment of Same-Day Naloxone Availability in New Mexico Pharmacies
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article
Article PDF Media

Association Between Physiotherapy Outcome Measures and the Functional Independence Measure: A Retrospective Analysis

Article Type
Changed
Wed, 11/24/2021 - 13:55
Display Headline
Association Between Physiotherapy Outcome Measures and the Functional Independence Measure: A Retrospective Analysis

From Illawarra Shoalhaven Local Health District, New South Wales, Australia (Maren Jones, Dr. Hewitt, Philippa King, Rhiannon Thorn, Edward Davidson, and Tiana-Lee Elphick), and Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, New South Wales, Australia (Dr. Hewitt)

Objective: To assess the association between change scores in the Functional Independence Measure (FIM) with evaluative measures used in physiotherapy to objectively show that use of the FIM in isolation is limited.

Design: Retrospective observational study.

Setting: Five rehabilitation inpatient wards from 1 public local health district in NSW Australia.

Participants: Patient data over a 5-year time frame (2015 to 2019) were reviewed (N = 2378). The patient data from the 3 most prevalent impairment groups (Australasian Rehabilitation Outcome Centre classification) were identified for inclusion in this study: Reconditioning (n = 742, mean age 76.88 years); Orthopedic Fracture (n = 585, mean age 77.46 years); and Orthopedic Replacement (n = 377, mean age 73.84 years).

Measurements: The difference between the admission and discharge scores were calculated for each measure. Kruskal-Wallis and χ2 tests were used to analyze the data.

Results: Pearson correlation (r) coefficients between FIM Motor change to the de Morton’s Mobility Index (DEMMI) change was r = 0.396, FIM Motor change to the Timed Up and Go (TUG) change was r = -0.217, and the FIM Motor change to the Ten Meter Walk Test (10MWT) change was .194.

Conclusion: The FIM Motor change scores showed a weak positive association to the DEMMI change and no association to the TUG and 10MWT change, demonstrating that the outcome measures do not measure the same attributes. To review rehabilitation effectiveness from a management perspective, it is recommended that all measures are reviewed to assess the burden of care, functional mobility, and dynamic balance.

Keywords: physiotherapy; rehabilitation; clinical outcome measures.

 

 

Patients receive interdisciplinary inpatient rehabilitation treatment after they have sustained a lower limb fracture, a lower limb joint replacement, or have generalized deconditioning (muscle wasting and disuse atrophy) following hospitalization for surgery or illness. The degree of a patient’s impairment or loss of functional capacity, as well as their ability to manage at home safely, is assessed using standardized outcome measures during their recovery and rehabilitation.1,2

Physiotherapists routinely use validated outcome measures to assess patient progress and to measure goal attainment through assessment of functional independence, dynamic balance performance, and ambulatory ability. These objective assessments provide clinicians with information about the effectiveness of the rehabilitation program, as well as the patient’s ability to manage in their home environment, to determine the need for assistive devices, level of caregiver support, future level of autonomy, and strategies for falls prevention.3-7

There is a view among service providers that rehabilitation decisions can be based on a singular measure of function known as the Functional Independence Measure (FIM). This is an understandable position because not only is the FIM an internationally recognized, valid, and reliable tool, but, as a singular measure, it also means measurement consistency across rehabilitation sites is more likely. However, rehabilitation is complex, and it is risky to base decisions on a single measure, which might not capture the results of rehabilitation treatment ingredients on individual patient targets.8,9

The patient’s progress is objectively assessed using functional outcome measures such as the FIM. Other measures used typically in our service include the de Morton’s Mobility Index (DEMMI), Timed Up and Go (TUG), and the Ten Meter Walk Test (10MWT), which measure patient mobility, balance during directional changes, and walking ability, respectively. Additional measures include patient progression to a less supportive level of assistance (ie, number of persons required to assist or level of supervision) or the selection of a walking aid (eg, forearm support frame, crutches). This progression—or lack thereof—assists in decision-making regarding the individual’s future once they are discharged from rehabilitation. Such considerations would include the need to modify the home environment, selection of assistive devices, community access (walking indoors, outdoors, and shopping), personal care needs, and age-appropriate care facility recommendations (ie, level of care). The use of outcome measures also indicates the need for further referrals to other care providers upon discharge from the rehabilitation facility.

There is widespread support in the literature for the use of the FIM, DEMMI, TUG, and 10MWT in rehabilitation population groups. For example, DEMMI has been validated in hip fracture patients during rehabilitation,10 as well as among older people hospitalized for medical illness.11-13 It has also been shown to be a predictor of discharge destination for patients living with frailty in geriatric rehabilitation settings,14 and to have moderate predictive validity for functional independence after 4 weeks of rehabilitation.15 Similarly, TUG has been validated for use among hospitalized and community-dwelling individuals,16-18 and for patients after joint arthroplasty19,20 or hip fracture.21 It has also been shown to be an indicator of fall risk,22-24 as well as a predictor of fracture incidence.25 Furthermore, TUG has been identified as an indicator of a patient’s ability to walk in the community without the need for a walking device.26 It has also been shown to be an early identifier of patients in need of rehabilitation.27 Normative values for TUG have been reported, and the association with gait time established.28

 

 

Gait speed has been shown to predict adverse outcomes in community-dwelling older people.29 In fact, the 10MWT has been established as a powerful tool to benchmark rehabilitation recovery after a medical event.30 Results of the test relate to overall quality of walking, health status, morbidity, and the rate of mortality.31-33 Meaningful improvement, minimum detectable change (0.19-0.34 m/s), and responsiveness in common physical performance in older adults has been reported.26,34,36

Structural and functional impairment has been used to define rehabilitation classes by the Australasian Rehabilitation Outcome Centre (AROC) in the Australian National Sub-Acute and Non-Acute Patient Classification (AN-SNAP) Version 4.37-43 Variables used for grouping are age, care type, function, and impairment for rehabilitation. FIM was developed in order to assess patients’ outcomes after inpatient multidisciplinary care, and is an internationally accepted measure of functioning.44 It is a holistic outcome measure, which can be used to determine the patient’s level of disability and burden of care, and is widely used in both public and private inpatient rehabilitation settings. Each patient classification is reported separately within the case mix structure.45 Inpatient rehabilitation centers are evaluated and compared by the AROC,46 with an emphasis on length of stay and the FIM change. The most successful centers demonstrate shorter length of stay and greater FIM improvement. Although the FIM is a valuable measure, it does not provide a complete picture of the individual patient’s rehabilitation gain: ie, the specific attributes of patients’ mobility, walking ability, or balance during directional changes.

A large-scale analysis of the association between the holistic disability measure of the FIM and the more mobility- and ambulation-focused physiotherapy outcomes has not been documented.

The well-documented DEMMI accumulates points for the patient’s mobility in a similar fashion to the FIM, but with more mobility detail. These 2 outcome measures allow for the full range of patients, from the very dependent up to and including the independently ambulant patients. The DEMMI may show a positive relationship to the FIM, yet the association is unknown. The association of the TUG to the 10MWT has been established28; however, their relationship to the FIM is unknown.

Current practice in the participating public health inpatient rehabilitation wards is to use the DEMMI, TUG, 10MWT, and FIM to ensure physiotherapy and allow the wider multidisciplinary team to more effectively evaluate patient mobility outcomes. The 3 most frequent patient groups identified within the current patient population are expected to present clinical differences and will be analyzed for comparison. If an association is found between the outcome measures in question, clinical efficiency could be improved.

 

 

The aim of the current study is to assess the association between change scores in the FIM with evaluative measures of outcomes typically used in physiotherapy to objectively show that use of the FIM in isolation is limited in our population of patients.

Methods

Study design and setting

This retrospective descriptive observational study complied with the STROBE-RECORD guidance and checklist (available at mdedge.com/jcomjournal) and analyzed the routinely collected data from rehabilitation patients who were admitted to 5 different rehabilitation wards in 4 different public hospitals from 1 regional local health district (20-24 beds per ward) from 2015 to 2019. As this study conducted secondary analyses using existing de-identified data from a public health facility and did not involve interaction with any human subjects, ethical approval was not required.46 Approval to conduct this study was granted by the health district’s institutional review committee, as per the National Statement on Ethical Conduct in Human Research 2015.

Participants

Patient data over a 5-year time frame were reviewed (N = 2378). The patient data from the 3 most prevalent impairment groups were identified for inclusion in this study: reconditioning, orthopedic fracture, and orthopedic replacement. (See Table 1 for the specific AN-SNAP impairment groups used in this study.)

Figures and tables from article

Patient data from the less-frequent impairment groups were excluded (n = 673, 28.19%), including stroke (n = 343), brain dysfunction (n = 45), amputation of limb (n = 45), spinal cord dysfunction (n  = 36), neurological dysfunction (n = 34), cardiac (n = 24), and others (n = 25) who may have benefitted from other outcome measures due to their medical condition. Ten patient data sets were excluded for missing discharge outcome measure data, from when the patient became ill and returned to acute services or was discharged at short notice. To be included in the study, both the admission and discharge scores from the FIM and the admission and discharge scores from at least 1 of the physiotherapy outcome measures were required for each patient (n = 1704, 71.39%): Reconditioning (n = 742), Orthopedic Fracture (n = 585), and Orthopedic Replacement (n = 377). Information regarding the type of walking aid and the amount of assistance required for safe ambulation was also recorded. These items were included in the study’s descriptive analysis. Only 1.7% of these descriptors were missing.

Outcome measures

DEMMI tasks of bed mobility, sitting balance, transfers, walking, and balance were scored with an assigned value according to the patient’s performance. This was then tallied and the results scaled, to provide an overall score out of 100 available points. The total score from admission and discharge was then compared. Improvement (change) was identified by the increase in scores.

 

 

The TUG assesses a patient’s dynamic balance performance.47 The number of seconds it took the patient to complete the procedure was recorded at admission and discharge. Improvement (change) was identified by the reduction in time taken at discharge from the admission score.

The 10MWT measures the unidirectional walking speed of a person over 10 meters and is recorded in seconds and reported in meters per second. Improvement (change) was identified by the reduction in the time taken to increase walking speed.

Concurrent to the physiotherapy measures were the FIM scores, recorded by the accredited nursing staff from each rehabilitation ward. Improvement is demonstrated by the accumulation of points on the ordinal scale of the FIM Total, including mobility, dressing, bladder and bowel care, cognition, and social interaction, and is represented as a score between 18 and 126. The FIM Motor category is reported as a score between 13 and 91.

The 2 data sets were matched by unique identifier and admission dates, then de-identified for analysis.

Statistical analysis

Patient demographic information was analyzed using descriptive statistics (mean, SD, frequencies, percentages) for each impairment group (orthopedic fracture, orthopedic replacement, reconditioning). Differences in continuous demographic variables for each impairment group were assessed using Kruskal-Wallis tests and χ2 tests for categorical variables. Functional outcome scores were compared at admission, discharge, and change between the impairment groups. Association of the functional outcome change scores was determined with the Pearson correlation coefficient (r) between the FIM and the DEMMI, TUG, and 10MWT. Graphs were plotted for each of these (Figure available online at mdedge.com/jcomjournal). A strong, moderate, and weak association was described as > 0.6, > 0.4, and > 0.2, respectively.46 Statistical significance was set at P < .05. Analyses were conducted using Stata (StataCorp LLC, USA).

 

 

Results

The patient descriptive data (site from which data were collected, admission length of stay, age at admission, discharge destination, walk aid improvement, and walk assistance improvement) from the 3 impairment groups are reported in Table 2. The functional outcomes for DEMMI, TUG, 10MWT, FIM Motor, FIM Total at admission, discharge, and the change scores are presented in Table 3.

Figures and tables from article

Orthopedic fracture patients had the greatest improvement in their functional outcomes, with a DEMMI improvement of 18 points, TUG score change of 23.49 seconds (s), 10MWT change of 0.30 meters/second (m/s), FIM Motor change of 20.62, and a FIM Total change of 21.9 points. The outcome measures exceeded the minimum detectable change as reported in the literature for DEMMI (8.8 points48), TUG (2.08 s26), walking speed 0.19 m/s26, and FIM Motor (14.6 points49).

Figures and tables from article

Association of functional outcomes (change scores)

There was a significant weak positive correlation between DEMMI change score and both the FIM Motor (r = 0.396) and FIM Total change scores (r = 0.373). When viewing the specific items within the FIM Motor labelled FIM Walk change, FIM MobilityBedChair change, and FIM stairs change, r values were 0.100, 0.379, and 0.126, respectively. In addition, there was a weak negative correlation between TUG change scores and both FIM Motor (r = -0.217) and FIM Total change scores (r = -0.207). There was a very weak positive correlation between 10MWT (m/s) change scores and both FIM Motor (r = 0.194) and FIM Total change scores (r = 0.187) (Table 4, Figure). There was a moderate correlation between 10MWT change (s) and TUG change (s) (r = 0.72, P < .001).

Figures and tables from article

Discussion

The purpose of this study was to ascertain the association between the DEMMI, TUG, 10MWT, and FIM measures using retrospective data collected from 5 public hospital inpatient rehabilitation wards. The results of this retrospective analysis demonstrate that a variety of objective outcome measures are required for the multidisciplinary team to accurately measure a patient’s functional improvement during their inpatient rehabilitation stay. No single outcome measure in this study fully reported all mobility attributes, and we note the risk of basing decisions on a single measure evaluating rehabilitation outcomes. Although the internationally used FIM has a strong place in rehabilitation reporting and benchmarking, it does not predict change nor provide a proxy for the patient’s whole-body motor control as they extend their mobility, dynamic balance, and ambulatory ability. Multiple objective outcome measures should therefore be required to evaluate the patient’s progress and functional performance toward discharge planning.

The FIM is a measure of disability or care needs, incorporating cognitive, social, and physical components of disability. It is a valid, holistic measure of an individual’s functional ability at a given time. Rehabilitation sites internationally utilize this assessment tool to evaluate a patient’s progress and the efficacy of intervention. The strength of this measure is its widespread use and the inclusion of the personal activities of daily living to provide an overall evaluation encompassing all aspects of a person’s ability to function independently. However, as our study results suggest, patient improvement measured by the FIM Motor components were not correlated to other widely used physiotherapy measures of ambulation and balance, such as the 10MWT or TUG. This is perhaps largely because the FIM Motor components only consider the level of assistance (eg, physical assistance, assistive device, independence) and do not consider assessment of balance and gait ability as assessed in the 10MWT and TUG. The 10MWT and TUG provide assessment of velocity and dynamic balance during walking, which have been shown to predict an individual’s risk of falling.22,23 This is a pertinent issue in the rehabilitation and geriatric population.29 Furthermore, the use of the FIM as a benchmarking tool to compare facility efficiency may not provide a complete assessment of all outcomes achieved on the inpatient rehabilitation ward, such as reduced falls risk or improved ambulatory ability and balance.

 

 

Of the objective measures evaluated in our paper, the DEMMI assessment has the most similar components to those of the FIM Motor. It includes evaluating independence with bed mobility, standing up, and ambulation. In addition, the DEMMI includes assessment of both static and dynamic balance. As a result of these commonalities, there was only a weak positive correlation between the change in DEMMI and the change in FIM Motor and FIM Total. However, this correlation is not statistically significant. Therefore, the FIM is not recommended as a replacement of the DEMMI, nor can one be used to predict the other.

It has previously been confirmed that there is a significant positive correlation between the 10MWT and the TUG.27 This retrospective analysis has also supported these findings. This is possibly due to the similarity in the assessments, as they both incorporate ambulation ability and dynamic movement.

Each of the 4 outcome measures assess different yet vital aspects of an individual’s functional mobility and ambulation ability during their subacute rehabilitation journey. The diversity of patient age, functional impairment, and mobility level needs a range of outcomes to provide baselines, targets, and goal attainment for discharge home.

Consistent with the AROC AN-SNAP reporting of Length of Stay and FIM change separated into the weighted impairment groups, the data analysis of this study demonstrated significant differences between the Reconditioning, Orthopedic Fracture, and Orthopedic Replacement patient data. Tables 2 and 3 describe the differences between the groups. The fracture population in this study improved the most across each outcome measure. In contrast, the reconditioning population showed the least improvement. This may be expected due to the pathophysiological differences between the groups. Furthermore, for the elderly who sustain fractures because of a fall, rehabilitation will be required to address not only the presenting injury but also the premorbid falls risk factors which may include polypharmacy or impaired balance.

Any conclusions drawn from the findings of this study need to take into consideration that it has focused on patients from 1 local health district and therefore may not be generalizable to a wider national or international context. As this study was a retrospective study, controlling for data collection quality, measurement bias due to nonblinding and missing data is a limitation. However, clinicians regularly completed these outcome assessments and recorded this information as part of their standard care practices within this health district. There may have been slight differences in definitions of practice between the 5 rehabilitation sites. To ensure reliability, each individual site’s protocols for the FIM, DEMMI, TUG, and 10MWT were reviewed and confirmed to be consistent.

 

 

It is important, too, to consider the ceiling effect for the FIM scores. For patients requiring a walking aid well after discharge, the highest level of independence from the walking aid will not be achieved. It is acknowledged that the floor effect of the 10MWT and TUG may also influence the outcomes of this study. In addition, data were not collected on preadmission functional measures to enable further evaluation of the population groups. The proportion of variance in change from admission to discharge for TUG and 10MWT to FIM was less than 5%, so the correlation interpretation from this type of scaling is limited. Further research into outcome measures for inpatient rehabilitation in respect to variables such as patient age, length of stay, discharge destination, and efficacy of intervention is warranted.

Conclusion

The FIM Motor change scores showed a weak positive association to the DEMMI change, and no association to the TUG and 10MWT change, demonstrating that the outcome measures do not measure the same attributes. Thorough reporting of clinical outcomes is much more meaningful to assess and guide the physiotherapy component of rehabilitation. To review rehabilitation effectiveness from a management perspective, it is recommended that all measures are reviewed to assess the burden of care, mobility, functional capacity, and dynamic balance.

Acknowledgements: The authors thank Anne Smith, MSHLM, BAppSc, Head of the Physiotherapy Department, and the physiotherapists and allied health assistants who have contributed to the collection of this valuable data over several years. They also thank Lina Baytieh, MS, BS, from Research Central, Illawarra Shoalhaven Local Health District, for her assistance with the analysis.

Corresponding author: Maren Jones, MPH, BS, Physiotherapy Department, Port Kembla Hospital, Illawarra Shoalhaven Local Health District, Warrawong, New South Wales, 2505 Australia; [email protected].

Financial disclosures: None.

References

1. Centers for Disease Control and Prevention. Disability and health overview. Impairments, activity limitations and participation restrictions. September 16, 2020. https://www.cdc.gov/ncbddd/disabilityandhealth/disability.html

2. The Royal Australasian College of Physicians. Australasian Faculty of Rehabilitation Medicine. Standards for the Provision of Inpatient Adult Rehabilitation Medicine Services in Public and Private Hospitals. February 2019:7-9. https://www.racp.edu.au/docs/default-source/advocacy-library/afrm-standards-for-the-provision-of-inpatient-adult-rehabilitation-medicine-services-in-public-and-private-hospitals.pdf?sfvrsn=4690171a_4

3. NSW Agency for Clinical Innovation. NSW rehabilitation model of care. June 1, 2015. https://aci.health.nsw.gov.au/resources/rehabilitation/rehabilitation-model-of-care/rehabilitation-moc

4. The State of Queensland (Queensland Health). Clinical task instructions. June 22, 2021. https://www.health.qld.gov.au/ahwac/html/clintaskinstructions

5. Panel on Prevention of Falls in Older Persons, American Geriatrics Society and British Geriatrics Society. Summary of the updated American Geriatrics Society/British Geriatrics Society clinical practice guideline for prevention of falls in older persons. J Am Geriatr Soc. 2011;59(1):148-157. doi:10.1111/j.1532-5415.2010.03234.x

6. Suwannarat P, Kaewsanmung S, Thaweewannakij T, Amatachaya S. The use of functional performance tests by primary health-care providers to determine walking ability with and without a walking device in community-dwelling elderly. Physiother Theory Pract. 2021;37(1):64-72. doi:10.1080/09593985.2019.1606372

7. Lee K-J, Um S-H, Kim Y-H. Postoperative rehabilitation after hip fracture: a literature review. Hip Pelvis. 2020;32(3):125-131. doi:10.5371/hp.2020.32.3.125

8. Wade DT, Smeets RJEM, Verbunt JA. Research in rehabilitation medicine: methodological challenges. J Clin Epidemiol. 2010;63(7):699-704. doi:10.1016/j.clinepi.2009.07.010

9. Wade DT. Outcome measures for clinical rehabilitation trials: impairment, function, quality of life, or value? Am J Phys Med Rehabil. 2003;82(suppl 10):S26-S31. doi:10.1097/01.PHM.0000086996.89383.A1

10. de Morton NA, Harding KE, Taylor NF, Harrison G. Validity of the de Morton NA Mobility Index (DEMMI) for measuring the mobility of patients with hip fracture during rehabilitation. Disabil Rehabil. 2013;35(4):325-333. doi:10.3109/09638288.2012.705220

11. Trøstrup J, Andersen H, Kam CAM, et al. Assessment of mobility in older people hospitalized for medical illness using the de Morton Mobility Index and cumulated ambulation score—validity and minimal clinical important difference. J Geriatr Phys Ther. 2019;42(3):153-160. doi:10.1519/JPT.0000000000000170

12. Gazzoti A, Meyer U, Freystaetter G, et al. Physical performance among patients aged 70+ in acute care: a preliminary comparison between the Short Physical Performance Battery and the De Morton Mobility Index with regard to sensitivity to change and prediction of discharge destination. Aging Clin Exp Res. 2020;32(4):579-586. doi:10.1007/s40520-019-1249-9

13. Tavares LS, Moreno NA, de Aquino BG, et al. Reliability, validity, interpretability and responsiveness of the DEMMI mobility index for Brazilian older hospitalized patients. PLoS One. 2020;15(3):e0230047. doi:10.1371/journal.pone.0230047

14. Braun T, Schulz R-J, Reinke J. Reliability and validity of the German translation of the de Morton Mobility Index performed by physiotherapists in patients admitted to a sub-acute inpatient geriatric rehabilitation hospital. BMC Geriatr. 2015;15:38. doi:10.1186/s12877-015-0035-y

15. Søndergaard K, Petersen LE, Pedersen MK, et al. The responsiveness and predictive validity of the de Morton Mobility Index in geriatric rehabilitation. Disabil Rehabil. 2020 Jun 12. [Epub ahead of print] doi:10.1080/09638288.2020.1771438

16. de Morton NA, Brusco NK, Wood L, et al. The de Morton Mobility Index (DEMMI) provides a valid method for measuring and monitoring the mobility of patients making the transition from hospital to the community: an observational study. J Physiother. 2011;57(2):109-116. doi:10.1016/S1836-9553(11)70021-2

17. Caronni A, Sterpi I, Antoniotti P, et al. Criterion validity of the instrumented Timed Up and Go test: a partial least square regression study. Gait Posture. 2018;61(3):287-293. doi:10.1016/j.gaitpost.2018.01.015

18. Kristensen MT, Bloch ML, Jonsson LR, Jakobsen TL. Interrater reliability of the standardized Timed Up and Go Test when used in hospitalized and community-dwelling individuals. Physiother Res Int. 2019;24(2):e1769. doi:10.1002/pri.1769

19. Yuksel E, Kalkan S, Cekmece S, et al. Assessing minimal detectable changes and test-retest reliability of the timed up and go test and 2-minute walk test in patients with total knee arthroplasty. J Arthroplasty. 2017;32(2):426-430. doi:10.1016/j.arth.2016.07.031

20. Yuksel E, Unver B, Kalkan S, Karatosun V. Reliability and minimal detectable change of the 2-minute walk test and Timed Up and Go test in patients with total hip arthroplasty. Hip Int. 2021;31(1):43-49. doi:10.1177/1120700019888614

21. Faleide AGH, Bogen BE, Magnussen LH. Intra-session test-retest reliability of the Timed “Up & Go” Test when performed by patients with hip fractures. Eur J Physiother. 2015;17(2):89-97. doi:10.3109/21679169.2015.1043579

22. Barry E, Galvin R, Keogh C, et al. Is the timed up and go test a useful predictor of risk of falls in community dwelling older adults: a systematic review and meta- analysis. BMC Geriatr. 2014;14:14. doi:10.1186/1471-2318-14-14

23. Kojima G, Masud T, Kendrick D, et al. Does the timed up and go test predict future falls among British community-dwelling older people? Prospective cohort study nested within a randomised controlled trial. BMC Geriatr. 2015;15:38. doi:10.1186/s12877-015-0039-7

24. Shumway-Cook A, Brauer S, Woollacott M. Predicting the probability for falls in community-dwelling older adults using the timed up & go test. Phys Ther. 2000;80(9):896-903.

25. Jeong SM, Shin DW, Han K, et al. Timed Up-and-Go test is a useful predictor of fracture incidence. Bone. 2019;127:474-481. doi:10.1016/j.bone.2019.07.018

26. Donaghue OA, Savva GM, Börsch-Supan A, Kenny RA. Reliability, measurement error and minimum detectable change in reliability measurement error and minimum detectable change in mobility measures: a cohort study of community dwelling adults aged 50 years and over in Ireland. BMJ Open. 2019;9(11):e030475. doi:10/1136.bmjopen-2019-030475

27. Freter SH, Fruchter N. Relationship between timed ‘up and go’ and gait time in an elderly orthopaedic rehabilitation population. Clin Rehabil. 2000;14(1):96-101. doi:10.1191/026921500675545616

28. Kear BM, Guck TP, McGaha AL. Timed up and go (TUG) test: normative reference values for ages 20 to 59 years and relationships with physical and mental health risk factors. J Prim Care Community Health. 2017;8(1):9-13. doi:10.1177/2150131916659282

29. Abellan van Kan G, Rolland Y, Andrieu S, et al. Gait speed at usual pace as a predictor of adverse outcomes in community-dwelling older people: an International Academy on Nutrition and Aging (IANA) Task Force. J Nutr Health Aging. 2009;13(10)881-889. doi:10.1007/s12603-009-0246-z

30. Unver B, Baris RH, Yusel E, et al. Reliability of 4-meter and 10-meter walk tests after lower extremity surgery. Disabil Rehabil. 2017;39(25):2572-2576. doi:10.1080/09638288.2016.1236153

31. Fritz S, Lusardi M. White paper: “walking speed: the sixth vital sign.” J Geriatr Phys Ther. 2009;32(2):46-49.

32. Studenski S, Perera S, Patel K, et al. Gait speed and survival in older adults. JAMA. 2011;305(1):50-58. doi:10.1001/jama.2010.1923

33. Bohannon R. Comfortable and maximum walking speed of adults aged 20-79 years: reference values and determinants. Age Ageing. 1997;26(1):15-19. doi:10.1093/ageing/26.1.15

34. Perera S, Mody SH, Woodman RC, Studenski SA. Meaningful change and responsiveness in common physical performance in older adults. J Am Geriatr Soc. 2006;54(5):743-749. doi:10.1111/j.1532-5415.2006.00701.x

35. Hollman J, Beckman B, Brandt R, et al. Minimum detectable change in gait velocity during acute rehabilitation following hip fracture. J Geriatr Phys Ther. 2008;31(2):53-56. doi:10.1519/00139143-200831020-00003

36. Bohannon RW, Andrews AW. Normal walking speed: a descriptive meta-analysis. Physiotherapy. 2011;97(3):182-189. doi:10.1016/j.physio.2010.12.004

37. Granger CV, Hamilton BB, Keith RA, et al. Advances in functional assessment for medical rehabilitation. Top Geriatr Rehabil. 1986;1:59-74.

38. Keith RA, Granger CV, Hamilton BB, Sherwin FS. The Functional Independence Measure: a new tool for rehabilitation. In: Eisenberg MG, Grzesiak RC, eds. Advances in Clinical Rehabilitation. Springer-Verlag; 1987:6-18.

39. Linacre JM, Heinemann AW, Wright BD, et al. The structure and stability of the Functional Independence Measure. Arch Phys Med Rehabil. 1994;75(2):127-132.

40. Coster WJ, Haley SM, Jette AM. Measuring patient-reported outcomes after discharge from inpatient rehabilitation settings. J Rehabil Med. 2006;38(4):237-242. doi:10.1080/16501970600609774

41. Street L. Frequently asked questions about FIM. Journal of the Australasian Rehabilitation Nurses Association. 2014;17(1):21-22. https://ro.uow.edu.au/ahsri/296/

42. Green JP, Gordon R, Blanchard MB, et al. Development of the Australian National Subacute and Non-acute Patient (AN-SNAP) Classification. Version 4 Final Report. Australian Health Services Research Institute, University of Wollongong, 2015. https://ro.uow.edu.au/ahsri/760

43. Australasian Rehabilitation Outcomes Centre. University of Wollongong, Australia. https://www.uow.edu.au/ahsri/aroc/

44. Green J, Gordon R, Kobel C, et al; Centre for Health Service Development. The Australian National Subacute and Non-acute Patient Classification. AN-SNAP V4 User Manual. May 2015. https://documents.uow.edu.au/content/groups/public/@web/@chsd/@aroc/documents/doc/uow194637.pdf

45. Alexander TL, Simmonds FD, Capelle JT, Green LJ. Anywhere Hospital AROC Impairment Specific Report on Reconditioning (Inpatient–Pathway 3), July 2018–June 2019. Australasian Rehabilitation Outcomes Centre, Australian Health Services Research Institute, University of Wollongong; 2019. ro.uow.edu.au/ahsri/1110

46. Evans JD. Straightforward Statistics for the Behavioural Sciences. Brooks/Cole Publishing; 1996.

47. Lee SP, Dufek J, Hickman R, Schuerman S. Influence of procedural factors on the reliability and performance of the timed up-and-go test in older adults. Int J Gerontol. 2016;10(1):37-42. doi:10.1016/j.ijge.2015

48. New PW, Scroggie GD, Williams CM. The validity, reliability, responsiveness and minimal clinically important difference of the de Morton Mobility Index in rehabilitation. Disabil Rehabil. 2017;39(10):1039-1043. doi:10.10801/09638288.2016.1179800

49. Nakaguchi T, Ishimoto Y, Akazawa N. Functional Independence Measure for patients with locomotor disorders in convalescent rehabilitation wards. Clinically significant minimum difference in exercise score gain. Physiotherapy Science. 2018;33(2):235-240.

Article PDF
Issue
Journal of Clinical Outcomes Management - 28(6)
Publications
Topics
Page Number
259-267
Sections
Article PDF
Article PDF

From Illawarra Shoalhaven Local Health District, New South Wales, Australia (Maren Jones, Dr. Hewitt, Philippa King, Rhiannon Thorn, Edward Davidson, and Tiana-Lee Elphick), and Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, New South Wales, Australia (Dr. Hewitt)

Objective: To assess the association between change scores in the Functional Independence Measure (FIM) with evaluative measures used in physiotherapy to objectively show that use of the FIM in isolation is limited.

Design: Retrospective observational study.

Setting: Five rehabilitation inpatient wards from 1 public local health district in NSW Australia.

Participants: Patient data over a 5-year time frame (2015 to 2019) were reviewed (N = 2378). The patient data from the 3 most prevalent impairment groups (Australasian Rehabilitation Outcome Centre classification) were identified for inclusion in this study: Reconditioning (n = 742, mean age 76.88 years); Orthopedic Fracture (n = 585, mean age 77.46 years); and Orthopedic Replacement (n = 377, mean age 73.84 years).

Measurements: The difference between the admission and discharge scores were calculated for each measure. Kruskal-Wallis and χ2 tests were used to analyze the data.

Results: Pearson correlation (r) coefficients between FIM Motor change to the de Morton’s Mobility Index (DEMMI) change was r = 0.396, FIM Motor change to the Timed Up and Go (TUG) change was r = -0.217, and the FIM Motor change to the Ten Meter Walk Test (10MWT) change was .194.

Conclusion: The FIM Motor change scores showed a weak positive association to the DEMMI change and no association to the TUG and 10MWT change, demonstrating that the outcome measures do not measure the same attributes. To review rehabilitation effectiveness from a management perspective, it is recommended that all measures are reviewed to assess the burden of care, functional mobility, and dynamic balance.

Keywords: physiotherapy; rehabilitation; clinical outcome measures.

 

 

Patients receive interdisciplinary inpatient rehabilitation treatment after they have sustained a lower limb fracture, a lower limb joint replacement, or have generalized deconditioning (muscle wasting and disuse atrophy) following hospitalization for surgery or illness. The degree of a patient’s impairment or loss of functional capacity, as well as their ability to manage at home safely, is assessed using standardized outcome measures during their recovery and rehabilitation.1,2

Physiotherapists routinely use validated outcome measures to assess patient progress and to measure goal attainment through assessment of functional independence, dynamic balance performance, and ambulatory ability. These objective assessments provide clinicians with information about the effectiveness of the rehabilitation program, as well as the patient’s ability to manage in their home environment, to determine the need for assistive devices, level of caregiver support, future level of autonomy, and strategies for falls prevention.3-7

There is a view among service providers that rehabilitation decisions can be based on a singular measure of function known as the Functional Independence Measure (FIM). This is an understandable position because not only is the FIM an internationally recognized, valid, and reliable tool, but, as a singular measure, it also means measurement consistency across rehabilitation sites is more likely. However, rehabilitation is complex, and it is risky to base decisions on a single measure, which might not capture the results of rehabilitation treatment ingredients on individual patient targets.8,9

The patient’s progress is objectively assessed using functional outcome measures such as the FIM. Other measures used typically in our service include the de Morton’s Mobility Index (DEMMI), Timed Up and Go (TUG), and the Ten Meter Walk Test (10MWT), which measure patient mobility, balance during directional changes, and walking ability, respectively. Additional measures include patient progression to a less supportive level of assistance (ie, number of persons required to assist or level of supervision) or the selection of a walking aid (eg, forearm support frame, crutches). This progression—or lack thereof—assists in decision-making regarding the individual’s future once they are discharged from rehabilitation. Such considerations would include the need to modify the home environment, selection of assistive devices, community access (walking indoors, outdoors, and shopping), personal care needs, and age-appropriate care facility recommendations (ie, level of care). The use of outcome measures also indicates the need for further referrals to other care providers upon discharge from the rehabilitation facility.

There is widespread support in the literature for the use of the FIM, DEMMI, TUG, and 10MWT in rehabilitation population groups. For example, DEMMI has been validated in hip fracture patients during rehabilitation,10 as well as among older people hospitalized for medical illness.11-13 It has also been shown to be a predictor of discharge destination for patients living with frailty in geriatric rehabilitation settings,14 and to have moderate predictive validity for functional independence after 4 weeks of rehabilitation.15 Similarly, TUG has been validated for use among hospitalized and community-dwelling individuals,16-18 and for patients after joint arthroplasty19,20 or hip fracture.21 It has also been shown to be an indicator of fall risk,22-24 as well as a predictor of fracture incidence.25 Furthermore, TUG has been identified as an indicator of a patient’s ability to walk in the community without the need for a walking device.26 It has also been shown to be an early identifier of patients in need of rehabilitation.27 Normative values for TUG have been reported, and the association with gait time established.28

 

 

Gait speed has been shown to predict adverse outcomes in community-dwelling older people.29 In fact, the 10MWT has been established as a powerful tool to benchmark rehabilitation recovery after a medical event.30 Results of the test relate to overall quality of walking, health status, morbidity, and the rate of mortality.31-33 Meaningful improvement, minimum detectable change (0.19-0.34 m/s), and responsiveness in common physical performance in older adults has been reported.26,34,36

Structural and functional impairment has been used to define rehabilitation classes by the Australasian Rehabilitation Outcome Centre (AROC) in the Australian National Sub-Acute and Non-Acute Patient Classification (AN-SNAP) Version 4.37-43 Variables used for grouping are age, care type, function, and impairment for rehabilitation. FIM was developed in order to assess patients’ outcomes after inpatient multidisciplinary care, and is an internationally accepted measure of functioning.44 It is a holistic outcome measure, which can be used to determine the patient’s level of disability and burden of care, and is widely used in both public and private inpatient rehabilitation settings. Each patient classification is reported separately within the case mix structure.45 Inpatient rehabilitation centers are evaluated and compared by the AROC,46 with an emphasis on length of stay and the FIM change. The most successful centers demonstrate shorter length of stay and greater FIM improvement. Although the FIM is a valuable measure, it does not provide a complete picture of the individual patient’s rehabilitation gain: ie, the specific attributes of patients’ mobility, walking ability, or balance during directional changes.

A large-scale analysis of the association between the holistic disability measure of the FIM and the more mobility- and ambulation-focused physiotherapy outcomes has not been documented.

The well-documented DEMMI accumulates points for the patient’s mobility in a similar fashion to the FIM, but with more mobility detail. These 2 outcome measures allow for the full range of patients, from the very dependent up to and including the independently ambulant patients. The DEMMI may show a positive relationship to the FIM, yet the association is unknown. The association of the TUG to the 10MWT has been established28; however, their relationship to the FIM is unknown.

Current practice in the participating public health inpatient rehabilitation wards is to use the DEMMI, TUG, 10MWT, and FIM to ensure physiotherapy and allow the wider multidisciplinary team to more effectively evaluate patient mobility outcomes. The 3 most frequent patient groups identified within the current patient population are expected to present clinical differences and will be analyzed for comparison. If an association is found between the outcome measures in question, clinical efficiency could be improved.

 

 

The aim of the current study is to assess the association between change scores in the FIM with evaluative measures of outcomes typically used in physiotherapy to objectively show that use of the FIM in isolation is limited in our population of patients.

Methods

Study design and setting

This retrospective descriptive observational study complied with the STROBE-RECORD guidance and checklist (available at mdedge.com/jcomjournal) and analyzed the routinely collected data from rehabilitation patients who were admitted to 5 different rehabilitation wards in 4 different public hospitals from 1 regional local health district (20-24 beds per ward) from 2015 to 2019. As this study conducted secondary analyses using existing de-identified data from a public health facility and did not involve interaction with any human subjects, ethical approval was not required.46 Approval to conduct this study was granted by the health district’s institutional review committee, as per the National Statement on Ethical Conduct in Human Research 2015.

Participants

Patient data over a 5-year time frame were reviewed (N = 2378). The patient data from the 3 most prevalent impairment groups were identified for inclusion in this study: reconditioning, orthopedic fracture, and orthopedic replacement. (See Table 1 for the specific AN-SNAP impairment groups used in this study.)

Figures and tables from article

Patient data from the less-frequent impairment groups were excluded (n = 673, 28.19%), including stroke (n = 343), brain dysfunction (n = 45), amputation of limb (n = 45), spinal cord dysfunction (n  = 36), neurological dysfunction (n = 34), cardiac (n = 24), and others (n = 25) who may have benefitted from other outcome measures due to their medical condition. Ten patient data sets were excluded for missing discharge outcome measure data, from when the patient became ill and returned to acute services or was discharged at short notice. To be included in the study, both the admission and discharge scores from the FIM and the admission and discharge scores from at least 1 of the physiotherapy outcome measures were required for each patient (n = 1704, 71.39%): Reconditioning (n = 742), Orthopedic Fracture (n = 585), and Orthopedic Replacement (n = 377). Information regarding the type of walking aid and the amount of assistance required for safe ambulation was also recorded. These items were included in the study’s descriptive analysis. Only 1.7% of these descriptors were missing.

Outcome measures

DEMMI tasks of bed mobility, sitting balance, transfers, walking, and balance were scored with an assigned value according to the patient’s performance. This was then tallied and the results scaled, to provide an overall score out of 100 available points. The total score from admission and discharge was then compared. Improvement (change) was identified by the increase in scores.

 

 

The TUG assesses a patient’s dynamic balance performance.47 The number of seconds it took the patient to complete the procedure was recorded at admission and discharge. Improvement (change) was identified by the reduction in time taken at discharge from the admission score.

The 10MWT measures the unidirectional walking speed of a person over 10 meters and is recorded in seconds and reported in meters per second. Improvement (change) was identified by the reduction in the time taken to increase walking speed.

Concurrent to the physiotherapy measures were the FIM scores, recorded by the accredited nursing staff from each rehabilitation ward. Improvement is demonstrated by the accumulation of points on the ordinal scale of the FIM Total, including mobility, dressing, bladder and bowel care, cognition, and social interaction, and is represented as a score between 18 and 126. The FIM Motor category is reported as a score between 13 and 91.

The 2 data sets were matched by unique identifier and admission dates, then de-identified for analysis.

Statistical analysis

Patient demographic information was analyzed using descriptive statistics (mean, SD, frequencies, percentages) for each impairment group (orthopedic fracture, orthopedic replacement, reconditioning). Differences in continuous demographic variables for each impairment group were assessed using Kruskal-Wallis tests and χ2 tests for categorical variables. Functional outcome scores were compared at admission, discharge, and change between the impairment groups. Association of the functional outcome change scores was determined with the Pearson correlation coefficient (r) between the FIM and the DEMMI, TUG, and 10MWT. Graphs were plotted for each of these (Figure available online at mdedge.com/jcomjournal). A strong, moderate, and weak association was described as > 0.6, > 0.4, and > 0.2, respectively.46 Statistical significance was set at P < .05. Analyses were conducted using Stata (StataCorp LLC, USA).

 

 

Results

The patient descriptive data (site from which data were collected, admission length of stay, age at admission, discharge destination, walk aid improvement, and walk assistance improvement) from the 3 impairment groups are reported in Table 2. The functional outcomes for DEMMI, TUG, 10MWT, FIM Motor, FIM Total at admission, discharge, and the change scores are presented in Table 3.

Figures and tables from article

Orthopedic fracture patients had the greatest improvement in their functional outcomes, with a DEMMI improvement of 18 points, TUG score change of 23.49 seconds (s), 10MWT change of 0.30 meters/second (m/s), FIM Motor change of 20.62, and a FIM Total change of 21.9 points. The outcome measures exceeded the minimum detectable change as reported in the literature for DEMMI (8.8 points48), TUG (2.08 s26), walking speed 0.19 m/s26, and FIM Motor (14.6 points49).

Figures and tables from article

Association of functional outcomes (change scores)

There was a significant weak positive correlation between DEMMI change score and both the FIM Motor (r = 0.396) and FIM Total change scores (r = 0.373). When viewing the specific items within the FIM Motor labelled FIM Walk change, FIM MobilityBedChair change, and FIM stairs change, r values were 0.100, 0.379, and 0.126, respectively. In addition, there was a weak negative correlation between TUG change scores and both FIM Motor (r = -0.217) and FIM Total change scores (r = -0.207). There was a very weak positive correlation between 10MWT (m/s) change scores and both FIM Motor (r = 0.194) and FIM Total change scores (r = 0.187) (Table 4, Figure). There was a moderate correlation between 10MWT change (s) and TUG change (s) (r = 0.72, P < .001).

Figures and tables from article

Discussion

The purpose of this study was to ascertain the association between the DEMMI, TUG, 10MWT, and FIM measures using retrospective data collected from 5 public hospital inpatient rehabilitation wards. The results of this retrospective analysis demonstrate that a variety of objective outcome measures are required for the multidisciplinary team to accurately measure a patient’s functional improvement during their inpatient rehabilitation stay. No single outcome measure in this study fully reported all mobility attributes, and we note the risk of basing decisions on a single measure evaluating rehabilitation outcomes. Although the internationally used FIM has a strong place in rehabilitation reporting and benchmarking, it does not predict change nor provide a proxy for the patient’s whole-body motor control as they extend their mobility, dynamic balance, and ambulatory ability. Multiple objective outcome measures should therefore be required to evaluate the patient’s progress and functional performance toward discharge planning.

The FIM is a measure of disability or care needs, incorporating cognitive, social, and physical components of disability. It is a valid, holistic measure of an individual’s functional ability at a given time. Rehabilitation sites internationally utilize this assessment tool to evaluate a patient’s progress and the efficacy of intervention. The strength of this measure is its widespread use and the inclusion of the personal activities of daily living to provide an overall evaluation encompassing all aspects of a person’s ability to function independently. However, as our study results suggest, patient improvement measured by the FIM Motor components were not correlated to other widely used physiotherapy measures of ambulation and balance, such as the 10MWT or TUG. This is perhaps largely because the FIM Motor components only consider the level of assistance (eg, physical assistance, assistive device, independence) and do not consider assessment of balance and gait ability as assessed in the 10MWT and TUG. The 10MWT and TUG provide assessment of velocity and dynamic balance during walking, which have been shown to predict an individual’s risk of falling.22,23 This is a pertinent issue in the rehabilitation and geriatric population.29 Furthermore, the use of the FIM as a benchmarking tool to compare facility efficiency may not provide a complete assessment of all outcomes achieved on the inpatient rehabilitation ward, such as reduced falls risk or improved ambulatory ability and balance.

 

 

Of the objective measures evaluated in our paper, the DEMMI assessment has the most similar components to those of the FIM Motor. It includes evaluating independence with bed mobility, standing up, and ambulation. In addition, the DEMMI includes assessment of both static and dynamic balance. As a result of these commonalities, there was only a weak positive correlation between the change in DEMMI and the change in FIM Motor and FIM Total. However, this correlation is not statistically significant. Therefore, the FIM is not recommended as a replacement of the DEMMI, nor can one be used to predict the other.

It has previously been confirmed that there is a significant positive correlation between the 10MWT and the TUG.27 This retrospective analysis has also supported these findings. This is possibly due to the similarity in the assessments, as they both incorporate ambulation ability and dynamic movement.

Each of the 4 outcome measures assess different yet vital aspects of an individual’s functional mobility and ambulation ability during their subacute rehabilitation journey. The diversity of patient age, functional impairment, and mobility level needs a range of outcomes to provide baselines, targets, and goal attainment for discharge home.

Consistent with the AROC AN-SNAP reporting of Length of Stay and FIM change separated into the weighted impairment groups, the data analysis of this study demonstrated significant differences between the Reconditioning, Orthopedic Fracture, and Orthopedic Replacement patient data. Tables 2 and 3 describe the differences between the groups. The fracture population in this study improved the most across each outcome measure. In contrast, the reconditioning population showed the least improvement. This may be expected due to the pathophysiological differences between the groups. Furthermore, for the elderly who sustain fractures because of a fall, rehabilitation will be required to address not only the presenting injury but also the premorbid falls risk factors which may include polypharmacy or impaired balance.

Any conclusions drawn from the findings of this study need to take into consideration that it has focused on patients from 1 local health district and therefore may not be generalizable to a wider national or international context. As this study was a retrospective study, controlling for data collection quality, measurement bias due to nonblinding and missing data is a limitation. However, clinicians regularly completed these outcome assessments and recorded this information as part of their standard care practices within this health district. There may have been slight differences in definitions of practice between the 5 rehabilitation sites. To ensure reliability, each individual site’s protocols for the FIM, DEMMI, TUG, and 10MWT were reviewed and confirmed to be consistent.

 

 

It is important, too, to consider the ceiling effect for the FIM scores. For patients requiring a walking aid well after discharge, the highest level of independence from the walking aid will not be achieved. It is acknowledged that the floor effect of the 10MWT and TUG may also influence the outcomes of this study. In addition, data were not collected on preadmission functional measures to enable further evaluation of the population groups. The proportion of variance in change from admission to discharge for TUG and 10MWT to FIM was less than 5%, so the correlation interpretation from this type of scaling is limited. Further research into outcome measures for inpatient rehabilitation in respect to variables such as patient age, length of stay, discharge destination, and efficacy of intervention is warranted.

Conclusion

The FIM Motor change scores showed a weak positive association to the DEMMI change, and no association to the TUG and 10MWT change, demonstrating that the outcome measures do not measure the same attributes. Thorough reporting of clinical outcomes is much more meaningful to assess and guide the physiotherapy component of rehabilitation. To review rehabilitation effectiveness from a management perspective, it is recommended that all measures are reviewed to assess the burden of care, mobility, functional capacity, and dynamic balance.

Acknowledgements: The authors thank Anne Smith, MSHLM, BAppSc, Head of the Physiotherapy Department, and the physiotherapists and allied health assistants who have contributed to the collection of this valuable data over several years. They also thank Lina Baytieh, MS, BS, from Research Central, Illawarra Shoalhaven Local Health District, for her assistance with the analysis.

Corresponding author: Maren Jones, MPH, BS, Physiotherapy Department, Port Kembla Hospital, Illawarra Shoalhaven Local Health District, Warrawong, New South Wales, 2505 Australia; [email protected].

Financial disclosures: None.

From Illawarra Shoalhaven Local Health District, New South Wales, Australia (Maren Jones, Dr. Hewitt, Philippa King, Rhiannon Thorn, Edward Davidson, and Tiana-Lee Elphick), and Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, New South Wales, Australia (Dr. Hewitt)

Objective: To assess the association between change scores in the Functional Independence Measure (FIM) with evaluative measures used in physiotherapy to objectively show that use of the FIM in isolation is limited.

Design: Retrospective observational study.

Setting: Five rehabilitation inpatient wards from 1 public local health district in NSW Australia.

Participants: Patient data over a 5-year time frame (2015 to 2019) were reviewed (N = 2378). The patient data from the 3 most prevalent impairment groups (Australasian Rehabilitation Outcome Centre classification) were identified for inclusion in this study: Reconditioning (n = 742, mean age 76.88 years); Orthopedic Fracture (n = 585, mean age 77.46 years); and Orthopedic Replacement (n = 377, mean age 73.84 years).

Measurements: The difference between the admission and discharge scores were calculated for each measure. Kruskal-Wallis and χ2 tests were used to analyze the data.

Results: Pearson correlation (r) coefficients between FIM Motor change to the de Morton’s Mobility Index (DEMMI) change was r = 0.396, FIM Motor change to the Timed Up and Go (TUG) change was r = -0.217, and the FIM Motor change to the Ten Meter Walk Test (10MWT) change was .194.

Conclusion: The FIM Motor change scores showed a weak positive association to the DEMMI change and no association to the TUG and 10MWT change, demonstrating that the outcome measures do not measure the same attributes. To review rehabilitation effectiveness from a management perspective, it is recommended that all measures are reviewed to assess the burden of care, functional mobility, and dynamic balance.

Keywords: physiotherapy; rehabilitation; clinical outcome measures.

 

 

Patients receive interdisciplinary inpatient rehabilitation treatment after they have sustained a lower limb fracture, a lower limb joint replacement, or have generalized deconditioning (muscle wasting and disuse atrophy) following hospitalization for surgery or illness. The degree of a patient’s impairment or loss of functional capacity, as well as their ability to manage at home safely, is assessed using standardized outcome measures during their recovery and rehabilitation.1,2

Physiotherapists routinely use validated outcome measures to assess patient progress and to measure goal attainment through assessment of functional independence, dynamic balance performance, and ambulatory ability. These objective assessments provide clinicians with information about the effectiveness of the rehabilitation program, as well as the patient’s ability to manage in their home environment, to determine the need for assistive devices, level of caregiver support, future level of autonomy, and strategies for falls prevention.3-7

There is a view among service providers that rehabilitation decisions can be based on a singular measure of function known as the Functional Independence Measure (FIM). This is an understandable position because not only is the FIM an internationally recognized, valid, and reliable tool, but, as a singular measure, it also means measurement consistency across rehabilitation sites is more likely. However, rehabilitation is complex, and it is risky to base decisions on a single measure, which might not capture the results of rehabilitation treatment ingredients on individual patient targets.8,9

The patient’s progress is objectively assessed using functional outcome measures such as the FIM. Other measures used typically in our service include the de Morton’s Mobility Index (DEMMI), Timed Up and Go (TUG), and the Ten Meter Walk Test (10MWT), which measure patient mobility, balance during directional changes, and walking ability, respectively. Additional measures include patient progression to a less supportive level of assistance (ie, number of persons required to assist or level of supervision) or the selection of a walking aid (eg, forearm support frame, crutches). This progression—or lack thereof—assists in decision-making regarding the individual’s future once they are discharged from rehabilitation. Such considerations would include the need to modify the home environment, selection of assistive devices, community access (walking indoors, outdoors, and shopping), personal care needs, and age-appropriate care facility recommendations (ie, level of care). The use of outcome measures also indicates the need for further referrals to other care providers upon discharge from the rehabilitation facility.

There is widespread support in the literature for the use of the FIM, DEMMI, TUG, and 10MWT in rehabilitation population groups. For example, DEMMI has been validated in hip fracture patients during rehabilitation,10 as well as among older people hospitalized for medical illness.11-13 It has also been shown to be a predictor of discharge destination for patients living with frailty in geriatric rehabilitation settings,14 and to have moderate predictive validity for functional independence after 4 weeks of rehabilitation.15 Similarly, TUG has been validated for use among hospitalized and community-dwelling individuals,16-18 and for patients after joint arthroplasty19,20 or hip fracture.21 It has also been shown to be an indicator of fall risk,22-24 as well as a predictor of fracture incidence.25 Furthermore, TUG has been identified as an indicator of a patient’s ability to walk in the community without the need for a walking device.26 It has also been shown to be an early identifier of patients in need of rehabilitation.27 Normative values for TUG have been reported, and the association with gait time established.28

 

 

Gait speed has been shown to predict adverse outcomes in community-dwelling older people.29 In fact, the 10MWT has been established as a powerful tool to benchmark rehabilitation recovery after a medical event.30 Results of the test relate to overall quality of walking, health status, morbidity, and the rate of mortality.31-33 Meaningful improvement, minimum detectable change (0.19-0.34 m/s), and responsiveness in common physical performance in older adults has been reported.26,34,36

Structural and functional impairment has been used to define rehabilitation classes by the Australasian Rehabilitation Outcome Centre (AROC) in the Australian National Sub-Acute and Non-Acute Patient Classification (AN-SNAP) Version 4.37-43 Variables used for grouping are age, care type, function, and impairment for rehabilitation. FIM was developed in order to assess patients’ outcomes after inpatient multidisciplinary care, and is an internationally accepted measure of functioning.44 It is a holistic outcome measure, which can be used to determine the patient’s level of disability and burden of care, and is widely used in both public and private inpatient rehabilitation settings. Each patient classification is reported separately within the case mix structure.45 Inpatient rehabilitation centers are evaluated and compared by the AROC,46 with an emphasis on length of stay and the FIM change. The most successful centers demonstrate shorter length of stay and greater FIM improvement. Although the FIM is a valuable measure, it does not provide a complete picture of the individual patient’s rehabilitation gain: ie, the specific attributes of patients’ mobility, walking ability, or balance during directional changes.

A large-scale analysis of the association between the holistic disability measure of the FIM and the more mobility- and ambulation-focused physiotherapy outcomes has not been documented.

The well-documented DEMMI accumulates points for the patient’s mobility in a similar fashion to the FIM, but with more mobility detail. These 2 outcome measures allow for the full range of patients, from the very dependent up to and including the independently ambulant patients. The DEMMI may show a positive relationship to the FIM, yet the association is unknown. The association of the TUG to the 10MWT has been established28; however, their relationship to the FIM is unknown.

Current practice in the participating public health inpatient rehabilitation wards is to use the DEMMI, TUG, 10MWT, and FIM to ensure physiotherapy and allow the wider multidisciplinary team to more effectively evaluate patient mobility outcomes. The 3 most frequent patient groups identified within the current patient population are expected to present clinical differences and will be analyzed for comparison. If an association is found between the outcome measures in question, clinical efficiency could be improved.

 

 

The aim of the current study is to assess the association between change scores in the FIM with evaluative measures of outcomes typically used in physiotherapy to objectively show that use of the FIM in isolation is limited in our population of patients.

Methods

Study design and setting

This retrospective descriptive observational study complied with the STROBE-RECORD guidance and checklist (available at mdedge.com/jcomjournal) and analyzed the routinely collected data from rehabilitation patients who were admitted to 5 different rehabilitation wards in 4 different public hospitals from 1 regional local health district (20-24 beds per ward) from 2015 to 2019. As this study conducted secondary analyses using existing de-identified data from a public health facility and did not involve interaction with any human subjects, ethical approval was not required.46 Approval to conduct this study was granted by the health district’s institutional review committee, as per the National Statement on Ethical Conduct in Human Research 2015.

Participants

Patient data over a 5-year time frame were reviewed (N = 2378). The patient data from the 3 most prevalent impairment groups were identified for inclusion in this study: reconditioning, orthopedic fracture, and orthopedic replacement. (See Table 1 for the specific AN-SNAP impairment groups used in this study.)

Figures and tables from article

Patient data from the less-frequent impairment groups were excluded (n = 673, 28.19%), including stroke (n = 343), brain dysfunction (n = 45), amputation of limb (n = 45), spinal cord dysfunction (n  = 36), neurological dysfunction (n = 34), cardiac (n = 24), and others (n = 25) who may have benefitted from other outcome measures due to their medical condition. Ten patient data sets were excluded for missing discharge outcome measure data, from when the patient became ill and returned to acute services or was discharged at short notice. To be included in the study, both the admission and discharge scores from the FIM and the admission and discharge scores from at least 1 of the physiotherapy outcome measures were required for each patient (n = 1704, 71.39%): Reconditioning (n = 742), Orthopedic Fracture (n = 585), and Orthopedic Replacement (n = 377). Information regarding the type of walking aid and the amount of assistance required for safe ambulation was also recorded. These items were included in the study’s descriptive analysis. Only 1.7% of these descriptors were missing.

Outcome measures

DEMMI tasks of bed mobility, sitting balance, transfers, walking, and balance were scored with an assigned value according to the patient’s performance. This was then tallied and the results scaled, to provide an overall score out of 100 available points. The total score from admission and discharge was then compared. Improvement (change) was identified by the increase in scores.

 

 

The TUG assesses a patient’s dynamic balance performance.47 The number of seconds it took the patient to complete the procedure was recorded at admission and discharge. Improvement (change) was identified by the reduction in time taken at discharge from the admission score.

The 10MWT measures the unidirectional walking speed of a person over 10 meters and is recorded in seconds and reported in meters per second. Improvement (change) was identified by the reduction in the time taken to increase walking speed.

Concurrent to the physiotherapy measures were the FIM scores, recorded by the accredited nursing staff from each rehabilitation ward. Improvement is demonstrated by the accumulation of points on the ordinal scale of the FIM Total, including mobility, dressing, bladder and bowel care, cognition, and social interaction, and is represented as a score between 18 and 126. The FIM Motor category is reported as a score between 13 and 91.

The 2 data sets were matched by unique identifier and admission dates, then de-identified for analysis.

Statistical analysis

Patient demographic information was analyzed using descriptive statistics (mean, SD, frequencies, percentages) for each impairment group (orthopedic fracture, orthopedic replacement, reconditioning). Differences in continuous demographic variables for each impairment group were assessed using Kruskal-Wallis tests and χ2 tests for categorical variables. Functional outcome scores were compared at admission, discharge, and change between the impairment groups. Association of the functional outcome change scores was determined with the Pearson correlation coefficient (r) between the FIM and the DEMMI, TUG, and 10MWT. Graphs were plotted for each of these (Figure available online at mdedge.com/jcomjournal). A strong, moderate, and weak association was described as > 0.6, > 0.4, and > 0.2, respectively.46 Statistical significance was set at P < .05. Analyses were conducted using Stata (StataCorp LLC, USA).

 

 

Results

The patient descriptive data (site from which data were collected, admission length of stay, age at admission, discharge destination, walk aid improvement, and walk assistance improvement) from the 3 impairment groups are reported in Table 2. The functional outcomes for DEMMI, TUG, 10MWT, FIM Motor, FIM Total at admission, discharge, and the change scores are presented in Table 3.

Figures and tables from article

Orthopedic fracture patients had the greatest improvement in their functional outcomes, with a DEMMI improvement of 18 points, TUG score change of 23.49 seconds (s), 10MWT change of 0.30 meters/second (m/s), FIM Motor change of 20.62, and a FIM Total change of 21.9 points. The outcome measures exceeded the minimum detectable change as reported in the literature for DEMMI (8.8 points48), TUG (2.08 s26), walking speed 0.19 m/s26, and FIM Motor (14.6 points49).

Figures and tables from article

Association of functional outcomes (change scores)

There was a significant weak positive correlation between DEMMI change score and both the FIM Motor (r = 0.396) and FIM Total change scores (r = 0.373). When viewing the specific items within the FIM Motor labelled FIM Walk change, FIM MobilityBedChair change, and FIM stairs change, r values were 0.100, 0.379, and 0.126, respectively. In addition, there was a weak negative correlation between TUG change scores and both FIM Motor (r = -0.217) and FIM Total change scores (r = -0.207). There was a very weak positive correlation between 10MWT (m/s) change scores and both FIM Motor (r = 0.194) and FIM Total change scores (r = 0.187) (Table 4, Figure). There was a moderate correlation between 10MWT change (s) and TUG change (s) (r = 0.72, P < .001).

Figures and tables from article

Discussion

The purpose of this study was to ascertain the association between the DEMMI, TUG, 10MWT, and FIM measures using retrospective data collected from 5 public hospital inpatient rehabilitation wards. The results of this retrospective analysis demonstrate that a variety of objective outcome measures are required for the multidisciplinary team to accurately measure a patient’s functional improvement during their inpatient rehabilitation stay. No single outcome measure in this study fully reported all mobility attributes, and we note the risk of basing decisions on a single measure evaluating rehabilitation outcomes. Although the internationally used FIM has a strong place in rehabilitation reporting and benchmarking, it does not predict change nor provide a proxy for the patient’s whole-body motor control as they extend their mobility, dynamic balance, and ambulatory ability. Multiple objective outcome measures should therefore be required to evaluate the patient’s progress and functional performance toward discharge planning.

The FIM is a measure of disability or care needs, incorporating cognitive, social, and physical components of disability. It is a valid, holistic measure of an individual’s functional ability at a given time. Rehabilitation sites internationally utilize this assessment tool to evaluate a patient’s progress and the efficacy of intervention. The strength of this measure is its widespread use and the inclusion of the personal activities of daily living to provide an overall evaluation encompassing all aspects of a person’s ability to function independently. However, as our study results suggest, patient improvement measured by the FIM Motor components were not correlated to other widely used physiotherapy measures of ambulation and balance, such as the 10MWT or TUG. This is perhaps largely because the FIM Motor components only consider the level of assistance (eg, physical assistance, assistive device, independence) and do not consider assessment of balance and gait ability as assessed in the 10MWT and TUG. The 10MWT and TUG provide assessment of velocity and dynamic balance during walking, which have been shown to predict an individual’s risk of falling.22,23 This is a pertinent issue in the rehabilitation and geriatric population.29 Furthermore, the use of the FIM as a benchmarking tool to compare facility efficiency may not provide a complete assessment of all outcomes achieved on the inpatient rehabilitation ward, such as reduced falls risk or improved ambulatory ability and balance.

 

 

Of the objective measures evaluated in our paper, the DEMMI assessment has the most similar components to those of the FIM Motor. It includes evaluating independence with bed mobility, standing up, and ambulation. In addition, the DEMMI includes assessment of both static and dynamic balance. As a result of these commonalities, there was only a weak positive correlation between the change in DEMMI and the change in FIM Motor and FIM Total. However, this correlation is not statistically significant. Therefore, the FIM is not recommended as a replacement of the DEMMI, nor can one be used to predict the other.

It has previously been confirmed that there is a significant positive correlation between the 10MWT and the TUG.27 This retrospective analysis has also supported these findings. This is possibly due to the similarity in the assessments, as they both incorporate ambulation ability and dynamic movement.

Each of the 4 outcome measures assess different yet vital aspects of an individual’s functional mobility and ambulation ability during their subacute rehabilitation journey. The diversity of patient age, functional impairment, and mobility level needs a range of outcomes to provide baselines, targets, and goal attainment for discharge home.

Consistent with the AROC AN-SNAP reporting of Length of Stay and FIM change separated into the weighted impairment groups, the data analysis of this study demonstrated significant differences between the Reconditioning, Orthopedic Fracture, and Orthopedic Replacement patient data. Tables 2 and 3 describe the differences between the groups. The fracture population in this study improved the most across each outcome measure. In contrast, the reconditioning population showed the least improvement. This may be expected due to the pathophysiological differences between the groups. Furthermore, for the elderly who sustain fractures because of a fall, rehabilitation will be required to address not only the presenting injury but also the premorbid falls risk factors which may include polypharmacy or impaired balance.

Any conclusions drawn from the findings of this study need to take into consideration that it has focused on patients from 1 local health district and therefore may not be generalizable to a wider national or international context. As this study was a retrospective study, controlling for data collection quality, measurement bias due to nonblinding and missing data is a limitation. However, clinicians regularly completed these outcome assessments and recorded this information as part of their standard care practices within this health district. There may have been slight differences in definitions of practice between the 5 rehabilitation sites. To ensure reliability, each individual site’s protocols for the FIM, DEMMI, TUG, and 10MWT were reviewed and confirmed to be consistent.

 

 

It is important, too, to consider the ceiling effect for the FIM scores. For patients requiring a walking aid well after discharge, the highest level of independence from the walking aid will not be achieved. It is acknowledged that the floor effect of the 10MWT and TUG may also influence the outcomes of this study. In addition, data were not collected on preadmission functional measures to enable further evaluation of the population groups. The proportion of variance in change from admission to discharge for TUG and 10MWT to FIM was less than 5%, so the correlation interpretation from this type of scaling is limited. Further research into outcome measures for inpatient rehabilitation in respect to variables such as patient age, length of stay, discharge destination, and efficacy of intervention is warranted.

Conclusion

The FIM Motor change scores showed a weak positive association to the DEMMI change, and no association to the TUG and 10MWT change, demonstrating that the outcome measures do not measure the same attributes. Thorough reporting of clinical outcomes is much more meaningful to assess and guide the physiotherapy component of rehabilitation. To review rehabilitation effectiveness from a management perspective, it is recommended that all measures are reviewed to assess the burden of care, mobility, functional capacity, and dynamic balance.

Acknowledgements: The authors thank Anne Smith, MSHLM, BAppSc, Head of the Physiotherapy Department, and the physiotherapists and allied health assistants who have contributed to the collection of this valuable data over several years. They also thank Lina Baytieh, MS, BS, from Research Central, Illawarra Shoalhaven Local Health District, for her assistance with the analysis.

Corresponding author: Maren Jones, MPH, BS, Physiotherapy Department, Port Kembla Hospital, Illawarra Shoalhaven Local Health District, Warrawong, New South Wales, 2505 Australia; [email protected].

Financial disclosures: None.

References

1. Centers for Disease Control and Prevention. Disability and health overview. Impairments, activity limitations and participation restrictions. September 16, 2020. https://www.cdc.gov/ncbddd/disabilityandhealth/disability.html

2. The Royal Australasian College of Physicians. Australasian Faculty of Rehabilitation Medicine. Standards for the Provision of Inpatient Adult Rehabilitation Medicine Services in Public and Private Hospitals. February 2019:7-9. https://www.racp.edu.au/docs/default-source/advocacy-library/afrm-standards-for-the-provision-of-inpatient-adult-rehabilitation-medicine-services-in-public-and-private-hospitals.pdf?sfvrsn=4690171a_4

3. NSW Agency for Clinical Innovation. NSW rehabilitation model of care. June 1, 2015. https://aci.health.nsw.gov.au/resources/rehabilitation/rehabilitation-model-of-care/rehabilitation-moc

4. The State of Queensland (Queensland Health). Clinical task instructions. June 22, 2021. https://www.health.qld.gov.au/ahwac/html/clintaskinstructions

5. Panel on Prevention of Falls in Older Persons, American Geriatrics Society and British Geriatrics Society. Summary of the updated American Geriatrics Society/British Geriatrics Society clinical practice guideline for prevention of falls in older persons. J Am Geriatr Soc. 2011;59(1):148-157. doi:10.1111/j.1532-5415.2010.03234.x

6. Suwannarat P, Kaewsanmung S, Thaweewannakij T, Amatachaya S. The use of functional performance tests by primary health-care providers to determine walking ability with and without a walking device in community-dwelling elderly. Physiother Theory Pract. 2021;37(1):64-72. doi:10.1080/09593985.2019.1606372

7. Lee K-J, Um S-H, Kim Y-H. Postoperative rehabilitation after hip fracture: a literature review. Hip Pelvis. 2020;32(3):125-131. doi:10.5371/hp.2020.32.3.125

8. Wade DT, Smeets RJEM, Verbunt JA. Research in rehabilitation medicine: methodological challenges. J Clin Epidemiol. 2010;63(7):699-704. doi:10.1016/j.clinepi.2009.07.010

9. Wade DT. Outcome measures for clinical rehabilitation trials: impairment, function, quality of life, or value? Am J Phys Med Rehabil. 2003;82(suppl 10):S26-S31. doi:10.1097/01.PHM.0000086996.89383.A1

10. de Morton NA, Harding KE, Taylor NF, Harrison G. Validity of the de Morton NA Mobility Index (DEMMI) for measuring the mobility of patients with hip fracture during rehabilitation. Disabil Rehabil. 2013;35(4):325-333. doi:10.3109/09638288.2012.705220

11. Trøstrup J, Andersen H, Kam CAM, et al. Assessment of mobility in older people hospitalized for medical illness using the de Morton Mobility Index and cumulated ambulation score—validity and minimal clinical important difference. J Geriatr Phys Ther. 2019;42(3):153-160. doi:10.1519/JPT.0000000000000170

12. Gazzoti A, Meyer U, Freystaetter G, et al. Physical performance among patients aged 70+ in acute care: a preliminary comparison between the Short Physical Performance Battery and the De Morton Mobility Index with regard to sensitivity to change and prediction of discharge destination. Aging Clin Exp Res. 2020;32(4):579-586. doi:10.1007/s40520-019-1249-9

13. Tavares LS, Moreno NA, de Aquino BG, et al. Reliability, validity, interpretability and responsiveness of the DEMMI mobility index for Brazilian older hospitalized patients. PLoS One. 2020;15(3):e0230047. doi:10.1371/journal.pone.0230047

14. Braun T, Schulz R-J, Reinke J. Reliability and validity of the German translation of the de Morton Mobility Index performed by physiotherapists in patients admitted to a sub-acute inpatient geriatric rehabilitation hospital. BMC Geriatr. 2015;15:38. doi:10.1186/s12877-015-0035-y

15. Søndergaard K, Petersen LE, Pedersen MK, et al. The responsiveness and predictive validity of the de Morton Mobility Index in geriatric rehabilitation. Disabil Rehabil. 2020 Jun 12. [Epub ahead of print] doi:10.1080/09638288.2020.1771438

16. de Morton NA, Brusco NK, Wood L, et al. The de Morton Mobility Index (DEMMI) provides a valid method for measuring and monitoring the mobility of patients making the transition from hospital to the community: an observational study. J Physiother. 2011;57(2):109-116. doi:10.1016/S1836-9553(11)70021-2

17. Caronni A, Sterpi I, Antoniotti P, et al. Criterion validity of the instrumented Timed Up and Go test: a partial least square regression study. Gait Posture. 2018;61(3):287-293. doi:10.1016/j.gaitpost.2018.01.015

18. Kristensen MT, Bloch ML, Jonsson LR, Jakobsen TL. Interrater reliability of the standardized Timed Up and Go Test when used in hospitalized and community-dwelling individuals. Physiother Res Int. 2019;24(2):e1769. doi:10.1002/pri.1769

19. Yuksel E, Kalkan S, Cekmece S, et al. Assessing minimal detectable changes and test-retest reliability of the timed up and go test and 2-minute walk test in patients with total knee arthroplasty. J Arthroplasty. 2017;32(2):426-430. doi:10.1016/j.arth.2016.07.031

20. Yuksel E, Unver B, Kalkan S, Karatosun V. Reliability and minimal detectable change of the 2-minute walk test and Timed Up and Go test in patients with total hip arthroplasty. Hip Int. 2021;31(1):43-49. doi:10.1177/1120700019888614

21. Faleide AGH, Bogen BE, Magnussen LH. Intra-session test-retest reliability of the Timed “Up & Go” Test when performed by patients with hip fractures. Eur J Physiother. 2015;17(2):89-97. doi:10.3109/21679169.2015.1043579

22. Barry E, Galvin R, Keogh C, et al. Is the timed up and go test a useful predictor of risk of falls in community dwelling older adults: a systematic review and meta- analysis. BMC Geriatr. 2014;14:14. doi:10.1186/1471-2318-14-14

23. Kojima G, Masud T, Kendrick D, et al. Does the timed up and go test predict future falls among British community-dwelling older people? Prospective cohort study nested within a randomised controlled trial. BMC Geriatr. 2015;15:38. doi:10.1186/s12877-015-0039-7

24. Shumway-Cook A, Brauer S, Woollacott M. Predicting the probability for falls in community-dwelling older adults using the timed up & go test. Phys Ther. 2000;80(9):896-903.

25. Jeong SM, Shin DW, Han K, et al. Timed Up-and-Go test is a useful predictor of fracture incidence. Bone. 2019;127:474-481. doi:10.1016/j.bone.2019.07.018

26. Donaghue OA, Savva GM, Börsch-Supan A, Kenny RA. Reliability, measurement error and minimum detectable change in reliability measurement error and minimum detectable change in mobility measures: a cohort study of community dwelling adults aged 50 years and over in Ireland. BMJ Open. 2019;9(11):e030475. doi:10/1136.bmjopen-2019-030475

27. Freter SH, Fruchter N. Relationship between timed ‘up and go’ and gait time in an elderly orthopaedic rehabilitation population. Clin Rehabil. 2000;14(1):96-101. doi:10.1191/026921500675545616

28. Kear BM, Guck TP, McGaha AL. Timed up and go (TUG) test: normative reference values for ages 20 to 59 years and relationships with physical and mental health risk factors. J Prim Care Community Health. 2017;8(1):9-13. doi:10.1177/2150131916659282

29. Abellan van Kan G, Rolland Y, Andrieu S, et al. Gait speed at usual pace as a predictor of adverse outcomes in community-dwelling older people: an International Academy on Nutrition and Aging (IANA) Task Force. J Nutr Health Aging. 2009;13(10)881-889. doi:10.1007/s12603-009-0246-z

30. Unver B, Baris RH, Yusel E, et al. Reliability of 4-meter and 10-meter walk tests after lower extremity surgery. Disabil Rehabil. 2017;39(25):2572-2576. doi:10.1080/09638288.2016.1236153

31. Fritz S, Lusardi M. White paper: “walking speed: the sixth vital sign.” J Geriatr Phys Ther. 2009;32(2):46-49.

32. Studenski S, Perera S, Patel K, et al. Gait speed and survival in older adults. JAMA. 2011;305(1):50-58. doi:10.1001/jama.2010.1923

33. Bohannon R. Comfortable and maximum walking speed of adults aged 20-79 years: reference values and determinants. Age Ageing. 1997;26(1):15-19. doi:10.1093/ageing/26.1.15

34. Perera S, Mody SH, Woodman RC, Studenski SA. Meaningful change and responsiveness in common physical performance in older adults. J Am Geriatr Soc. 2006;54(5):743-749. doi:10.1111/j.1532-5415.2006.00701.x

35. Hollman J, Beckman B, Brandt R, et al. Minimum detectable change in gait velocity during acute rehabilitation following hip fracture. J Geriatr Phys Ther. 2008;31(2):53-56. doi:10.1519/00139143-200831020-00003

36. Bohannon RW, Andrews AW. Normal walking speed: a descriptive meta-analysis. Physiotherapy. 2011;97(3):182-189. doi:10.1016/j.physio.2010.12.004

37. Granger CV, Hamilton BB, Keith RA, et al. Advances in functional assessment for medical rehabilitation. Top Geriatr Rehabil. 1986;1:59-74.

38. Keith RA, Granger CV, Hamilton BB, Sherwin FS. The Functional Independence Measure: a new tool for rehabilitation. In: Eisenberg MG, Grzesiak RC, eds. Advances in Clinical Rehabilitation. Springer-Verlag; 1987:6-18.

39. Linacre JM, Heinemann AW, Wright BD, et al. The structure and stability of the Functional Independence Measure. Arch Phys Med Rehabil. 1994;75(2):127-132.

40. Coster WJ, Haley SM, Jette AM. Measuring patient-reported outcomes after discharge from inpatient rehabilitation settings. J Rehabil Med. 2006;38(4):237-242. doi:10.1080/16501970600609774

41. Street L. Frequently asked questions about FIM. Journal of the Australasian Rehabilitation Nurses Association. 2014;17(1):21-22. https://ro.uow.edu.au/ahsri/296/

42. Green JP, Gordon R, Blanchard MB, et al. Development of the Australian National Subacute and Non-acute Patient (AN-SNAP) Classification. Version 4 Final Report. Australian Health Services Research Institute, University of Wollongong, 2015. https://ro.uow.edu.au/ahsri/760

43. Australasian Rehabilitation Outcomes Centre. University of Wollongong, Australia. https://www.uow.edu.au/ahsri/aroc/

44. Green J, Gordon R, Kobel C, et al; Centre for Health Service Development. The Australian National Subacute and Non-acute Patient Classification. AN-SNAP V4 User Manual. May 2015. https://documents.uow.edu.au/content/groups/public/@web/@chsd/@aroc/documents/doc/uow194637.pdf

45. Alexander TL, Simmonds FD, Capelle JT, Green LJ. Anywhere Hospital AROC Impairment Specific Report on Reconditioning (Inpatient–Pathway 3), July 2018–June 2019. Australasian Rehabilitation Outcomes Centre, Australian Health Services Research Institute, University of Wollongong; 2019. ro.uow.edu.au/ahsri/1110

46. Evans JD. Straightforward Statistics for the Behavioural Sciences. Brooks/Cole Publishing; 1996.

47. Lee SP, Dufek J, Hickman R, Schuerman S. Influence of procedural factors on the reliability and performance of the timed up-and-go test in older adults. Int J Gerontol. 2016;10(1):37-42. doi:10.1016/j.ijge.2015

48. New PW, Scroggie GD, Williams CM. The validity, reliability, responsiveness and minimal clinically important difference of the de Morton Mobility Index in rehabilitation. Disabil Rehabil. 2017;39(10):1039-1043. doi:10.10801/09638288.2016.1179800

49. Nakaguchi T, Ishimoto Y, Akazawa N. Functional Independence Measure for patients with locomotor disorders in convalescent rehabilitation wards. Clinically significant minimum difference in exercise score gain. Physiotherapy Science. 2018;33(2):235-240.

References

1. Centers for Disease Control and Prevention. Disability and health overview. Impairments, activity limitations and participation restrictions. September 16, 2020. https://www.cdc.gov/ncbddd/disabilityandhealth/disability.html

2. The Royal Australasian College of Physicians. Australasian Faculty of Rehabilitation Medicine. Standards for the Provision of Inpatient Adult Rehabilitation Medicine Services in Public and Private Hospitals. February 2019:7-9. https://www.racp.edu.au/docs/default-source/advocacy-library/afrm-standards-for-the-provision-of-inpatient-adult-rehabilitation-medicine-services-in-public-and-private-hospitals.pdf?sfvrsn=4690171a_4

3. NSW Agency for Clinical Innovation. NSW rehabilitation model of care. June 1, 2015. https://aci.health.nsw.gov.au/resources/rehabilitation/rehabilitation-model-of-care/rehabilitation-moc

4. The State of Queensland (Queensland Health). Clinical task instructions. June 22, 2021. https://www.health.qld.gov.au/ahwac/html/clintaskinstructions

5. Panel on Prevention of Falls in Older Persons, American Geriatrics Society and British Geriatrics Society. Summary of the updated American Geriatrics Society/British Geriatrics Society clinical practice guideline for prevention of falls in older persons. J Am Geriatr Soc. 2011;59(1):148-157. doi:10.1111/j.1532-5415.2010.03234.x

6. Suwannarat P, Kaewsanmung S, Thaweewannakij T, Amatachaya S. The use of functional performance tests by primary health-care providers to determine walking ability with and without a walking device in community-dwelling elderly. Physiother Theory Pract. 2021;37(1):64-72. doi:10.1080/09593985.2019.1606372

7. Lee K-J, Um S-H, Kim Y-H. Postoperative rehabilitation after hip fracture: a literature review. Hip Pelvis. 2020;32(3):125-131. doi:10.5371/hp.2020.32.3.125

8. Wade DT, Smeets RJEM, Verbunt JA. Research in rehabilitation medicine: methodological challenges. J Clin Epidemiol. 2010;63(7):699-704. doi:10.1016/j.clinepi.2009.07.010

9. Wade DT. Outcome measures for clinical rehabilitation trials: impairment, function, quality of life, or value? Am J Phys Med Rehabil. 2003;82(suppl 10):S26-S31. doi:10.1097/01.PHM.0000086996.89383.A1

10. de Morton NA, Harding KE, Taylor NF, Harrison G. Validity of the de Morton NA Mobility Index (DEMMI) for measuring the mobility of patients with hip fracture during rehabilitation. Disabil Rehabil. 2013;35(4):325-333. doi:10.3109/09638288.2012.705220

11. Trøstrup J, Andersen H, Kam CAM, et al. Assessment of mobility in older people hospitalized for medical illness using the de Morton Mobility Index and cumulated ambulation score—validity and minimal clinical important difference. J Geriatr Phys Ther. 2019;42(3):153-160. doi:10.1519/JPT.0000000000000170

12. Gazzoti A, Meyer U, Freystaetter G, et al. Physical performance among patients aged 70+ in acute care: a preliminary comparison between the Short Physical Performance Battery and the De Morton Mobility Index with regard to sensitivity to change and prediction of discharge destination. Aging Clin Exp Res. 2020;32(4):579-586. doi:10.1007/s40520-019-1249-9

13. Tavares LS, Moreno NA, de Aquino BG, et al. Reliability, validity, interpretability and responsiveness of the DEMMI mobility index for Brazilian older hospitalized patients. PLoS One. 2020;15(3):e0230047. doi:10.1371/journal.pone.0230047

14. Braun T, Schulz R-J, Reinke J. Reliability and validity of the German translation of the de Morton Mobility Index performed by physiotherapists in patients admitted to a sub-acute inpatient geriatric rehabilitation hospital. BMC Geriatr. 2015;15:38. doi:10.1186/s12877-015-0035-y

15. Søndergaard K, Petersen LE, Pedersen MK, et al. The responsiveness and predictive validity of the de Morton Mobility Index in geriatric rehabilitation. Disabil Rehabil. 2020 Jun 12. [Epub ahead of print] doi:10.1080/09638288.2020.1771438

16. de Morton NA, Brusco NK, Wood L, et al. The de Morton Mobility Index (DEMMI) provides a valid method for measuring and monitoring the mobility of patients making the transition from hospital to the community: an observational study. J Physiother. 2011;57(2):109-116. doi:10.1016/S1836-9553(11)70021-2

17. Caronni A, Sterpi I, Antoniotti P, et al. Criterion validity of the instrumented Timed Up and Go test: a partial least square regression study. Gait Posture. 2018;61(3):287-293. doi:10.1016/j.gaitpost.2018.01.015

18. Kristensen MT, Bloch ML, Jonsson LR, Jakobsen TL. Interrater reliability of the standardized Timed Up and Go Test when used in hospitalized and community-dwelling individuals. Physiother Res Int. 2019;24(2):e1769. doi:10.1002/pri.1769

19. Yuksel E, Kalkan S, Cekmece S, et al. Assessing minimal detectable changes and test-retest reliability of the timed up and go test and 2-minute walk test in patients with total knee arthroplasty. J Arthroplasty. 2017;32(2):426-430. doi:10.1016/j.arth.2016.07.031

20. Yuksel E, Unver B, Kalkan S, Karatosun V. Reliability and minimal detectable change of the 2-minute walk test and Timed Up and Go test in patients with total hip arthroplasty. Hip Int. 2021;31(1):43-49. doi:10.1177/1120700019888614

21. Faleide AGH, Bogen BE, Magnussen LH. Intra-session test-retest reliability of the Timed “Up & Go” Test when performed by patients with hip fractures. Eur J Physiother. 2015;17(2):89-97. doi:10.3109/21679169.2015.1043579

22. Barry E, Galvin R, Keogh C, et al. Is the timed up and go test a useful predictor of risk of falls in community dwelling older adults: a systematic review and meta- analysis. BMC Geriatr. 2014;14:14. doi:10.1186/1471-2318-14-14

23. Kojima G, Masud T, Kendrick D, et al. Does the timed up and go test predict future falls among British community-dwelling older people? Prospective cohort study nested within a randomised controlled trial. BMC Geriatr. 2015;15:38. doi:10.1186/s12877-015-0039-7

24. Shumway-Cook A, Brauer S, Woollacott M. Predicting the probability for falls in community-dwelling older adults using the timed up & go test. Phys Ther. 2000;80(9):896-903.

25. Jeong SM, Shin DW, Han K, et al. Timed Up-and-Go test is a useful predictor of fracture incidence. Bone. 2019;127:474-481. doi:10.1016/j.bone.2019.07.018

26. Donaghue OA, Savva GM, Börsch-Supan A, Kenny RA. Reliability, measurement error and minimum detectable change in reliability measurement error and minimum detectable change in mobility measures: a cohort study of community dwelling adults aged 50 years and over in Ireland. BMJ Open. 2019;9(11):e030475. doi:10/1136.bmjopen-2019-030475

27. Freter SH, Fruchter N. Relationship between timed ‘up and go’ and gait time in an elderly orthopaedic rehabilitation population. Clin Rehabil. 2000;14(1):96-101. doi:10.1191/026921500675545616

28. Kear BM, Guck TP, McGaha AL. Timed up and go (TUG) test: normative reference values for ages 20 to 59 years and relationships with physical and mental health risk factors. J Prim Care Community Health. 2017;8(1):9-13. doi:10.1177/2150131916659282

29. Abellan van Kan G, Rolland Y, Andrieu S, et al. Gait speed at usual pace as a predictor of adverse outcomes in community-dwelling older people: an International Academy on Nutrition and Aging (IANA) Task Force. J Nutr Health Aging. 2009;13(10)881-889. doi:10.1007/s12603-009-0246-z

30. Unver B, Baris RH, Yusel E, et al. Reliability of 4-meter and 10-meter walk tests after lower extremity surgery. Disabil Rehabil. 2017;39(25):2572-2576. doi:10.1080/09638288.2016.1236153

31. Fritz S, Lusardi M. White paper: “walking speed: the sixth vital sign.” J Geriatr Phys Ther. 2009;32(2):46-49.

32. Studenski S, Perera S, Patel K, et al. Gait speed and survival in older adults. JAMA. 2011;305(1):50-58. doi:10.1001/jama.2010.1923

33. Bohannon R. Comfortable and maximum walking speed of adults aged 20-79 years: reference values and determinants. Age Ageing. 1997;26(1):15-19. doi:10.1093/ageing/26.1.15

34. Perera S, Mody SH, Woodman RC, Studenski SA. Meaningful change and responsiveness in common physical performance in older adults. J Am Geriatr Soc. 2006;54(5):743-749. doi:10.1111/j.1532-5415.2006.00701.x

35. Hollman J, Beckman B, Brandt R, et al. Minimum detectable change in gait velocity during acute rehabilitation following hip fracture. J Geriatr Phys Ther. 2008;31(2):53-56. doi:10.1519/00139143-200831020-00003

36. Bohannon RW, Andrews AW. Normal walking speed: a descriptive meta-analysis. Physiotherapy. 2011;97(3):182-189. doi:10.1016/j.physio.2010.12.004

37. Granger CV, Hamilton BB, Keith RA, et al. Advances in functional assessment for medical rehabilitation. Top Geriatr Rehabil. 1986;1:59-74.

38. Keith RA, Granger CV, Hamilton BB, Sherwin FS. The Functional Independence Measure: a new tool for rehabilitation. In: Eisenberg MG, Grzesiak RC, eds. Advances in Clinical Rehabilitation. Springer-Verlag; 1987:6-18.

39. Linacre JM, Heinemann AW, Wright BD, et al. The structure and stability of the Functional Independence Measure. Arch Phys Med Rehabil. 1994;75(2):127-132.

40. Coster WJ, Haley SM, Jette AM. Measuring patient-reported outcomes after discharge from inpatient rehabilitation settings. J Rehabil Med. 2006;38(4):237-242. doi:10.1080/16501970600609774

41. Street L. Frequently asked questions about FIM. Journal of the Australasian Rehabilitation Nurses Association. 2014;17(1):21-22. https://ro.uow.edu.au/ahsri/296/

42. Green JP, Gordon R, Blanchard MB, et al. Development of the Australian National Subacute and Non-acute Patient (AN-SNAP) Classification. Version 4 Final Report. Australian Health Services Research Institute, University of Wollongong, 2015. https://ro.uow.edu.au/ahsri/760

43. Australasian Rehabilitation Outcomes Centre. University of Wollongong, Australia. https://www.uow.edu.au/ahsri/aroc/

44. Green J, Gordon R, Kobel C, et al; Centre for Health Service Development. The Australian National Subacute and Non-acute Patient Classification. AN-SNAP V4 User Manual. May 2015. https://documents.uow.edu.au/content/groups/public/@web/@chsd/@aroc/documents/doc/uow194637.pdf

45. Alexander TL, Simmonds FD, Capelle JT, Green LJ. Anywhere Hospital AROC Impairment Specific Report on Reconditioning (Inpatient–Pathway 3), July 2018–June 2019. Australasian Rehabilitation Outcomes Centre, Australian Health Services Research Institute, University of Wollongong; 2019. ro.uow.edu.au/ahsri/1110

46. Evans JD. Straightforward Statistics for the Behavioural Sciences. Brooks/Cole Publishing; 1996.

47. Lee SP, Dufek J, Hickman R, Schuerman S. Influence of procedural factors on the reliability and performance of the timed up-and-go test in older adults. Int J Gerontol. 2016;10(1):37-42. doi:10.1016/j.ijge.2015

48. New PW, Scroggie GD, Williams CM. The validity, reliability, responsiveness and minimal clinically important difference of the de Morton Mobility Index in rehabilitation. Disabil Rehabil. 2017;39(10):1039-1043. doi:10.10801/09638288.2016.1179800

49. Nakaguchi T, Ishimoto Y, Akazawa N. Functional Independence Measure for patients with locomotor disorders in convalescent rehabilitation wards. Clinically significant minimum difference in exercise score gain. Physiotherapy Science. 2018;33(2):235-240.

Issue
Journal of Clinical Outcomes Management - 28(6)
Issue
Journal of Clinical Outcomes Management - 28(6)
Page Number
259-267
Page Number
259-267
Publications
Publications
Topics
Article Type
Display Headline
Association Between Physiotherapy Outcome Measures and the Functional Independence Measure: A Retrospective Analysis
Display Headline
Association Between Physiotherapy Outcome Measures and the Functional Independence Measure: A Retrospective Analysis
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article
Article PDF Media

Positive Outcomes Following a Multidisciplinary Approach in the Diagnosis and Prevention of Hospital Delirium

Article Type
Changed
Thu, 04/28/2022 - 13:06
Display Headline
Positive Outcomes Following a Multidisciplinary Approach in the Diagnosis and Prevention of Hospital Delirium

From the Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA (Drs. Ching, Darwish, Li, Wong, Simpson, and Funk), the Department of Anesthesia, Cedars-Sinai Medical Center, Los Angeles, CA (Keith Siegel), and the Department of Psychiatry, Cedars-Sinai Medical Center, Los Angeles, CA (Dr. Bamgbose).

Objectives: To reduce the incidence and duration of delirium among patients in a hospital ward through standardized delirium screening tools and nonpharmacologic interventions. To advance nursing-focused education on delirium-prevention strategies. To measure the efficacy of the interventions with the aim of reproducing best practices.

Background: Delirium is associated with poor patient outcomes but may be preventable in a significant percentage of hospitalized patients.

Methods: Following nursing-focused education to prevent delirium, we prospectively evaluated patient care outcomes in a consecutive series of patients who were admitted to a hospital medical-surgical ward within a 25-week period. All patients who had at least 1 Confusion Assessment Method (CAM) documented by a nurse during hospitalization met our inclusion criteria (N = 353). Standards for Quality Improvement Reporting Excellence guidelines were adhered to.

Results: There were 187 patients in the control group, and 166 in the postintervention group. Compared to the control group, the postintervention group had a significant decrease in the incidence of delirium during hospitalization (14.4% vs 4.2%) and a significant decrease in the mean percentage of tested nursing shifts with 1 or more positive CAM (4.9% vs 1.1%). Significant differences in secondary outcomes between the control and postintervention groups included median length of stay (6 days vs 4 days), mean length of stay (8.5 days vs 5.9 days), and use of an indwelling urinary catheter (9.1% vs 2.4%).

Conclusion: A multimodal strategy involving nursing-focused training and nonpharmacologic interventions to address hospital delirium is associated with improved patient care outcomes and nursing confidence. Nurses play an integral role in the early recognition and prevention of hospital delirium, which directly translates to reducing burdens in both patient functionality and health care costs.

Delirium is a disorder characterized by inattention and acute changes in cognition. It is defined by the American Psychiatric Association’s fifth edition of the Diagnostic and Statistical Manual of Mental Disorders as a disturbance in attention, awareness, and cognition over hours to a few days that is not better explained by a preexisting, established, or other evolving neurocognitive disorder.1 Delirium is common yet often under-recognized among hospitalized patients, particularly in the elderly. The incidence of delirium in elderly patients on admission is estimated to be 11% to 25%, and an additional 29% to 31% of elderly patients will develop delirium during the hospitalization.2 Delirium costs the health care system an estimated $38 billion to $152 billion per year.3 It is associated with negative outcomes, such as increased new placements to nursing homes, increased mortality, increased risk of dementia, and further cognitive deterioration among patients with dementia.4-6

 

 

Despite its prevalence, delirium may be preventable in a significant percentage of hospitalized patients. Targeted intervention strategies, such as frequent reorientation, maximizing sleep, early mobilization, restricting use of psychoactive medications, and addressing hearing or vision impairment, have been demonstrated to significantly reduce the incidence of hospital delirium.7,8 To achieve these goals, we explored the use of a multimodal strategy centered on nursing education. We integrated consistent, standardized delirium screening and nonpharmacologic interventions as part of a preventative protocol to reduce the incidence of delirium in the hospital ward.

Methods

We evaluated a consecutive series of patients who were admitted to a designated hospital medical-surgical ward within a 25-week period between October 2019 and April 2020. All patients during this period who had at least 1 Confusion Assessment Method (CAM) documented by a nurse during hospitalization met our inclusion criteria. Patients who did not have a CAM documented were excluded from the analysis. Delirium was defined according to the CAM diagnostic algorithm.9

Core nursing staff regularly assigned to the ward completed a multimodal training program designed to improve recognition, documentation, and prevention of hospital delirium. Prior to the training, the nurses completed a 5-point Likert scale survey assessing their level of confidence with recognizing delirium risk factors, preventing delirium, addressing delirium, utilizing the CAM tool, and educating others about delirium. Nurses completed the same survey after the study period ended.

The training curriculum for nurses began with an online module reviewing the epidemiology and risk factors for delirium. Nurses then participated in a series of in-service training sessions led by a team of physicians, during which the CAM and nonpharmacologic delirium prevention measures were reviewed then practiced first-hand. Nursing staff attended an in-person lecture reviewing the current body of literature on delirium risk factors and effective nursing interventions. After formal training was completed, nurses were instructed to document CAM screens for each patient under their care at least once every 12-hour shift for the remainder of the study. An order set, reflected in Table 1, was made available to physicians and floor nurses to assist with implementing the educational components.

tables and figures from article

Patients admitted to the hospital unit from the start of the training program (week 1) until the order set was made available (week 15) constituted our control group. The postintervention study group consisted of patients admitted for 10 weeks after the completion of the interventions (weeks 16-25). A timeline of the study events is shown in Figure 1.

tables and figures from article

 

 

Patient demographics and hospital-stay metrics determined a priori were attained via the Cedars-Sinai Enterprise Information Services core. Age, sex, medical history, and incidence of surgery with anesthesia during hospitalization were recorded. The Charlson Comorbidity Index was calculated from patients’ listed diagnoses following discharge. Primary outcomes included incidence of patients with delirium during hospitalization, percentage of tested shifts with positive CAM screens, length of hospital stay, and survival. Secondary outcomes included measures associated with delirium, including the use of chemical restraints, physical restraints, sitters, indwelling urinary catheters, and new psychiatry and neurology consults. Chemical restraints were defined as administration of a new antipsychotic medication or benzodiazepine for the specific indication of hyperactive delirium or agitation.            

Statistical analysis was conducted by a statistician, using R version 3.6.3.10P values of < .05 were considered significant. Categorical variables were analyzed using Fisher’s exact test. Continuous variables were analyzed with Welch’s t-test or, for highly skewed continuous variables, with Wilcoxon rank-sum test or Mood’s median test. All patient data were anonymized and stored securely in accordance with institutional guidelines.

Our project was deemed to represent nonhuman subject research and therefore did not require Institutional Review Board (IRB) approval upon review by our institution’s IRB committee and Office of Research Compliance and Quality Improvement. Standards for Quality Improvement Reporting Excellence (SQUIRE 2.0) guidelines were adhered to (Supplementary File can be found at mdedge.com/jcomjournal).

Results

We evaluated 353 patients who met our inclusion criteria: 187 in the control group, and 166 in the postintervention group. Ten patients were readmitted to the ward after their initial discharge; only the initial admission encounters were included in our analysis. Median age, sex, median Charlson Comorbidity Index, and incidence of surgery with anesthesia during hospitalization were comparable between the control and postintervention groups and are summarized in Table 2.

tables and figures from article

In the control group, 1572 CAMs were performed, with 74 positive CAMs recorded among 27 patients with delirium. In the postintervention group, 1298 CAMs were performed, with 12 positive CAMs recorded among 7 patients with delirium (Figure 2). Primary and secondary outcomes, as well as CAM compliance measures, are summarized in Table 3.

tables and figures from article

Compared to the control group, the postintervention group had a significant decrease in the incidence of delirium during hospitalization (14.4% vs 4.2%, P = .002) and a significant decrease in the mean percentage of tested nursing shifts with 1 or more positive CAM (4.9% vs 1.1%, P = .002). Significant differences in secondary outcomes between the control and postintervention groups included median length of stay (6 days vs 4 days, P = .004), mean length of stay (8.5 days vs 5.9 days, P = .003), and use of an indwelling urinary catheter (9.1% vs 2.4%, P = .012). There was a trend towards decreased incidence of chemical restraints and psychiatry consults, which did not reach statistical significance. Differences in mortality during hospitalization, physical restraint use, and sitter use could not be assessed due to low incidence.

tables and figures from article

 

 

Compliance with nursing CAM assessments was evaluated. Compared to the control group, the postintervention group saw a significant increase in the percentage of shifts with a CAM performed (54.7% vs 69.1%, P < .001). The median and mean number of CAMs performed per patient were similar between the control and postintervention groups.

Results of nursing surveys completed before and after the training program are listed in Table 4. After training, nurses had a greater level of confidence with recognizing delirium risk factors, preventing delirium, addressing delirium, utilizing the CAM tool, and educating others about delirium.

tables and figures from article

Discussion

Our study utilized a standardized delirium assessment tool to compare patient cohorts before and after nurse-targeted training interventions on delirium recognition and prevention. Our interventions emphasized nonpharmacologic intervention strategies, which are recommended as first-line in the management of patients with delirium.11 Patients were not excluded from the analysis based on preexisting medical conditions or recent surgery with anesthesia, to allow for conditions that are representative of community hospitals. We also did not use an inclusion criterion based on age; however, the majority of our patients were greater than 70 years old, representing those at highest risk for delirium.2 Significant outcomes among patients in the postintervention group include decreased incidence of delirium, lower average length of stay, decreased indwelling urinary catheter use, and increased compliance with delirium screening by nursing staff.

While the study’s focus was primarily on delirium prevention rather than treatment, these strategies may also have conferred the benefit of reversing delirium symptoms. In addition to measuring incidence of delirium, our primary outcome of percentage of tested shifts with 1 or more positive CAM was intended to assess the overall duration in which patients had delirium during their hospitalization. The reduction in shifts with positive CAMs observed in the postintervention group is notable, given that a significant percentage of patients with hospital delirium have the potential for symptom reversibility.12

Multiple studies have shown that admitted patients who develop delirium experience prolonged hospital stays, often up to 5 to 10 days longer.12-14 The decreased incidence and duration of delirium in our postintervention group is a reasonable explanation for the observed decrease in average length of stay. Our study is in line with previously documented initiatives that show that nonpharmacologic interventions can effectively address downstream health and fiscal sequelae of hospital delirium. For example, a volunteer-based initiative named the Hospital Elder Life Program, from which elements in our order set were modeled after, demonstrated significant reductions in delirium incidence, length of stay, and health care costs.14-16 Other initiatives that focused on educational training for nurses to assess and prevent delirium have also demonstrated similar positive results.17-19 Our study provides a model for effective nursing-focused education that can be reproduced in the hospital setting.

 

 

Unlike some other studies, which identified delirium based only on physician assessments, our initiative utilized the CAM performed by floor nurses to identify delirium. While this method may have affected the sensitivity and specificity of the CAMs, it also conferred the advantage of recognizing, documenting, and intervening on delirium in real time, given that bedside nurses are often the first to encounter delirium. Furthermore, nurses were instructed to notify a physician if a patient had a new positive CAM, as reflected in Table 1.

Our study demonstrated an increase in the overall compliance with the CAM screening during the postintervention period, which is significant given the under-recognition of delirium by health care professionals.20 We attribute this increase to greater realized importance and a higher level of confidence from nursing staff in recognizing and addressing delirium, as supported by survey data. While the increased screening of patients should be considered a positive outcome, it also poses the possibility that the observed decrease in delirium incidence in the postintervention group was in fact due to more CAMs performed on patients without delirium. Likewise, nurses may have become more adept at recognizing true delirium, as opposed to delirium mimics, in the latter period of the study.

Perhaps the greatest limitation of our study is the variability in performing and recording CAMs, as some patients had multiple CAMs recorded while others did not have any CAMs recorded. This may have been affected in part by the increase in COVID-19 cases in our hospital towards the latter half of the study, which resulted in changes in nursing assignments as well as patient comorbidities in ways that cannot be easily quantified. Given the limited size of our patient cohorts, certain outcomes, such as the use of sitters, physical restraints, and in-hospital mortality, were unable to be assessed for changes statistically. Causative relationships between our interventions and associated outcome measures are necessarily limited in a binary comparison between control and postintervention groups.

Within these limitations, our study demonstrates promising results in core dimensions of patient care. We anticipate further quality improvement initiatives involving greater numbers of nursing staff and patients to better quantify the impact of nonpharmacologic nursing-centered interventions for preventing hospital delirium.

Conclusion

A multimodal strategy involving nursing-focused training and nonpharmacologic interventions to address hospital delirium is associated with improved patient care outcomes and nursing confidence. Nurses play an integral role in the early recognition and prevention of hospital delirium, which directly translates to reducing burdens in both patient functionality and health care costs. Education and tools to equip nurses to perform standardized delirium screening and interventions should be prioritized.

Acknowledgment: The authors thanks Olena Svetlov, NP, Oscar Abarca, Jose Chavez, and Jenita Gutierrez.

Corresponding author: Jason Ching, MD, Department of Neurology, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA 90048; [email protected].

Financial disclosures: None.

Funding: This research was supported by NIH National Center for Advancing Translational Science (NCATS) UCLA CTSI Grant Number UL1TR001881.

References

1. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 5th edition. American Psychiatric Association; 2013.

2. Vasilevskis EE, Han JH, Hughes CG, et al. Epidemiology and risk factors for delirium across hospital settings. Best Pract Res Clin Anaesthesiol. 2012;26(3):277-287. doi:10.1016/j.bpa.2012.07003

3. Leslie DL, Marcantonio ER, Zhang Y, et al. One-year health care costs associated with delirium in the elderly population. Arch Intern Med. 2008;168(1):27-32. doi:10.1001/archinternmed.2007.4

4. McCusker J, Cole M, Abrahamowicz M, et al. Delirium predicts 12-month mortality. Arch Intern Med. 2002;162(4):457-463. doi:10.1001/archinte.162.4.457

5. Witlox J, Eurelings LS, de Jonghe JF, et al. Delirium in elderly patients and the risk of postdischarge mortality, institutionalization, and dementia: a meta-analysis. JAMA. 2010;304(4):443-451. doi:10.1001/jama.2010.1013

6. Gross AL, Jones RN, Habtemariam DA, et al. Delirium and long-term cognitive trajectory among persons with dementia. Arch Intern Med. 2012;172(17):1324-1331. doi:10.1001/archinternmed.2012.3203

7. Inouye SK. Prevention of delirium in hospitalized older patients: risk factors and targeted intervention strategies. Ann Med. 2000;32(4):257-263. doi:10.3109/07853890009011770

8. Siddiqi N, Harrison JK, Clegg A, et al. Interventions for preventing delirium in hospitalised non-ICU patients. Cochrane Database Syst Rev. 2016;3:CD005563. doi:10.1002/14651858.CD005563.pub3

9. Inouye SK, van Dyck CH, Alessi CA, et al. Clarifying confusion: the confusion assessment method. A new method for detection of delirium. Ann Intern Med. 1990;113(12):941-948. doi:10.7326/0003-4819-113-12-941

10. R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing; 2017.

11. Fong TG, Tulebaev SR, Inouye SK. Delirium in elderly adults: diagnosis, prevention and treatment. Nat Rev Neurol. 2009;5(4):210-220. doi:10.1038/nrneurol.2009.24

12. Siddiqi N, House AO, Holmes JD. Occurrence and outcome of delirium in medical in-patients: a systematic literature review. Age Ageing. 2006;35(4):350-364. doi:10.1093/ageing/afl005

13. Ely EW, Shintani A, Truman B, et al. Delirium as a predictor of mortality in mechanically ventilated patients in the intensive care unit. JAMA. 2004;291(14):1753-1762. doi:10.1001/jama.291.14.1753

14. Chen CC, Lin MT, Tien YW, et al. Modified Hospital Elder Life Program: effects on abdominal surgery patients. J Am Coll Surg. 2011;213(2):245-252. doi:10.1016/j.jamcollsurg.2011.05.004

15. Zaubler TS, Murphy K, Rizzuto L, et al. Quality improvement and cost savings with multicomponent delirium interventions: replication of the Hospital Elder Life Program in a community hospital. Psychosomatics. 2013;54(3):219-226. doi:10.1016/j.psym.2013.01.010

16. Rubin FH, Neal K, Fenlon K, et al. Sustainability and scalability of the Hospital Elder Life Program at a community hospital. J Am Geriatr Soc. 2011;59(2):359-365. doi:10.1111/j.1532-5415.2010.03243.x

17. Milisen K, Foreman MD, Abraham IL, et al. A nurse-led interdisciplinary intervention program for delirium in elderly hip-fracture patients. J Am Geriatr Soc. 2001;49(5):523-532. doi:10.1046/j.1532-5415.2001.49109.x

18. Lundström M, Edlund A, Karlsson S, et al. A multifactorial intervention program reduces the duration of delirium, length of hospitalization, and mortality in delirious patients. J Am Geriatr Soc. 2005;53(4):622-628. doi:10.1111/j.1532-5415.2005.53210.x

19. Tabet N, Hudson S, Sweeney V, et al. An educational intervention can prevent delirium on acute medical wards. Age Ageing. 2005;34(2):152-156. doi:10.1093/ageing/afi0320. Han JH, Zimmerman EE, Cutler N, et al. Delirium in older emergency department patients: recognition, risk factors, and psychomotor subtypes.  Acad Emerg Med.  2009;16(3):193-200. doi:10.1111/j.1553-2712.2008.00339.x

Article PDF
Issue
Journal of Clinical Outcomes Management - 28(6)
Publications
Topics
Page Number
272-279
Sections
Article PDF
Article PDF

From the Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA (Drs. Ching, Darwish, Li, Wong, Simpson, and Funk), the Department of Anesthesia, Cedars-Sinai Medical Center, Los Angeles, CA (Keith Siegel), and the Department of Psychiatry, Cedars-Sinai Medical Center, Los Angeles, CA (Dr. Bamgbose).

Objectives: To reduce the incidence and duration of delirium among patients in a hospital ward through standardized delirium screening tools and nonpharmacologic interventions. To advance nursing-focused education on delirium-prevention strategies. To measure the efficacy of the interventions with the aim of reproducing best practices.

Background: Delirium is associated with poor patient outcomes but may be preventable in a significant percentage of hospitalized patients.

Methods: Following nursing-focused education to prevent delirium, we prospectively evaluated patient care outcomes in a consecutive series of patients who were admitted to a hospital medical-surgical ward within a 25-week period. All patients who had at least 1 Confusion Assessment Method (CAM) documented by a nurse during hospitalization met our inclusion criteria (N = 353). Standards for Quality Improvement Reporting Excellence guidelines were adhered to.

Results: There were 187 patients in the control group, and 166 in the postintervention group. Compared to the control group, the postintervention group had a significant decrease in the incidence of delirium during hospitalization (14.4% vs 4.2%) and a significant decrease in the mean percentage of tested nursing shifts with 1 or more positive CAM (4.9% vs 1.1%). Significant differences in secondary outcomes between the control and postintervention groups included median length of stay (6 days vs 4 days), mean length of stay (8.5 days vs 5.9 days), and use of an indwelling urinary catheter (9.1% vs 2.4%).

Conclusion: A multimodal strategy involving nursing-focused training and nonpharmacologic interventions to address hospital delirium is associated with improved patient care outcomes and nursing confidence. Nurses play an integral role in the early recognition and prevention of hospital delirium, which directly translates to reducing burdens in both patient functionality and health care costs.

Delirium is a disorder characterized by inattention and acute changes in cognition. It is defined by the American Psychiatric Association’s fifth edition of the Diagnostic and Statistical Manual of Mental Disorders as a disturbance in attention, awareness, and cognition over hours to a few days that is not better explained by a preexisting, established, or other evolving neurocognitive disorder.1 Delirium is common yet often under-recognized among hospitalized patients, particularly in the elderly. The incidence of delirium in elderly patients on admission is estimated to be 11% to 25%, and an additional 29% to 31% of elderly patients will develop delirium during the hospitalization.2 Delirium costs the health care system an estimated $38 billion to $152 billion per year.3 It is associated with negative outcomes, such as increased new placements to nursing homes, increased mortality, increased risk of dementia, and further cognitive deterioration among patients with dementia.4-6

 

 

Despite its prevalence, delirium may be preventable in a significant percentage of hospitalized patients. Targeted intervention strategies, such as frequent reorientation, maximizing sleep, early mobilization, restricting use of psychoactive medications, and addressing hearing or vision impairment, have been demonstrated to significantly reduce the incidence of hospital delirium.7,8 To achieve these goals, we explored the use of a multimodal strategy centered on nursing education. We integrated consistent, standardized delirium screening and nonpharmacologic interventions as part of a preventative protocol to reduce the incidence of delirium in the hospital ward.

Methods

We evaluated a consecutive series of patients who were admitted to a designated hospital medical-surgical ward within a 25-week period between October 2019 and April 2020. All patients during this period who had at least 1 Confusion Assessment Method (CAM) documented by a nurse during hospitalization met our inclusion criteria. Patients who did not have a CAM documented were excluded from the analysis. Delirium was defined according to the CAM diagnostic algorithm.9

Core nursing staff regularly assigned to the ward completed a multimodal training program designed to improve recognition, documentation, and prevention of hospital delirium. Prior to the training, the nurses completed a 5-point Likert scale survey assessing their level of confidence with recognizing delirium risk factors, preventing delirium, addressing delirium, utilizing the CAM tool, and educating others about delirium. Nurses completed the same survey after the study period ended.

The training curriculum for nurses began with an online module reviewing the epidemiology and risk factors for delirium. Nurses then participated in a series of in-service training sessions led by a team of physicians, during which the CAM and nonpharmacologic delirium prevention measures were reviewed then practiced first-hand. Nursing staff attended an in-person lecture reviewing the current body of literature on delirium risk factors and effective nursing interventions. After formal training was completed, nurses were instructed to document CAM screens for each patient under their care at least once every 12-hour shift for the remainder of the study. An order set, reflected in Table 1, was made available to physicians and floor nurses to assist with implementing the educational components.

tables and figures from article

Patients admitted to the hospital unit from the start of the training program (week 1) until the order set was made available (week 15) constituted our control group. The postintervention study group consisted of patients admitted for 10 weeks after the completion of the interventions (weeks 16-25). A timeline of the study events is shown in Figure 1.

tables and figures from article

 

 

Patient demographics and hospital-stay metrics determined a priori were attained via the Cedars-Sinai Enterprise Information Services core. Age, sex, medical history, and incidence of surgery with anesthesia during hospitalization were recorded. The Charlson Comorbidity Index was calculated from patients’ listed diagnoses following discharge. Primary outcomes included incidence of patients with delirium during hospitalization, percentage of tested shifts with positive CAM screens, length of hospital stay, and survival. Secondary outcomes included measures associated with delirium, including the use of chemical restraints, physical restraints, sitters, indwelling urinary catheters, and new psychiatry and neurology consults. Chemical restraints were defined as administration of a new antipsychotic medication or benzodiazepine for the specific indication of hyperactive delirium or agitation.            

Statistical analysis was conducted by a statistician, using R version 3.6.3.10P values of < .05 were considered significant. Categorical variables were analyzed using Fisher’s exact test. Continuous variables were analyzed with Welch’s t-test or, for highly skewed continuous variables, with Wilcoxon rank-sum test or Mood’s median test. All patient data were anonymized and stored securely in accordance with institutional guidelines.

Our project was deemed to represent nonhuman subject research and therefore did not require Institutional Review Board (IRB) approval upon review by our institution’s IRB committee and Office of Research Compliance and Quality Improvement. Standards for Quality Improvement Reporting Excellence (SQUIRE 2.0) guidelines were adhered to (Supplementary File can be found at mdedge.com/jcomjournal).

Results

We evaluated 353 patients who met our inclusion criteria: 187 in the control group, and 166 in the postintervention group. Ten patients were readmitted to the ward after their initial discharge; only the initial admission encounters were included in our analysis. Median age, sex, median Charlson Comorbidity Index, and incidence of surgery with anesthesia during hospitalization were comparable between the control and postintervention groups and are summarized in Table 2.

tables and figures from article

In the control group, 1572 CAMs were performed, with 74 positive CAMs recorded among 27 patients with delirium. In the postintervention group, 1298 CAMs were performed, with 12 positive CAMs recorded among 7 patients with delirium (Figure 2). Primary and secondary outcomes, as well as CAM compliance measures, are summarized in Table 3.

tables and figures from article

Compared to the control group, the postintervention group had a significant decrease in the incidence of delirium during hospitalization (14.4% vs 4.2%, P = .002) and a significant decrease in the mean percentage of tested nursing shifts with 1 or more positive CAM (4.9% vs 1.1%, P = .002). Significant differences in secondary outcomes between the control and postintervention groups included median length of stay (6 days vs 4 days, P = .004), mean length of stay (8.5 days vs 5.9 days, P = .003), and use of an indwelling urinary catheter (9.1% vs 2.4%, P = .012). There was a trend towards decreased incidence of chemical restraints and psychiatry consults, which did not reach statistical significance. Differences in mortality during hospitalization, physical restraint use, and sitter use could not be assessed due to low incidence.

tables and figures from article

 

 

Compliance with nursing CAM assessments was evaluated. Compared to the control group, the postintervention group saw a significant increase in the percentage of shifts with a CAM performed (54.7% vs 69.1%, P < .001). The median and mean number of CAMs performed per patient were similar between the control and postintervention groups.

Results of nursing surveys completed before and after the training program are listed in Table 4. After training, nurses had a greater level of confidence with recognizing delirium risk factors, preventing delirium, addressing delirium, utilizing the CAM tool, and educating others about delirium.

tables and figures from article

Discussion

Our study utilized a standardized delirium assessment tool to compare patient cohorts before and after nurse-targeted training interventions on delirium recognition and prevention. Our interventions emphasized nonpharmacologic intervention strategies, which are recommended as first-line in the management of patients with delirium.11 Patients were not excluded from the analysis based on preexisting medical conditions or recent surgery with anesthesia, to allow for conditions that are representative of community hospitals. We also did not use an inclusion criterion based on age; however, the majority of our patients were greater than 70 years old, representing those at highest risk for delirium.2 Significant outcomes among patients in the postintervention group include decreased incidence of delirium, lower average length of stay, decreased indwelling urinary catheter use, and increased compliance with delirium screening by nursing staff.

While the study’s focus was primarily on delirium prevention rather than treatment, these strategies may also have conferred the benefit of reversing delirium symptoms. In addition to measuring incidence of delirium, our primary outcome of percentage of tested shifts with 1 or more positive CAM was intended to assess the overall duration in which patients had delirium during their hospitalization. The reduction in shifts with positive CAMs observed in the postintervention group is notable, given that a significant percentage of patients with hospital delirium have the potential for symptom reversibility.12

Multiple studies have shown that admitted patients who develop delirium experience prolonged hospital stays, often up to 5 to 10 days longer.12-14 The decreased incidence and duration of delirium in our postintervention group is a reasonable explanation for the observed decrease in average length of stay. Our study is in line with previously documented initiatives that show that nonpharmacologic interventions can effectively address downstream health and fiscal sequelae of hospital delirium. For example, a volunteer-based initiative named the Hospital Elder Life Program, from which elements in our order set were modeled after, demonstrated significant reductions in delirium incidence, length of stay, and health care costs.14-16 Other initiatives that focused on educational training for nurses to assess and prevent delirium have also demonstrated similar positive results.17-19 Our study provides a model for effective nursing-focused education that can be reproduced in the hospital setting.

 

 

Unlike some other studies, which identified delirium based only on physician assessments, our initiative utilized the CAM performed by floor nurses to identify delirium. While this method may have affected the sensitivity and specificity of the CAMs, it also conferred the advantage of recognizing, documenting, and intervening on delirium in real time, given that bedside nurses are often the first to encounter delirium. Furthermore, nurses were instructed to notify a physician if a patient had a new positive CAM, as reflected in Table 1.

Our study demonstrated an increase in the overall compliance with the CAM screening during the postintervention period, which is significant given the under-recognition of delirium by health care professionals.20 We attribute this increase to greater realized importance and a higher level of confidence from nursing staff in recognizing and addressing delirium, as supported by survey data. While the increased screening of patients should be considered a positive outcome, it also poses the possibility that the observed decrease in delirium incidence in the postintervention group was in fact due to more CAMs performed on patients without delirium. Likewise, nurses may have become more adept at recognizing true delirium, as opposed to delirium mimics, in the latter period of the study.

Perhaps the greatest limitation of our study is the variability in performing and recording CAMs, as some patients had multiple CAMs recorded while others did not have any CAMs recorded. This may have been affected in part by the increase in COVID-19 cases in our hospital towards the latter half of the study, which resulted in changes in nursing assignments as well as patient comorbidities in ways that cannot be easily quantified. Given the limited size of our patient cohorts, certain outcomes, such as the use of sitters, physical restraints, and in-hospital mortality, were unable to be assessed for changes statistically. Causative relationships between our interventions and associated outcome measures are necessarily limited in a binary comparison between control and postintervention groups.

Within these limitations, our study demonstrates promising results in core dimensions of patient care. We anticipate further quality improvement initiatives involving greater numbers of nursing staff and patients to better quantify the impact of nonpharmacologic nursing-centered interventions for preventing hospital delirium.

Conclusion

A multimodal strategy involving nursing-focused training and nonpharmacologic interventions to address hospital delirium is associated with improved patient care outcomes and nursing confidence. Nurses play an integral role in the early recognition and prevention of hospital delirium, which directly translates to reducing burdens in both patient functionality and health care costs. Education and tools to equip nurses to perform standardized delirium screening and interventions should be prioritized.

Acknowledgment: The authors thanks Olena Svetlov, NP, Oscar Abarca, Jose Chavez, and Jenita Gutierrez.

Corresponding author: Jason Ching, MD, Department of Neurology, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA 90048; [email protected].

Financial disclosures: None.

Funding: This research was supported by NIH National Center for Advancing Translational Science (NCATS) UCLA CTSI Grant Number UL1TR001881.

From the Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA (Drs. Ching, Darwish, Li, Wong, Simpson, and Funk), the Department of Anesthesia, Cedars-Sinai Medical Center, Los Angeles, CA (Keith Siegel), and the Department of Psychiatry, Cedars-Sinai Medical Center, Los Angeles, CA (Dr. Bamgbose).

Objectives: To reduce the incidence and duration of delirium among patients in a hospital ward through standardized delirium screening tools and nonpharmacologic interventions. To advance nursing-focused education on delirium-prevention strategies. To measure the efficacy of the interventions with the aim of reproducing best practices.

Background: Delirium is associated with poor patient outcomes but may be preventable in a significant percentage of hospitalized patients.

Methods: Following nursing-focused education to prevent delirium, we prospectively evaluated patient care outcomes in a consecutive series of patients who were admitted to a hospital medical-surgical ward within a 25-week period. All patients who had at least 1 Confusion Assessment Method (CAM) documented by a nurse during hospitalization met our inclusion criteria (N = 353). Standards for Quality Improvement Reporting Excellence guidelines were adhered to.

Results: There were 187 patients in the control group, and 166 in the postintervention group. Compared to the control group, the postintervention group had a significant decrease in the incidence of delirium during hospitalization (14.4% vs 4.2%) and a significant decrease in the mean percentage of tested nursing shifts with 1 or more positive CAM (4.9% vs 1.1%). Significant differences in secondary outcomes between the control and postintervention groups included median length of stay (6 days vs 4 days), mean length of stay (8.5 days vs 5.9 days), and use of an indwelling urinary catheter (9.1% vs 2.4%).

Conclusion: A multimodal strategy involving nursing-focused training and nonpharmacologic interventions to address hospital delirium is associated with improved patient care outcomes and nursing confidence. Nurses play an integral role in the early recognition and prevention of hospital delirium, which directly translates to reducing burdens in both patient functionality and health care costs.

Delirium is a disorder characterized by inattention and acute changes in cognition. It is defined by the American Psychiatric Association’s fifth edition of the Diagnostic and Statistical Manual of Mental Disorders as a disturbance in attention, awareness, and cognition over hours to a few days that is not better explained by a preexisting, established, or other evolving neurocognitive disorder.1 Delirium is common yet often under-recognized among hospitalized patients, particularly in the elderly. The incidence of delirium in elderly patients on admission is estimated to be 11% to 25%, and an additional 29% to 31% of elderly patients will develop delirium during the hospitalization.2 Delirium costs the health care system an estimated $38 billion to $152 billion per year.3 It is associated with negative outcomes, such as increased new placements to nursing homes, increased mortality, increased risk of dementia, and further cognitive deterioration among patients with dementia.4-6

 

 

Despite its prevalence, delirium may be preventable in a significant percentage of hospitalized patients. Targeted intervention strategies, such as frequent reorientation, maximizing sleep, early mobilization, restricting use of psychoactive medications, and addressing hearing or vision impairment, have been demonstrated to significantly reduce the incidence of hospital delirium.7,8 To achieve these goals, we explored the use of a multimodal strategy centered on nursing education. We integrated consistent, standardized delirium screening and nonpharmacologic interventions as part of a preventative protocol to reduce the incidence of delirium in the hospital ward.

Methods

We evaluated a consecutive series of patients who were admitted to a designated hospital medical-surgical ward within a 25-week period between October 2019 and April 2020. All patients during this period who had at least 1 Confusion Assessment Method (CAM) documented by a nurse during hospitalization met our inclusion criteria. Patients who did not have a CAM documented were excluded from the analysis. Delirium was defined according to the CAM diagnostic algorithm.9

Core nursing staff regularly assigned to the ward completed a multimodal training program designed to improve recognition, documentation, and prevention of hospital delirium. Prior to the training, the nurses completed a 5-point Likert scale survey assessing their level of confidence with recognizing delirium risk factors, preventing delirium, addressing delirium, utilizing the CAM tool, and educating others about delirium. Nurses completed the same survey after the study period ended.

The training curriculum for nurses began with an online module reviewing the epidemiology and risk factors for delirium. Nurses then participated in a series of in-service training sessions led by a team of physicians, during which the CAM and nonpharmacologic delirium prevention measures were reviewed then practiced first-hand. Nursing staff attended an in-person lecture reviewing the current body of literature on delirium risk factors and effective nursing interventions. After formal training was completed, nurses were instructed to document CAM screens for each patient under their care at least once every 12-hour shift for the remainder of the study. An order set, reflected in Table 1, was made available to physicians and floor nurses to assist with implementing the educational components.

tables and figures from article

Patients admitted to the hospital unit from the start of the training program (week 1) until the order set was made available (week 15) constituted our control group. The postintervention study group consisted of patients admitted for 10 weeks after the completion of the interventions (weeks 16-25). A timeline of the study events is shown in Figure 1.

tables and figures from article

 

 

Patient demographics and hospital-stay metrics determined a priori were attained via the Cedars-Sinai Enterprise Information Services core. Age, sex, medical history, and incidence of surgery with anesthesia during hospitalization were recorded. The Charlson Comorbidity Index was calculated from patients’ listed diagnoses following discharge. Primary outcomes included incidence of patients with delirium during hospitalization, percentage of tested shifts with positive CAM screens, length of hospital stay, and survival. Secondary outcomes included measures associated with delirium, including the use of chemical restraints, physical restraints, sitters, indwelling urinary catheters, and new psychiatry and neurology consults. Chemical restraints were defined as administration of a new antipsychotic medication or benzodiazepine for the specific indication of hyperactive delirium or agitation.            

Statistical analysis was conducted by a statistician, using R version 3.6.3.10P values of < .05 were considered significant. Categorical variables were analyzed using Fisher’s exact test. Continuous variables were analyzed with Welch’s t-test or, for highly skewed continuous variables, with Wilcoxon rank-sum test or Mood’s median test. All patient data were anonymized and stored securely in accordance with institutional guidelines.

Our project was deemed to represent nonhuman subject research and therefore did not require Institutional Review Board (IRB) approval upon review by our institution’s IRB committee and Office of Research Compliance and Quality Improvement. Standards for Quality Improvement Reporting Excellence (SQUIRE 2.0) guidelines were adhered to (Supplementary File can be found at mdedge.com/jcomjournal).

Results

We evaluated 353 patients who met our inclusion criteria: 187 in the control group, and 166 in the postintervention group. Ten patients were readmitted to the ward after their initial discharge; only the initial admission encounters were included in our analysis. Median age, sex, median Charlson Comorbidity Index, and incidence of surgery with anesthesia during hospitalization were comparable between the control and postintervention groups and are summarized in Table 2.

tables and figures from article

In the control group, 1572 CAMs were performed, with 74 positive CAMs recorded among 27 patients with delirium. In the postintervention group, 1298 CAMs were performed, with 12 positive CAMs recorded among 7 patients with delirium (Figure 2). Primary and secondary outcomes, as well as CAM compliance measures, are summarized in Table 3.

tables and figures from article

Compared to the control group, the postintervention group had a significant decrease in the incidence of delirium during hospitalization (14.4% vs 4.2%, P = .002) and a significant decrease in the mean percentage of tested nursing shifts with 1 or more positive CAM (4.9% vs 1.1%, P = .002). Significant differences in secondary outcomes between the control and postintervention groups included median length of stay (6 days vs 4 days, P = .004), mean length of stay (8.5 days vs 5.9 days, P = .003), and use of an indwelling urinary catheter (9.1% vs 2.4%, P = .012). There was a trend towards decreased incidence of chemical restraints and psychiatry consults, which did not reach statistical significance. Differences in mortality during hospitalization, physical restraint use, and sitter use could not be assessed due to low incidence.

tables and figures from article

 

 

Compliance with nursing CAM assessments was evaluated. Compared to the control group, the postintervention group saw a significant increase in the percentage of shifts with a CAM performed (54.7% vs 69.1%, P < .001). The median and mean number of CAMs performed per patient were similar between the control and postintervention groups.

Results of nursing surveys completed before and after the training program are listed in Table 4. After training, nurses had a greater level of confidence with recognizing delirium risk factors, preventing delirium, addressing delirium, utilizing the CAM tool, and educating others about delirium.

tables and figures from article

Discussion

Our study utilized a standardized delirium assessment tool to compare patient cohorts before and after nurse-targeted training interventions on delirium recognition and prevention. Our interventions emphasized nonpharmacologic intervention strategies, which are recommended as first-line in the management of patients with delirium.11 Patients were not excluded from the analysis based on preexisting medical conditions or recent surgery with anesthesia, to allow for conditions that are representative of community hospitals. We also did not use an inclusion criterion based on age; however, the majority of our patients were greater than 70 years old, representing those at highest risk for delirium.2 Significant outcomes among patients in the postintervention group include decreased incidence of delirium, lower average length of stay, decreased indwelling urinary catheter use, and increased compliance with delirium screening by nursing staff.

While the study’s focus was primarily on delirium prevention rather than treatment, these strategies may also have conferred the benefit of reversing delirium symptoms. In addition to measuring incidence of delirium, our primary outcome of percentage of tested shifts with 1 or more positive CAM was intended to assess the overall duration in which patients had delirium during their hospitalization. The reduction in shifts with positive CAMs observed in the postintervention group is notable, given that a significant percentage of patients with hospital delirium have the potential for symptom reversibility.12

Multiple studies have shown that admitted patients who develop delirium experience prolonged hospital stays, often up to 5 to 10 days longer.12-14 The decreased incidence and duration of delirium in our postintervention group is a reasonable explanation for the observed decrease in average length of stay. Our study is in line with previously documented initiatives that show that nonpharmacologic interventions can effectively address downstream health and fiscal sequelae of hospital delirium. For example, a volunteer-based initiative named the Hospital Elder Life Program, from which elements in our order set were modeled after, demonstrated significant reductions in delirium incidence, length of stay, and health care costs.14-16 Other initiatives that focused on educational training for nurses to assess and prevent delirium have also demonstrated similar positive results.17-19 Our study provides a model for effective nursing-focused education that can be reproduced in the hospital setting.

 

 

Unlike some other studies, which identified delirium based only on physician assessments, our initiative utilized the CAM performed by floor nurses to identify delirium. While this method may have affected the sensitivity and specificity of the CAMs, it also conferred the advantage of recognizing, documenting, and intervening on delirium in real time, given that bedside nurses are often the first to encounter delirium. Furthermore, nurses were instructed to notify a physician if a patient had a new positive CAM, as reflected in Table 1.

Our study demonstrated an increase in the overall compliance with the CAM screening during the postintervention period, which is significant given the under-recognition of delirium by health care professionals.20 We attribute this increase to greater realized importance and a higher level of confidence from nursing staff in recognizing and addressing delirium, as supported by survey data. While the increased screening of patients should be considered a positive outcome, it also poses the possibility that the observed decrease in delirium incidence in the postintervention group was in fact due to more CAMs performed on patients without delirium. Likewise, nurses may have become more adept at recognizing true delirium, as opposed to delirium mimics, in the latter period of the study.

Perhaps the greatest limitation of our study is the variability in performing and recording CAMs, as some patients had multiple CAMs recorded while others did not have any CAMs recorded. This may have been affected in part by the increase in COVID-19 cases in our hospital towards the latter half of the study, which resulted in changes in nursing assignments as well as patient comorbidities in ways that cannot be easily quantified. Given the limited size of our patient cohorts, certain outcomes, such as the use of sitters, physical restraints, and in-hospital mortality, were unable to be assessed for changes statistically. Causative relationships between our interventions and associated outcome measures are necessarily limited in a binary comparison between control and postintervention groups.

Within these limitations, our study demonstrates promising results in core dimensions of patient care. We anticipate further quality improvement initiatives involving greater numbers of nursing staff and patients to better quantify the impact of nonpharmacologic nursing-centered interventions for preventing hospital delirium.

Conclusion

A multimodal strategy involving nursing-focused training and nonpharmacologic interventions to address hospital delirium is associated with improved patient care outcomes and nursing confidence. Nurses play an integral role in the early recognition and prevention of hospital delirium, which directly translates to reducing burdens in both patient functionality and health care costs. Education and tools to equip nurses to perform standardized delirium screening and interventions should be prioritized.

Acknowledgment: The authors thanks Olena Svetlov, NP, Oscar Abarca, Jose Chavez, and Jenita Gutierrez.

Corresponding author: Jason Ching, MD, Department of Neurology, Cedars-Sinai Medical Center, 8700 Beverly Blvd, Los Angeles, CA 90048; [email protected].

Financial disclosures: None.

Funding: This research was supported by NIH National Center for Advancing Translational Science (NCATS) UCLA CTSI Grant Number UL1TR001881.

References

1. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 5th edition. American Psychiatric Association; 2013.

2. Vasilevskis EE, Han JH, Hughes CG, et al. Epidemiology and risk factors for delirium across hospital settings. Best Pract Res Clin Anaesthesiol. 2012;26(3):277-287. doi:10.1016/j.bpa.2012.07003

3. Leslie DL, Marcantonio ER, Zhang Y, et al. One-year health care costs associated with delirium in the elderly population. Arch Intern Med. 2008;168(1):27-32. doi:10.1001/archinternmed.2007.4

4. McCusker J, Cole M, Abrahamowicz M, et al. Delirium predicts 12-month mortality. Arch Intern Med. 2002;162(4):457-463. doi:10.1001/archinte.162.4.457

5. Witlox J, Eurelings LS, de Jonghe JF, et al. Delirium in elderly patients and the risk of postdischarge mortality, institutionalization, and dementia: a meta-analysis. JAMA. 2010;304(4):443-451. doi:10.1001/jama.2010.1013

6. Gross AL, Jones RN, Habtemariam DA, et al. Delirium and long-term cognitive trajectory among persons with dementia. Arch Intern Med. 2012;172(17):1324-1331. doi:10.1001/archinternmed.2012.3203

7. Inouye SK. Prevention of delirium in hospitalized older patients: risk factors and targeted intervention strategies. Ann Med. 2000;32(4):257-263. doi:10.3109/07853890009011770

8. Siddiqi N, Harrison JK, Clegg A, et al. Interventions for preventing delirium in hospitalised non-ICU patients. Cochrane Database Syst Rev. 2016;3:CD005563. doi:10.1002/14651858.CD005563.pub3

9. Inouye SK, van Dyck CH, Alessi CA, et al. Clarifying confusion: the confusion assessment method. A new method for detection of delirium. Ann Intern Med. 1990;113(12):941-948. doi:10.7326/0003-4819-113-12-941

10. R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing; 2017.

11. Fong TG, Tulebaev SR, Inouye SK. Delirium in elderly adults: diagnosis, prevention and treatment. Nat Rev Neurol. 2009;5(4):210-220. doi:10.1038/nrneurol.2009.24

12. Siddiqi N, House AO, Holmes JD. Occurrence and outcome of delirium in medical in-patients: a systematic literature review. Age Ageing. 2006;35(4):350-364. doi:10.1093/ageing/afl005

13. Ely EW, Shintani A, Truman B, et al. Delirium as a predictor of mortality in mechanically ventilated patients in the intensive care unit. JAMA. 2004;291(14):1753-1762. doi:10.1001/jama.291.14.1753

14. Chen CC, Lin MT, Tien YW, et al. Modified Hospital Elder Life Program: effects on abdominal surgery patients. J Am Coll Surg. 2011;213(2):245-252. doi:10.1016/j.jamcollsurg.2011.05.004

15. Zaubler TS, Murphy K, Rizzuto L, et al. Quality improvement and cost savings with multicomponent delirium interventions: replication of the Hospital Elder Life Program in a community hospital. Psychosomatics. 2013;54(3):219-226. doi:10.1016/j.psym.2013.01.010

16. Rubin FH, Neal K, Fenlon K, et al. Sustainability and scalability of the Hospital Elder Life Program at a community hospital. J Am Geriatr Soc. 2011;59(2):359-365. doi:10.1111/j.1532-5415.2010.03243.x

17. Milisen K, Foreman MD, Abraham IL, et al. A nurse-led interdisciplinary intervention program for delirium in elderly hip-fracture patients. J Am Geriatr Soc. 2001;49(5):523-532. doi:10.1046/j.1532-5415.2001.49109.x

18. Lundström M, Edlund A, Karlsson S, et al. A multifactorial intervention program reduces the duration of delirium, length of hospitalization, and mortality in delirious patients. J Am Geriatr Soc. 2005;53(4):622-628. doi:10.1111/j.1532-5415.2005.53210.x

19. Tabet N, Hudson S, Sweeney V, et al. An educational intervention can prevent delirium on acute medical wards. Age Ageing. 2005;34(2):152-156. doi:10.1093/ageing/afi0320. Han JH, Zimmerman EE, Cutler N, et al. Delirium in older emergency department patients: recognition, risk factors, and psychomotor subtypes.  Acad Emerg Med.  2009;16(3):193-200. doi:10.1111/j.1553-2712.2008.00339.x

References

1. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 5th edition. American Psychiatric Association; 2013.

2. Vasilevskis EE, Han JH, Hughes CG, et al. Epidemiology and risk factors for delirium across hospital settings. Best Pract Res Clin Anaesthesiol. 2012;26(3):277-287. doi:10.1016/j.bpa.2012.07003

3. Leslie DL, Marcantonio ER, Zhang Y, et al. One-year health care costs associated with delirium in the elderly population. Arch Intern Med. 2008;168(1):27-32. doi:10.1001/archinternmed.2007.4

4. McCusker J, Cole M, Abrahamowicz M, et al. Delirium predicts 12-month mortality. Arch Intern Med. 2002;162(4):457-463. doi:10.1001/archinte.162.4.457

5. Witlox J, Eurelings LS, de Jonghe JF, et al. Delirium in elderly patients and the risk of postdischarge mortality, institutionalization, and dementia: a meta-analysis. JAMA. 2010;304(4):443-451. doi:10.1001/jama.2010.1013

6. Gross AL, Jones RN, Habtemariam DA, et al. Delirium and long-term cognitive trajectory among persons with dementia. Arch Intern Med. 2012;172(17):1324-1331. doi:10.1001/archinternmed.2012.3203

7. Inouye SK. Prevention of delirium in hospitalized older patients: risk factors and targeted intervention strategies. Ann Med. 2000;32(4):257-263. doi:10.3109/07853890009011770

8. Siddiqi N, Harrison JK, Clegg A, et al. Interventions for preventing delirium in hospitalised non-ICU patients. Cochrane Database Syst Rev. 2016;3:CD005563. doi:10.1002/14651858.CD005563.pub3

9. Inouye SK, van Dyck CH, Alessi CA, et al. Clarifying confusion: the confusion assessment method. A new method for detection of delirium. Ann Intern Med. 1990;113(12):941-948. doi:10.7326/0003-4819-113-12-941

10. R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing; 2017.

11. Fong TG, Tulebaev SR, Inouye SK. Delirium in elderly adults: diagnosis, prevention and treatment. Nat Rev Neurol. 2009;5(4):210-220. doi:10.1038/nrneurol.2009.24

12. Siddiqi N, House AO, Holmes JD. Occurrence and outcome of delirium in medical in-patients: a systematic literature review. Age Ageing. 2006;35(4):350-364. doi:10.1093/ageing/afl005

13. Ely EW, Shintani A, Truman B, et al. Delirium as a predictor of mortality in mechanically ventilated patients in the intensive care unit. JAMA. 2004;291(14):1753-1762. doi:10.1001/jama.291.14.1753

14. Chen CC, Lin MT, Tien YW, et al. Modified Hospital Elder Life Program: effects on abdominal surgery patients. J Am Coll Surg. 2011;213(2):245-252. doi:10.1016/j.jamcollsurg.2011.05.004

15. Zaubler TS, Murphy K, Rizzuto L, et al. Quality improvement and cost savings with multicomponent delirium interventions: replication of the Hospital Elder Life Program in a community hospital. Psychosomatics. 2013;54(3):219-226. doi:10.1016/j.psym.2013.01.010

16. Rubin FH, Neal K, Fenlon K, et al. Sustainability and scalability of the Hospital Elder Life Program at a community hospital. J Am Geriatr Soc. 2011;59(2):359-365. doi:10.1111/j.1532-5415.2010.03243.x

17. Milisen K, Foreman MD, Abraham IL, et al. A nurse-led interdisciplinary intervention program for delirium in elderly hip-fracture patients. J Am Geriatr Soc. 2001;49(5):523-532. doi:10.1046/j.1532-5415.2001.49109.x

18. Lundström M, Edlund A, Karlsson S, et al. A multifactorial intervention program reduces the duration of delirium, length of hospitalization, and mortality in delirious patients. J Am Geriatr Soc. 2005;53(4):622-628. doi:10.1111/j.1532-5415.2005.53210.x

19. Tabet N, Hudson S, Sweeney V, et al. An educational intervention can prevent delirium on acute medical wards. Age Ageing. 2005;34(2):152-156. doi:10.1093/ageing/afi0320. Han JH, Zimmerman EE, Cutler N, et al. Delirium in older emergency department patients: recognition, risk factors, and psychomotor subtypes.  Acad Emerg Med.  2009;16(3):193-200. doi:10.1111/j.1553-2712.2008.00339.x

Issue
Journal of Clinical Outcomes Management - 28(6)
Issue
Journal of Clinical Outcomes Management - 28(6)
Page Number
272-279
Page Number
272-279
Publications
Publications
Topics
Article Type
Display Headline
Positive Outcomes Following a Multidisciplinary Approach in the Diagnosis and Prevention of Hospital Delirium
Display Headline
Positive Outcomes Following a Multidisciplinary Approach in the Diagnosis and Prevention of Hospital Delirium
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article
Article PDF Media

Adjuvant Olaparib Improves Outcomes in High-Risk, HER2-Negative Early Breast Cancer Patients With Germline BRCA1 and BRCA2 Mutations

Article Type
Changed
Tue, 11/23/2021 - 15:03
Display Headline
Adjuvant Olaparib Improves Outcomes in High-Risk, HER2-Negative Early Breast Cancer Patients With Germline BRCA1 and BRCA2 Mutations

Study Overview

Objective. To assess the efficacy and safety of olaparib as an adjuvant treatment in patients with BRCA1 or BRCA2 germline mutations who are at a high-risk for relapse.

Design. A randomized, double-blind, placebo-controlled, multicenter phase III study. The published results are from the prespecified interim analysis.

Intervention. Patients were randomized in 1:1 ratio to either receive 300 mg of olaparib orally twice daily or to receive a matching placebo. Randomization was stratified by hormone receptor status (estrogen receptor and/or progesterone receptor positive/HER2-negative vs triple negative), prior neoadjuvant vs adjuvant chemotherapy, and prior platinum use for breast cancer. Treatment was continued for 52 weeks.

Setting and participants. A total of 1836 patients were randomized in a 1:1 fashion to receive olaparib or a placebo. Eligible patients had a germline BRCA1 or BRCA1 pathogenic or likely pathogenic variant. Patients had high-risk, HER2-negative primary breast cancers and all had received definitive local therapy and neoadjuvant or adjuvant chemotherapy. Patients were enrolled between 2 to 12 weeks after completion of all local therapy. Platinum chemotherapy was allowed. Patients received adjuvant endocrine therapy for hormone receptor positive disease as well as adjuvant bisphosphonates per institutional guidelines. Patients with triple negative disease who received adjuvant chemotherapy were required to be lymph node positive or have at least 2 cm invasive disease. Patients who received neoadjuvant chemotherapy were required to have residual invasive disease to be eligible. For hormone receptor positive patients receiving adjuvant chemotherapy to be eligible they had to have at least 4 pathologically confirmed lymph nodes involved. Hormone receptor positive patients who had neoadjuvant chemotherapy were required to have had residual invasive disease.

Main outcome measures. The primary endpoint for the study was invasive disease-free survival which was defined as time from randomization to date of recurrence or death from any cause. The secondary endpoints included overall survival (OS), distant disease-free survival, safety, and tolerability of olaparib.

Main results. At the time of data cutoff, 284 events had occurred with a median follow-up of 2.5 years in the intention to treat population. A total of 81% of patients had triple negative breast cancer. Most patients (94% in the olaparib group and 92% in the placebo group) received both taxane and anthracycline based chemotherapy regimens. Platinum based chemotherapy was used in 26% of patients in each group. The groups were otherwise well balanced. Germline mutations in BRCA1 were present in 72% of patients and BRCA2 in 27% of patients. These were balanced between groups.

At the time of this analysis, adjuvant olaparib reduced the risk of invasive disease-free survival by 42% compared with placebo (P < .001). At 3 years, invasive disease-free survival was 85.9% in the olaparib group and 77.1% in the placebo group (difference, 8.8 percentage points; 95% CI, 4.5-13.0; hazard ratio [HR], 0.58; 99.5% CI, 0.41-0.82; P < .001). The 3-year distant disease-free survival was 87.5% in the olaparib group and 80.4% in the placebo group (HR 0.57; 99.5% CI, 0.39-0.83; P < .001). Results also showed that olaparib was associated with fewer deaths than placebo (59 and 86, respectively) (HR, 0.68; 99% CI, 0.44-1.05; P = .02); however, there was no significant difference between treatment arms at the time of this interim analysis. Subgroup analysis showed a consistent benefit across all groups with no difference noted regarding BRCA mutation, hormone receptor status or use of neoadjuvant vs adjuvant chemotherapy.

 

 

The side effects were consistent with the safety profile of olaparib. Adverse events of grade 3 or higher more common with olaparib included anemia (8.7%), leukopenia (3%), and fatigue (1.8%). Early discontinuation of trial regimen due to adverse events of disease recurrence occurred in 25.9% in the olaparib group and 20.7% in the placebo group. Blood transfusions were required in 5.8% of patients in the olaparib group. Myelodysplasia or acute myleoid leukemia was observed in 2 patients in the olaparib group and 3 patients in the placebo group. Adverse events leading to death occurred in 1 patient in the olaparib group and 2 patients in the placebo group.

Conclusion. Among patients with high-risk, HER2-negative early breast cancer and germline BRCA1 or BRCA2 pathogenic or likely pathogenic variants, adjuvant olaparib after completion of local treatment and neoadjuvant or adjuvant chemotherapy was associated with significantly longer invasive disease-free and distant disease-free survival compared with placebo.

Commentary

The results from the current OlympiA trial provide the first evidence that adjuvant therapy with poly adenosine diphosphate-ribose polymerase (PARP) inhibitors can improve outcomes in high-risk, HER2-negative breast cancer in patients with pathogenic BRCA1 and BRCA2 mutations. The OS, while favoring olaparib, is not yet mature at the time of this analysis. Nevertheless, these results represent an important step forward in improving outcomes in this patient population. The efficacy and safety of PARP inhibitors in BRCA-mutated breast cancer has previously been shown in patients with advanced disease leading to FDA approval of both olaparib and talazoparib in this setting.1,2 With the current results, PARP inhibitors will certainly play an important role in the adjuvant setting in patients with deleterious BRCA1 or BRCA2 mutations at high risk for relapse. Importantly, the side effect profile appears acceptable with no unexpected events and a very low rate of secondary myeloid malignancies.

Subgroup analysis appears to indicate a benefit across all groups including hormone receptor–positive disease and triple negative breast cancer. Interestingly, approximately 25% of patients in both cohorts received platinum-based chemotherapy. The efficacy of adjuvant olaparib did not appear to be impacted by prior use of platinum-containing chemotherapy regimens. It is important to consider that postneoadjuvant capecitabine, per the results of the CREATE-X trial, in triple-negative patients was not permitted in the current study. Although, this has been widely adopted in clinical practice.3 The CREATE-X trial did not specify the benefit of adjuvant capecitabine in the BRCA-mutated cohort, thus, it is not clear how this subgroup fares with this approach. Thus, one cannot extrapolate the relative efficacy of olaparib compared with capecitabine, as pointed out by the authors, and whether we consider the use of capecitabine and/or olaparib in triple-negative patients with residual invasive disease after neoadjuvant chemotherapy is not clear at this time.

Nevertheless, the magnitude of benefit seen in this trial certainly provide clinically relevant and potentially practice changing results. It will be imperative to follow these results as the survival data matures and ensure no further long-term toxicity, particularly secondary myeloid malignancies, develop. These results should be discussed with each patient and informed decisions regarding the use of adjuvant olaparib should be considered for this patient population. Lastly, these results highlight the importance of germline testing for patients with breast cancer in accordance with national guideline recommendations. Moreover, these results certainly call into question whether it is time to consider expansion of our current germline testing guidelines to detect all potential patients who may benefit from this therapy.

Application for Clinical Practice

Adjuvant olaparib in high-risk patients with germline BRCA1 or BRCA2 mutations improves invasive and distant disease-free survival and should be considered in patients who meet the enrollment criteria of the current study. Furthermore, this highlights the importance of appropriate germline genetic testing in patients with breast cancer.

Financial disclosures: None.

References

1. Robson M, Im SA, Senkus E, et al. Olaparib for metastatic breast cancer in patients with a germline BRCA mutation. N Engl J Med. 2017;377(6):523-533. doi:10.1056/NEJMoa1706450

2. Litton JK, Rugo HS, Ettl J, et al. Talazoparib in Patients with Advanced Breast Cancer and a Germline BRCA Mutation. N Engl J Med. 2018;379(8):753-763. doi:10.1056/NEJMoa1802905

3. Masuda N, Lee SJ, Ohtani S, et al. Adjuvant Capecitabine for Breast Cancer after Preoperative Chemotherapy. N Engl J Med. 2017;376(22):2147-2159. doi:10.1056/NEJMoa1612645

Article PDF
Issue
Journal of Clinical Outcomes Management - 28(6)
Publications
Topics
Page Number
249-251
Sections
Article PDF
Article PDF

Study Overview

Objective. To assess the efficacy and safety of olaparib as an adjuvant treatment in patients with BRCA1 or BRCA2 germline mutations who are at a high-risk for relapse.

Design. A randomized, double-blind, placebo-controlled, multicenter phase III study. The published results are from the prespecified interim analysis.

Intervention. Patients were randomized in 1:1 ratio to either receive 300 mg of olaparib orally twice daily or to receive a matching placebo. Randomization was stratified by hormone receptor status (estrogen receptor and/or progesterone receptor positive/HER2-negative vs triple negative), prior neoadjuvant vs adjuvant chemotherapy, and prior platinum use for breast cancer. Treatment was continued for 52 weeks.

Setting and participants. A total of 1836 patients were randomized in a 1:1 fashion to receive olaparib or a placebo. Eligible patients had a germline BRCA1 or BRCA1 pathogenic or likely pathogenic variant. Patients had high-risk, HER2-negative primary breast cancers and all had received definitive local therapy and neoadjuvant or adjuvant chemotherapy. Patients were enrolled between 2 to 12 weeks after completion of all local therapy. Platinum chemotherapy was allowed. Patients received adjuvant endocrine therapy for hormone receptor positive disease as well as adjuvant bisphosphonates per institutional guidelines. Patients with triple negative disease who received adjuvant chemotherapy were required to be lymph node positive or have at least 2 cm invasive disease. Patients who received neoadjuvant chemotherapy were required to have residual invasive disease to be eligible. For hormone receptor positive patients receiving adjuvant chemotherapy to be eligible they had to have at least 4 pathologically confirmed lymph nodes involved. Hormone receptor positive patients who had neoadjuvant chemotherapy were required to have had residual invasive disease.

Main outcome measures. The primary endpoint for the study was invasive disease-free survival which was defined as time from randomization to date of recurrence or death from any cause. The secondary endpoints included overall survival (OS), distant disease-free survival, safety, and tolerability of olaparib.

Main results. At the time of data cutoff, 284 events had occurred with a median follow-up of 2.5 years in the intention to treat population. A total of 81% of patients had triple negative breast cancer. Most patients (94% in the olaparib group and 92% in the placebo group) received both taxane and anthracycline based chemotherapy regimens. Platinum based chemotherapy was used in 26% of patients in each group. The groups were otherwise well balanced. Germline mutations in BRCA1 were present in 72% of patients and BRCA2 in 27% of patients. These were balanced between groups.

At the time of this analysis, adjuvant olaparib reduced the risk of invasive disease-free survival by 42% compared with placebo (P < .001). At 3 years, invasive disease-free survival was 85.9% in the olaparib group and 77.1% in the placebo group (difference, 8.8 percentage points; 95% CI, 4.5-13.0; hazard ratio [HR], 0.58; 99.5% CI, 0.41-0.82; P < .001). The 3-year distant disease-free survival was 87.5% in the olaparib group and 80.4% in the placebo group (HR 0.57; 99.5% CI, 0.39-0.83; P < .001). Results also showed that olaparib was associated with fewer deaths than placebo (59 and 86, respectively) (HR, 0.68; 99% CI, 0.44-1.05; P = .02); however, there was no significant difference between treatment arms at the time of this interim analysis. Subgroup analysis showed a consistent benefit across all groups with no difference noted regarding BRCA mutation, hormone receptor status or use of neoadjuvant vs adjuvant chemotherapy.

 

 

The side effects were consistent with the safety profile of olaparib. Adverse events of grade 3 or higher more common with olaparib included anemia (8.7%), leukopenia (3%), and fatigue (1.8%). Early discontinuation of trial regimen due to adverse events of disease recurrence occurred in 25.9% in the olaparib group and 20.7% in the placebo group. Blood transfusions were required in 5.8% of patients in the olaparib group. Myelodysplasia or acute myleoid leukemia was observed in 2 patients in the olaparib group and 3 patients in the placebo group. Adverse events leading to death occurred in 1 patient in the olaparib group and 2 patients in the placebo group.

Conclusion. Among patients with high-risk, HER2-negative early breast cancer and germline BRCA1 or BRCA2 pathogenic or likely pathogenic variants, adjuvant olaparib after completion of local treatment and neoadjuvant or adjuvant chemotherapy was associated with significantly longer invasive disease-free and distant disease-free survival compared with placebo.

Commentary

The results from the current OlympiA trial provide the first evidence that adjuvant therapy with poly adenosine diphosphate-ribose polymerase (PARP) inhibitors can improve outcomes in high-risk, HER2-negative breast cancer in patients with pathogenic BRCA1 and BRCA2 mutations. The OS, while favoring olaparib, is not yet mature at the time of this analysis. Nevertheless, these results represent an important step forward in improving outcomes in this patient population. The efficacy and safety of PARP inhibitors in BRCA-mutated breast cancer has previously been shown in patients with advanced disease leading to FDA approval of both olaparib and talazoparib in this setting.1,2 With the current results, PARP inhibitors will certainly play an important role in the adjuvant setting in patients with deleterious BRCA1 or BRCA2 mutations at high risk for relapse. Importantly, the side effect profile appears acceptable with no unexpected events and a very low rate of secondary myeloid malignancies.

Subgroup analysis appears to indicate a benefit across all groups including hormone receptor–positive disease and triple negative breast cancer. Interestingly, approximately 25% of patients in both cohorts received platinum-based chemotherapy. The efficacy of adjuvant olaparib did not appear to be impacted by prior use of platinum-containing chemotherapy regimens. It is important to consider that postneoadjuvant capecitabine, per the results of the CREATE-X trial, in triple-negative patients was not permitted in the current study. Although, this has been widely adopted in clinical practice.3 The CREATE-X trial did not specify the benefit of adjuvant capecitabine in the BRCA-mutated cohort, thus, it is not clear how this subgroup fares with this approach. Thus, one cannot extrapolate the relative efficacy of olaparib compared with capecitabine, as pointed out by the authors, and whether we consider the use of capecitabine and/or olaparib in triple-negative patients with residual invasive disease after neoadjuvant chemotherapy is not clear at this time.

Nevertheless, the magnitude of benefit seen in this trial certainly provide clinically relevant and potentially practice changing results. It will be imperative to follow these results as the survival data matures and ensure no further long-term toxicity, particularly secondary myeloid malignancies, develop. These results should be discussed with each patient and informed decisions regarding the use of adjuvant olaparib should be considered for this patient population. Lastly, these results highlight the importance of germline testing for patients with breast cancer in accordance with national guideline recommendations. Moreover, these results certainly call into question whether it is time to consider expansion of our current germline testing guidelines to detect all potential patients who may benefit from this therapy.

Application for Clinical Practice

Adjuvant olaparib in high-risk patients with germline BRCA1 or BRCA2 mutations improves invasive and distant disease-free survival and should be considered in patients who meet the enrollment criteria of the current study. Furthermore, this highlights the importance of appropriate germline genetic testing in patients with breast cancer.

Financial disclosures: None.

Study Overview

Objective. To assess the efficacy and safety of olaparib as an adjuvant treatment in patients with BRCA1 or BRCA2 germline mutations who are at a high-risk for relapse.

Design. A randomized, double-blind, placebo-controlled, multicenter phase III study. The published results are from the prespecified interim analysis.

Intervention. Patients were randomized in 1:1 ratio to either receive 300 mg of olaparib orally twice daily or to receive a matching placebo. Randomization was stratified by hormone receptor status (estrogen receptor and/or progesterone receptor positive/HER2-negative vs triple negative), prior neoadjuvant vs adjuvant chemotherapy, and prior platinum use for breast cancer. Treatment was continued for 52 weeks.

Setting and participants. A total of 1836 patients were randomized in a 1:1 fashion to receive olaparib or a placebo. Eligible patients had a germline BRCA1 or BRCA1 pathogenic or likely pathogenic variant. Patients had high-risk, HER2-negative primary breast cancers and all had received definitive local therapy and neoadjuvant or adjuvant chemotherapy. Patients were enrolled between 2 to 12 weeks after completion of all local therapy. Platinum chemotherapy was allowed. Patients received adjuvant endocrine therapy for hormone receptor positive disease as well as adjuvant bisphosphonates per institutional guidelines. Patients with triple negative disease who received adjuvant chemotherapy were required to be lymph node positive or have at least 2 cm invasive disease. Patients who received neoadjuvant chemotherapy were required to have residual invasive disease to be eligible. For hormone receptor positive patients receiving adjuvant chemotherapy to be eligible they had to have at least 4 pathologically confirmed lymph nodes involved. Hormone receptor positive patients who had neoadjuvant chemotherapy were required to have had residual invasive disease.

Main outcome measures. The primary endpoint for the study was invasive disease-free survival which was defined as time from randomization to date of recurrence or death from any cause. The secondary endpoints included overall survival (OS), distant disease-free survival, safety, and tolerability of olaparib.

Main results. At the time of data cutoff, 284 events had occurred with a median follow-up of 2.5 years in the intention to treat population. A total of 81% of patients had triple negative breast cancer. Most patients (94% in the olaparib group and 92% in the placebo group) received both taxane and anthracycline based chemotherapy regimens. Platinum based chemotherapy was used in 26% of patients in each group. The groups were otherwise well balanced. Germline mutations in BRCA1 were present in 72% of patients and BRCA2 in 27% of patients. These were balanced between groups.

At the time of this analysis, adjuvant olaparib reduced the risk of invasive disease-free survival by 42% compared with placebo (P < .001). At 3 years, invasive disease-free survival was 85.9% in the olaparib group and 77.1% in the placebo group (difference, 8.8 percentage points; 95% CI, 4.5-13.0; hazard ratio [HR], 0.58; 99.5% CI, 0.41-0.82; P < .001). The 3-year distant disease-free survival was 87.5% in the olaparib group and 80.4% in the placebo group (HR 0.57; 99.5% CI, 0.39-0.83; P < .001). Results also showed that olaparib was associated with fewer deaths than placebo (59 and 86, respectively) (HR, 0.68; 99% CI, 0.44-1.05; P = .02); however, there was no significant difference between treatment arms at the time of this interim analysis. Subgroup analysis showed a consistent benefit across all groups with no difference noted regarding BRCA mutation, hormone receptor status or use of neoadjuvant vs adjuvant chemotherapy.

 

 

The side effects were consistent with the safety profile of olaparib. Adverse events of grade 3 or higher more common with olaparib included anemia (8.7%), leukopenia (3%), and fatigue (1.8%). Early discontinuation of trial regimen due to adverse events of disease recurrence occurred in 25.9% in the olaparib group and 20.7% in the placebo group. Blood transfusions were required in 5.8% of patients in the olaparib group. Myelodysplasia or acute myleoid leukemia was observed in 2 patients in the olaparib group and 3 patients in the placebo group. Adverse events leading to death occurred in 1 patient in the olaparib group and 2 patients in the placebo group.

Conclusion. Among patients with high-risk, HER2-negative early breast cancer and germline BRCA1 or BRCA2 pathogenic or likely pathogenic variants, adjuvant olaparib after completion of local treatment and neoadjuvant or adjuvant chemotherapy was associated with significantly longer invasive disease-free and distant disease-free survival compared with placebo.

Commentary

The results from the current OlympiA trial provide the first evidence that adjuvant therapy with poly adenosine diphosphate-ribose polymerase (PARP) inhibitors can improve outcomes in high-risk, HER2-negative breast cancer in patients with pathogenic BRCA1 and BRCA2 mutations. The OS, while favoring olaparib, is not yet mature at the time of this analysis. Nevertheless, these results represent an important step forward in improving outcomes in this patient population. The efficacy and safety of PARP inhibitors in BRCA-mutated breast cancer has previously been shown in patients with advanced disease leading to FDA approval of both olaparib and talazoparib in this setting.1,2 With the current results, PARP inhibitors will certainly play an important role in the adjuvant setting in patients with deleterious BRCA1 or BRCA2 mutations at high risk for relapse. Importantly, the side effect profile appears acceptable with no unexpected events and a very low rate of secondary myeloid malignancies.

Subgroup analysis appears to indicate a benefit across all groups including hormone receptor–positive disease and triple negative breast cancer. Interestingly, approximately 25% of patients in both cohorts received platinum-based chemotherapy. The efficacy of adjuvant olaparib did not appear to be impacted by prior use of platinum-containing chemotherapy regimens. It is important to consider that postneoadjuvant capecitabine, per the results of the CREATE-X trial, in triple-negative patients was not permitted in the current study. Although, this has been widely adopted in clinical practice.3 The CREATE-X trial did not specify the benefit of adjuvant capecitabine in the BRCA-mutated cohort, thus, it is not clear how this subgroup fares with this approach. Thus, one cannot extrapolate the relative efficacy of olaparib compared with capecitabine, as pointed out by the authors, and whether we consider the use of capecitabine and/or olaparib in triple-negative patients with residual invasive disease after neoadjuvant chemotherapy is not clear at this time.

Nevertheless, the magnitude of benefit seen in this trial certainly provide clinically relevant and potentially practice changing results. It will be imperative to follow these results as the survival data matures and ensure no further long-term toxicity, particularly secondary myeloid malignancies, develop. These results should be discussed with each patient and informed decisions regarding the use of adjuvant olaparib should be considered for this patient population. Lastly, these results highlight the importance of germline testing for patients with breast cancer in accordance with national guideline recommendations. Moreover, these results certainly call into question whether it is time to consider expansion of our current germline testing guidelines to detect all potential patients who may benefit from this therapy.

Application for Clinical Practice

Adjuvant olaparib in high-risk patients with germline BRCA1 or BRCA2 mutations improves invasive and distant disease-free survival and should be considered in patients who meet the enrollment criteria of the current study. Furthermore, this highlights the importance of appropriate germline genetic testing in patients with breast cancer.

Financial disclosures: None.

References

1. Robson M, Im SA, Senkus E, et al. Olaparib for metastatic breast cancer in patients with a germline BRCA mutation. N Engl J Med. 2017;377(6):523-533. doi:10.1056/NEJMoa1706450

2. Litton JK, Rugo HS, Ettl J, et al. Talazoparib in Patients with Advanced Breast Cancer and a Germline BRCA Mutation. N Engl J Med. 2018;379(8):753-763. doi:10.1056/NEJMoa1802905

3. Masuda N, Lee SJ, Ohtani S, et al. Adjuvant Capecitabine for Breast Cancer after Preoperative Chemotherapy. N Engl J Med. 2017;376(22):2147-2159. doi:10.1056/NEJMoa1612645

References

1. Robson M, Im SA, Senkus E, et al. Olaparib for metastatic breast cancer in patients with a germline BRCA mutation. N Engl J Med. 2017;377(6):523-533. doi:10.1056/NEJMoa1706450

2. Litton JK, Rugo HS, Ettl J, et al. Talazoparib in Patients with Advanced Breast Cancer and a Germline BRCA Mutation. N Engl J Med. 2018;379(8):753-763. doi:10.1056/NEJMoa1802905

3. Masuda N, Lee SJ, Ohtani S, et al. Adjuvant Capecitabine for Breast Cancer after Preoperative Chemotherapy. N Engl J Med. 2017;376(22):2147-2159. doi:10.1056/NEJMoa1612645

Issue
Journal of Clinical Outcomes Management - 28(6)
Issue
Journal of Clinical Outcomes Management - 28(6)
Page Number
249-251
Page Number
249-251
Publications
Publications
Topics
Article Type
Display Headline
Adjuvant Olaparib Improves Outcomes in High-Risk, HER2-Negative Early Breast Cancer Patients With Germline BRCA1 and BRCA2 Mutations
Display Headline
Adjuvant Olaparib Improves Outcomes in High-Risk, HER2-Negative Early Breast Cancer Patients With Germline BRCA1 and BRCA2 Mutations
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article
Article PDF Media

Patient whips out smartphone and starts recording: Trouble ahead?

Article Type
Changed
Mon, 11/22/2021 - 09:23

 

Smartphones are part and parcel to everyday life, including medicine. Here’s how to handle that.

Joe Lindsey, a 48-year old Colorado-based journalist, has dealt with complex hearing loss for about 15 years. which has led to countless doctor’s visits, treatments, and even surgery in hopes of finding improvement. As time went on and Mr. Lindsey’s hearing deteriorated, he began recording his appointments in order to retain important information.

Mr. Lindsey had positive intentions, but not every patient does.

With smartphones everywhere, recording medical appointments can be fraught with downsides too. While there are clear-cut reasons for recording doctor visits, patients’ goals and how they carry out the taping are key. Audio only? Or also video? With the physician’s knowledge and permission, or without?

These are the legal and ethical weeds doctors find themselves in today, so it’s important to understand all sides of the issue.

The medical world is divided on its sentiments about patients recording their visits. The American Medical Association, in fact, failed to make progress on a recent policy (resolution 007) proposal to encourage that any “audio or video recording made during a medical encounter should require both physician and patient notification and consent.” Rather than voting on the resolution, the AMA house of delegates tabled it and chose to gather more information on the issue.

In most cases, patients are recording their visits in good faith, says Jeffrey Segal, MD, JD, the CEO and founder of Medical Justice, a risk mitigation and reputation management firm for healthcare clinicians. “When it comes to ‘Team, let’s record this,’ I’m a fan,” he says. “The most common reason patients record visits is that there’s a lot of information transferred from the doctor to the patient, and there’s just not enough time to absorb it all.”

While the option is there for patients to take notes, in the give-and-take nature of conversation, this can get difficult. “If they record the visit, they can then digest it all down the road,” says Dr. Segal. “A compliant patient is one who understands what’s expected. That’s the charitable explanation for recording, and I support it.”

It’s that question of good intent, however, that concerns some physicians in today’s highly litigious society. “The worry is that there’s a small subset of patients with an ulterior motive,” says Dr. Segal.

“Some patients do record in case of an event down the road,” he adds. “They want the recording to potentially talk to a lawyer, or to file a board complaint.”

Laws in the United States surrounding recordings are confusing, with variations from state to state. Currently, 39 U.S. states allow for one-party consent — meaning a patient can record a visit without consenting with the physician.

Monica Verduzco-Gutierrez, MD, professor and chair of rehabilitation medicine at University of Texas Health, San Antonio, resides in Texas, which is one of the 39 one-consent states. “Physicians must be aware of this fact and consider how it might be used against them,” she says. “A good practice is to set expectations with the patient from the start. Also, know your hospital’s policy — some may have boundaries surrounding recordings.”

The first step is to know what type of state you practice in. Regardless of whether you are in a one- or two-party consent state — but especially a one-party state — it’s a smart move to add a sign at your office saying that you support the recording of visits, provided the patient is open and transparent about it. “Let the patient know that if they plan to record, they should ask your permission,” says Dr. Segal. “Let them know it’s not appropriate if they haven’t received your permission.” 

There are, of course, the occasional horror stories involving surreptitious recordings. “I remember a case where a patient left a phone actively recording in his bag of clothing, which went into the OR with him,” he says. “The background conversation was not flattering to the patient, who happened to be an employee of the hospital. When he came to and listened to the recording, he sued, winning his case.”
 

 

 

The age of video and telehealth

What about the rare situation when a patient pulls out a phone and begins to videotape a conversation? It can be a big slippery slope. “Patients can abuse a video recording with editing, and the recording becomes one-dimensional, which is unfair to the physician,” adds Dr. Segal.

Patients sometimes have other motives as well. “I’m aware of occasions where a doctor/patient visit got heated and the patient took out the phone to video record, sharing it to social media,” says Dr. Segal. “Once someone uses a phone to take video, just stop the conversation. Tell the patient, ‘We’re having a disagreement,’ and that it’s time to put an end to it.”

He adds that from the physician side, a video can be a protagonist in a conversation. “Frankly, a camera on your face changes the nature of things,” Dr. Segal says. “It’s much easier to have the phone sitting in a corner, quietly recording.”

Other scenarios might involve a patient’s family member accompanying the patient and bringing out their phone to record. “Doctors should consider how this might be used against them — it can blow up,” says Dr. Verduzco-Gutierrez. “Draw boundaries on this behavior, using your hospital’s policy if it has one.”

In today’s pandemic landscape, this is particularly important, she adds. “There’s generally more mistrust in the medical system right now,” says Dr. Verduzco-Gutierrez. “People are getting misinformation from sources that aren’t credible, and then want to record their visits because they aren’t receiving the treatment they want, for instance.”

COVID has also added the tricky element of telehealth, which has exploded since 2020. “You don’t know what a patient is doing on the other side of the screen,” Dr. Verduzco-Gutierrez explains. “Face-to-face, you might see them with their phones out, but anything goes with telehealth. You have to be open and communicative with your patients about your policies from the start to avoid any negative connotations.”
 

How taping can help patients

Mr. Lindsey, the Colorado journalist, is far from alone in his desire to use visit recordings in order to retain valuable information — and with good reason. According to the Dartmouth Institute for Health Policy and Clinical Practice’s Open Recordings Project, at least 1 in 10 patients records their doctor’s visits.

“I realized I was missing things and in a medical setting, that matters,” Mr. Lindsey says. “Last year, once COVID hit and we all began wearing masks, I lost my ability to read lips, one of my coping mechanisms. It became even more important that I had a backup recording to ensure I understood everything.”

Even if a patient doesn’t have hearing loss like Mr. Lindsey, having an audio record of a visit can be useful. According to a 2018 study on patient recall of key information 1 week out from their visits, 49% of decisions and recommendations were recalled accurately without prompting; 36% recalled with a prompt; and 15% recalled erroneously or not at all.

This squares with the personal experiences of Dr. Verduzco-Gutierrez. “I even see this with my mom, who doesn’t remember many details of her doctor’s visits when I ask her,” she says. “This can definitely impact treatment.”
 

 

 

For better or worse

Dr. Verduzco-Gutierrez says that often it comes down to how a patient learns best. “I teach my residents to keep this in mind and to ask the patient in advance what works best for them,” she says. “If a patient is a visual learner, they might want to take notes or have access to the appointment notes after the visit. If they will learn and retain the information best with an audio recording, then offer that option.”

Mr. Lindsey makes it a habit to inform his physicians that he will be making an audio recording of his visits. “I always let them know that I’m recording for accuracy and not to catch them in some sort of falsehood,” he says. “I can get the doctor’s notes, but those are often short and to the point; I can get more information by going back over the recording.”

To date, Mr. Lindsey hasn’t experienced any pushback from his physicians. “No one has balked at the idea or acted surprised that I want to do it,” he explains. “I think most doctors appreciate that we have a tool we can make use of for better care.”

In past coverage of the topic, some healthcare providers weighed in with support for recordings, usually citing personal reasons. “I am so very grateful for the physicians that allowed me to record the medical appointments that I attended with my parents,” said one. “As their adult daughter, I was painfully aware that my parents struggled to process and understand all of the new information coming their way.”

Another expressed support as well, stating that as a patient, he prefers recordings to notes, because the latter “bears little resemblance to the content of the meeting and discussion with the physician. If the patient straightforwardly asks for permission to record, then why not honor the good intent expressed thereby?” 

More often than not, patients have good intentions when they decide to hit the  record button in a medical visit. A little preparation goes a long way, however, says Dr. Segal: “Assume you’re being recorded, and act accordingly.”

A version of this article first appeared on Medscape.com.

Publications
Topics
Sections

 

Smartphones are part and parcel to everyday life, including medicine. Here’s how to handle that.

Joe Lindsey, a 48-year old Colorado-based journalist, has dealt with complex hearing loss for about 15 years. which has led to countless doctor’s visits, treatments, and even surgery in hopes of finding improvement. As time went on and Mr. Lindsey’s hearing deteriorated, he began recording his appointments in order to retain important information.

Mr. Lindsey had positive intentions, but not every patient does.

With smartphones everywhere, recording medical appointments can be fraught with downsides too. While there are clear-cut reasons for recording doctor visits, patients’ goals and how they carry out the taping are key. Audio only? Or also video? With the physician’s knowledge and permission, or without?

These are the legal and ethical weeds doctors find themselves in today, so it’s important to understand all sides of the issue.

The medical world is divided on its sentiments about patients recording their visits. The American Medical Association, in fact, failed to make progress on a recent policy (resolution 007) proposal to encourage that any “audio or video recording made during a medical encounter should require both physician and patient notification and consent.” Rather than voting on the resolution, the AMA house of delegates tabled it and chose to gather more information on the issue.

In most cases, patients are recording their visits in good faith, says Jeffrey Segal, MD, JD, the CEO and founder of Medical Justice, a risk mitigation and reputation management firm for healthcare clinicians. “When it comes to ‘Team, let’s record this,’ I’m a fan,” he says. “The most common reason patients record visits is that there’s a lot of information transferred from the doctor to the patient, and there’s just not enough time to absorb it all.”

While the option is there for patients to take notes, in the give-and-take nature of conversation, this can get difficult. “If they record the visit, they can then digest it all down the road,” says Dr. Segal. “A compliant patient is one who understands what’s expected. That’s the charitable explanation for recording, and I support it.”

It’s that question of good intent, however, that concerns some physicians in today’s highly litigious society. “The worry is that there’s a small subset of patients with an ulterior motive,” says Dr. Segal.

“Some patients do record in case of an event down the road,” he adds. “They want the recording to potentially talk to a lawyer, or to file a board complaint.”

Laws in the United States surrounding recordings are confusing, with variations from state to state. Currently, 39 U.S. states allow for one-party consent — meaning a patient can record a visit without consenting with the physician.

Monica Verduzco-Gutierrez, MD, professor and chair of rehabilitation medicine at University of Texas Health, San Antonio, resides in Texas, which is one of the 39 one-consent states. “Physicians must be aware of this fact and consider how it might be used against them,” she says. “A good practice is to set expectations with the patient from the start. Also, know your hospital’s policy — some may have boundaries surrounding recordings.”

The first step is to know what type of state you practice in. Regardless of whether you are in a one- or two-party consent state — but especially a one-party state — it’s a smart move to add a sign at your office saying that you support the recording of visits, provided the patient is open and transparent about it. “Let the patient know that if they plan to record, they should ask your permission,” says Dr. Segal. “Let them know it’s not appropriate if they haven’t received your permission.” 

There are, of course, the occasional horror stories involving surreptitious recordings. “I remember a case where a patient left a phone actively recording in his bag of clothing, which went into the OR with him,” he says. “The background conversation was not flattering to the patient, who happened to be an employee of the hospital. When he came to and listened to the recording, he sued, winning his case.”
 

 

 

The age of video and telehealth

What about the rare situation when a patient pulls out a phone and begins to videotape a conversation? It can be a big slippery slope. “Patients can abuse a video recording with editing, and the recording becomes one-dimensional, which is unfair to the physician,” adds Dr. Segal.

Patients sometimes have other motives as well. “I’m aware of occasions where a doctor/patient visit got heated and the patient took out the phone to video record, sharing it to social media,” says Dr. Segal. “Once someone uses a phone to take video, just stop the conversation. Tell the patient, ‘We’re having a disagreement,’ and that it’s time to put an end to it.”

He adds that from the physician side, a video can be a protagonist in a conversation. “Frankly, a camera on your face changes the nature of things,” Dr. Segal says. “It’s much easier to have the phone sitting in a corner, quietly recording.”

Other scenarios might involve a patient’s family member accompanying the patient and bringing out their phone to record. “Doctors should consider how this might be used against them — it can blow up,” says Dr. Verduzco-Gutierrez. “Draw boundaries on this behavior, using your hospital’s policy if it has one.”

In today’s pandemic landscape, this is particularly important, she adds. “There’s generally more mistrust in the medical system right now,” says Dr. Verduzco-Gutierrez. “People are getting misinformation from sources that aren’t credible, and then want to record their visits because they aren’t receiving the treatment they want, for instance.”

COVID has also added the tricky element of telehealth, which has exploded since 2020. “You don’t know what a patient is doing on the other side of the screen,” Dr. Verduzco-Gutierrez explains. “Face-to-face, you might see them with their phones out, but anything goes with telehealth. You have to be open and communicative with your patients about your policies from the start to avoid any negative connotations.”
 

How taping can help patients

Mr. Lindsey, the Colorado journalist, is far from alone in his desire to use visit recordings in order to retain valuable information — and with good reason. According to the Dartmouth Institute for Health Policy and Clinical Practice’s Open Recordings Project, at least 1 in 10 patients records their doctor’s visits.

“I realized I was missing things and in a medical setting, that matters,” Mr. Lindsey says. “Last year, once COVID hit and we all began wearing masks, I lost my ability to read lips, one of my coping mechanisms. It became even more important that I had a backup recording to ensure I understood everything.”

Even if a patient doesn’t have hearing loss like Mr. Lindsey, having an audio record of a visit can be useful. According to a 2018 study on patient recall of key information 1 week out from their visits, 49% of decisions and recommendations were recalled accurately without prompting; 36% recalled with a prompt; and 15% recalled erroneously or not at all.

This squares with the personal experiences of Dr. Verduzco-Gutierrez. “I even see this with my mom, who doesn’t remember many details of her doctor’s visits when I ask her,” she says. “This can definitely impact treatment.”
 

 

 

For better or worse

Dr. Verduzco-Gutierrez says that often it comes down to how a patient learns best. “I teach my residents to keep this in mind and to ask the patient in advance what works best for them,” she says. “If a patient is a visual learner, they might want to take notes or have access to the appointment notes after the visit. If they will learn and retain the information best with an audio recording, then offer that option.”

Mr. Lindsey makes it a habit to inform his physicians that he will be making an audio recording of his visits. “I always let them know that I’m recording for accuracy and not to catch them in some sort of falsehood,” he says. “I can get the doctor’s notes, but those are often short and to the point; I can get more information by going back over the recording.”

To date, Mr. Lindsey hasn’t experienced any pushback from his physicians. “No one has balked at the idea or acted surprised that I want to do it,” he explains. “I think most doctors appreciate that we have a tool we can make use of for better care.”

In past coverage of the topic, some healthcare providers weighed in with support for recordings, usually citing personal reasons. “I am so very grateful for the physicians that allowed me to record the medical appointments that I attended with my parents,” said one. “As their adult daughter, I was painfully aware that my parents struggled to process and understand all of the new information coming their way.”

Another expressed support as well, stating that as a patient, he prefers recordings to notes, because the latter “bears little resemblance to the content of the meeting and discussion with the physician. If the patient straightforwardly asks for permission to record, then why not honor the good intent expressed thereby?” 

More often than not, patients have good intentions when they decide to hit the  record button in a medical visit. A little preparation goes a long way, however, says Dr. Segal: “Assume you’re being recorded, and act accordingly.”

A version of this article first appeared on Medscape.com.

 

Smartphones are part and parcel to everyday life, including medicine. Here’s how to handle that.

Joe Lindsey, a 48-year old Colorado-based journalist, has dealt with complex hearing loss for about 15 years. which has led to countless doctor’s visits, treatments, and even surgery in hopes of finding improvement. As time went on and Mr. Lindsey’s hearing deteriorated, he began recording his appointments in order to retain important information.

Mr. Lindsey had positive intentions, but not every patient does.

With smartphones everywhere, recording medical appointments can be fraught with downsides too. While there are clear-cut reasons for recording doctor visits, patients’ goals and how they carry out the taping are key. Audio only? Or also video? With the physician’s knowledge and permission, or without?

These are the legal and ethical weeds doctors find themselves in today, so it’s important to understand all sides of the issue.

The medical world is divided on its sentiments about patients recording their visits. The American Medical Association, in fact, failed to make progress on a recent policy (resolution 007) proposal to encourage that any “audio or video recording made during a medical encounter should require both physician and patient notification and consent.” Rather than voting on the resolution, the AMA house of delegates tabled it and chose to gather more information on the issue.

In most cases, patients are recording their visits in good faith, says Jeffrey Segal, MD, JD, the CEO and founder of Medical Justice, a risk mitigation and reputation management firm for healthcare clinicians. “When it comes to ‘Team, let’s record this,’ I’m a fan,” he says. “The most common reason patients record visits is that there’s a lot of information transferred from the doctor to the patient, and there’s just not enough time to absorb it all.”

While the option is there for patients to take notes, in the give-and-take nature of conversation, this can get difficult. “If they record the visit, they can then digest it all down the road,” says Dr. Segal. “A compliant patient is one who understands what’s expected. That’s the charitable explanation for recording, and I support it.”

It’s that question of good intent, however, that concerns some physicians in today’s highly litigious society. “The worry is that there’s a small subset of patients with an ulterior motive,” says Dr. Segal.

“Some patients do record in case of an event down the road,” he adds. “They want the recording to potentially talk to a lawyer, or to file a board complaint.”

Laws in the United States surrounding recordings are confusing, with variations from state to state. Currently, 39 U.S. states allow for one-party consent — meaning a patient can record a visit without consenting with the physician.

Monica Verduzco-Gutierrez, MD, professor and chair of rehabilitation medicine at University of Texas Health, San Antonio, resides in Texas, which is one of the 39 one-consent states. “Physicians must be aware of this fact and consider how it might be used against them,” she says. “A good practice is to set expectations with the patient from the start. Also, know your hospital’s policy — some may have boundaries surrounding recordings.”

The first step is to know what type of state you practice in. Regardless of whether you are in a one- or two-party consent state — but especially a one-party state — it’s a smart move to add a sign at your office saying that you support the recording of visits, provided the patient is open and transparent about it. “Let the patient know that if they plan to record, they should ask your permission,” says Dr. Segal. “Let them know it’s not appropriate if they haven’t received your permission.” 

There are, of course, the occasional horror stories involving surreptitious recordings. “I remember a case where a patient left a phone actively recording in his bag of clothing, which went into the OR with him,” he says. “The background conversation was not flattering to the patient, who happened to be an employee of the hospital. When he came to and listened to the recording, he sued, winning his case.”
 

 

 

The age of video and telehealth

What about the rare situation when a patient pulls out a phone and begins to videotape a conversation? It can be a big slippery slope. “Patients can abuse a video recording with editing, and the recording becomes one-dimensional, which is unfair to the physician,” adds Dr. Segal.

Patients sometimes have other motives as well. “I’m aware of occasions where a doctor/patient visit got heated and the patient took out the phone to video record, sharing it to social media,” says Dr. Segal. “Once someone uses a phone to take video, just stop the conversation. Tell the patient, ‘We’re having a disagreement,’ and that it’s time to put an end to it.”

He adds that from the physician side, a video can be a protagonist in a conversation. “Frankly, a camera on your face changes the nature of things,” Dr. Segal says. “It’s much easier to have the phone sitting in a corner, quietly recording.”

Other scenarios might involve a patient’s family member accompanying the patient and bringing out their phone to record. “Doctors should consider how this might be used against them — it can blow up,” says Dr. Verduzco-Gutierrez. “Draw boundaries on this behavior, using your hospital’s policy if it has one.”

In today’s pandemic landscape, this is particularly important, she adds. “There’s generally more mistrust in the medical system right now,” says Dr. Verduzco-Gutierrez. “People are getting misinformation from sources that aren’t credible, and then want to record their visits because they aren’t receiving the treatment they want, for instance.”

COVID has also added the tricky element of telehealth, which has exploded since 2020. “You don’t know what a patient is doing on the other side of the screen,” Dr. Verduzco-Gutierrez explains. “Face-to-face, you might see them with their phones out, but anything goes with telehealth. You have to be open and communicative with your patients about your policies from the start to avoid any negative connotations.”
 

How taping can help patients

Mr. Lindsey, the Colorado journalist, is far from alone in his desire to use visit recordings in order to retain valuable information — and with good reason. According to the Dartmouth Institute for Health Policy and Clinical Practice’s Open Recordings Project, at least 1 in 10 patients records their doctor’s visits.

“I realized I was missing things and in a medical setting, that matters,” Mr. Lindsey says. “Last year, once COVID hit and we all began wearing masks, I lost my ability to read lips, one of my coping mechanisms. It became even more important that I had a backup recording to ensure I understood everything.”

Even if a patient doesn’t have hearing loss like Mr. Lindsey, having an audio record of a visit can be useful. According to a 2018 study on patient recall of key information 1 week out from their visits, 49% of decisions and recommendations were recalled accurately without prompting; 36% recalled with a prompt; and 15% recalled erroneously or not at all.

This squares with the personal experiences of Dr. Verduzco-Gutierrez. “I even see this with my mom, who doesn’t remember many details of her doctor’s visits when I ask her,” she says. “This can definitely impact treatment.”
 

 

 

For better or worse

Dr. Verduzco-Gutierrez says that often it comes down to how a patient learns best. “I teach my residents to keep this in mind and to ask the patient in advance what works best for them,” she says. “If a patient is a visual learner, they might want to take notes or have access to the appointment notes after the visit. If they will learn and retain the information best with an audio recording, then offer that option.”

Mr. Lindsey makes it a habit to inform his physicians that he will be making an audio recording of his visits. “I always let them know that I’m recording for accuracy and not to catch them in some sort of falsehood,” he says. “I can get the doctor’s notes, but those are often short and to the point; I can get more information by going back over the recording.”

To date, Mr. Lindsey hasn’t experienced any pushback from his physicians. “No one has balked at the idea or acted surprised that I want to do it,” he explains. “I think most doctors appreciate that we have a tool we can make use of for better care.”

In past coverage of the topic, some healthcare providers weighed in with support for recordings, usually citing personal reasons. “I am so very grateful for the physicians that allowed me to record the medical appointments that I attended with my parents,” said one. “As their adult daughter, I was painfully aware that my parents struggled to process and understand all of the new information coming their way.”

Another expressed support as well, stating that as a patient, he prefers recordings to notes, because the latter “bears little resemblance to the content of the meeting and discussion with the physician. If the patient straightforwardly asks for permission to record, then why not honor the good intent expressed thereby?” 

More often than not, patients have good intentions when they decide to hit the  record button in a medical visit. A little preparation goes a long way, however, says Dr. Segal: “Assume you’re being recorded, and act accordingly.”

A version of this article first appeared on Medscape.com.

Publications
Publications
Topics
Article Type
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article

Beware of private equity–owned nursing homes: study

Article Type
Changed
Mon, 11/22/2021 - 08:18

When you have to help a parent choose a nursing home or you need nursing home care yourself, you can consult a health care professional, talk to friends, or look at the Nursing Home Compare website of the Centers for Medicare and Medicaid Services (CMS). The CMS website includes star ratings for each nursing home, both overall and on health inspections, staffing and certain quality measures.

But what you might not know is what financial incentives a particular nursing home might have to provide high-quality care, depending on what kind of entity owns the facility.

A study published Nov. 19 in JAMA Health Forum throws light on at least one aspect of the ownership question: What happens when a private equity (PE) firm acquires a nursing home? According to the study, you can expect a somewhat lower level of quality in a PE-owned nursing home than in other for-profit facilities.

The researchers compared CMS data on 302 nursing homes owned by 79 PE firms to data on 9,562 for-profit facilities not owned by such companies from 2013 to 2017. Among fee-for-service Medicare patients in long-term care, private equity acquisitions of nursing homes were associated with an 11.1% increase in ambulatory-care-sensitive (ACS) visits to the emergency department (ED) and an 8.7% increase in ACS hospitalizations per quarter, compared to the changes that occurred in the non-PE-owned facilities, they found.

What’s more, Medicare costs per beneficiary increased 3.9% more – or about $1,000 a year – in the PE-owned nursing homes than they did in the other cohort during the study period.

And when the acquired nursing homes were compared to the nursing homes prior to their acquisition by PE firms, there were no statistically significant differences in unadjusted outcomes, the researchers found. That means the two cohorts were broadly comparable.

The researchers adjusted the numbers in their study for various characteristics of the facilities and their residents. For example, the PE-acquired nursing homes were likely to have a higher percentage of patients covered by Medicare and a lower percentage covered by Medicaid than their non-PE counterparts.

The mean percentages of Black residents, female residents, and residents aged 85 or older were 12.4%, 65.4%, and 36.2%, respectively, for the PE-owned nursing homes and 15.7%, 67.8%, and 39%, respectively, for the non–PE-owned facilities.
 

Less than optimal outcomes

On average, the residents of non–PE-owned nursing homes had better outcomes than did the patients in the PE-owned facilities. But that doesn’t mean that the average for-profit nursing home had terrific outcomes.

For all the nursing homes in the study, the mean quarterly rate of ACS emergency department visits was 14.1%, and the mean quarterly rate of ACS hospitalizations was 17.3%.

“These events should be largely, although not completely, preventable with appropriate care,” the researchers pointed out.

To date, PE firms have invested about $750 billion in U.S. health care, with nursing homes being a major target of these companies, which currently own 5% of skilled nursing facilities, per the study. PE companies seek annual returns of 20% or more, the paper says, and thus feel pressure to generate high short-term profits. That could lead to reduced staffing, services, supplies, or equipment in their facilities.

Some nursing homes purchased by PE firms may be responsible for the debt incurred in their own leveraged buyouts, the researchers noted. There is also concern that PE firms may focus their properties disproportionately on short-term post-acute care, which is reimbursed at a higher rate than long-term care, the study says.

For all these reasons, some health policy makers are concerned about the long-term impact of private-equity nursing home acquisitions, according to the study.

A version of this article first appeared on WebMD.com.

Publications
Topics
Sections

When you have to help a parent choose a nursing home or you need nursing home care yourself, you can consult a health care professional, talk to friends, or look at the Nursing Home Compare website of the Centers for Medicare and Medicaid Services (CMS). The CMS website includes star ratings for each nursing home, both overall and on health inspections, staffing and certain quality measures.

But what you might not know is what financial incentives a particular nursing home might have to provide high-quality care, depending on what kind of entity owns the facility.

A study published Nov. 19 in JAMA Health Forum throws light on at least one aspect of the ownership question: What happens when a private equity (PE) firm acquires a nursing home? According to the study, you can expect a somewhat lower level of quality in a PE-owned nursing home than in other for-profit facilities.

The researchers compared CMS data on 302 nursing homes owned by 79 PE firms to data on 9,562 for-profit facilities not owned by such companies from 2013 to 2017. Among fee-for-service Medicare patients in long-term care, private equity acquisitions of nursing homes were associated with an 11.1% increase in ambulatory-care-sensitive (ACS) visits to the emergency department (ED) and an 8.7% increase in ACS hospitalizations per quarter, compared to the changes that occurred in the non-PE-owned facilities, they found.

What’s more, Medicare costs per beneficiary increased 3.9% more – or about $1,000 a year – in the PE-owned nursing homes than they did in the other cohort during the study period.

And when the acquired nursing homes were compared to the nursing homes prior to their acquisition by PE firms, there were no statistically significant differences in unadjusted outcomes, the researchers found. That means the two cohorts were broadly comparable.

The researchers adjusted the numbers in their study for various characteristics of the facilities and their residents. For example, the PE-acquired nursing homes were likely to have a higher percentage of patients covered by Medicare and a lower percentage covered by Medicaid than their non-PE counterparts.

The mean percentages of Black residents, female residents, and residents aged 85 or older were 12.4%, 65.4%, and 36.2%, respectively, for the PE-owned nursing homes and 15.7%, 67.8%, and 39%, respectively, for the non–PE-owned facilities.
 

Less than optimal outcomes

On average, the residents of non–PE-owned nursing homes had better outcomes than did the patients in the PE-owned facilities. But that doesn’t mean that the average for-profit nursing home had terrific outcomes.

For all the nursing homes in the study, the mean quarterly rate of ACS emergency department visits was 14.1%, and the mean quarterly rate of ACS hospitalizations was 17.3%.

“These events should be largely, although not completely, preventable with appropriate care,” the researchers pointed out.

To date, PE firms have invested about $750 billion in U.S. health care, with nursing homes being a major target of these companies, which currently own 5% of skilled nursing facilities, per the study. PE companies seek annual returns of 20% or more, the paper says, and thus feel pressure to generate high short-term profits. That could lead to reduced staffing, services, supplies, or equipment in their facilities.

Some nursing homes purchased by PE firms may be responsible for the debt incurred in their own leveraged buyouts, the researchers noted. There is also concern that PE firms may focus their properties disproportionately on short-term post-acute care, which is reimbursed at a higher rate than long-term care, the study says.

For all these reasons, some health policy makers are concerned about the long-term impact of private-equity nursing home acquisitions, according to the study.

A version of this article first appeared on WebMD.com.

When you have to help a parent choose a nursing home or you need nursing home care yourself, you can consult a health care professional, talk to friends, or look at the Nursing Home Compare website of the Centers for Medicare and Medicaid Services (CMS). The CMS website includes star ratings for each nursing home, both overall and on health inspections, staffing and certain quality measures.

But what you might not know is what financial incentives a particular nursing home might have to provide high-quality care, depending on what kind of entity owns the facility.

A study published Nov. 19 in JAMA Health Forum throws light on at least one aspect of the ownership question: What happens when a private equity (PE) firm acquires a nursing home? According to the study, you can expect a somewhat lower level of quality in a PE-owned nursing home than in other for-profit facilities.

The researchers compared CMS data on 302 nursing homes owned by 79 PE firms to data on 9,562 for-profit facilities not owned by such companies from 2013 to 2017. Among fee-for-service Medicare patients in long-term care, private equity acquisitions of nursing homes were associated with an 11.1% increase in ambulatory-care-sensitive (ACS) visits to the emergency department (ED) and an 8.7% increase in ACS hospitalizations per quarter, compared to the changes that occurred in the non-PE-owned facilities, they found.

What’s more, Medicare costs per beneficiary increased 3.9% more – or about $1,000 a year – in the PE-owned nursing homes than they did in the other cohort during the study period.

And when the acquired nursing homes were compared to the nursing homes prior to their acquisition by PE firms, there were no statistically significant differences in unadjusted outcomes, the researchers found. That means the two cohorts were broadly comparable.

The researchers adjusted the numbers in their study for various characteristics of the facilities and their residents. For example, the PE-acquired nursing homes were likely to have a higher percentage of patients covered by Medicare and a lower percentage covered by Medicaid than their non-PE counterparts.

The mean percentages of Black residents, female residents, and residents aged 85 or older were 12.4%, 65.4%, and 36.2%, respectively, for the PE-owned nursing homes and 15.7%, 67.8%, and 39%, respectively, for the non–PE-owned facilities.
 

Less than optimal outcomes

On average, the residents of non–PE-owned nursing homes had better outcomes than did the patients in the PE-owned facilities. But that doesn’t mean that the average for-profit nursing home had terrific outcomes.

For all the nursing homes in the study, the mean quarterly rate of ACS emergency department visits was 14.1%, and the mean quarterly rate of ACS hospitalizations was 17.3%.

“These events should be largely, although not completely, preventable with appropriate care,” the researchers pointed out.

To date, PE firms have invested about $750 billion in U.S. health care, with nursing homes being a major target of these companies, which currently own 5% of skilled nursing facilities, per the study. PE companies seek annual returns of 20% or more, the paper says, and thus feel pressure to generate high short-term profits. That could lead to reduced staffing, services, supplies, or equipment in their facilities.

Some nursing homes purchased by PE firms may be responsible for the debt incurred in their own leveraged buyouts, the researchers noted. There is also concern that PE firms may focus their properties disproportionately on short-term post-acute care, which is reimbursed at a higher rate than long-term care, the study says.

For all these reasons, some health policy makers are concerned about the long-term impact of private-equity nursing home acquisitions, according to the study.

A version of this article first appeared on WebMD.com.

Publications
Publications
Topics
Article Type
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article

How to deal with offensive or impaired doctors

Article Type
Changed
Mon, 11/22/2021 - 08:28

Medical practices will likely have to confront a doctor at some point who treats staff badly or is too impaired to practice safely. Knowing what to say and do can lead to a positive outcome for the physician involved and the organization.

Misbehaving and impaired physicians put their organizations at risk, which can lead to malpractice/patient injury lawsuits, labor law and harassment claims, and a damaged reputation through negative social media reviews, said Debra Phairas, MBA, president of Practice and Liability Consultants LLC, at the annual meeting of the Medical Group Management Association (MGMA) .

“Verbal harassment or bullying claims can result in large dollar awards against the organizations that knew about the behavior and did nothing to stop it. Organizations can be sued for that,” says Ms. Phairas.

She recalls a doctor who called a female doctor “an entitled bitch” and the administrator “incompetent” in front of other staff. “He would pick on one department manager at every meeting and humiliate them in front of the others,” says Ms. Phairas.

After working with a human resources (HR) attorney and conducting independent reviews, they used a strategy Ms. Phairas calls her “3 C’s” for dealing with disruptive doctors.
 

Confront, correct, and/or counsel

The three C’s can work individually or together, depending on the doctor’s situation. Confronting a physician can start with an informal discussion; correcting can involve seeking a written apology that directly addresses the problem or sending a letter of admonition; and coaching or counseling can be offered. If the doctor resists those efforts, practice administrators can issue a final letter of warning and then suspend or terminate the physician, says Ms. Phairas.

Sometimes having a conversation with a disruptive doctor about the risks and consequences is enough to change the offending behavior, says Ms. Phairas.

She recalled being asked by a medical group to meet with a physician who she says was “snapping the bra straps of medical assistants in the hall — everyone there was horrified. I told him that’s not appropriate, that he was placing everyone at risk and they will terminate him if he didn’t stop. I asked for his commitment to stop, and he agreed,” says Ms. Phairas.

She also recommends implementing these strategies to prevent and deal with disruptive physicians:

  • Implement a code of conduct and share it during interviews;
  • Have zero tolerance policies and procedures for documenting behavior;
  • Get advice from a good employment attorney;
  • Implement written performance improvement plans;
  • Provide resources to change the behavior;
  • Follow through with suspension and termination; and
  • Add to shareholder agreements a clause stating that partners/shareholders can gently ask or insist that the physician obtain counseling or help.

Getting impaired doctors help

Doctors can be impaired through substance abuse, a serious medical illness, mental illness, or age-related deterioration.

Life events such as divorce or the death of a spouse, child, or a physician partner can affect a doctor’s mental health. “In those cases, you need to have the courage to say you’re really depressed and we all agree you need to get help,” says Ms. Phairas.

She recalls one occasion in which a practice administration staff member could not locate a doctor whose patients were waiting to be seen. “He was so devastated from his divorce that he had crawled into a ball beneath his desk. She had to coax him out and tell him that they were worried about him and he needed to get help.”

Another reason doctors may not be performing well may be because of an undiagnosed medical illness. Doctors in an orthopedic group were mad at another partner who had slowed down and couldn’t help pay the expenses. “They were ready to terminate him when he went to the doctor and learned he had colon cancer,” says Ms. Phairas.

Ms. Phairas recommends that practices update their partner shareholder agreements regularly with the following:

  • Include “fit for duty” examinations, especially after age 65.
  • Insist that a physician be evaluated by a doctor outside the practice. The doctor may be one that they agree upon or one chosen by the local medical society president.
  • Include in the agreement the clause, “Partners and employees will be subject to review for impairment due to matters including but not limited to age-related, physical, or mental conditions.”
  • Establish a voting mechanism for terminating a physician.

Aging doctors who won’t retire

Some doctors have retired early because of COVID, whereas others are staying on because they are feeling financial pressures — they lost a lot of money last year and need to make up for it, says Ms. Phairas.

She warned that administrators have to be careful in dealing with older doctors because of age discrimination laws.

Doctors may not notice they are declining mentally until it becomes a problem. Ms. Phairas recalls an internist senior partner who started behaving erratically when he was 78 years old. “He wrote himself a $25,000 check from the organization’s funds without telling his partners, left a patient he should have been watching and she fell over and sued the practice, and the staff started noticing that he was forgetting or not doing things,” says Ms. Phairas.

She sought guidance from a good HR attorney and involved a malpractice attorney. She then met with the senior partner. “I reminded him of his Hippocratic Oath that he took when he became a doctor and told him that his actions were harming patients. I pleaded with him that it was time to retire. He didn’t.”

Because this physician wouldn’t retire, the practice referred to their updated shareholder agreement, which stated that they could insist that the physician undergo a neuropsychiatric assessment from a certified specialist. He didn’t pass the evaluation, which then provided evidence of his declining cognitive skills.

“All the doctors, myself, and the HR attorney talked to him about this and laid out all the facts. It was hard to say these things, but he listened and left. We went through the termination process to protect the practice and avoid litigation. The malpractice insurer also refused to renew his policy,” says Ms. Phairas.

A version of this article first appeared on Medscape.com.

Publications
Topics
Sections

Medical practices will likely have to confront a doctor at some point who treats staff badly or is too impaired to practice safely. Knowing what to say and do can lead to a positive outcome for the physician involved and the organization.

Misbehaving and impaired physicians put their organizations at risk, which can lead to malpractice/patient injury lawsuits, labor law and harassment claims, and a damaged reputation through negative social media reviews, said Debra Phairas, MBA, president of Practice and Liability Consultants LLC, at the annual meeting of the Medical Group Management Association (MGMA) .

“Verbal harassment or bullying claims can result in large dollar awards against the organizations that knew about the behavior and did nothing to stop it. Organizations can be sued for that,” says Ms. Phairas.

She recalls a doctor who called a female doctor “an entitled bitch” and the administrator “incompetent” in front of other staff. “He would pick on one department manager at every meeting and humiliate them in front of the others,” says Ms. Phairas.

After working with a human resources (HR) attorney and conducting independent reviews, they used a strategy Ms. Phairas calls her “3 C’s” for dealing with disruptive doctors.
 

Confront, correct, and/or counsel

The three C’s can work individually or together, depending on the doctor’s situation. Confronting a physician can start with an informal discussion; correcting can involve seeking a written apology that directly addresses the problem or sending a letter of admonition; and coaching or counseling can be offered. If the doctor resists those efforts, practice administrators can issue a final letter of warning and then suspend or terminate the physician, says Ms. Phairas.

Sometimes having a conversation with a disruptive doctor about the risks and consequences is enough to change the offending behavior, says Ms. Phairas.

She recalled being asked by a medical group to meet with a physician who she says was “snapping the bra straps of medical assistants in the hall — everyone there was horrified. I told him that’s not appropriate, that he was placing everyone at risk and they will terminate him if he didn’t stop. I asked for his commitment to stop, and he agreed,” says Ms. Phairas.

She also recommends implementing these strategies to prevent and deal with disruptive physicians:

  • Implement a code of conduct and share it during interviews;
  • Have zero tolerance policies and procedures for documenting behavior;
  • Get advice from a good employment attorney;
  • Implement written performance improvement plans;
  • Provide resources to change the behavior;
  • Follow through with suspension and termination; and
  • Add to shareholder agreements a clause stating that partners/shareholders can gently ask or insist that the physician obtain counseling or help.

Getting impaired doctors help

Doctors can be impaired through substance abuse, a serious medical illness, mental illness, or age-related deterioration.

Life events such as divorce or the death of a spouse, child, or a physician partner can affect a doctor’s mental health. “In those cases, you need to have the courage to say you’re really depressed and we all agree you need to get help,” says Ms. Phairas.

She recalls one occasion in which a practice administration staff member could not locate a doctor whose patients were waiting to be seen. “He was so devastated from his divorce that he had crawled into a ball beneath his desk. She had to coax him out and tell him that they were worried about him and he needed to get help.”

Another reason doctors may not be performing well may be because of an undiagnosed medical illness. Doctors in an orthopedic group were mad at another partner who had slowed down and couldn’t help pay the expenses. “They were ready to terminate him when he went to the doctor and learned he had colon cancer,” says Ms. Phairas.

Ms. Phairas recommends that practices update their partner shareholder agreements regularly with the following:

  • Include “fit for duty” examinations, especially after age 65.
  • Insist that a physician be evaluated by a doctor outside the practice. The doctor may be one that they agree upon or one chosen by the local medical society president.
  • Include in the agreement the clause, “Partners and employees will be subject to review for impairment due to matters including but not limited to age-related, physical, or mental conditions.”
  • Establish a voting mechanism for terminating a physician.

Aging doctors who won’t retire

Some doctors have retired early because of COVID, whereas others are staying on because they are feeling financial pressures — they lost a lot of money last year and need to make up for it, says Ms. Phairas.

She warned that administrators have to be careful in dealing with older doctors because of age discrimination laws.

Doctors may not notice they are declining mentally until it becomes a problem. Ms. Phairas recalls an internist senior partner who started behaving erratically when he was 78 years old. “He wrote himself a $25,000 check from the organization’s funds without telling his partners, left a patient he should have been watching and she fell over and sued the practice, and the staff started noticing that he was forgetting or not doing things,” says Ms. Phairas.

She sought guidance from a good HR attorney and involved a malpractice attorney. She then met with the senior partner. “I reminded him of his Hippocratic Oath that he took when he became a doctor and told him that his actions were harming patients. I pleaded with him that it was time to retire. He didn’t.”

Because this physician wouldn’t retire, the practice referred to their updated shareholder agreement, which stated that they could insist that the physician undergo a neuropsychiatric assessment from a certified specialist. He didn’t pass the evaluation, which then provided evidence of his declining cognitive skills.

“All the doctors, myself, and the HR attorney talked to him about this and laid out all the facts. It was hard to say these things, but he listened and left. We went through the termination process to protect the practice and avoid litigation. The malpractice insurer also refused to renew his policy,” says Ms. Phairas.

A version of this article first appeared on Medscape.com.

Medical practices will likely have to confront a doctor at some point who treats staff badly or is too impaired to practice safely. Knowing what to say and do can lead to a positive outcome for the physician involved and the organization.

Misbehaving and impaired physicians put their organizations at risk, which can lead to malpractice/patient injury lawsuits, labor law and harassment claims, and a damaged reputation through negative social media reviews, said Debra Phairas, MBA, president of Practice and Liability Consultants LLC, at the annual meeting of the Medical Group Management Association (MGMA) .

“Verbal harassment or bullying claims can result in large dollar awards against the organizations that knew about the behavior and did nothing to stop it. Organizations can be sued for that,” says Ms. Phairas.

She recalls a doctor who called a female doctor “an entitled bitch” and the administrator “incompetent” in front of other staff. “He would pick on one department manager at every meeting and humiliate them in front of the others,” says Ms. Phairas.

After working with a human resources (HR) attorney and conducting independent reviews, they used a strategy Ms. Phairas calls her “3 C’s” for dealing with disruptive doctors.
 

Confront, correct, and/or counsel

The three C’s can work individually or together, depending on the doctor’s situation. Confronting a physician can start with an informal discussion; correcting can involve seeking a written apology that directly addresses the problem or sending a letter of admonition; and coaching or counseling can be offered. If the doctor resists those efforts, practice administrators can issue a final letter of warning and then suspend or terminate the physician, says Ms. Phairas.

Sometimes having a conversation with a disruptive doctor about the risks and consequences is enough to change the offending behavior, says Ms. Phairas.

She recalled being asked by a medical group to meet with a physician who she says was “snapping the bra straps of medical assistants in the hall — everyone there was horrified. I told him that’s not appropriate, that he was placing everyone at risk and they will terminate him if he didn’t stop. I asked for his commitment to stop, and he agreed,” says Ms. Phairas.

She also recommends implementing these strategies to prevent and deal with disruptive physicians:

  • Implement a code of conduct and share it during interviews;
  • Have zero tolerance policies and procedures for documenting behavior;
  • Get advice from a good employment attorney;
  • Implement written performance improvement plans;
  • Provide resources to change the behavior;
  • Follow through with suspension and termination; and
  • Add to shareholder agreements a clause stating that partners/shareholders can gently ask or insist that the physician obtain counseling or help.

Getting impaired doctors help

Doctors can be impaired through substance abuse, a serious medical illness, mental illness, or age-related deterioration.

Life events such as divorce or the death of a spouse, child, or a physician partner can affect a doctor’s mental health. “In those cases, you need to have the courage to say you’re really depressed and we all agree you need to get help,” says Ms. Phairas.

She recalls one occasion in which a practice administration staff member could not locate a doctor whose patients were waiting to be seen. “He was so devastated from his divorce that he had crawled into a ball beneath his desk. She had to coax him out and tell him that they were worried about him and he needed to get help.”

Another reason doctors may not be performing well may be because of an undiagnosed medical illness. Doctors in an orthopedic group were mad at another partner who had slowed down and couldn’t help pay the expenses. “They were ready to terminate him when he went to the doctor and learned he had colon cancer,” says Ms. Phairas.

Ms. Phairas recommends that practices update their partner shareholder agreements regularly with the following:

  • Include “fit for duty” examinations, especially after age 65.
  • Insist that a physician be evaluated by a doctor outside the practice. The doctor may be one that they agree upon or one chosen by the local medical society president.
  • Include in the agreement the clause, “Partners and employees will be subject to review for impairment due to matters including but not limited to age-related, physical, or mental conditions.”
  • Establish a voting mechanism for terminating a physician.

Aging doctors who won’t retire

Some doctors have retired early because of COVID, whereas others are staying on because they are feeling financial pressures — they lost a lot of money last year and need to make up for it, says Ms. Phairas.

She warned that administrators have to be careful in dealing with older doctors because of age discrimination laws.

Doctors may not notice they are declining mentally until it becomes a problem. Ms. Phairas recalls an internist senior partner who started behaving erratically when he was 78 years old. “He wrote himself a $25,000 check from the organization’s funds without telling his partners, left a patient he should have been watching and she fell over and sued the practice, and the staff started noticing that he was forgetting or not doing things,” says Ms. Phairas.

She sought guidance from a good HR attorney and involved a malpractice attorney. She then met with the senior partner. “I reminded him of his Hippocratic Oath that he took when he became a doctor and told him that his actions were harming patients. I pleaded with him that it was time to retire. He didn’t.”

Because this physician wouldn’t retire, the practice referred to their updated shareholder agreement, which stated that they could insist that the physician undergo a neuropsychiatric assessment from a certified specialist. He didn’t pass the evaluation, which then provided evidence of his declining cognitive skills.

“All the doctors, myself, and the HR attorney talked to him about this and laid out all the facts. It was hard to say these things, but he listened and left. We went through the termination process to protect the practice and avoid litigation. The malpractice insurer also refused to renew his policy,” says Ms. Phairas.

A version of this article first appeared on Medscape.com.

Publications
Publications
Topics
Article Type
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article

Medical technology should keep patient in mind

Article Type
Changed
Fri, 11/19/2021 - 14:10

On this occasion of writing our last of a decade of tech columns, we want to take the time to emphasize that our collective excitement about medical technology should never eclipse the reason for which it is created: to facilitate high-quality care.

Dr. Neil Skolnik

Indeed, science and technology provide opportunities to improve outcomes in ways not even imagined 100 years ago, yet we must acknowledge that technology also threatens to erect barriers between us and our patients. We can be easily tempted to confuse new care delivery tools with the actual care itself.

Courtesy Dr. Christopher Notte
Dr. Christopher Notte

Threats to the physician-patient relationship

Medical history provides many examples of how our zeal to innovate can have untoward consequences to the physician-patient relationship.

In the late 1800s, for example, to convey a sense of science, purity of intent, and trust, the medical community began wearing white coats. Those white coats have been discussed as creating emotional distance between physicians and their patients.1

Even when we in the medical community are slow and reluctant to change, the external forces propelling us forward often seem unstoppable; kinetic aspirations to innovate electronic information systems and new applications seem suddenly to revolutionize care delivery when we least expect it. The rapidity of change in technology can sometimes be dizzying but can at the same time can occur so swiftly we don’t even notice it.

After René Laennec invented the stethoscope in the early 1800s, clinicians no longer needed to physically lean in and place an ear directly onto patients to hear their hearts beating. This created a distance from patients that was still lamented 50 years later, when a professor of medicine is reported to have said, “he that hath ears to hear, let him use his ears and not a stethoscope.” Still, while the stethoscope has literally distanced us from patients, it is such an important tool that we no longer think about this distancing. We have adapted over time to remain close to our patients, to sincerely listen to their thoughts and reassure them that we hear them without the need to feel our ears on their chests.



Francis Peabody, the eminent Harvard physician, wrote an essay in 1927 titled, “The Care of the Patient.” At the end of the first paragraph, he states: “The most common criticism made at present by older practitioners is that young graduates ... are too “scientific” and do not know how to take care of patients.” He goes on to say that “one of the essential qualities of the clinician is interest in humanity, for the secret of the care of the patient is in caring for the patient.”2

We agree with Dr. Peabody. As we embrace science and technology that can change health outcomes, our patients’ needs to feel understood and cared for will not diminish. Instead, that need will continue to be an important aspect of our struggle and joy in providing holistic, humane, competent care into the future.

Twenty-first century physicians have access to an ever-growing trove of data, yet our ability to truly know our patients seems somehow less accessible. Home health devices have begun to provide a flow of information about parameters, ranging from continuous glucose readings to home blood pressures, weights, and inspiratory flow readings. These data can provide much more accurate insight into patients than what we can glean from one point in time during an office visit. Yet we need to remember that behind the data are people with dreams and desires, not just table entries in an electronic health record.

In 1923, the German philosopher Martin Buber published the book for which he is best known, “I and Thou.” In that book, Mr. Buber says that there are two ways we can approach relationships: “I-Thou” or “I-It.” In I-It relationships, we view the other person as an “it” to be used to accomplish a purpose, or to be experienced without his or her full involvement. In an I-Thou relationship, we appreciate the other people for all their complexity, in their full humanness. We must consciously remind ourselves amid the rush of technology that there are real people behind those data. We must acknowledge and approach each person as a unique individual who has dreams, goals, fears, and wishes that may be different from ours but to which we can still relate.

 

 

‘From the Beating End of the Stethoscope’

John Ciardi, an American poet, said the following in a poem titled, “Lines From the Beating End of the Stethoscope”:

I speak, as I say, the patient’s point of view.

But, given time, doctors are patients, too.

And there’s our bond: beyond anatomy,

Or in it, through it, to the mystery

Medicine takes the pulse of and lets go

Forever unexplained. It’s art, we know,

Not science at the heart. Doctor be whole,

I won’t insist the patient is a soul,

But he’s a something, possibly laughable,

Or possibly sublime, but not quite graphable.

Not quite containable on a bed chart.

Where science touches man it turns to art.3

This poem is a reminder of the subtle needs of patients during their encounters with doctors, especially around many of the most important decisions and events in their lives. Patients’ needs are varied, complex, difficult to discern, and not able to be fully explained or understood through math and science.

Einstein warned us that the modern age would be characterized by a perfection of means and a confusion of goals.4 As clinicians, we should strive to clarify and align our goals with those of our patients, providing care that is real, compassionate, and personal, not just an optimized means to achieve standardized metrics. While technology can assist us in this pursuit, we’ll need be careful that our enchantment with innovation does not cloud our actual goal: truly caring for our patients.
 

Dr. Notte is a family physician and chief medical officer of Abington (Pa.) Hospital–Jefferson Health. Dr. Skolnik is professor of family and community medicine at Sidney Kimmel Medical College, Philadelphia, and associate director of the family medicine residency program at Abington Hospital–Jefferson Health. They have no conflicts related to the content of this piece.

References

1. Jones VA. The white coat: Why not follow suit? JAMA. 1999;281(5):478. doi: 10.1001/jama.281.5.478-JMS0203-5-1

2. Peabody, Francis (1927). “The care of the patient.” JAMA. 88(12):877-82. doi: 10.1001/jama.1927.02680380001001.

3. Ciardi, John. Lines from the Beating End of the Stethoscope. Saturday Review, Nov. 18, 1968.

4. Albert Einstein, Out of My Later Years, 1950.

Publications
Topics
Sections

On this occasion of writing our last of a decade of tech columns, we want to take the time to emphasize that our collective excitement about medical technology should never eclipse the reason for which it is created: to facilitate high-quality care.

Dr. Neil Skolnik

Indeed, science and technology provide opportunities to improve outcomes in ways not even imagined 100 years ago, yet we must acknowledge that technology also threatens to erect barriers between us and our patients. We can be easily tempted to confuse new care delivery tools with the actual care itself.

Courtesy Dr. Christopher Notte
Dr. Christopher Notte

Threats to the physician-patient relationship

Medical history provides many examples of how our zeal to innovate can have untoward consequences to the physician-patient relationship.

In the late 1800s, for example, to convey a sense of science, purity of intent, and trust, the medical community began wearing white coats. Those white coats have been discussed as creating emotional distance between physicians and their patients.1

Even when we in the medical community are slow and reluctant to change, the external forces propelling us forward often seem unstoppable; kinetic aspirations to innovate electronic information systems and new applications seem suddenly to revolutionize care delivery when we least expect it. The rapidity of change in technology can sometimes be dizzying but can at the same time can occur so swiftly we don’t even notice it.

After René Laennec invented the stethoscope in the early 1800s, clinicians no longer needed to physically lean in and place an ear directly onto patients to hear their hearts beating. This created a distance from patients that was still lamented 50 years later, when a professor of medicine is reported to have said, “he that hath ears to hear, let him use his ears and not a stethoscope.” Still, while the stethoscope has literally distanced us from patients, it is such an important tool that we no longer think about this distancing. We have adapted over time to remain close to our patients, to sincerely listen to their thoughts and reassure them that we hear them without the need to feel our ears on their chests.



Francis Peabody, the eminent Harvard physician, wrote an essay in 1927 titled, “The Care of the Patient.” At the end of the first paragraph, he states: “The most common criticism made at present by older practitioners is that young graduates ... are too “scientific” and do not know how to take care of patients.” He goes on to say that “one of the essential qualities of the clinician is interest in humanity, for the secret of the care of the patient is in caring for the patient.”2

We agree with Dr. Peabody. As we embrace science and technology that can change health outcomes, our patients’ needs to feel understood and cared for will not diminish. Instead, that need will continue to be an important aspect of our struggle and joy in providing holistic, humane, competent care into the future.

Twenty-first century physicians have access to an ever-growing trove of data, yet our ability to truly know our patients seems somehow less accessible. Home health devices have begun to provide a flow of information about parameters, ranging from continuous glucose readings to home blood pressures, weights, and inspiratory flow readings. These data can provide much more accurate insight into patients than what we can glean from one point in time during an office visit. Yet we need to remember that behind the data are people with dreams and desires, not just table entries in an electronic health record.

In 1923, the German philosopher Martin Buber published the book for which he is best known, “I and Thou.” In that book, Mr. Buber says that there are two ways we can approach relationships: “I-Thou” or “I-It.” In I-It relationships, we view the other person as an “it” to be used to accomplish a purpose, or to be experienced without his or her full involvement. In an I-Thou relationship, we appreciate the other people for all their complexity, in their full humanness. We must consciously remind ourselves amid the rush of technology that there are real people behind those data. We must acknowledge and approach each person as a unique individual who has dreams, goals, fears, and wishes that may be different from ours but to which we can still relate.

 

 

‘From the Beating End of the Stethoscope’

John Ciardi, an American poet, said the following in a poem titled, “Lines From the Beating End of the Stethoscope”:

I speak, as I say, the patient’s point of view.

But, given time, doctors are patients, too.

And there’s our bond: beyond anatomy,

Or in it, through it, to the mystery

Medicine takes the pulse of and lets go

Forever unexplained. It’s art, we know,

Not science at the heart. Doctor be whole,

I won’t insist the patient is a soul,

But he’s a something, possibly laughable,

Or possibly sublime, but not quite graphable.

Not quite containable on a bed chart.

Where science touches man it turns to art.3

This poem is a reminder of the subtle needs of patients during their encounters with doctors, especially around many of the most important decisions and events in their lives. Patients’ needs are varied, complex, difficult to discern, and not able to be fully explained or understood through math and science.

Einstein warned us that the modern age would be characterized by a perfection of means and a confusion of goals.4 As clinicians, we should strive to clarify and align our goals with those of our patients, providing care that is real, compassionate, and personal, not just an optimized means to achieve standardized metrics. While technology can assist us in this pursuit, we’ll need be careful that our enchantment with innovation does not cloud our actual goal: truly caring for our patients.
 

Dr. Notte is a family physician and chief medical officer of Abington (Pa.) Hospital–Jefferson Health. Dr. Skolnik is professor of family and community medicine at Sidney Kimmel Medical College, Philadelphia, and associate director of the family medicine residency program at Abington Hospital–Jefferson Health. They have no conflicts related to the content of this piece.

References

1. Jones VA. The white coat: Why not follow suit? JAMA. 1999;281(5):478. doi: 10.1001/jama.281.5.478-JMS0203-5-1

2. Peabody, Francis (1927). “The care of the patient.” JAMA. 88(12):877-82. doi: 10.1001/jama.1927.02680380001001.

3. Ciardi, John. Lines from the Beating End of the Stethoscope. Saturday Review, Nov. 18, 1968.

4. Albert Einstein, Out of My Later Years, 1950.

On this occasion of writing our last of a decade of tech columns, we want to take the time to emphasize that our collective excitement about medical technology should never eclipse the reason for which it is created: to facilitate high-quality care.

Dr. Neil Skolnik

Indeed, science and technology provide opportunities to improve outcomes in ways not even imagined 100 years ago, yet we must acknowledge that technology also threatens to erect barriers between us and our patients. We can be easily tempted to confuse new care delivery tools with the actual care itself.

Courtesy Dr. Christopher Notte
Dr. Christopher Notte

Threats to the physician-patient relationship

Medical history provides many examples of how our zeal to innovate can have untoward consequences to the physician-patient relationship.

In the late 1800s, for example, to convey a sense of science, purity of intent, and trust, the medical community began wearing white coats. Those white coats have been discussed as creating emotional distance between physicians and their patients.1

Even when we in the medical community are slow and reluctant to change, the external forces propelling us forward often seem unstoppable; kinetic aspirations to innovate electronic information systems and new applications seem suddenly to revolutionize care delivery when we least expect it. The rapidity of change in technology can sometimes be dizzying but can at the same time can occur so swiftly we don’t even notice it.

After René Laennec invented the stethoscope in the early 1800s, clinicians no longer needed to physically lean in and place an ear directly onto patients to hear their hearts beating. This created a distance from patients that was still lamented 50 years later, when a professor of medicine is reported to have said, “he that hath ears to hear, let him use his ears and not a stethoscope.” Still, while the stethoscope has literally distanced us from patients, it is such an important tool that we no longer think about this distancing. We have adapted over time to remain close to our patients, to sincerely listen to their thoughts and reassure them that we hear them without the need to feel our ears on their chests.



Francis Peabody, the eminent Harvard physician, wrote an essay in 1927 titled, “The Care of the Patient.” At the end of the first paragraph, he states: “The most common criticism made at present by older practitioners is that young graduates ... are too “scientific” and do not know how to take care of patients.” He goes on to say that “one of the essential qualities of the clinician is interest in humanity, for the secret of the care of the patient is in caring for the patient.”2

We agree with Dr. Peabody. As we embrace science and technology that can change health outcomes, our patients’ needs to feel understood and cared for will not diminish. Instead, that need will continue to be an important aspect of our struggle and joy in providing holistic, humane, competent care into the future.

Twenty-first century physicians have access to an ever-growing trove of data, yet our ability to truly know our patients seems somehow less accessible. Home health devices have begun to provide a flow of information about parameters, ranging from continuous glucose readings to home blood pressures, weights, and inspiratory flow readings. These data can provide much more accurate insight into patients than what we can glean from one point in time during an office visit. Yet we need to remember that behind the data are people with dreams and desires, not just table entries in an electronic health record.

In 1923, the German philosopher Martin Buber published the book for which he is best known, “I and Thou.” In that book, Mr. Buber says that there are two ways we can approach relationships: “I-Thou” or “I-It.” In I-It relationships, we view the other person as an “it” to be used to accomplish a purpose, or to be experienced without his or her full involvement. In an I-Thou relationship, we appreciate the other people for all their complexity, in their full humanness. We must consciously remind ourselves amid the rush of technology that there are real people behind those data. We must acknowledge and approach each person as a unique individual who has dreams, goals, fears, and wishes that may be different from ours but to which we can still relate.

 

 

‘From the Beating End of the Stethoscope’

John Ciardi, an American poet, said the following in a poem titled, “Lines From the Beating End of the Stethoscope”:

I speak, as I say, the patient’s point of view.

But, given time, doctors are patients, too.

And there’s our bond: beyond anatomy,

Or in it, through it, to the mystery

Medicine takes the pulse of and lets go

Forever unexplained. It’s art, we know,

Not science at the heart. Doctor be whole,

I won’t insist the patient is a soul,

But he’s a something, possibly laughable,

Or possibly sublime, but not quite graphable.

Not quite containable on a bed chart.

Where science touches man it turns to art.3

This poem is a reminder of the subtle needs of patients during their encounters with doctors, especially around many of the most important decisions and events in their lives. Patients’ needs are varied, complex, difficult to discern, and not able to be fully explained or understood through math and science.

Einstein warned us that the modern age would be characterized by a perfection of means and a confusion of goals.4 As clinicians, we should strive to clarify and align our goals with those of our patients, providing care that is real, compassionate, and personal, not just an optimized means to achieve standardized metrics. While technology can assist us in this pursuit, we’ll need be careful that our enchantment with innovation does not cloud our actual goal: truly caring for our patients.
 

Dr. Notte is a family physician and chief medical officer of Abington (Pa.) Hospital–Jefferson Health. Dr. Skolnik is professor of family and community medicine at Sidney Kimmel Medical College, Philadelphia, and associate director of the family medicine residency program at Abington Hospital–Jefferson Health. They have no conflicts related to the content of this piece.

References

1. Jones VA. The white coat: Why not follow suit? JAMA. 1999;281(5):478. doi: 10.1001/jama.281.5.478-JMS0203-5-1

2. Peabody, Francis (1927). “The care of the patient.” JAMA. 88(12):877-82. doi: 10.1001/jama.1927.02680380001001.

3. Ciardi, John. Lines from the Beating End of the Stethoscope. Saturday Review, Nov. 18, 1968.

4. Albert Einstein, Out of My Later Years, 1950.

Publications
Publications
Topics
Article Type
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article

Words from the wise

Article Type
Changed
Tue, 11/23/2021 - 12:21

 

“When 900-years-old you reach, look as good you will not.” –Yoda

I’ve been on a roll lately: 100, 94, 90, 97, 94. These aren’t grades or even what I scratched on my scorecard for 18 holes (that’s more like 112), but rather patients I’ve seen.

Dr. Jeffrey Benabio

Our oldest-old have been in COVID-19 protection for the last couple of years and only now feel safe to come out again. Many have skin cancers. Some of them have many. I’m grateful that for all their health problems, basal cell carcinomas at least I can cure. And while I treat them, I get the benefit of hearing directly from our elders. I love asking them for general life advice. Here are a few things I learned.

From a 94-year-old woman who was just discharged from the hospital for sepsis: First, sepsis can sneak up from behind and jump you when you’re 94. She was sitting in a waiting room for a routine exam when she passed out and woke up in the ICU. She made it home and is back on her feet, literally. When I asked her how she made it though, she was very matter of fact. Trust that the doctors know what’s right. Trust that someone will tell you what to do next. Trust that you know your own body and what you can and cannot do. Ask for help, then simply trust it will all work out. It usually does.

From a 97-year-old fighter pilot who fought in the Korean War: Let regrets drop away and live to fight another day. He’s had multiple marriages, built and lost companies, been fired and fired at, and made some doozy mistakes, some that caused considerable pain and collateral damage. But each day is new and requires your best. He has lived long enough to love dozens of grandkids and give away more than what most people ever make. His bottom line, if you worry and fret and regret, you’ll make even more mistakes ahead. Look ahead, the ground never comes up from behind you.



From a 94-year-old whose son was killed in a car accident nearly 60 years ago: You can be both happy and sad. When she retold the story of how the police knocked on her door with the news that her son was dead, she started to cry. Even 60 years isn’t long enough to blunt such pain. She still thinks of him often and to this day sometimes finds it difficult to believe he’s gone. Such pain never leaves you. But she is still a happy person with countless joys and is still having such fun. If you live long enough, both will likely be true.

From a 90-year old who still played tennis: “Just one and one.” That is, one beer and one shot, every day. No more. No less. I daren’t say I recommend this one; however, it might also be the social aspect of drinking that matters. He also advised to be free with friendships. You’ll have many people come in and out of your life; be open to new ones all the time. Also sometimes let your friends win.

From a 100-year-old, I asked how he managed to get through the Great Depression, WWII, civil unrest of the 1950s, and the Vietnam War. His reply? “To be honest, I’ve never seen anything quite like this before.”

When there’s time, consider asking for advice from those elders who happen to have an appointment with you. Bring you wisdom, they will.

Dr. Benabio is director of Healthcare Transformation and chief of dermatology at Kaiser Permanente San Diego. The opinions expressed in this column are his own and do not represent those of Kaiser Permanente. Dr. Benabio is @Dermdoc on Twitter. Write to him at [email protected].

Publications
Topics
Sections

 

“When 900-years-old you reach, look as good you will not.” –Yoda

I’ve been on a roll lately: 100, 94, 90, 97, 94. These aren’t grades or even what I scratched on my scorecard for 18 holes (that’s more like 112), but rather patients I’ve seen.

Dr. Jeffrey Benabio

Our oldest-old have been in COVID-19 protection for the last couple of years and only now feel safe to come out again. Many have skin cancers. Some of them have many. I’m grateful that for all their health problems, basal cell carcinomas at least I can cure. And while I treat them, I get the benefit of hearing directly from our elders. I love asking them for general life advice. Here are a few things I learned.

From a 94-year-old woman who was just discharged from the hospital for sepsis: First, sepsis can sneak up from behind and jump you when you’re 94. She was sitting in a waiting room for a routine exam when she passed out and woke up in the ICU. She made it home and is back on her feet, literally. When I asked her how she made it though, she was very matter of fact. Trust that the doctors know what’s right. Trust that someone will tell you what to do next. Trust that you know your own body and what you can and cannot do. Ask for help, then simply trust it will all work out. It usually does.

From a 97-year-old fighter pilot who fought in the Korean War: Let regrets drop away and live to fight another day. He’s had multiple marriages, built and lost companies, been fired and fired at, and made some doozy mistakes, some that caused considerable pain and collateral damage. But each day is new and requires your best. He has lived long enough to love dozens of grandkids and give away more than what most people ever make. His bottom line, if you worry and fret and regret, you’ll make even more mistakes ahead. Look ahead, the ground never comes up from behind you.



From a 94-year-old whose son was killed in a car accident nearly 60 years ago: You can be both happy and sad. When she retold the story of how the police knocked on her door with the news that her son was dead, she started to cry. Even 60 years isn’t long enough to blunt such pain. She still thinks of him often and to this day sometimes finds it difficult to believe he’s gone. Such pain never leaves you. But she is still a happy person with countless joys and is still having such fun. If you live long enough, both will likely be true.

From a 90-year old who still played tennis: “Just one and one.” That is, one beer and one shot, every day. No more. No less. I daren’t say I recommend this one; however, it might also be the social aspect of drinking that matters. He also advised to be free with friendships. You’ll have many people come in and out of your life; be open to new ones all the time. Also sometimes let your friends win.

From a 100-year-old, I asked how he managed to get through the Great Depression, WWII, civil unrest of the 1950s, and the Vietnam War. His reply? “To be honest, I’ve never seen anything quite like this before.”

When there’s time, consider asking for advice from those elders who happen to have an appointment with you. Bring you wisdom, they will.

Dr. Benabio is director of Healthcare Transformation and chief of dermatology at Kaiser Permanente San Diego. The opinions expressed in this column are his own and do not represent those of Kaiser Permanente. Dr. Benabio is @Dermdoc on Twitter. Write to him at [email protected].

 

“When 900-years-old you reach, look as good you will not.” –Yoda

I’ve been on a roll lately: 100, 94, 90, 97, 94. These aren’t grades or even what I scratched on my scorecard for 18 holes (that’s more like 112), but rather patients I’ve seen.

Dr. Jeffrey Benabio

Our oldest-old have been in COVID-19 protection for the last couple of years and only now feel safe to come out again. Many have skin cancers. Some of them have many. I’m grateful that for all their health problems, basal cell carcinomas at least I can cure. And while I treat them, I get the benefit of hearing directly from our elders. I love asking them for general life advice. Here are a few things I learned.

From a 94-year-old woman who was just discharged from the hospital for sepsis: First, sepsis can sneak up from behind and jump you when you’re 94. She was sitting in a waiting room for a routine exam when she passed out and woke up in the ICU. She made it home and is back on her feet, literally. When I asked her how she made it though, she was very matter of fact. Trust that the doctors know what’s right. Trust that someone will tell you what to do next. Trust that you know your own body and what you can and cannot do. Ask for help, then simply trust it will all work out. It usually does.

From a 97-year-old fighter pilot who fought in the Korean War: Let regrets drop away and live to fight another day. He’s had multiple marriages, built and lost companies, been fired and fired at, and made some doozy mistakes, some that caused considerable pain and collateral damage. But each day is new and requires your best. He has lived long enough to love dozens of grandkids and give away more than what most people ever make. His bottom line, if you worry and fret and regret, you’ll make even more mistakes ahead. Look ahead, the ground never comes up from behind you.



From a 94-year-old whose son was killed in a car accident nearly 60 years ago: You can be both happy and sad. When she retold the story of how the police knocked on her door with the news that her son was dead, she started to cry. Even 60 years isn’t long enough to blunt such pain. She still thinks of him often and to this day sometimes finds it difficult to believe he’s gone. Such pain never leaves you. But she is still a happy person with countless joys and is still having such fun. If you live long enough, both will likely be true.

From a 90-year old who still played tennis: “Just one and one.” That is, one beer and one shot, every day. No more. No less. I daren’t say I recommend this one; however, it might also be the social aspect of drinking that matters. He also advised to be free with friendships. You’ll have many people come in and out of your life; be open to new ones all the time. Also sometimes let your friends win.

From a 100-year-old, I asked how he managed to get through the Great Depression, WWII, civil unrest of the 1950s, and the Vietnam War. His reply? “To be honest, I’ve never seen anything quite like this before.”

When there’s time, consider asking for advice from those elders who happen to have an appointment with you. Bring you wisdom, they will.

Dr. Benabio is director of Healthcare Transformation and chief of dermatology at Kaiser Permanente San Diego. The opinions expressed in this column are his own and do not represent those of Kaiser Permanente. Dr. Benabio is @Dermdoc on Twitter. Write to him at [email protected].

Publications
Publications
Topics
Article Type
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article

Surgery offers best chance in cancer but needs more ‘support’

Article Type
Changed
Wed, 11/17/2021 - 11:19

Surgery offers the best chance of a cure for patients with early cancer and is fundamental to cancer management, but it does not receive enough political and financial recognition, warns a European expert.

In addition, there are many obstacles to the delivery of optimal cancer surgery, says Domenico M. D’Ugo, MD, professor of surgery at the Catholic University of Rome – A. Gemelli Medical School, Rome, Italy.

Dr. D’Ugo, who is president of the European Society of Surgical Oncology (ESSO), calls for a range of measures to improve the quality of cancer surgery and patient access in Europe.

These measures include recognition of surgical oncology as a specialist discipline, greater support for surgical research and innovation, and a greater role for surgery in multidisciplinary care.

The demands were made in open letter that was published by ESSO on Nov. 9 to coincide with the society’s annual meeting, held in Lisbon, Portugal.

The theme of this year’s meeting was the future of cancer surgery in Europe – a future that “holds many promises to make surgical oncology safer, more efficient and minimally invasive,” writes Dr. D’Ugo.

However, ESSO needs the support of European leaders to bring the recommendations to life and, ultimately, to help provide high-quality cancer treatment, he adds. This is particularly important given the upcoming implementation of Europe’s Beating Cancer Plan.

The open letter is addressed to Stella Kyriakides, European commissioner for health and food safety, and Bartosz Arłukowicz, chair of the European Parliament Special Committee on Beating Cancer, among others.
 

Best chance of cure

“High-quality surgery remains the best chance to cure solid cancer when diagnosed early,” Dr. D’Ugo notes in his letter. It is also the most cost-effective treatment for the majority of nonmetastasized tumors, he writes.

In addition, surgery is “fundamental” to the prevention of cancer in patients with inherited susceptibility and to the diagnosis and staging of cancer, as well as to the treatment of metastatic disease, the preservation of quality of life, and the alleviation of cancer symptoms, he writes.

There is thus a substantial and steadily growing demand for surgical oncology.

It is estimated that approximately 80% of cancer patients will require surgical intervention at some point during the course of their disease, and 45 million surgical procedures will be needed worldwide by 2030.

Dr. D’Ugo says that at present, fewer than a quarter of cancer patients receive safe, affordable, or timely surgery.

It is time to give surgical oncology the political and financial attention it deserves, he argues. He outlines a four-point plan to achieve this.

The first point is to enhance recognition of surgical oncology as a specialist discipline through, for example, the global curriculum proposed by ESSO and the Society of Surgical Oncology in 2016.

At present, only eight countries in Europe recognize surgical oncology as a specialty, and the lack of harmonization is “causing disparities in training, qualifications and practices,” as well as in patient access, Dr. D’Ugo says.

Next is a call to support research and innovation. Despite recent advances, research in cancer surgery “remains highly underfunded in Europe when compared with pharmaceutical research,” he says.

Improved screening and early detection of cancer are the next key area, because when the disease is diagnosed at an early stage, curative surgery has “a greater chance to be successful.”

At present, screening programs in Europe address only colorectal, breast, and cervical cancers, and the uptake remains “low,” he writes.

Lastly, he emphasizes that surgery is “integral” to multidisciplinary care and that outcomes for patients are better in comprehensive cancer centers that support patients throughout the disease pathway.

Dr. D’Ugo suggests that surgical oncologists take on a “bigger role” in multidisciplinary care, and he calls for the certification and accreditation of cancer units to increase and unify standards of care across the region.

D’Ugo has disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Publications
Topics
Sections

Surgery offers the best chance of a cure for patients with early cancer and is fundamental to cancer management, but it does not receive enough political and financial recognition, warns a European expert.

In addition, there are many obstacles to the delivery of optimal cancer surgery, says Domenico M. D’Ugo, MD, professor of surgery at the Catholic University of Rome – A. Gemelli Medical School, Rome, Italy.

Dr. D’Ugo, who is president of the European Society of Surgical Oncology (ESSO), calls for a range of measures to improve the quality of cancer surgery and patient access in Europe.

These measures include recognition of surgical oncology as a specialist discipline, greater support for surgical research and innovation, and a greater role for surgery in multidisciplinary care.

The demands were made in open letter that was published by ESSO on Nov. 9 to coincide with the society’s annual meeting, held in Lisbon, Portugal.

The theme of this year’s meeting was the future of cancer surgery in Europe – a future that “holds many promises to make surgical oncology safer, more efficient and minimally invasive,” writes Dr. D’Ugo.

However, ESSO needs the support of European leaders to bring the recommendations to life and, ultimately, to help provide high-quality cancer treatment, he adds. This is particularly important given the upcoming implementation of Europe’s Beating Cancer Plan.

The open letter is addressed to Stella Kyriakides, European commissioner for health and food safety, and Bartosz Arłukowicz, chair of the European Parliament Special Committee on Beating Cancer, among others.
 

Best chance of cure

“High-quality surgery remains the best chance to cure solid cancer when diagnosed early,” Dr. D’Ugo notes in his letter. It is also the most cost-effective treatment for the majority of nonmetastasized tumors, he writes.

In addition, surgery is “fundamental” to the prevention of cancer in patients with inherited susceptibility and to the diagnosis and staging of cancer, as well as to the treatment of metastatic disease, the preservation of quality of life, and the alleviation of cancer symptoms, he writes.

There is thus a substantial and steadily growing demand for surgical oncology.

It is estimated that approximately 80% of cancer patients will require surgical intervention at some point during the course of their disease, and 45 million surgical procedures will be needed worldwide by 2030.

Dr. D’Ugo says that at present, fewer than a quarter of cancer patients receive safe, affordable, or timely surgery.

It is time to give surgical oncology the political and financial attention it deserves, he argues. He outlines a four-point plan to achieve this.

The first point is to enhance recognition of surgical oncology as a specialist discipline through, for example, the global curriculum proposed by ESSO and the Society of Surgical Oncology in 2016.

At present, only eight countries in Europe recognize surgical oncology as a specialty, and the lack of harmonization is “causing disparities in training, qualifications and practices,” as well as in patient access, Dr. D’Ugo says.

Next is a call to support research and innovation. Despite recent advances, research in cancer surgery “remains highly underfunded in Europe when compared with pharmaceutical research,” he says.

Improved screening and early detection of cancer are the next key area, because when the disease is diagnosed at an early stage, curative surgery has “a greater chance to be successful.”

At present, screening programs in Europe address only colorectal, breast, and cervical cancers, and the uptake remains “low,” he writes.

Lastly, he emphasizes that surgery is “integral” to multidisciplinary care and that outcomes for patients are better in comprehensive cancer centers that support patients throughout the disease pathway.

Dr. D’Ugo suggests that surgical oncologists take on a “bigger role” in multidisciplinary care, and he calls for the certification and accreditation of cancer units to increase and unify standards of care across the region.

D’Ugo has disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Surgery offers the best chance of a cure for patients with early cancer and is fundamental to cancer management, but it does not receive enough political and financial recognition, warns a European expert.

In addition, there are many obstacles to the delivery of optimal cancer surgery, says Domenico M. D’Ugo, MD, professor of surgery at the Catholic University of Rome – A. Gemelli Medical School, Rome, Italy.

Dr. D’Ugo, who is president of the European Society of Surgical Oncology (ESSO), calls for a range of measures to improve the quality of cancer surgery and patient access in Europe.

These measures include recognition of surgical oncology as a specialist discipline, greater support for surgical research and innovation, and a greater role for surgery in multidisciplinary care.

The demands were made in open letter that was published by ESSO on Nov. 9 to coincide with the society’s annual meeting, held in Lisbon, Portugal.

The theme of this year’s meeting was the future of cancer surgery in Europe – a future that “holds many promises to make surgical oncology safer, more efficient and minimally invasive,” writes Dr. D’Ugo.

However, ESSO needs the support of European leaders to bring the recommendations to life and, ultimately, to help provide high-quality cancer treatment, he adds. This is particularly important given the upcoming implementation of Europe’s Beating Cancer Plan.

The open letter is addressed to Stella Kyriakides, European commissioner for health and food safety, and Bartosz Arłukowicz, chair of the European Parliament Special Committee on Beating Cancer, among others.
 

Best chance of cure

“High-quality surgery remains the best chance to cure solid cancer when diagnosed early,” Dr. D’Ugo notes in his letter. It is also the most cost-effective treatment for the majority of nonmetastasized tumors, he writes.

In addition, surgery is “fundamental” to the prevention of cancer in patients with inherited susceptibility and to the diagnosis and staging of cancer, as well as to the treatment of metastatic disease, the preservation of quality of life, and the alleviation of cancer symptoms, he writes.

There is thus a substantial and steadily growing demand for surgical oncology.

It is estimated that approximately 80% of cancer patients will require surgical intervention at some point during the course of their disease, and 45 million surgical procedures will be needed worldwide by 2030.

Dr. D’Ugo says that at present, fewer than a quarter of cancer patients receive safe, affordable, or timely surgery.

It is time to give surgical oncology the political and financial attention it deserves, he argues. He outlines a four-point plan to achieve this.

The first point is to enhance recognition of surgical oncology as a specialist discipline through, for example, the global curriculum proposed by ESSO and the Society of Surgical Oncology in 2016.

At present, only eight countries in Europe recognize surgical oncology as a specialty, and the lack of harmonization is “causing disparities in training, qualifications and practices,” as well as in patient access, Dr. D’Ugo says.

Next is a call to support research and innovation. Despite recent advances, research in cancer surgery “remains highly underfunded in Europe when compared with pharmaceutical research,” he says.

Improved screening and early detection of cancer are the next key area, because when the disease is diagnosed at an early stage, curative surgery has “a greater chance to be successful.”

At present, screening programs in Europe address only colorectal, breast, and cervical cancers, and the uptake remains “low,” he writes.

Lastly, he emphasizes that surgery is “integral” to multidisciplinary care and that outcomes for patients are better in comprehensive cancer centers that support patients throughout the disease pathway.

Dr. D’Ugo suggests that surgical oncologists take on a “bigger role” in multidisciplinary care, and he calls for the certification and accreditation of cancer units to increase and unify standards of care across the region.

D’Ugo has disclosed no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Publications
Publications
Topics
Article Type
Sections
Disallow All Ads
Content Gating
No Gating (article Unlocked/Free)
Alternative CME
Disqus Comments
Default
Use ProPublica
Hide sidebar & use full width
render the right sidebar.
Conference Recap Checkbox
Not Conference Recap
Clinical Edge
Display the Slideshow in this Article
Medscape Article
Display survey writer
Reuters content
Disable Inline Native ads
WebMD Article