Edoxaban to be made available for NVAF

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Prescription medications

Photo courtesy of the CDC

The UK’s National Institute for Health and Care Excellence (NICE) has issued a final guidance recommending the oral anticoagulant edoxaban tosylate (Lixiana) as an option for preventing stroke and systemic embolism in adults with non-valvular atrial fibrillation (NVAF).

The patients must have one or more risk factors for stroke, including congestive heart failure, hypertension, diabetes, prior stroke or transient ischemic attack, and age of 75 years or older.

In the UK, such patients are generally treated with warfarin or the newer oral anticoagulants dabigatran, rivaroxaban, and apixaban.

NICE decided that edoxaban should be added to that list because data suggest the drug is a clinically and cost-effective treatment option for these patients.

Edoxaban should be available on the National Health Service within 3 months of the date NICE’s final guidance was issued, September 23.

NICE’s guidance says the decision about whether to start treatment with edoxaban should be made after an informed discussion between the clinician and the patient about the risks and benefits of edoxaban compared with warfarin, apixaban, dabigatran, and rivaroxaban.

For patients considering switching from warfarin, edoxaban’s potential benefits should be weighed against its potential risks, taking into account the patient’s level of international normalized ratio control.

Clinical effectiveness

NICE’s conclusion that edoxaban is clinically effective was based primarily on results of the ENGAGE AF-TIMI 48 trial. In this trial, researchers compared edoxaban and warfarin as prophylaxis for stroke or systemic embolism in patients with NVAF.

Results suggested edoxaban was at least non-inferior to warfarin with regard to efficacy, and edoxaban was associated with a significantly lower rate of major and fatal bleeding.

A committee advising NICE also reviewed a meta-analysis prepared by Daiichi Sankyo Co., Ltd., the company developing edoxaban.

The goal of the meta-analysis was to compare edoxaban with rivaroxaban, apixaban, and dabigatran. The analysis included 4 trials: ENGAGE AF-TIMI 48, ARISTOTLE (apixaban), RE-LY (dabigatran), and ROCKET-AF (rivaroxaban). All 4 trials had a warfarin comparator arm.

The results of the meta-analysis indicated that, for the composite endpoint of stroke and systemic embolism, efficacy was similar for high-dose edoxaban and the other new oral anticoagulants.

However, edoxaban significantly reduced major bleeding risk by 24% compared to rivaroxaban, 28% compared to dabigatran at 150 mg, and 17% compared to dabigatran at 110 mg. Major bleeding rates were similar for high-dose edoxaban and apixaban.

The committee advising NICE said these results should be interpreted with caution, but edoxaban is unlikely to be different from rivaroxaban, apixaban, and dabigatran in clinical practice.

Cost-effectiveness

Edoxaban costs £58.80 for a 28-tablet pack (60 mg or 30 mg), and the daily cost of treatment is £2.10 (excluding value-added tax). However, costs may vary in different settings because of negotiated procurement discounts.

The committee advising NICE analyzed cost information and concluded that edoxaban is cost-effective compared with warfarin, but there is insufficient evidence to distinguish between the clinical and cost-effectiveness of edoxaban and the other new oral anticoagulants.

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Prescription medications

Photo courtesy of the CDC

The UK’s National Institute for Health and Care Excellence (NICE) has issued a final guidance recommending the oral anticoagulant edoxaban tosylate (Lixiana) as an option for preventing stroke and systemic embolism in adults with non-valvular atrial fibrillation (NVAF).

The patients must have one or more risk factors for stroke, including congestive heart failure, hypertension, diabetes, prior stroke or transient ischemic attack, and age of 75 years or older.

In the UK, such patients are generally treated with warfarin or the newer oral anticoagulants dabigatran, rivaroxaban, and apixaban.

NICE decided that edoxaban should be added to that list because data suggest the drug is a clinically and cost-effective treatment option for these patients.

Edoxaban should be available on the National Health Service within 3 months of the date NICE’s final guidance was issued, September 23.

NICE’s guidance says the decision about whether to start treatment with edoxaban should be made after an informed discussion between the clinician and the patient about the risks and benefits of edoxaban compared with warfarin, apixaban, dabigatran, and rivaroxaban.

For patients considering switching from warfarin, edoxaban’s potential benefits should be weighed against its potential risks, taking into account the patient’s level of international normalized ratio control.

Clinical effectiveness

NICE’s conclusion that edoxaban is clinically effective was based primarily on results of the ENGAGE AF-TIMI 48 trial. In this trial, researchers compared edoxaban and warfarin as prophylaxis for stroke or systemic embolism in patients with NVAF.

Results suggested edoxaban was at least non-inferior to warfarin with regard to efficacy, and edoxaban was associated with a significantly lower rate of major and fatal bleeding.

A committee advising NICE also reviewed a meta-analysis prepared by Daiichi Sankyo Co., Ltd., the company developing edoxaban.

The goal of the meta-analysis was to compare edoxaban with rivaroxaban, apixaban, and dabigatran. The analysis included 4 trials: ENGAGE AF-TIMI 48, ARISTOTLE (apixaban), RE-LY (dabigatran), and ROCKET-AF (rivaroxaban). All 4 trials had a warfarin comparator arm.

The results of the meta-analysis indicated that, for the composite endpoint of stroke and systemic embolism, efficacy was similar for high-dose edoxaban and the other new oral anticoagulants.

However, edoxaban significantly reduced major bleeding risk by 24% compared to rivaroxaban, 28% compared to dabigatran at 150 mg, and 17% compared to dabigatran at 110 mg. Major bleeding rates were similar for high-dose edoxaban and apixaban.

The committee advising NICE said these results should be interpreted with caution, but edoxaban is unlikely to be different from rivaroxaban, apixaban, and dabigatran in clinical practice.

Cost-effectiveness

Edoxaban costs £58.80 for a 28-tablet pack (60 mg or 30 mg), and the daily cost of treatment is £2.10 (excluding value-added tax). However, costs may vary in different settings because of negotiated procurement discounts.

The committee advising NICE analyzed cost information and concluded that edoxaban is cost-effective compared with warfarin, but there is insufficient evidence to distinguish between the clinical and cost-effectiveness of edoxaban and the other new oral anticoagulants.

Prescription medications

Photo courtesy of the CDC

The UK’s National Institute for Health and Care Excellence (NICE) has issued a final guidance recommending the oral anticoagulant edoxaban tosylate (Lixiana) as an option for preventing stroke and systemic embolism in adults with non-valvular atrial fibrillation (NVAF).

The patients must have one or more risk factors for stroke, including congestive heart failure, hypertension, diabetes, prior stroke or transient ischemic attack, and age of 75 years or older.

In the UK, such patients are generally treated with warfarin or the newer oral anticoagulants dabigatran, rivaroxaban, and apixaban.

NICE decided that edoxaban should be added to that list because data suggest the drug is a clinically and cost-effective treatment option for these patients.

Edoxaban should be available on the National Health Service within 3 months of the date NICE’s final guidance was issued, September 23.

NICE’s guidance says the decision about whether to start treatment with edoxaban should be made after an informed discussion between the clinician and the patient about the risks and benefits of edoxaban compared with warfarin, apixaban, dabigatran, and rivaroxaban.

For patients considering switching from warfarin, edoxaban’s potential benefits should be weighed against its potential risks, taking into account the patient’s level of international normalized ratio control.

Clinical effectiveness

NICE’s conclusion that edoxaban is clinically effective was based primarily on results of the ENGAGE AF-TIMI 48 trial. In this trial, researchers compared edoxaban and warfarin as prophylaxis for stroke or systemic embolism in patients with NVAF.

Results suggested edoxaban was at least non-inferior to warfarin with regard to efficacy, and edoxaban was associated with a significantly lower rate of major and fatal bleeding.

A committee advising NICE also reviewed a meta-analysis prepared by Daiichi Sankyo Co., Ltd., the company developing edoxaban.

The goal of the meta-analysis was to compare edoxaban with rivaroxaban, apixaban, and dabigatran. The analysis included 4 trials: ENGAGE AF-TIMI 48, ARISTOTLE (apixaban), RE-LY (dabigatran), and ROCKET-AF (rivaroxaban). All 4 trials had a warfarin comparator arm.

The results of the meta-analysis indicated that, for the composite endpoint of stroke and systemic embolism, efficacy was similar for high-dose edoxaban and the other new oral anticoagulants.

However, edoxaban significantly reduced major bleeding risk by 24% compared to rivaroxaban, 28% compared to dabigatran at 150 mg, and 17% compared to dabigatran at 110 mg. Major bleeding rates were similar for high-dose edoxaban and apixaban.

The committee advising NICE said these results should be interpreted with caution, but edoxaban is unlikely to be different from rivaroxaban, apixaban, and dabigatran in clinical practice.

Cost-effectiveness

Edoxaban costs £58.80 for a 28-tablet pack (60 mg or 30 mg), and the daily cost of treatment is £2.10 (excluding value-added tax). However, costs may vary in different settings because of negotiated procurement discounts.

The committee advising NICE analyzed cost information and concluded that edoxaban is cost-effective compared with warfarin, but there is insufficient evidence to distinguish between the clinical and cost-effectiveness of edoxaban and the other new oral anticoagulants.

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Childhood cancer increases material hardship

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Childhood cancer increases material hardship

Young cancer patient

Photo by Bill Branson

Results of a small study reveal the material hardships families experience when a child is undergoing cancer treatment.

Researchers surveyed 99 families of children with cancer.

Six months after the child’s diagnosis, 29% of the families reported having at least one household material hardship, such as food, housing, or energy insecurity.

Twenty percent of the families had reported having such hardships at the time of the child’s diagnosis.

Kira Bona, MD, of Dana-Farber/Boston Children’s Cancer and Blood Disorders Center in Massachusetts, and her colleagues reported results from this survey in Pediatric Blood & Cancer.

The researchers surveyed 99 families of pediatric cancer patients treated at Dana-Farber/Boston Children’s, first within a month of diagnosis and then 6 months later.

At diagnosis, 20% of the families were low-income, which was defined as 200% of the federal poverty level. Six months later, an additional 12% suffered income losses that pushed them into the low-income group.

At 6 months, 25% of the families said they had lost more than 40% of their household income due to treatment-related work disruptions. A total of 56% of adults who supported their families experienced a disruption of their work.

This included 15% of parents who either quit their jobs or were laid off as a result of their child’s illness, as well as 37% of respondents who cut their hours or took a leave of absence. Thirty-four percent of these individuals were paid during their leave.

At 6 months, 29% of families said they had at least one material hardship. Twenty percent reported food insecurity, 17% reported energy insecurity, and 8% reported housing insecurity.*

These findings surprised researchers, who said they expected lower levels of need at their center because it provides psychosocial support for patients and has resource specialists to help families facing financial difficulties.

“What it says is that even at a well-resourced, large referral center, about a third of families are reporting food, housing, or energy insecurity 6 months into treatment,” Dr Bona said. “If anything, the numbers in our study are an underestimate of what might be seen at less well-resourced institutions, which was somewhat surprising to us.”

By focusing on specific material hardships, which can be addressed through governmental or philanthropic support, the researchers hope they have identified variables that are easier for clinicians to ameliorate than overall income.

Dr Bona said subsequent research will examine whether material hardship has the same effect on patient outcomes as low-income status.

“If household material hardship is linked to poorer outcomes in pediatric oncology, just like income is, then we can design interventions to fix food, housing, and energy insecurity,” she said. “It’s not clear what you do about income in a clinical setting.”

*Definitions for household material hardships were as follows.

Food insecurity was measured via the US Household Food Security Survey Module: Six-Item Short Form, which includes questions to asses if respondents:

  • sometimes/often do not have enough food to eat
  • sometimes/often cannot afford to eat balanced meals
  • sometimes/often worry about having enough money to buy food, etc.

Families met the definition for housing insecurity if they reported any of the following:

  • crowding (defined as >2 people per bedroom in the home)
  • multiple moves (>1 move in the prior year)
  • doubling up (having to live with other people, even temporarily, because of financial difficulties in the past 6 months).

Families met the definition for energy insecurity if, in the prior 6 months, they had experienced any of the following:

 

 

  • received a letter threatening to shut off the gas/electricity/oil to their house because they had not paid the bills
  • had the gas/electric/oil company shut off electricity or refused to deliver oil/gas because they had not paid the bills
  • had any days that their home was not heated/cooled because they couldn’t pay the bills
  • had ever used a cooking stove to heat their home because they couldn’t pay the bills.
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Young cancer patient

Photo by Bill Branson

Results of a small study reveal the material hardships families experience when a child is undergoing cancer treatment.

Researchers surveyed 99 families of children with cancer.

Six months after the child’s diagnosis, 29% of the families reported having at least one household material hardship, such as food, housing, or energy insecurity.

Twenty percent of the families had reported having such hardships at the time of the child’s diagnosis.

Kira Bona, MD, of Dana-Farber/Boston Children’s Cancer and Blood Disorders Center in Massachusetts, and her colleagues reported results from this survey in Pediatric Blood & Cancer.

The researchers surveyed 99 families of pediatric cancer patients treated at Dana-Farber/Boston Children’s, first within a month of diagnosis and then 6 months later.

At diagnosis, 20% of the families were low-income, which was defined as 200% of the federal poverty level. Six months later, an additional 12% suffered income losses that pushed them into the low-income group.

At 6 months, 25% of the families said they had lost more than 40% of their household income due to treatment-related work disruptions. A total of 56% of adults who supported their families experienced a disruption of their work.

This included 15% of parents who either quit their jobs or were laid off as a result of their child’s illness, as well as 37% of respondents who cut their hours or took a leave of absence. Thirty-four percent of these individuals were paid during their leave.

At 6 months, 29% of families said they had at least one material hardship. Twenty percent reported food insecurity, 17% reported energy insecurity, and 8% reported housing insecurity.*

These findings surprised researchers, who said they expected lower levels of need at their center because it provides psychosocial support for patients and has resource specialists to help families facing financial difficulties.

“What it says is that even at a well-resourced, large referral center, about a third of families are reporting food, housing, or energy insecurity 6 months into treatment,” Dr Bona said. “If anything, the numbers in our study are an underestimate of what might be seen at less well-resourced institutions, which was somewhat surprising to us.”

By focusing on specific material hardships, which can be addressed through governmental or philanthropic support, the researchers hope they have identified variables that are easier for clinicians to ameliorate than overall income.

Dr Bona said subsequent research will examine whether material hardship has the same effect on patient outcomes as low-income status.

“If household material hardship is linked to poorer outcomes in pediatric oncology, just like income is, then we can design interventions to fix food, housing, and energy insecurity,” she said. “It’s not clear what you do about income in a clinical setting.”

*Definitions for household material hardships were as follows.

Food insecurity was measured via the US Household Food Security Survey Module: Six-Item Short Form, which includes questions to asses if respondents:

  • sometimes/often do not have enough food to eat
  • sometimes/often cannot afford to eat balanced meals
  • sometimes/often worry about having enough money to buy food, etc.

Families met the definition for housing insecurity if they reported any of the following:

  • crowding (defined as >2 people per bedroom in the home)
  • multiple moves (>1 move in the prior year)
  • doubling up (having to live with other people, even temporarily, because of financial difficulties in the past 6 months).

Families met the definition for energy insecurity if, in the prior 6 months, they had experienced any of the following:

 

 

  • received a letter threatening to shut off the gas/electricity/oil to their house because they had not paid the bills
  • had the gas/electric/oil company shut off electricity or refused to deliver oil/gas because they had not paid the bills
  • had any days that their home was not heated/cooled because they couldn’t pay the bills
  • had ever used a cooking stove to heat their home because they couldn’t pay the bills.

Young cancer patient

Photo by Bill Branson

Results of a small study reveal the material hardships families experience when a child is undergoing cancer treatment.

Researchers surveyed 99 families of children with cancer.

Six months after the child’s diagnosis, 29% of the families reported having at least one household material hardship, such as food, housing, or energy insecurity.

Twenty percent of the families had reported having such hardships at the time of the child’s diagnosis.

Kira Bona, MD, of Dana-Farber/Boston Children’s Cancer and Blood Disorders Center in Massachusetts, and her colleagues reported results from this survey in Pediatric Blood & Cancer.

The researchers surveyed 99 families of pediatric cancer patients treated at Dana-Farber/Boston Children’s, first within a month of diagnosis and then 6 months later.

At diagnosis, 20% of the families were low-income, which was defined as 200% of the federal poverty level. Six months later, an additional 12% suffered income losses that pushed them into the low-income group.

At 6 months, 25% of the families said they had lost more than 40% of their household income due to treatment-related work disruptions. A total of 56% of adults who supported their families experienced a disruption of their work.

This included 15% of parents who either quit their jobs or were laid off as a result of their child’s illness, as well as 37% of respondents who cut their hours or took a leave of absence. Thirty-four percent of these individuals were paid during their leave.

At 6 months, 29% of families said they had at least one material hardship. Twenty percent reported food insecurity, 17% reported energy insecurity, and 8% reported housing insecurity.*

These findings surprised researchers, who said they expected lower levels of need at their center because it provides psychosocial support for patients and has resource specialists to help families facing financial difficulties.

“What it says is that even at a well-resourced, large referral center, about a third of families are reporting food, housing, or energy insecurity 6 months into treatment,” Dr Bona said. “If anything, the numbers in our study are an underestimate of what might be seen at less well-resourced institutions, which was somewhat surprising to us.”

By focusing on specific material hardships, which can be addressed through governmental or philanthropic support, the researchers hope they have identified variables that are easier for clinicians to ameliorate than overall income.

Dr Bona said subsequent research will examine whether material hardship has the same effect on patient outcomes as low-income status.

“If household material hardship is linked to poorer outcomes in pediatric oncology, just like income is, then we can design interventions to fix food, housing, and energy insecurity,” she said. “It’s not clear what you do about income in a clinical setting.”

*Definitions for household material hardships were as follows.

Food insecurity was measured via the US Household Food Security Survey Module: Six-Item Short Form, which includes questions to asses if respondents:

  • sometimes/often do not have enough food to eat
  • sometimes/often cannot afford to eat balanced meals
  • sometimes/often worry about having enough money to buy food, etc.

Families met the definition for housing insecurity if they reported any of the following:

  • crowding (defined as >2 people per bedroom in the home)
  • multiple moves (>1 move in the prior year)
  • doubling up (having to live with other people, even temporarily, because of financial difficulties in the past 6 months).

Families met the definition for energy insecurity if, in the prior 6 months, they had experienced any of the following:

 

 

  • received a letter threatening to shut off the gas/electricity/oil to their house because they had not paid the bills
  • had the gas/electric/oil company shut off electricity or refused to deliver oil/gas because they had not paid the bills
  • had any days that their home was not heated/cooled because they couldn’t pay the bills
  • had ever used a cooking stove to heat their home because they couldn’t pay the bills.
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Patient‐Oriented Discharge Instructions

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Co‐creating patient‐oriented discharge instructions with patients, caregivers, and healthcare providers

The period following discharge from the hospital is a vulnerable time for patients that can result in adverse events including avoidable emergency room visits and rehospitalizations.[1] Approximately 8.5% of all visits to the hospital result in readmissions within 30 days.[2] Poor communication of discharge information is even more pronounced for patients with language barriers or limited health literacy, particularly in ethnically diverse communities where up to 60% may speak languages other than English or French at home.[3] Defined as the degree to which individuals can obtain, process, and understand basic health information and services needed to make appropriate health decisions,[4] an estimated 55% of Canadians between the ages of 16 and 65 years have limited health literacy, and only 12% of those above the age of 65 years have adequate health literacy skills.[5]

Previous authors have demonstrated the benefits of using multiple interventions, including nonverbal communication, when designing for individuals with limited literacy.[6] Visual aids have been shown to be particularly useful to non‐English speakers and patients with limited health literacy.[7] In particular, research on medication tools for patients with limited health literacy has shown that illustrated schedules can be helpful.[8]

Typical discharge summaries are documents that are transmitted from the hospital to outpatient physicians to coordinate clinical care. The form codesigned by our team is intended to complement the summary and facilitate patient education and to provide instructions for patients to refer to after discharge.

PURPOSE

The objective of this work was to design instructions for patients going home from the hospital with relevant and actionable information, presented in an easily understandable and usable form.

METHODS

We used participatory action methodology,[9] an approach to research that encourages researchers and those who will benefit from the research to work together across all phases of research, by engaging end‐users of patient instructions from the beginning of the project. Mixed methods were used to understand needs, develop content and design, and iteratively evaluate and refine the instructions. An advisory team of patients, physicians, pharmacists, designers, researchers, and patient‐education professionals gave input into study design and execution.

Although formal inclusion and exclusion criteria were not used, care was taken to engage patients with language barriers, limited health literacy, and mental health issues.

Key methods used are listed below. See Figure 1 for a timeline of the process used to develop the instructions.

Figure 1
Project timeline. Abbreviations: TC LHIN, Toronto Central Local Health Integration Network.

Understanding the Current Patient Experience of Discharge

Key methods included: (1) Patient experience mapping[10]a process of capturing and communicating complex patient interactions and their experience in the system by having interdisciplinary groups create a map of the patient experience and feelings through a mock discharge scenario). (2) A cultural probe[11]patients selected as having minor language barriers or limited health literacy were given a journal and disposable camera to document their time at home after discharge. Patients were asked how confident they were in filling out medical forms by themselves as a way of screening for probable health literacy limitations.[12]

Content and Design

The instructions were developed using a codesign methodology,[13] where researchers and the end‐users of a product design the product together. In our case, teams of patients, healthcare providers, and designers worked together to create prototypes using hypothetical patient cases.

Iteratively Evaluating and Refining the Design

The prototype went through 3 design iterations (Figure 1). Feedback from patients, caregivers, and providers using focus groups, interviews, and surveys was used to refine the content and design and validate symbols for each section.

Key methods included: (1) Two focus groups with hard to reach patient groups that would not participate in interviews or surveys. One was with Cantonese‐speaking patients, facilitated by an interpreter. Cantonese is a common language in Toronto, yet the language barrier typically precludes the patients from participating in research. The other group was with patients admitted to the psychiatry unit of the hospital, another group that typically is excluded from research studies. (2) Usability test of a paper‐based version of the instructions across 3 large academic hospitals; physicians and residents in general internal medicine units filled out the instructions by hand for each patient discharged.

RESULTS

Forty‐four patients, 12 caregivers, 30 healthcare personnel, 7 patient‐education professionals, and 8 designers were involved in the design (see Figure 2 for an image of the template) based on best practices in information design, graphic design, and patient education.

Figure 2
Template.

Understanding the Patient Experience of Discharge

The analysis of the patient experience at discharge revealed the following themes:

(1) Difficulties in understanding and retaining verbal instructions in the immediate postdischarge period because of exhaustion. (2) Patient concerns at discharge including feeling unprepared to leave the hospital. (3) Family members and caregivers play a large role in a patient's life, which becomes more significant in the postdischarge phase. This was made clear through journal entries from patients using cultural probes.

Content and Design

Patients wanted to know information that was relevant and actionable. They consistently mentioned the following information as being most important: (1) medication instructions, (2) follow‐up appointments with phone numbers, (3) normal expected symptoms, danger signs, and what to do, (4) lifestyle changes and when to resume activities, and (5) information and resources to have handy.

Advice from patient‐education specialists on the team, as well as the feedback from patients and caregivers was that instructions should be written in language at a fifth‐ or sixth‐grade level and be directed to the patient, use large fonts, include illustrations of medication schedules, and headings that are meaningful to the patient. In addition, patients wanted white space to take notes, an activity that has been shown to improve comprehension and recall.[14]

Patients felt having symbols for each section in the instructions helped make the form more readable by differentiating sections and providing a recognizable image for patients who could read English.

Iteratively Evaluating and Refining the Design

The results of the usability test data and surveys of the final version of the template showed that patients and providers felt that they would benefit from using the instructions. Of the patients and providers, 94.8% of patients and 75% of providers said that the instructions would be helpful to have when discharged from the hospital. Physicians filling out the instructions by hand took an average of 9 minutes to fill out the form.

DISCUSSION

This initiative is an example of engaging patients and caregivers as active partners in the healthcare system. Patients and caregivers were engaged as codesigners of the form from the outset and continuously throughout.

The instructions can be given to patients and caregivers at discharge as both a teaching tool and a reference that can be reviewed when at home. Process considerations are very important. As family and caregivers play an instrumental role in postdischarge care, the instructions should be given whenever possible in the presence of family. The form is a simple addition to any discharge process. It can be filled out by a single provider, a multidisciplinary team, or even the patient while undergoing discharge teaching. The time and resources to fill out the instructions will vary depending on the discharge process in place. Good discharge practices,[15] such as engaging the patient in the conversation and teach back, should be followed.

The form has been licensed as creative commons, so that any healthcare organization can use and adapt the materials to meet the needs of their patients.

The development of the form is only the first step in a larger project. Almost all of the study participants involved in the initiative were from the general internal medicine wards in downtown Toronto. We do not know yet if the results can be generalized to different patient and provider populations.

The instructions are currently being implemented in 8 hospitals throughout Toronto, spanning rehabilitation, acute care, surgery, and pediatrics. The form appears to have been appropriate and generalizable to all of these settings, but results from this multisite implementation on patient and provider experience or health outcomes are not available yet. Anticipated barriers include determining who has the responsibility for filling out the instructions and validating the accuracy of the medication list.

Discharge instructions serve many purposes. Though previous authors have developed checklists to ensure critical discharge information is included in discharge teaching, the creation of a patient‐oriented form, codesigned with patients and caregivers to provide the information that patients explicitly want at discharge, has been lacking. Using participatory action research, mixed methods, and codesign methodology, and including hard‐to‐reach patient groups was helpful in creating a design that will provide patients with key information at discharge in an easy‐to‐understand format.

Acknowledgements

The authors acknowledge the financial support and guidance of the Toronto Central Local Health Integration Network. The project was advised by a number of individuals, namely: Cynthia Damba, Michelle Ransom, Paolo Korre, Irene Chong, Dawn Lim, Helen Kang, Derek Leong, Elizabeth Abraham, Elke Ruthig, Grace Eagan, Vivian Lo, Rachel Solomon, Kendra Delicaet, Sara Ahmadi, and Jess Leung.

Disclosures: The funding provided by the Toronto Central Local Health Integration Network that supported much of the work contained in this article also paid for a portion of the salaries of Shoshana Hahn‐Goldberg, Tai Huynh, and Najla Zahr. There are no other conflicts of interest to report.

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References
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  2. Jack BW, Chetty VK, Anthony D, et al. A reengineered hospital discharge program to decrease rehospitalization: a randomized trial. Ann Inter Med. 2009;150(3):178187.
  3. Statistics Canada. Visual census. 2011 census. Ottawa. Available at: http://www12.statcan.gc.ca/census‐recensement/index‐eng.cfm. Accessed September 19, 2014.
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  14. Mueller P, Oppenheimer D. The pen is mightier that the keyboard: advantages of longhand over laptop note taking. Psychol Sci. 2014;25(6):11591168.
  15. Soong C, Daub S, Lee J, et al. Development of a checklist of safe discharge practices for hospital patients. J Hosp Med. 2013;8:444449.
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The period following discharge from the hospital is a vulnerable time for patients that can result in adverse events including avoidable emergency room visits and rehospitalizations.[1] Approximately 8.5% of all visits to the hospital result in readmissions within 30 days.[2] Poor communication of discharge information is even more pronounced for patients with language barriers or limited health literacy, particularly in ethnically diverse communities where up to 60% may speak languages other than English or French at home.[3] Defined as the degree to which individuals can obtain, process, and understand basic health information and services needed to make appropriate health decisions,[4] an estimated 55% of Canadians between the ages of 16 and 65 years have limited health literacy, and only 12% of those above the age of 65 years have adequate health literacy skills.[5]

Previous authors have demonstrated the benefits of using multiple interventions, including nonverbal communication, when designing for individuals with limited literacy.[6] Visual aids have been shown to be particularly useful to non‐English speakers and patients with limited health literacy.[7] In particular, research on medication tools for patients with limited health literacy has shown that illustrated schedules can be helpful.[8]

Typical discharge summaries are documents that are transmitted from the hospital to outpatient physicians to coordinate clinical care. The form codesigned by our team is intended to complement the summary and facilitate patient education and to provide instructions for patients to refer to after discharge.

PURPOSE

The objective of this work was to design instructions for patients going home from the hospital with relevant and actionable information, presented in an easily understandable and usable form.

METHODS

We used participatory action methodology,[9] an approach to research that encourages researchers and those who will benefit from the research to work together across all phases of research, by engaging end‐users of patient instructions from the beginning of the project. Mixed methods were used to understand needs, develop content and design, and iteratively evaluate and refine the instructions. An advisory team of patients, physicians, pharmacists, designers, researchers, and patient‐education professionals gave input into study design and execution.

Although formal inclusion and exclusion criteria were not used, care was taken to engage patients with language barriers, limited health literacy, and mental health issues.

Key methods used are listed below. See Figure 1 for a timeline of the process used to develop the instructions.

Figure 1
Project timeline. Abbreviations: TC LHIN, Toronto Central Local Health Integration Network.

Understanding the Current Patient Experience of Discharge

Key methods included: (1) Patient experience mapping[10]a process of capturing and communicating complex patient interactions and their experience in the system by having interdisciplinary groups create a map of the patient experience and feelings through a mock discharge scenario). (2) A cultural probe[11]patients selected as having minor language barriers or limited health literacy were given a journal and disposable camera to document their time at home after discharge. Patients were asked how confident they were in filling out medical forms by themselves as a way of screening for probable health literacy limitations.[12]

Content and Design

The instructions were developed using a codesign methodology,[13] where researchers and the end‐users of a product design the product together. In our case, teams of patients, healthcare providers, and designers worked together to create prototypes using hypothetical patient cases.

Iteratively Evaluating and Refining the Design

The prototype went through 3 design iterations (Figure 1). Feedback from patients, caregivers, and providers using focus groups, interviews, and surveys was used to refine the content and design and validate symbols for each section.

Key methods included: (1) Two focus groups with hard to reach patient groups that would not participate in interviews or surveys. One was with Cantonese‐speaking patients, facilitated by an interpreter. Cantonese is a common language in Toronto, yet the language barrier typically precludes the patients from participating in research. The other group was with patients admitted to the psychiatry unit of the hospital, another group that typically is excluded from research studies. (2) Usability test of a paper‐based version of the instructions across 3 large academic hospitals; physicians and residents in general internal medicine units filled out the instructions by hand for each patient discharged.

RESULTS

Forty‐four patients, 12 caregivers, 30 healthcare personnel, 7 patient‐education professionals, and 8 designers were involved in the design (see Figure 2 for an image of the template) based on best practices in information design, graphic design, and patient education.

Figure 2
Template.

Understanding the Patient Experience of Discharge

The analysis of the patient experience at discharge revealed the following themes:

(1) Difficulties in understanding and retaining verbal instructions in the immediate postdischarge period because of exhaustion. (2) Patient concerns at discharge including feeling unprepared to leave the hospital. (3) Family members and caregivers play a large role in a patient's life, which becomes more significant in the postdischarge phase. This was made clear through journal entries from patients using cultural probes.

Content and Design

Patients wanted to know information that was relevant and actionable. They consistently mentioned the following information as being most important: (1) medication instructions, (2) follow‐up appointments with phone numbers, (3) normal expected symptoms, danger signs, and what to do, (4) lifestyle changes and when to resume activities, and (5) information and resources to have handy.

Advice from patient‐education specialists on the team, as well as the feedback from patients and caregivers was that instructions should be written in language at a fifth‐ or sixth‐grade level and be directed to the patient, use large fonts, include illustrations of medication schedules, and headings that are meaningful to the patient. In addition, patients wanted white space to take notes, an activity that has been shown to improve comprehension and recall.[14]

Patients felt having symbols for each section in the instructions helped make the form more readable by differentiating sections and providing a recognizable image for patients who could read English.

Iteratively Evaluating and Refining the Design

The results of the usability test data and surveys of the final version of the template showed that patients and providers felt that they would benefit from using the instructions. Of the patients and providers, 94.8% of patients and 75% of providers said that the instructions would be helpful to have when discharged from the hospital. Physicians filling out the instructions by hand took an average of 9 minutes to fill out the form.

DISCUSSION

This initiative is an example of engaging patients and caregivers as active partners in the healthcare system. Patients and caregivers were engaged as codesigners of the form from the outset and continuously throughout.

The instructions can be given to patients and caregivers at discharge as both a teaching tool and a reference that can be reviewed when at home. Process considerations are very important. As family and caregivers play an instrumental role in postdischarge care, the instructions should be given whenever possible in the presence of family. The form is a simple addition to any discharge process. It can be filled out by a single provider, a multidisciplinary team, or even the patient while undergoing discharge teaching. The time and resources to fill out the instructions will vary depending on the discharge process in place. Good discharge practices,[15] such as engaging the patient in the conversation and teach back, should be followed.

The form has been licensed as creative commons, so that any healthcare organization can use and adapt the materials to meet the needs of their patients.

The development of the form is only the first step in a larger project. Almost all of the study participants involved in the initiative were from the general internal medicine wards in downtown Toronto. We do not know yet if the results can be generalized to different patient and provider populations.

The instructions are currently being implemented in 8 hospitals throughout Toronto, spanning rehabilitation, acute care, surgery, and pediatrics. The form appears to have been appropriate and generalizable to all of these settings, but results from this multisite implementation on patient and provider experience or health outcomes are not available yet. Anticipated barriers include determining who has the responsibility for filling out the instructions and validating the accuracy of the medication list.

Discharge instructions serve many purposes. Though previous authors have developed checklists to ensure critical discharge information is included in discharge teaching, the creation of a patient‐oriented form, codesigned with patients and caregivers to provide the information that patients explicitly want at discharge, has been lacking. Using participatory action research, mixed methods, and codesign methodology, and including hard‐to‐reach patient groups was helpful in creating a design that will provide patients with key information at discharge in an easy‐to‐understand format.

Acknowledgements

The authors acknowledge the financial support and guidance of the Toronto Central Local Health Integration Network. The project was advised by a number of individuals, namely: Cynthia Damba, Michelle Ransom, Paolo Korre, Irene Chong, Dawn Lim, Helen Kang, Derek Leong, Elizabeth Abraham, Elke Ruthig, Grace Eagan, Vivian Lo, Rachel Solomon, Kendra Delicaet, Sara Ahmadi, and Jess Leung.

Disclosures: The funding provided by the Toronto Central Local Health Integration Network that supported much of the work contained in this article also paid for a portion of the salaries of Shoshana Hahn‐Goldberg, Tai Huynh, and Najla Zahr. There are no other conflicts of interest to report.

The period following discharge from the hospital is a vulnerable time for patients that can result in adverse events including avoidable emergency room visits and rehospitalizations.[1] Approximately 8.5% of all visits to the hospital result in readmissions within 30 days.[2] Poor communication of discharge information is even more pronounced for patients with language barriers or limited health literacy, particularly in ethnically diverse communities where up to 60% may speak languages other than English or French at home.[3] Defined as the degree to which individuals can obtain, process, and understand basic health information and services needed to make appropriate health decisions,[4] an estimated 55% of Canadians between the ages of 16 and 65 years have limited health literacy, and only 12% of those above the age of 65 years have adequate health literacy skills.[5]

Previous authors have demonstrated the benefits of using multiple interventions, including nonverbal communication, when designing for individuals with limited literacy.[6] Visual aids have been shown to be particularly useful to non‐English speakers and patients with limited health literacy.[7] In particular, research on medication tools for patients with limited health literacy has shown that illustrated schedules can be helpful.[8]

Typical discharge summaries are documents that are transmitted from the hospital to outpatient physicians to coordinate clinical care. The form codesigned by our team is intended to complement the summary and facilitate patient education and to provide instructions for patients to refer to after discharge.

PURPOSE

The objective of this work was to design instructions for patients going home from the hospital with relevant and actionable information, presented in an easily understandable and usable form.

METHODS

We used participatory action methodology,[9] an approach to research that encourages researchers and those who will benefit from the research to work together across all phases of research, by engaging end‐users of patient instructions from the beginning of the project. Mixed methods were used to understand needs, develop content and design, and iteratively evaluate and refine the instructions. An advisory team of patients, physicians, pharmacists, designers, researchers, and patient‐education professionals gave input into study design and execution.

Although formal inclusion and exclusion criteria were not used, care was taken to engage patients with language barriers, limited health literacy, and mental health issues.

Key methods used are listed below. See Figure 1 for a timeline of the process used to develop the instructions.

Figure 1
Project timeline. Abbreviations: TC LHIN, Toronto Central Local Health Integration Network.

Understanding the Current Patient Experience of Discharge

Key methods included: (1) Patient experience mapping[10]a process of capturing and communicating complex patient interactions and their experience in the system by having interdisciplinary groups create a map of the patient experience and feelings through a mock discharge scenario). (2) A cultural probe[11]patients selected as having minor language barriers or limited health literacy were given a journal and disposable camera to document their time at home after discharge. Patients were asked how confident they were in filling out medical forms by themselves as a way of screening for probable health literacy limitations.[12]

Content and Design

The instructions were developed using a codesign methodology,[13] where researchers and the end‐users of a product design the product together. In our case, teams of patients, healthcare providers, and designers worked together to create prototypes using hypothetical patient cases.

Iteratively Evaluating and Refining the Design

The prototype went through 3 design iterations (Figure 1). Feedback from patients, caregivers, and providers using focus groups, interviews, and surveys was used to refine the content and design and validate symbols for each section.

Key methods included: (1) Two focus groups with hard to reach patient groups that would not participate in interviews or surveys. One was with Cantonese‐speaking patients, facilitated by an interpreter. Cantonese is a common language in Toronto, yet the language barrier typically precludes the patients from participating in research. The other group was with patients admitted to the psychiatry unit of the hospital, another group that typically is excluded from research studies. (2) Usability test of a paper‐based version of the instructions across 3 large academic hospitals; physicians and residents in general internal medicine units filled out the instructions by hand for each patient discharged.

RESULTS

Forty‐four patients, 12 caregivers, 30 healthcare personnel, 7 patient‐education professionals, and 8 designers were involved in the design (see Figure 2 for an image of the template) based on best practices in information design, graphic design, and patient education.

Figure 2
Template.

Understanding the Patient Experience of Discharge

The analysis of the patient experience at discharge revealed the following themes:

(1) Difficulties in understanding and retaining verbal instructions in the immediate postdischarge period because of exhaustion. (2) Patient concerns at discharge including feeling unprepared to leave the hospital. (3) Family members and caregivers play a large role in a patient's life, which becomes more significant in the postdischarge phase. This was made clear through journal entries from patients using cultural probes.

Content and Design

Patients wanted to know information that was relevant and actionable. They consistently mentioned the following information as being most important: (1) medication instructions, (2) follow‐up appointments with phone numbers, (3) normal expected symptoms, danger signs, and what to do, (4) lifestyle changes and when to resume activities, and (5) information and resources to have handy.

Advice from patient‐education specialists on the team, as well as the feedback from patients and caregivers was that instructions should be written in language at a fifth‐ or sixth‐grade level and be directed to the patient, use large fonts, include illustrations of medication schedules, and headings that are meaningful to the patient. In addition, patients wanted white space to take notes, an activity that has been shown to improve comprehension and recall.[14]

Patients felt having symbols for each section in the instructions helped make the form more readable by differentiating sections and providing a recognizable image for patients who could read English.

Iteratively Evaluating and Refining the Design

The results of the usability test data and surveys of the final version of the template showed that patients and providers felt that they would benefit from using the instructions. Of the patients and providers, 94.8% of patients and 75% of providers said that the instructions would be helpful to have when discharged from the hospital. Physicians filling out the instructions by hand took an average of 9 minutes to fill out the form.

DISCUSSION

This initiative is an example of engaging patients and caregivers as active partners in the healthcare system. Patients and caregivers were engaged as codesigners of the form from the outset and continuously throughout.

The instructions can be given to patients and caregivers at discharge as both a teaching tool and a reference that can be reviewed when at home. Process considerations are very important. As family and caregivers play an instrumental role in postdischarge care, the instructions should be given whenever possible in the presence of family. The form is a simple addition to any discharge process. It can be filled out by a single provider, a multidisciplinary team, or even the patient while undergoing discharge teaching. The time and resources to fill out the instructions will vary depending on the discharge process in place. Good discharge practices,[15] such as engaging the patient in the conversation and teach back, should be followed.

The form has been licensed as creative commons, so that any healthcare organization can use and adapt the materials to meet the needs of their patients.

The development of the form is only the first step in a larger project. Almost all of the study participants involved in the initiative were from the general internal medicine wards in downtown Toronto. We do not know yet if the results can be generalized to different patient and provider populations.

The instructions are currently being implemented in 8 hospitals throughout Toronto, spanning rehabilitation, acute care, surgery, and pediatrics. The form appears to have been appropriate and generalizable to all of these settings, but results from this multisite implementation on patient and provider experience or health outcomes are not available yet. Anticipated barriers include determining who has the responsibility for filling out the instructions and validating the accuracy of the medication list.

Discharge instructions serve many purposes. Though previous authors have developed checklists to ensure critical discharge information is included in discharge teaching, the creation of a patient‐oriented form, codesigned with patients and caregivers to provide the information that patients explicitly want at discharge, has been lacking. Using participatory action research, mixed methods, and codesign methodology, and including hard‐to‐reach patient groups was helpful in creating a design that will provide patients with key information at discharge in an easy‐to‐understand format.

Acknowledgements

The authors acknowledge the financial support and guidance of the Toronto Central Local Health Integration Network. The project was advised by a number of individuals, namely: Cynthia Damba, Michelle Ransom, Paolo Korre, Irene Chong, Dawn Lim, Helen Kang, Derek Leong, Elizabeth Abraham, Elke Ruthig, Grace Eagan, Vivian Lo, Rachel Solomon, Kendra Delicaet, Sara Ahmadi, and Jess Leung.

Disclosures: The funding provided by the Toronto Central Local Health Integration Network that supported much of the work contained in this article also paid for a portion of the salaries of Shoshana Hahn‐Goldberg, Tai Huynh, and Najla Zahr. There are no other conflicts of interest to report.

References
  1. Forster AJ, Murff HJ, Peterson JF, Gandhi TK, Bates DW. The incidence and severity of adverse events affecting patients after discharge from hospital. Ann Intern Med. 2003;138:161167.
  2. Jack BW, Chetty VK, Anthony D, et al. A reengineered hospital discharge program to decrease rehospitalization: a randomized trial. Ann Inter Med. 2009;150(3):178187.
  3. Statistics Canada. Visual census. 2011 census. Ottawa. Available at: http://www12.statcan.gc.ca/census‐recensement/index‐eng.cfm. Accessed September 19, 2014.
  4. Committee on Health Literacy. Board on Neuroscience and Behavioral Health. Institute of Medicine. Health literacy: a prescription to end confusion. Washington, DC: National Academies Press; 2004. Available at: http://www.collaborationhealthcare.com/7‐20‐10IOMHealthLiteracyExecutiveSummary.pdf. Accessed September 19, 2014.
  5. Rootman I, Gordon‐El‐Bihbety D. A vision for a health literate Canada: report of the Expert Panel on Health Literacy. 2008. Available at: http://www.cpha.ca/uploads/portals/h‐l/report_e.pdf. Accessed September 19, 2014.
  6. Sheridan S, Halpern D, Viera A, Berkman N, Donahue K, Crotty K. Interventions for individuals with low health literacy: a systematic review. J Health Commun. 2011;16:3054.
  7. Schillinger D, Machtinger EL, Wang F, Palacios J, Rodriguez M, Bindman A. Language, literacy, and communication regarding medication in an anticoagulation clinic: a comparison of verbal vs. visual assessment. J Health Commun. 2006;11(7):651664.
  8. Kriplani S, Robertson R, Love‐Ghaffari M, et al. Development of an illustrated medication schedule as a low‐literacy patient education tool. Patient Educ Couns. 2007;66(3):368377.
  9. Turnbull AP, Friesen BJ, Ramirez C. Participatory action research as a model for conducting family research. J Assoc Pers Sev Handicaps. 1998;23(3):178188.
  10. LaVela S, Gallan A. Evaluation and measurement of patient experience. Patient Exp J. 2014;1(1):2836.
  11. Gaver B, Dunne T, Pacenti E. Design: cultural probes. Interactions. 1999;6(1):2129.
  12. Powers B, Trinh J, Bosworth H. Can this patient read and understand written health information? JAMA. 2010;304(1):7684.
  13. Sanders E, Stappers P. Co‐creation and the new landscapes of design. Int J Cocreat Des Arts. 2008;4(1):518.
  14. Mueller P, Oppenheimer D. The pen is mightier that the keyboard: advantages of longhand over laptop note taking. Psychol Sci. 2014;25(6):11591168.
  15. Soong C, Daub S, Lee J, et al. Development of a checklist of safe discharge practices for hospital patients. J Hosp Med. 2013;8:444449.
References
  1. Forster AJ, Murff HJ, Peterson JF, Gandhi TK, Bates DW. The incidence and severity of adverse events affecting patients after discharge from hospital. Ann Intern Med. 2003;138:161167.
  2. Jack BW, Chetty VK, Anthony D, et al. A reengineered hospital discharge program to decrease rehospitalization: a randomized trial. Ann Inter Med. 2009;150(3):178187.
  3. Statistics Canada. Visual census. 2011 census. Ottawa. Available at: http://www12.statcan.gc.ca/census‐recensement/index‐eng.cfm. Accessed September 19, 2014.
  4. Committee on Health Literacy. Board on Neuroscience and Behavioral Health. Institute of Medicine. Health literacy: a prescription to end confusion. Washington, DC: National Academies Press; 2004. Available at: http://www.collaborationhealthcare.com/7‐20‐10IOMHealthLiteracyExecutiveSummary.pdf. Accessed September 19, 2014.
  5. Rootman I, Gordon‐El‐Bihbety D. A vision for a health literate Canada: report of the Expert Panel on Health Literacy. 2008. Available at: http://www.cpha.ca/uploads/portals/h‐l/report_e.pdf. Accessed September 19, 2014.
  6. Sheridan S, Halpern D, Viera A, Berkman N, Donahue K, Crotty K. Interventions for individuals with low health literacy: a systematic review. J Health Commun. 2011;16:3054.
  7. Schillinger D, Machtinger EL, Wang F, Palacios J, Rodriguez M, Bindman A. Language, literacy, and communication regarding medication in an anticoagulation clinic: a comparison of verbal vs. visual assessment. J Health Commun. 2006;11(7):651664.
  8. Kriplani S, Robertson R, Love‐Ghaffari M, et al. Development of an illustrated medication schedule as a low‐literacy patient education tool. Patient Educ Couns. 2007;66(3):368377.
  9. Turnbull AP, Friesen BJ, Ramirez C. Participatory action research as a model for conducting family research. J Assoc Pers Sev Handicaps. 1998;23(3):178188.
  10. LaVela S, Gallan A. Evaluation and measurement of patient experience. Patient Exp J. 2014;1(1):2836.
  11. Gaver B, Dunne T, Pacenti E. Design: cultural probes. Interactions. 1999;6(1):2129.
  12. Powers B, Trinh J, Bosworth H. Can this patient read and understand written health information? JAMA. 2010;304(1):7684.
  13. Sanders E, Stappers P. Co‐creation and the new landscapes of design. Int J Cocreat Des Arts. 2008;4(1):518.
  14. Mueller P, Oppenheimer D. The pen is mightier that the keyboard: advantages of longhand over laptop note taking. Psychol Sci. 2014;25(6):11591168.
  15. Soong C, Daub S, Lee J, et al. Development of a checklist of safe discharge practices for hospital patients. J Hosp Med. 2013;8:444449.
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HCAHPS Surveys and Patient Satisfaction

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Effect of HCAHPS reporting on patient satisfaction with physician communication

The Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) is the first national, standardized, publicly reported survey of patients' perception of hospital care. HCAHPS mandates a standard method of collecting and reporting perception of health care by patients to enable valid comparisons across all hospitals.[1, 2, 3] Voluntary collection of HCAHPS data for public reporting began in July 2006, mandatory collection of data for hospitals that participate in Inpatient Prospective Payment Program of Medicare began in July 2007, and public reporting of mandated HCAHPS scores began in 2008.[2]

Using data from the first 2‐year period, an earlier study had reported an increase in HCAHPS patient satisfaction scores in all domains except in the domain of satisfaction with physician communication.[4] Since then, data from additional years have become available, allowing assessment of satisfaction of hospitalized patients with physician communication over a longer period. Therefore, our objective was to examine changes in patient satisfaction with physician communication from 2007 to 2013, the last reported date, and to explore hospital and local population characteristics that may be associated with patient satisfaction.

METHODS

Publicly available data from 3 sources were used for this study. Patient satisfaction scores with physician communication and hospital characteristics were obtained from the HCAHPS data files available at the Hospital Compare database maintained by the Centers for Medicare and Medicaid Services (CMS).[5] HCAHPS files contain data for the preceding 12 months and are updated quarterly. We used files that reported data from the first to the fourth quarter of the year for 2007 to 2013. The HCAHPS survey contains 32 questions, of which 3 questions are about physician communication.[6] We used the percentage of survey participants who responded that physicians always communicated well as a measure of patient satisfaction with physician communication (the other 2 questions were not included). Hospitals that reported data on patient satisfaction during 2007 were divided into quartiles based on their satisfaction scores, and this quartile allocation was maintained during each subsequent year. Survey response rate, in percentage, was obtained from HCAHPS data files for each year. Hospital characteristics, such as ownership of the hospital, teaching hospital status, and designation of critical access hospital were obtained from the Hospital Compare website. Hospital ownership was defined as government (owned by federal, state, Veterans Affairs, or tribal authorities), for profit (owned by physicians or another proprietary), or nonprofit (owned by a nonprofit organization such as a church). A hospital was considered a teaching hospital if it obtained graduate medical education funding from CMS.

We obtained local population data from 2010 decennial census files and from the American Community Survey 5‐year data profile from 2009 to 2013; both datasets are maintained by the Unites States Census Bureau.[7] Census is mandated by Article I, Section 2 of the United States Constitution and takes place every 10 years. The American Community Survey is also a mandatory, ongoing statistical survey that samples a small percentage of the population every year giving communities the information they need to plan investments and services. We chose to use 5‐year estimates as these are more precise and are reliable in analyzing small populations. For each zip code, we extracted data on total population, percentage of African Americans in the population, median income, poverty level, and insurance status from the Census Bureau data files.

Local population characteristics at zip code level were mapped to hospitals using hospital service area (HSA) crosswalk files from the Dartmouth Atlas of Health Care.[7, 8] The Dartmouth Atlas defined 3436 HSAs by assigning zip codes to the hospital area where the greatest proportion of its Medicare residents were hospitalized. The number of acute care hospital beds and the number of physicians within the HSA were also obtained from the Dartmouth Atlas. Merging data from these 3 sources generated a dataset that contained information about patient satisfaction scores from a particular hospital, hospital characteristics, and population characteristics of the healthcare market.

Data were summarized as mean and standard deviation (SD). To model the dependence of observations from the same hospital and the correlation between hospitals within the same state due to similar regulations, and to assess the relative contribution of satisfaction scores over time within hospital, hospitals within states, and across states, 3‐level hierarchical regression models were examined.[9, 10] At the within‐hospital level, survey response rate was used as a time‐varying variable in addition to the year of observation. However, only year of observation was used to explore differences in patient satisfaction trajectories between hospitals. At the hospitals‐within‐states level, hospital characteristics and local population characteristics within the HSA were included. At the states level, only random effects were obtained, and no additional variables were included in the models.

Four models were built to assess the relationship between satisfaction scores and predictors. The basic model used only random effects without any predictors to determine the relative contribution of each level (within hospitals, hospitals within states, and across states) to variation in patient satisfaction scores and thus was consistent with the variance component analysis. The first model included the year of observation as a predictor at the within‐hospital level to examine trends in patient satisfaction scores during the observation period. For the second model, we added baseline satisfaction quartiles to the second model, whereas remaining predictors (HSA population, African American percentage in HSA, survey response rate, HSA median income, ownership of hospital, percentage with private any insurance in HSA, acute care hospital beds in HSA, teaching hospital status, and percentage of people living in poverty within HSA) were added in the third model. Quartiles for baseline satisfaction were generated using satisfaction scores from 2007. As a larger number of hospitals reported results for 2008 than for 2007 (2273 vs 3746), we conducted a sensitivity analysis using satisfaction quartiles in 2008 as baseline and examined subsequent trends over time for the 4 models noted above. All multilevel models were specified using the nlme package in R to account for clustering of observations within hospitals and hospitals within states, using hospital and state level random effects.[11]

RESULTS

Of the 4353 hospitals with data for the 7‐year period, the majority were in the Southern region (South = 1669, Midwest = 1239, Northeast = 607, West = 838). Texas had the largest number of hospital (N = 358) followed by California (N = 340). The largest number of hospitals were nonprofit (N = 2637, 60.6%). Mean (SD) patient satisfaction with physician communication was 78.9% (5.7%) in 2007 that increased to 81.7% (5.4%) in 2013. Throughout the observation period, the highest patient satisfaction was in the South (80.6% [6.6%] in 2007 and 83.2% [5.4%] in 2013). Of the 2273 hospitals that reported data in 2007, the mean satisfaction score of the lowest quartile was 72% (3.2%), and the highest quartile was 86.9% (3.2%) (Table 1). As a group, hospitals in the highest quartile in 2007 still had higher satisfaction scores in 2013 than the hospitals in the lowest quartile (85% [4.2%] vs 77% [3.6%], respectively). Only 4 of the 584 hospitals in the lowest quartile in 2007 climbed up to the highest quartile in 2013, whereas 22 hospitals that were in the upper quartile in 2007 dropped to the lowest quartile in 2013.

Characteristics of Hospital by Quartiles of Satisfaction Scores in 2007
CharacteristicQuartiles Based on 2007 Satisfaction Scores
Highest Quartile2nd Quartile3rd QuartileLowest Quartile
  • NOTE: Abbreviations: HSA, hospital service area; IQR, interquartile range; SD, standard deviation.

Total no. of hospitals, N (%)461 (20.3)545 (24.0)683 (30.0)584 (25.7)
Hospital ownership, N (%)    
For profit50 (14.4)60 (17.3)96 (27.7)140 (40.5)
Nonprofit269 (17.4)380 (24.6)515 (33.4)378 (24.5)
Government142 (36.9)105 (27.3)72 (18.7)66 (17.1)
HSA population, in 1,000, median (IQR)33.2 (70.5)88.5 (186)161.8 (374)222.2 (534)
Racial distribution of HSA population, median (IQR)    
White, %82.6 (26.2)82.5 (28.5)74.2 (32.9)66.8 (35.3)
Black, %4.3 (21.7)3.7 (16.3)5.9 (14.8)7.4 (12.1)
Other, %6.4 (7.1)8.8 (10.8)12.9 (19.8)20.0 (33.1)
HSA mean median income in $1,000, mean (SD)44.6 (11.7)52.4 (17.8)58.4 (17.1)57.5 (15.7)
Satisfaction scores (at baseline), mean (SD)86.9 (3.1)81.4 (1.1)77.5 (1.1)72.0 (3.2)
Satisfaction scores (in 2013), mean (SD)85.0 (4.3)82.0 (3.4)79.7 (3.0)77.0 (3.5)
Survey response rate (at baseline), mean (SD)43.2 (19.8)34.5 (9.4)32.6 (8.0)30.3 (7.8)
Survey response rate (20072013), mean (SD)32.8 (7.8)32.6 (7.5)30.8 (6.5)29.3 (6.5)
Percentage with any insurance in HSA, mean (SD)84.0 (5.4)84.8 (6.6)85.5 (6.3)83.9 (6.6)
Teaching hospital, N (%)42 (9.1)155 (28.4)277 (40.5)274 (46.9%)
Acute care hospital beds in HSA (per 1,000), mean (SD)3.2 (1.2)2.6 (0.8)2.5 (0.8)2.4 (0.7)
Number of physicians in HSA (per 100,000), mean (SD)190 (36)197 (43)204 (47)199 (45)
Percentage with poverty in HSA, mean (SD)[7]16.9 (6.6)15.5 (6.5)14.4 (5.7)15.5 (6.0)

Using variance component analysis, we found that 23% of the variation in patient satisfaction scores with physician communication was due to differences between states, 52% was due to differences between hospitals within states, and 24% was due to changes over time within a hospital. When examining time trends of satisfaction during the 7‐year period without adjusting for other predictors, we found a statistically significant increasing trend in patient satisfaction with physician communication (0.33% per year; P < 0.001). We also found a significant negative correlation (0.62, P < 0.001) between the random effects for baseline satisfaction (intercept) and change over time (slope), suggesting that initial patient satisfaction with physicians at a hospital was negatively correlated with subsequent change in satisfaction scores during the observation period.

When examining the effect of satisfaction ranking in 2007, hospitals within the lowest quartile of patient satisfaction in 2007 had significantly larger increase in satisfaction scores during the subsequent period as compared to the hospitals in each of the other 3 quartiles (all P < 0.001, Table 2). The difference in the magnitude of the rate of increase in satisfaction scores was greatest between the lowest quartile and the highest quartile (1.10% per year; P < 0.001). In fact, the highest quartile had a statistically significant absolute decrease in patient satisfaction during the observation period (0.23% per year; P < 0.001, Figure 1).

Results of Multilevel Models for Patient Satisfaction With Physician Scores
VariableModel 1: ; P ValueModel 2: ; P ValueModel 3: ; P Value
  • NOTE: Model 1 = Time only predictor with hospital and state as random effects. Model 2 = Time and baseline satisfaction as predictors with hospital and state as random effects. Model 3 = Time, baseline satisfaction, HSA population, African American percentage in HSA, survey response rate, HSA median income, ownership of hospital, percentage with private insurance in HSA, acute care hospital beds in HSA, teaching hospital status, and percentage of people living in poverty within HSA; hospital and state were included as random effects. As there were far fewer values of satisfaction scores than the number of hospitals, and the number of hospitals were not evenly distributed across all satisfaction score values, the number of hospitals in each quartile is not exactly one‐fourth. Abbreviations: HSA, hospital service area.

Time (in years)0.33; <0.0010.87; <0.0010.89; <0.001
Satisfaction quartiles at baseline   
Highest quartile 12.1; <0.00110.4; <0.001
2nd quartile 7.9; <0.0017.1; <0.001
3rd quartile 4.5; <0.0014.1; <0.001
Lowest quartile (REF) REFREF
Interaction with time   
Highest quartile 1.10; <0.0010.94; <0.001
2nd quartile 0.73; <0.0010.71; <0.001
3rd quartile 0.48; <0.0010.47;<0.001
Survey response rate (%)  0.12; <0.001
Total population, in 10,000  0.002; 0.02
African American (%)  0.004; 0.13
HSA median Income in $10,000  0.02; 0.58
Ownership   
Government (REF)  REF
Nonprofit  0.01; 0.88
For profit  0.21; 0.11
Percentage with insurance in HSA  0.007; 0.27
Acute care beds in HSA (per 1,000)  0.60; <0.001
Physicians in HSA (per 100,000)  0.003; 0.007
Teaching hospital  0.34; 0.001
Percentage in poverty in HSA  0.01; 0.27
Figure 1
Trend in patient satisfaction with physicians during the observation period by quartile membership at baseline. The y‐axis represents the percentage of survey participants who responded that physicians “always” communicated well at a particular hospital. The x‐axis represents the years for which survey data were reported. Hospitals were divided into quartiles based on baseline satisfaction scores.

After adjusting for hospital characteristics and population characteristics of the HSA, the 2007 satisfaction quartiles remained significantly associated with subsequent change in satisfaction scores during the 7‐year observation period (Table 2). In addition, survey response rate, number of physicians, and the number of acute‐care hospital beds within the HSA were positively associated with patient satisfaction, whereas higher HSA population density and being a teaching hospital were negatively associated with patient satisfaction. Using 2008 satisfaction scores as baseline, the results did not change except that the number of physicians in the HSA and being a teaching hospital were no longer associated with satisfaction scores with physicians.

DISCUSSION

Using hierarchical modelling, we have shown that national patient satisfaction scores with physicians have consistently improved since 2007, the year when reporting of satisfaction scores began. We further show that the improvement in satisfaction scores has not been consistent through all hospitals. The largest increase in satisfaction scores was in hospitals that were in the lowest quartile of satisfaction scores in 2007. In contrast, satisfaction scores decreased in hospitals that were in the uppermost quartile of satisfaction scores. The difference between the lowest and uppermost quartile was so large in 2007 that despite the difference in the direction of change in satisfaction scores, hospitals in the uppermost quartile continued to have higher satisfaction scores in 2013 than hospitals in the lowest quartile.

Consistent with our findings for patient satisfaction, other studies have found that public reporting is associated with improvement in healthcare quality measures across nursing homes, physician groups, and hospitals.[12, 13, 14] However, it is unclear how public reporting can change patient satisfaction. The main purpose of public reporting of quality of healthcare measures, such as patient satisfaction with the healthcare they receive, is to generate value by increasing transparency and accountability, thereby increasing the quality of healthcare delivery. Healthcare consumers may also utilize the reported measures to choose providers that deliver high‐quality healthcare. Contrary to expectations, there is very little evidence that consumers choose healthcare facilities based on public reporting, and it is likely that other mechanisms may explain the observed association.[15, 16]

Physicians have historically had low adoption of strategies to improve patient satisfaction and often cite suboptimal data and lack of evidence for data‐driven strategies.[17, 18] Hospitals and healthcare organizations have deployed a broad range of strategies to engage physicians. These include emphasizing relationship between patient satisfaction and patient compliance, complaints and malpractice lawsuits, appealing to physicians' sense of competitiveness by publishing individual provider satisfaction scores, educating physicians on HCAHPS and providing them with regularly updated data, and development of specific techniques for improving patient‐physician interaction.[19, 20, 21, 22, 23, 24] Administrators may also enhance physician engagement by improving physician satisfaction, decreasing their turnover, support development of physicians in administrative leadership roles, and improving financial transparency.[25] Thus, involvement of hospital leadership has been instrumental in encouraging physicians to focus on quality measures including patient satisfaction. Some evidence suggests that public reporting exerts strong influence on hospital leaders for adequate resource allocation, local planning, and improvement efforts.[26, 27, 28]

Perhaps the most intriguing finding in our study is that hospitals in the uppermost quartile of satisfaction scores in 2007 had a statistically significant steady decline in scores during the following period as compared to hospitals in the lowest quartile that had a steady increase. A possible explanation for this finding can be that high‐performing hospitals become complacent and do not invest in developing the effort‐intensive resources required to maintain and improve performance in the physician‐related patient satisfaction domain. These resources may be diverted to competing needs that include addressing improvement efforts for a large number of other publicly reported healthcare quality measures. Thus, an unintended consequence of quality improvement may be that improvement in 1 domain may be at the expense of quality of care in another domain.[29, 30, 31] On the other hand, it is likely that hospitals in the lower quartile see a larger improvement in their scores for the same degree of investment as hospitals in the higher quartiles. It is also likely that hospitals, particularly those in the lowest quartile, develop their individual benchmarks and expend effort that is in line with their perceived need for improvement to achieve their strategic and marketing goals.

Our study has significant implications for the healthcare system, clinical practice, and future research. Whereas public reporting of quality measures is associated with an overall improvement in the reported quality measure, hospitals with high scores may move resources away from that metric or become complacent. Health policy makers need to design policies that encourage all hospitals and providers to perform better or continue to perform well. We further show that differences between hospitals and between local healthcare markets are the biggest factor determining the variation in patient satisfaction with physician communication, and an adjustment in reported score for these factors may be needed. Although local healthcare market factors may not be modifiable, an exchange of knowledge between hospitals with low and high patient satisfaction scores may improve overall satisfaction scores. Similarly, hospitals that are successful in increasing patient satisfaction scores should identify and share useful interventions.

The main strength of our study is that we used data on patient satisfaction with physician communication that were reported annually by most hospitals within the United States. These longitudinal data allowed us to examine not only the effect of public reporting on patient satisfaction with physician communication but also its trend over time. As we had 7 years of data, we were able to eliminate the possibility of regression to mean; an extreme result on first measurement is followed by a second measurement that tends to be closer to the average. Further, we adjusted satisfaction scores based on hospital and local healthcare market characteristics allowing us to compare satisfaction scores across hospitals. However, because units of observation were hospitals and not patients, we could not examine the effect of patient characteristics on satisfaction scores. In addition, HCAHPS surveys have low response rates and may have response and selection bias. Furthermore, we were unable to examine the strategies implemented by hospitals to improve satisfaction scores or the effect of such strategies on satisfaction scores. Data on hospital strategies to increase satisfaction scores are not available for most hospitals and could not have been included in the study.

In summary, we have found that public reporting was followed by an improvement in patient satisfaction scores with physician communication between 2007 and 2013. The rate of improvement was significantly greater in hospitals that had satisfaction scores in the lowest quartiles, whereas hospitals in the highest quartile had a small but statistically significant decline in patient satisfaction scores.

Files
References
  1. Centers for Medicare Medicaid Services. Medicare program; hospital outpatient prospective payment system and CY 2007 payment rates; CY 2007 update to the ambulatory surgical center covered procedures list; Medicare administrative contractors; and reporting hospital quality data for FY 2008 inpatient prospective payment system annual payment update program‐‐HCAHPS survey, SCIP, and mortality. Final rule with comment period and final rule. Fed Regist. 2006;71(226):6795968401.
  2. Giordano LA, Elliott MN, Goldstein E, Lehrman WG, Spencer PA. Development, implementation, and public reporting of the HCAHPS survey. Med Care Res Rev. 2010;67(1):2737.
  3. Siddiqui ZK, Wu AW, Kurbanova N, Qayyum R. Comparison of Hospital Consumer Assessment of Healthcare Providers and Systems patient satisfaction scores for specialty hospitals and general medical hospitals: confounding effect of survey response rate. J Hosp Med. 2014;9(9):590593.
  4. Elliott MN, Lehrman WG, Goldstein EH, et al. Hospital survey shows improvements in patient experience. Health Aff (Millwood). 2010;29(11):20612067.
  5. Centers for Medicare 2010:496829.
  6. Gascon‐Barre M, Demers C, Mirshahi A, Neron S, Zalzal S, Nanci A. The normal liver harbors the vitamin D nuclear receptor in nonparenchymal and biliary epithelial cells. Hepatology. 2003;37(5):10341042.
  7. Singer JD, Willett JB. Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. Oxford, United Kingdom: Oxford University Press; 2003.
  8. Gelman A, Hill J. Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge, United Kingdom: Cambridge University Press; 2007.
  9. nlme: Linear and Nonlinear Mixed Effects Models [computer program]. Version R package version 2015;3:1121.
  10. Smith MA, Wright A, Queram C, Lamb GC. Public reporting helped drive quality improvement in outpatient diabetes care among Wisconsin physician groups. Health Aff (Millwood). 2012;31(3):570577.
  11. Wees PJ, Sanden MW, Ginneken E, Ayanian JZ, Schneider EC, Westert GP. Governing healthcare through performance measurement in Massachusetts and the Netherlands. Health Policy. 2014;116(1):1826.
  12. Werner R, Stuart E, Polsky D. Public reporting drove quality gains at nursing homes. Health Aff (Millwood). 2010;29(9):17061713.
  13. Bardach NS, Hibbard JH, Dudley RA. Users of public reports of hospital quality: who, what, why, and how?: An aggregate analysis of 16 online public reporting Web sites and users' and experts' suggestions for improvement. Agency for Healthcare Research and Quality. Available at: http://archive.ahrq.gov/professionals/quality‐patient‐safety/quality‐resources/value/pubreportusers/index.html. Updated December 2011. Accessed April 2, 2015.
  14. Kaiser Family Foundation. 2008 update on consumers' views of patient safety and quality information. Available at: http://kff.org/health‐reform/poll‐finding/2008‐update‐on‐consumers‐views‐of‐patient‐2/. Published September 30, 2008. Accessed April 2, 2015.
  15. Blumenthal D, Kilo CM. A report card on continuous quality improvement. Milbank Q. 1998;76(4):625648, 511.
  16. Shortell SM, Bennett CL, Byck GR. Assessing the impact of continuous quality improvement on clinical practice: what it will take to accelerate progress. Milbank Q. 1998;76(4):593624, 510.
  17. Rivers PA, Glover SH. Health care competition, strategic mission, and patient satisfaction: research model and propositions. J Health Organ Manag. 2008;22(6):627641.
  18. Kim SS, Kaplowitz S, Johnston MV. The effects of physician empathy on patient satisfaction and compliance. Eval Health Prof. 2004;27(3):237251.
  19. Villar LM, Campo JA, Ranchal I, Lampe E, Romero‐Gomez M. Association between vitamin D and hepatitis C virus infection: a meta‐analysis. World J Gastroenterol. 2013;19(35):59175924.
  20. Stelfox HT, Gandhi TK, Orav EJ, Gustafson ML. The relation of patient satisfaction with complaints against physicians and malpractice lawsuits. Am J Med. 2005;118(10):11261133.
  21. Rodriguez HP, Rodday AM, Marshall RE, Nelson KL, Rogers WH, Safran DG. Relation of patients' experiences with individual physicians to malpractice risk. Int J Qual Health Care. 2008;20(1):512.
  22. Cydulka RK, Tamayo‐Sarver J, Gage A, Bagnoli D. Association of patient satisfaction with complaints and risk management among emergency physicians. J Emerg Med. 2011;41(4):405411.
  23. Bogue RJ, Guarneri JG, Reed M, Bradley K, Hughes J. Secrets of physician satisfaction. Study identifies pressure points and reveals life practices of highly satisfied doctors. Physician Exec. 2006;32(6):3039.
  24. Lindenauer PK, Lagu T, Ross JS, et al. Attitudes of hospital leaders toward publicly reported measures of health care quality. JAMA Intern Med. 2014;174(12):19041911.
  25. Totten AM, Wagner J, Tiwari A, O'Haire C, Griffin J, Walker M. Closing the quality gap: revisiting the state of the science (vol. 5: public reporting as a quality improvement strategy). Evid Rep Technol Assess (Full Rep). 2012(208.5):1645.
  26. Fung CH, Lim YW, Mattke S, Damberg C, Shekelle PG. Systematic review: the evidence that publishing patient care performance data improves quality of care. Ann Intern Med. 2008;148(2):111123.
  27. Bardach NS, Cabana MD. The unintended consequences of quality improvement. Curr Opin Pediatr. 2009;21(6):777782.
  28. Powell AA, White KM, Partin MR, et al. Unintended consequences of implementing a national performance measurement system into local practice. J Gen Intern Med. 2012;27(4):405412.
  29. Riskin L, Campagna JA. Quality assessment by external bodies: intended and unintended impact on healthcare delivery. Curr Opin Anaesthesiol. 2009;22(2):237241.
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Journal of Hospital Medicine - 11(2)
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The Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) is the first national, standardized, publicly reported survey of patients' perception of hospital care. HCAHPS mandates a standard method of collecting and reporting perception of health care by patients to enable valid comparisons across all hospitals.[1, 2, 3] Voluntary collection of HCAHPS data for public reporting began in July 2006, mandatory collection of data for hospitals that participate in Inpatient Prospective Payment Program of Medicare began in July 2007, and public reporting of mandated HCAHPS scores began in 2008.[2]

Using data from the first 2‐year period, an earlier study had reported an increase in HCAHPS patient satisfaction scores in all domains except in the domain of satisfaction with physician communication.[4] Since then, data from additional years have become available, allowing assessment of satisfaction of hospitalized patients with physician communication over a longer period. Therefore, our objective was to examine changes in patient satisfaction with physician communication from 2007 to 2013, the last reported date, and to explore hospital and local population characteristics that may be associated with patient satisfaction.

METHODS

Publicly available data from 3 sources were used for this study. Patient satisfaction scores with physician communication and hospital characteristics were obtained from the HCAHPS data files available at the Hospital Compare database maintained by the Centers for Medicare and Medicaid Services (CMS).[5] HCAHPS files contain data for the preceding 12 months and are updated quarterly. We used files that reported data from the first to the fourth quarter of the year for 2007 to 2013. The HCAHPS survey contains 32 questions, of which 3 questions are about physician communication.[6] We used the percentage of survey participants who responded that physicians always communicated well as a measure of patient satisfaction with physician communication (the other 2 questions were not included). Hospitals that reported data on patient satisfaction during 2007 were divided into quartiles based on their satisfaction scores, and this quartile allocation was maintained during each subsequent year. Survey response rate, in percentage, was obtained from HCAHPS data files for each year. Hospital characteristics, such as ownership of the hospital, teaching hospital status, and designation of critical access hospital were obtained from the Hospital Compare website. Hospital ownership was defined as government (owned by federal, state, Veterans Affairs, or tribal authorities), for profit (owned by physicians or another proprietary), or nonprofit (owned by a nonprofit organization such as a church). A hospital was considered a teaching hospital if it obtained graduate medical education funding from CMS.

We obtained local population data from 2010 decennial census files and from the American Community Survey 5‐year data profile from 2009 to 2013; both datasets are maintained by the Unites States Census Bureau.[7] Census is mandated by Article I, Section 2 of the United States Constitution and takes place every 10 years. The American Community Survey is also a mandatory, ongoing statistical survey that samples a small percentage of the population every year giving communities the information they need to plan investments and services. We chose to use 5‐year estimates as these are more precise and are reliable in analyzing small populations. For each zip code, we extracted data on total population, percentage of African Americans in the population, median income, poverty level, and insurance status from the Census Bureau data files.

Local population characteristics at zip code level were mapped to hospitals using hospital service area (HSA) crosswalk files from the Dartmouth Atlas of Health Care.[7, 8] The Dartmouth Atlas defined 3436 HSAs by assigning zip codes to the hospital area where the greatest proportion of its Medicare residents were hospitalized. The number of acute care hospital beds and the number of physicians within the HSA were also obtained from the Dartmouth Atlas. Merging data from these 3 sources generated a dataset that contained information about patient satisfaction scores from a particular hospital, hospital characteristics, and population characteristics of the healthcare market.

Data were summarized as mean and standard deviation (SD). To model the dependence of observations from the same hospital and the correlation between hospitals within the same state due to similar regulations, and to assess the relative contribution of satisfaction scores over time within hospital, hospitals within states, and across states, 3‐level hierarchical regression models were examined.[9, 10] At the within‐hospital level, survey response rate was used as a time‐varying variable in addition to the year of observation. However, only year of observation was used to explore differences in patient satisfaction trajectories between hospitals. At the hospitals‐within‐states level, hospital characteristics and local population characteristics within the HSA were included. At the states level, only random effects were obtained, and no additional variables were included in the models.

Four models were built to assess the relationship between satisfaction scores and predictors. The basic model used only random effects without any predictors to determine the relative contribution of each level (within hospitals, hospitals within states, and across states) to variation in patient satisfaction scores and thus was consistent with the variance component analysis. The first model included the year of observation as a predictor at the within‐hospital level to examine trends in patient satisfaction scores during the observation period. For the second model, we added baseline satisfaction quartiles to the second model, whereas remaining predictors (HSA population, African American percentage in HSA, survey response rate, HSA median income, ownership of hospital, percentage with private any insurance in HSA, acute care hospital beds in HSA, teaching hospital status, and percentage of people living in poverty within HSA) were added in the third model. Quartiles for baseline satisfaction were generated using satisfaction scores from 2007. As a larger number of hospitals reported results for 2008 than for 2007 (2273 vs 3746), we conducted a sensitivity analysis using satisfaction quartiles in 2008 as baseline and examined subsequent trends over time for the 4 models noted above. All multilevel models were specified using the nlme package in R to account for clustering of observations within hospitals and hospitals within states, using hospital and state level random effects.[11]

RESULTS

Of the 4353 hospitals with data for the 7‐year period, the majority were in the Southern region (South = 1669, Midwest = 1239, Northeast = 607, West = 838). Texas had the largest number of hospital (N = 358) followed by California (N = 340). The largest number of hospitals were nonprofit (N = 2637, 60.6%). Mean (SD) patient satisfaction with physician communication was 78.9% (5.7%) in 2007 that increased to 81.7% (5.4%) in 2013. Throughout the observation period, the highest patient satisfaction was in the South (80.6% [6.6%] in 2007 and 83.2% [5.4%] in 2013). Of the 2273 hospitals that reported data in 2007, the mean satisfaction score of the lowest quartile was 72% (3.2%), and the highest quartile was 86.9% (3.2%) (Table 1). As a group, hospitals in the highest quartile in 2007 still had higher satisfaction scores in 2013 than the hospitals in the lowest quartile (85% [4.2%] vs 77% [3.6%], respectively). Only 4 of the 584 hospitals in the lowest quartile in 2007 climbed up to the highest quartile in 2013, whereas 22 hospitals that were in the upper quartile in 2007 dropped to the lowest quartile in 2013.

Characteristics of Hospital by Quartiles of Satisfaction Scores in 2007
CharacteristicQuartiles Based on 2007 Satisfaction Scores
Highest Quartile2nd Quartile3rd QuartileLowest Quartile
  • NOTE: Abbreviations: HSA, hospital service area; IQR, interquartile range; SD, standard deviation.

Total no. of hospitals, N (%)461 (20.3)545 (24.0)683 (30.0)584 (25.7)
Hospital ownership, N (%)    
For profit50 (14.4)60 (17.3)96 (27.7)140 (40.5)
Nonprofit269 (17.4)380 (24.6)515 (33.4)378 (24.5)
Government142 (36.9)105 (27.3)72 (18.7)66 (17.1)
HSA population, in 1,000, median (IQR)33.2 (70.5)88.5 (186)161.8 (374)222.2 (534)
Racial distribution of HSA population, median (IQR)    
White, %82.6 (26.2)82.5 (28.5)74.2 (32.9)66.8 (35.3)
Black, %4.3 (21.7)3.7 (16.3)5.9 (14.8)7.4 (12.1)
Other, %6.4 (7.1)8.8 (10.8)12.9 (19.8)20.0 (33.1)
HSA mean median income in $1,000, mean (SD)44.6 (11.7)52.4 (17.8)58.4 (17.1)57.5 (15.7)
Satisfaction scores (at baseline), mean (SD)86.9 (3.1)81.4 (1.1)77.5 (1.1)72.0 (3.2)
Satisfaction scores (in 2013), mean (SD)85.0 (4.3)82.0 (3.4)79.7 (3.0)77.0 (3.5)
Survey response rate (at baseline), mean (SD)43.2 (19.8)34.5 (9.4)32.6 (8.0)30.3 (7.8)
Survey response rate (20072013), mean (SD)32.8 (7.8)32.6 (7.5)30.8 (6.5)29.3 (6.5)
Percentage with any insurance in HSA, mean (SD)84.0 (5.4)84.8 (6.6)85.5 (6.3)83.9 (6.6)
Teaching hospital, N (%)42 (9.1)155 (28.4)277 (40.5)274 (46.9%)
Acute care hospital beds in HSA (per 1,000), mean (SD)3.2 (1.2)2.6 (0.8)2.5 (0.8)2.4 (0.7)
Number of physicians in HSA (per 100,000), mean (SD)190 (36)197 (43)204 (47)199 (45)
Percentage with poverty in HSA, mean (SD)[7]16.9 (6.6)15.5 (6.5)14.4 (5.7)15.5 (6.0)

Using variance component analysis, we found that 23% of the variation in patient satisfaction scores with physician communication was due to differences between states, 52% was due to differences between hospitals within states, and 24% was due to changes over time within a hospital. When examining time trends of satisfaction during the 7‐year period without adjusting for other predictors, we found a statistically significant increasing trend in patient satisfaction with physician communication (0.33% per year; P < 0.001). We also found a significant negative correlation (0.62, P < 0.001) between the random effects for baseline satisfaction (intercept) and change over time (slope), suggesting that initial patient satisfaction with physicians at a hospital was negatively correlated with subsequent change in satisfaction scores during the observation period.

When examining the effect of satisfaction ranking in 2007, hospitals within the lowest quartile of patient satisfaction in 2007 had significantly larger increase in satisfaction scores during the subsequent period as compared to the hospitals in each of the other 3 quartiles (all P < 0.001, Table 2). The difference in the magnitude of the rate of increase in satisfaction scores was greatest between the lowest quartile and the highest quartile (1.10% per year; P < 0.001). In fact, the highest quartile had a statistically significant absolute decrease in patient satisfaction during the observation period (0.23% per year; P < 0.001, Figure 1).

Results of Multilevel Models for Patient Satisfaction With Physician Scores
VariableModel 1: ; P ValueModel 2: ; P ValueModel 3: ; P Value
  • NOTE: Model 1 = Time only predictor with hospital and state as random effects. Model 2 = Time and baseline satisfaction as predictors with hospital and state as random effects. Model 3 = Time, baseline satisfaction, HSA population, African American percentage in HSA, survey response rate, HSA median income, ownership of hospital, percentage with private insurance in HSA, acute care hospital beds in HSA, teaching hospital status, and percentage of people living in poverty within HSA; hospital and state were included as random effects. As there were far fewer values of satisfaction scores than the number of hospitals, and the number of hospitals were not evenly distributed across all satisfaction score values, the number of hospitals in each quartile is not exactly one‐fourth. Abbreviations: HSA, hospital service area.

Time (in years)0.33; <0.0010.87; <0.0010.89; <0.001
Satisfaction quartiles at baseline   
Highest quartile 12.1; <0.00110.4; <0.001
2nd quartile 7.9; <0.0017.1; <0.001
3rd quartile 4.5; <0.0014.1; <0.001
Lowest quartile (REF) REFREF
Interaction with time   
Highest quartile 1.10; <0.0010.94; <0.001
2nd quartile 0.73; <0.0010.71; <0.001
3rd quartile 0.48; <0.0010.47;<0.001
Survey response rate (%)  0.12; <0.001
Total population, in 10,000  0.002; 0.02
African American (%)  0.004; 0.13
HSA median Income in $10,000  0.02; 0.58
Ownership   
Government (REF)  REF
Nonprofit  0.01; 0.88
For profit  0.21; 0.11
Percentage with insurance in HSA  0.007; 0.27
Acute care beds in HSA (per 1,000)  0.60; <0.001
Physicians in HSA (per 100,000)  0.003; 0.007
Teaching hospital  0.34; 0.001
Percentage in poverty in HSA  0.01; 0.27
Figure 1
Trend in patient satisfaction with physicians during the observation period by quartile membership at baseline. The y‐axis represents the percentage of survey participants who responded that physicians “always” communicated well at a particular hospital. The x‐axis represents the years for which survey data were reported. Hospitals were divided into quartiles based on baseline satisfaction scores.

After adjusting for hospital characteristics and population characteristics of the HSA, the 2007 satisfaction quartiles remained significantly associated with subsequent change in satisfaction scores during the 7‐year observation period (Table 2). In addition, survey response rate, number of physicians, and the number of acute‐care hospital beds within the HSA were positively associated with patient satisfaction, whereas higher HSA population density and being a teaching hospital were negatively associated with patient satisfaction. Using 2008 satisfaction scores as baseline, the results did not change except that the number of physicians in the HSA and being a teaching hospital were no longer associated with satisfaction scores with physicians.

DISCUSSION

Using hierarchical modelling, we have shown that national patient satisfaction scores with physicians have consistently improved since 2007, the year when reporting of satisfaction scores began. We further show that the improvement in satisfaction scores has not been consistent through all hospitals. The largest increase in satisfaction scores was in hospitals that were in the lowest quartile of satisfaction scores in 2007. In contrast, satisfaction scores decreased in hospitals that were in the uppermost quartile of satisfaction scores. The difference between the lowest and uppermost quartile was so large in 2007 that despite the difference in the direction of change in satisfaction scores, hospitals in the uppermost quartile continued to have higher satisfaction scores in 2013 than hospitals in the lowest quartile.

Consistent with our findings for patient satisfaction, other studies have found that public reporting is associated with improvement in healthcare quality measures across nursing homes, physician groups, and hospitals.[12, 13, 14] However, it is unclear how public reporting can change patient satisfaction. The main purpose of public reporting of quality of healthcare measures, such as patient satisfaction with the healthcare they receive, is to generate value by increasing transparency and accountability, thereby increasing the quality of healthcare delivery. Healthcare consumers may also utilize the reported measures to choose providers that deliver high‐quality healthcare. Contrary to expectations, there is very little evidence that consumers choose healthcare facilities based on public reporting, and it is likely that other mechanisms may explain the observed association.[15, 16]

Physicians have historically had low adoption of strategies to improve patient satisfaction and often cite suboptimal data and lack of evidence for data‐driven strategies.[17, 18] Hospitals and healthcare organizations have deployed a broad range of strategies to engage physicians. These include emphasizing relationship between patient satisfaction and patient compliance, complaints and malpractice lawsuits, appealing to physicians' sense of competitiveness by publishing individual provider satisfaction scores, educating physicians on HCAHPS and providing them with regularly updated data, and development of specific techniques for improving patient‐physician interaction.[19, 20, 21, 22, 23, 24] Administrators may also enhance physician engagement by improving physician satisfaction, decreasing their turnover, support development of physicians in administrative leadership roles, and improving financial transparency.[25] Thus, involvement of hospital leadership has been instrumental in encouraging physicians to focus on quality measures including patient satisfaction. Some evidence suggests that public reporting exerts strong influence on hospital leaders for adequate resource allocation, local planning, and improvement efforts.[26, 27, 28]

Perhaps the most intriguing finding in our study is that hospitals in the uppermost quartile of satisfaction scores in 2007 had a statistically significant steady decline in scores during the following period as compared to hospitals in the lowest quartile that had a steady increase. A possible explanation for this finding can be that high‐performing hospitals become complacent and do not invest in developing the effort‐intensive resources required to maintain and improve performance in the physician‐related patient satisfaction domain. These resources may be diverted to competing needs that include addressing improvement efforts for a large number of other publicly reported healthcare quality measures. Thus, an unintended consequence of quality improvement may be that improvement in 1 domain may be at the expense of quality of care in another domain.[29, 30, 31] On the other hand, it is likely that hospitals in the lower quartile see a larger improvement in their scores for the same degree of investment as hospitals in the higher quartiles. It is also likely that hospitals, particularly those in the lowest quartile, develop their individual benchmarks and expend effort that is in line with their perceived need for improvement to achieve their strategic and marketing goals.

Our study has significant implications for the healthcare system, clinical practice, and future research. Whereas public reporting of quality measures is associated with an overall improvement in the reported quality measure, hospitals with high scores may move resources away from that metric or become complacent. Health policy makers need to design policies that encourage all hospitals and providers to perform better or continue to perform well. We further show that differences between hospitals and between local healthcare markets are the biggest factor determining the variation in patient satisfaction with physician communication, and an adjustment in reported score for these factors may be needed. Although local healthcare market factors may not be modifiable, an exchange of knowledge between hospitals with low and high patient satisfaction scores may improve overall satisfaction scores. Similarly, hospitals that are successful in increasing patient satisfaction scores should identify and share useful interventions.

The main strength of our study is that we used data on patient satisfaction with physician communication that were reported annually by most hospitals within the United States. These longitudinal data allowed us to examine not only the effect of public reporting on patient satisfaction with physician communication but also its trend over time. As we had 7 years of data, we were able to eliminate the possibility of regression to mean; an extreme result on first measurement is followed by a second measurement that tends to be closer to the average. Further, we adjusted satisfaction scores based on hospital and local healthcare market characteristics allowing us to compare satisfaction scores across hospitals. However, because units of observation were hospitals and not patients, we could not examine the effect of patient characteristics on satisfaction scores. In addition, HCAHPS surveys have low response rates and may have response and selection bias. Furthermore, we were unable to examine the strategies implemented by hospitals to improve satisfaction scores or the effect of such strategies on satisfaction scores. Data on hospital strategies to increase satisfaction scores are not available for most hospitals and could not have been included in the study.

In summary, we have found that public reporting was followed by an improvement in patient satisfaction scores with physician communication between 2007 and 2013. The rate of improvement was significantly greater in hospitals that had satisfaction scores in the lowest quartiles, whereas hospitals in the highest quartile had a small but statistically significant decline in patient satisfaction scores.

The Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) is the first national, standardized, publicly reported survey of patients' perception of hospital care. HCAHPS mandates a standard method of collecting and reporting perception of health care by patients to enable valid comparisons across all hospitals.[1, 2, 3] Voluntary collection of HCAHPS data for public reporting began in July 2006, mandatory collection of data for hospitals that participate in Inpatient Prospective Payment Program of Medicare began in July 2007, and public reporting of mandated HCAHPS scores began in 2008.[2]

Using data from the first 2‐year period, an earlier study had reported an increase in HCAHPS patient satisfaction scores in all domains except in the domain of satisfaction with physician communication.[4] Since then, data from additional years have become available, allowing assessment of satisfaction of hospitalized patients with physician communication over a longer period. Therefore, our objective was to examine changes in patient satisfaction with physician communication from 2007 to 2013, the last reported date, and to explore hospital and local population characteristics that may be associated with patient satisfaction.

METHODS

Publicly available data from 3 sources were used for this study. Patient satisfaction scores with physician communication and hospital characteristics were obtained from the HCAHPS data files available at the Hospital Compare database maintained by the Centers for Medicare and Medicaid Services (CMS).[5] HCAHPS files contain data for the preceding 12 months and are updated quarterly. We used files that reported data from the first to the fourth quarter of the year for 2007 to 2013. The HCAHPS survey contains 32 questions, of which 3 questions are about physician communication.[6] We used the percentage of survey participants who responded that physicians always communicated well as a measure of patient satisfaction with physician communication (the other 2 questions were not included). Hospitals that reported data on patient satisfaction during 2007 were divided into quartiles based on their satisfaction scores, and this quartile allocation was maintained during each subsequent year. Survey response rate, in percentage, was obtained from HCAHPS data files for each year. Hospital characteristics, such as ownership of the hospital, teaching hospital status, and designation of critical access hospital were obtained from the Hospital Compare website. Hospital ownership was defined as government (owned by federal, state, Veterans Affairs, or tribal authorities), for profit (owned by physicians or another proprietary), or nonprofit (owned by a nonprofit organization such as a church). A hospital was considered a teaching hospital if it obtained graduate medical education funding from CMS.

We obtained local population data from 2010 decennial census files and from the American Community Survey 5‐year data profile from 2009 to 2013; both datasets are maintained by the Unites States Census Bureau.[7] Census is mandated by Article I, Section 2 of the United States Constitution and takes place every 10 years. The American Community Survey is also a mandatory, ongoing statistical survey that samples a small percentage of the population every year giving communities the information they need to plan investments and services. We chose to use 5‐year estimates as these are more precise and are reliable in analyzing small populations. For each zip code, we extracted data on total population, percentage of African Americans in the population, median income, poverty level, and insurance status from the Census Bureau data files.

Local population characteristics at zip code level were mapped to hospitals using hospital service area (HSA) crosswalk files from the Dartmouth Atlas of Health Care.[7, 8] The Dartmouth Atlas defined 3436 HSAs by assigning zip codes to the hospital area where the greatest proportion of its Medicare residents were hospitalized. The number of acute care hospital beds and the number of physicians within the HSA were also obtained from the Dartmouth Atlas. Merging data from these 3 sources generated a dataset that contained information about patient satisfaction scores from a particular hospital, hospital characteristics, and population characteristics of the healthcare market.

Data were summarized as mean and standard deviation (SD). To model the dependence of observations from the same hospital and the correlation between hospitals within the same state due to similar regulations, and to assess the relative contribution of satisfaction scores over time within hospital, hospitals within states, and across states, 3‐level hierarchical regression models were examined.[9, 10] At the within‐hospital level, survey response rate was used as a time‐varying variable in addition to the year of observation. However, only year of observation was used to explore differences in patient satisfaction trajectories between hospitals. At the hospitals‐within‐states level, hospital characteristics and local population characteristics within the HSA were included. At the states level, only random effects were obtained, and no additional variables were included in the models.

Four models were built to assess the relationship between satisfaction scores and predictors. The basic model used only random effects without any predictors to determine the relative contribution of each level (within hospitals, hospitals within states, and across states) to variation in patient satisfaction scores and thus was consistent with the variance component analysis. The first model included the year of observation as a predictor at the within‐hospital level to examine trends in patient satisfaction scores during the observation period. For the second model, we added baseline satisfaction quartiles to the second model, whereas remaining predictors (HSA population, African American percentage in HSA, survey response rate, HSA median income, ownership of hospital, percentage with private any insurance in HSA, acute care hospital beds in HSA, teaching hospital status, and percentage of people living in poverty within HSA) were added in the third model. Quartiles for baseline satisfaction were generated using satisfaction scores from 2007. As a larger number of hospitals reported results for 2008 than for 2007 (2273 vs 3746), we conducted a sensitivity analysis using satisfaction quartiles in 2008 as baseline and examined subsequent trends over time for the 4 models noted above. All multilevel models were specified using the nlme package in R to account for clustering of observations within hospitals and hospitals within states, using hospital and state level random effects.[11]

RESULTS

Of the 4353 hospitals with data for the 7‐year period, the majority were in the Southern region (South = 1669, Midwest = 1239, Northeast = 607, West = 838). Texas had the largest number of hospital (N = 358) followed by California (N = 340). The largest number of hospitals were nonprofit (N = 2637, 60.6%). Mean (SD) patient satisfaction with physician communication was 78.9% (5.7%) in 2007 that increased to 81.7% (5.4%) in 2013. Throughout the observation period, the highest patient satisfaction was in the South (80.6% [6.6%] in 2007 and 83.2% [5.4%] in 2013). Of the 2273 hospitals that reported data in 2007, the mean satisfaction score of the lowest quartile was 72% (3.2%), and the highest quartile was 86.9% (3.2%) (Table 1). As a group, hospitals in the highest quartile in 2007 still had higher satisfaction scores in 2013 than the hospitals in the lowest quartile (85% [4.2%] vs 77% [3.6%], respectively). Only 4 of the 584 hospitals in the lowest quartile in 2007 climbed up to the highest quartile in 2013, whereas 22 hospitals that were in the upper quartile in 2007 dropped to the lowest quartile in 2013.

Characteristics of Hospital by Quartiles of Satisfaction Scores in 2007
CharacteristicQuartiles Based on 2007 Satisfaction Scores
Highest Quartile2nd Quartile3rd QuartileLowest Quartile
  • NOTE: Abbreviations: HSA, hospital service area; IQR, interquartile range; SD, standard deviation.

Total no. of hospitals, N (%)461 (20.3)545 (24.0)683 (30.0)584 (25.7)
Hospital ownership, N (%)    
For profit50 (14.4)60 (17.3)96 (27.7)140 (40.5)
Nonprofit269 (17.4)380 (24.6)515 (33.4)378 (24.5)
Government142 (36.9)105 (27.3)72 (18.7)66 (17.1)
HSA population, in 1,000, median (IQR)33.2 (70.5)88.5 (186)161.8 (374)222.2 (534)
Racial distribution of HSA population, median (IQR)    
White, %82.6 (26.2)82.5 (28.5)74.2 (32.9)66.8 (35.3)
Black, %4.3 (21.7)3.7 (16.3)5.9 (14.8)7.4 (12.1)
Other, %6.4 (7.1)8.8 (10.8)12.9 (19.8)20.0 (33.1)
HSA mean median income in $1,000, mean (SD)44.6 (11.7)52.4 (17.8)58.4 (17.1)57.5 (15.7)
Satisfaction scores (at baseline), mean (SD)86.9 (3.1)81.4 (1.1)77.5 (1.1)72.0 (3.2)
Satisfaction scores (in 2013), mean (SD)85.0 (4.3)82.0 (3.4)79.7 (3.0)77.0 (3.5)
Survey response rate (at baseline), mean (SD)43.2 (19.8)34.5 (9.4)32.6 (8.0)30.3 (7.8)
Survey response rate (20072013), mean (SD)32.8 (7.8)32.6 (7.5)30.8 (6.5)29.3 (6.5)
Percentage with any insurance in HSA, mean (SD)84.0 (5.4)84.8 (6.6)85.5 (6.3)83.9 (6.6)
Teaching hospital, N (%)42 (9.1)155 (28.4)277 (40.5)274 (46.9%)
Acute care hospital beds in HSA (per 1,000), mean (SD)3.2 (1.2)2.6 (0.8)2.5 (0.8)2.4 (0.7)
Number of physicians in HSA (per 100,000), mean (SD)190 (36)197 (43)204 (47)199 (45)
Percentage with poverty in HSA, mean (SD)[7]16.9 (6.6)15.5 (6.5)14.4 (5.7)15.5 (6.0)

Using variance component analysis, we found that 23% of the variation in patient satisfaction scores with physician communication was due to differences between states, 52% was due to differences between hospitals within states, and 24% was due to changes over time within a hospital. When examining time trends of satisfaction during the 7‐year period without adjusting for other predictors, we found a statistically significant increasing trend in patient satisfaction with physician communication (0.33% per year; P < 0.001). We also found a significant negative correlation (0.62, P < 0.001) between the random effects for baseline satisfaction (intercept) and change over time (slope), suggesting that initial patient satisfaction with physicians at a hospital was negatively correlated with subsequent change in satisfaction scores during the observation period.

When examining the effect of satisfaction ranking in 2007, hospitals within the lowest quartile of patient satisfaction in 2007 had significantly larger increase in satisfaction scores during the subsequent period as compared to the hospitals in each of the other 3 quartiles (all P < 0.001, Table 2). The difference in the magnitude of the rate of increase in satisfaction scores was greatest between the lowest quartile and the highest quartile (1.10% per year; P < 0.001). In fact, the highest quartile had a statistically significant absolute decrease in patient satisfaction during the observation period (0.23% per year; P < 0.001, Figure 1).

Results of Multilevel Models for Patient Satisfaction With Physician Scores
VariableModel 1: ; P ValueModel 2: ; P ValueModel 3: ; P Value
  • NOTE: Model 1 = Time only predictor with hospital and state as random effects. Model 2 = Time and baseline satisfaction as predictors with hospital and state as random effects. Model 3 = Time, baseline satisfaction, HSA population, African American percentage in HSA, survey response rate, HSA median income, ownership of hospital, percentage with private insurance in HSA, acute care hospital beds in HSA, teaching hospital status, and percentage of people living in poverty within HSA; hospital and state were included as random effects. As there were far fewer values of satisfaction scores than the number of hospitals, and the number of hospitals were not evenly distributed across all satisfaction score values, the number of hospitals in each quartile is not exactly one‐fourth. Abbreviations: HSA, hospital service area.

Time (in years)0.33; <0.0010.87; <0.0010.89; <0.001
Satisfaction quartiles at baseline   
Highest quartile 12.1; <0.00110.4; <0.001
2nd quartile 7.9; <0.0017.1; <0.001
3rd quartile 4.5; <0.0014.1; <0.001
Lowest quartile (REF) REFREF
Interaction with time   
Highest quartile 1.10; <0.0010.94; <0.001
2nd quartile 0.73; <0.0010.71; <0.001
3rd quartile 0.48; <0.0010.47;<0.001
Survey response rate (%)  0.12; <0.001
Total population, in 10,000  0.002; 0.02
African American (%)  0.004; 0.13
HSA median Income in $10,000  0.02; 0.58
Ownership   
Government (REF)  REF
Nonprofit  0.01; 0.88
For profit  0.21; 0.11
Percentage with insurance in HSA  0.007; 0.27
Acute care beds in HSA (per 1,000)  0.60; <0.001
Physicians in HSA (per 100,000)  0.003; 0.007
Teaching hospital  0.34; 0.001
Percentage in poverty in HSA  0.01; 0.27
Figure 1
Trend in patient satisfaction with physicians during the observation period by quartile membership at baseline. The y‐axis represents the percentage of survey participants who responded that physicians “always” communicated well at a particular hospital. The x‐axis represents the years for which survey data were reported. Hospitals were divided into quartiles based on baseline satisfaction scores.

After adjusting for hospital characteristics and population characteristics of the HSA, the 2007 satisfaction quartiles remained significantly associated with subsequent change in satisfaction scores during the 7‐year observation period (Table 2). In addition, survey response rate, number of physicians, and the number of acute‐care hospital beds within the HSA were positively associated with patient satisfaction, whereas higher HSA population density and being a teaching hospital were negatively associated with patient satisfaction. Using 2008 satisfaction scores as baseline, the results did not change except that the number of physicians in the HSA and being a teaching hospital were no longer associated with satisfaction scores with physicians.

DISCUSSION

Using hierarchical modelling, we have shown that national patient satisfaction scores with physicians have consistently improved since 2007, the year when reporting of satisfaction scores began. We further show that the improvement in satisfaction scores has not been consistent through all hospitals. The largest increase in satisfaction scores was in hospitals that were in the lowest quartile of satisfaction scores in 2007. In contrast, satisfaction scores decreased in hospitals that were in the uppermost quartile of satisfaction scores. The difference between the lowest and uppermost quartile was so large in 2007 that despite the difference in the direction of change in satisfaction scores, hospitals in the uppermost quartile continued to have higher satisfaction scores in 2013 than hospitals in the lowest quartile.

Consistent with our findings for patient satisfaction, other studies have found that public reporting is associated with improvement in healthcare quality measures across nursing homes, physician groups, and hospitals.[12, 13, 14] However, it is unclear how public reporting can change patient satisfaction. The main purpose of public reporting of quality of healthcare measures, such as patient satisfaction with the healthcare they receive, is to generate value by increasing transparency and accountability, thereby increasing the quality of healthcare delivery. Healthcare consumers may also utilize the reported measures to choose providers that deliver high‐quality healthcare. Contrary to expectations, there is very little evidence that consumers choose healthcare facilities based on public reporting, and it is likely that other mechanisms may explain the observed association.[15, 16]

Physicians have historically had low adoption of strategies to improve patient satisfaction and often cite suboptimal data and lack of evidence for data‐driven strategies.[17, 18] Hospitals and healthcare organizations have deployed a broad range of strategies to engage physicians. These include emphasizing relationship between patient satisfaction and patient compliance, complaints and malpractice lawsuits, appealing to physicians' sense of competitiveness by publishing individual provider satisfaction scores, educating physicians on HCAHPS and providing them with regularly updated data, and development of specific techniques for improving patient‐physician interaction.[19, 20, 21, 22, 23, 24] Administrators may also enhance physician engagement by improving physician satisfaction, decreasing their turnover, support development of physicians in administrative leadership roles, and improving financial transparency.[25] Thus, involvement of hospital leadership has been instrumental in encouraging physicians to focus on quality measures including patient satisfaction. Some evidence suggests that public reporting exerts strong influence on hospital leaders for adequate resource allocation, local planning, and improvement efforts.[26, 27, 28]

Perhaps the most intriguing finding in our study is that hospitals in the uppermost quartile of satisfaction scores in 2007 had a statistically significant steady decline in scores during the following period as compared to hospitals in the lowest quartile that had a steady increase. A possible explanation for this finding can be that high‐performing hospitals become complacent and do not invest in developing the effort‐intensive resources required to maintain and improve performance in the physician‐related patient satisfaction domain. These resources may be diverted to competing needs that include addressing improvement efforts for a large number of other publicly reported healthcare quality measures. Thus, an unintended consequence of quality improvement may be that improvement in 1 domain may be at the expense of quality of care in another domain.[29, 30, 31] On the other hand, it is likely that hospitals in the lower quartile see a larger improvement in their scores for the same degree of investment as hospitals in the higher quartiles. It is also likely that hospitals, particularly those in the lowest quartile, develop their individual benchmarks and expend effort that is in line with their perceived need for improvement to achieve their strategic and marketing goals.

Our study has significant implications for the healthcare system, clinical practice, and future research. Whereas public reporting of quality measures is associated with an overall improvement in the reported quality measure, hospitals with high scores may move resources away from that metric or become complacent. Health policy makers need to design policies that encourage all hospitals and providers to perform better or continue to perform well. We further show that differences between hospitals and between local healthcare markets are the biggest factor determining the variation in patient satisfaction with physician communication, and an adjustment in reported score for these factors may be needed. Although local healthcare market factors may not be modifiable, an exchange of knowledge between hospitals with low and high patient satisfaction scores may improve overall satisfaction scores. Similarly, hospitals that are successful in increasing patient satisfaction scores should identify and share useful interventions.

The main strength of our study is that we used data on patient satisfaction with physician communication that were reported annually by most hospitals within the United States. These longitudinal data allowed us to examine not only the effect of public reporting on patient satisfaction with physician communication but also its trend over time. As we had 7 years of data, we were able to eliminate the possibility of regression to mean; an extreme result on first measurement is followed by a second measurement that tends to be closer to the average. Further, we adjusted satisfaction scores based on hospital and local healthcare market characteristics allowing us to compare satisfaction scores across hospitals. However, because units of observation were hospitals and not patients, we could not examine the effect of patient characteristics on satisfaction scores. In addition, HCAHPS surveys have low response rates and may have response and selection bias. Furthermore, we were unable to examine the strategies implemented by hospitals to improve satisfaction scores or the effect of such strategies on satisfaction scores. Data on hospital strategies to increase satisfaction scores are not available for most hospitals and could not have been included in the study.

In summary, we have found that public reporting was followed by an improvement in patient satisfaction scores with physician communication between 2007 and 2013. The rate of improvement was significantly greater in hospitals that had satisfaction scores in the lowest quartiles, whereas hospitals in the highest quartile had a small but statistically significant decline in patient satisfaction scores.

References
  1. Centers for Medicare Medicaid Services. Medicare program; hospital outpatient prospective payment system and CY 2007 payment rates; CY 2007 update to the ambulatory surgical center covered procedures list; Medicare administrative contractors; and reporting hospital quality data for FY 2008 inpatient prospective payment system annual payment update program‐‐HCAHPS survey, SCIP, and mortality. Final rule with comment period and final rule. Fed Regist. 2006;71(226):6795968401.
  2. Giordano LA, Elliott MN, Goldstein E, Lehrman WG, Spencer PA. Development, implementation, and public reporting of the HCAHPS survey. Med Care Res Rev. 2010;67(1):2737.
  3. Siddiqui ZK, Wu AW, Kurbanova N, Qayyum R. Comparison of Hospital Consumer Assessment of Healthcare Providers and Systems patient satisfaction scores for specialty hospitals and general medical hospitals: confounding effect of survey response rate. J Hosp Med. 2014;9(9):590593.
  4. Elliott MN, Lehrman WG, Goldstein EH, et al. Hospital survey shows improvements in patient experience. Health Aff (Millwood). 2010;29(11):20612067.
  5. Centers for Medicare 2010:496829.
  6. Gascon‐Barre M, Demers C, Mirshahi A, Neron S, Zalzal S, Nanci A. The normal liver harbors the vitamin D nuclear receptor in nonparenchymal and biliary epithelial cells. Hepatology. 2003;37(5):10341042.
  7. Singer JD, Willett JB. Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. Oxford, United Kingdom: Oxford University Press; 2003.
  8. Gelman A, Hill J. Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge, United Kingdom: Cambridge University Press; 2007.
  9. nlme: Linear and Nonlinear Mixed Effects Models [computer program]. Version R package version 2015;3:1121.
  10. Smith MA, Wright A, Queram C, Lamb GC. Public reporting helped drive quality improvement in outpatient diabetes care among Wisconsin physician groups. Health Aff (Millwood). 2012;31(3):570577.
  11. Wees PJ, Sanden MW, Ginneken E, Ayanian JZ, Schneider EC, Westert GP. Governing healthcare through performance measurement in Massachusetts and the Netherlands. Health Policy. 2014;116(1):1826.
  12. Werner R, Stuart E, Polsky D. Public reporting drove quality gains at nursing homes. Health Aff (Millwood). 2010;29(9):17061713.
  13. Bardach NS, Hibbard JH, Dudley RA. Users of public reports of hospital quality: who, what, why, and how?: An aggregate analysis of 16 online public reporting Web sites and users' and experts' suggestions for improvement. Agency for Healthcare Research and Quality. Available at: http://archive.ahrq.gov/professionals/quality‐patient‐safety/quality‐resources/value/pubreportusers/index.html. Updated December 2011. Accessed April 2, 2015.
  14. Kaiser Family Foundation. 2008 update on consumers' views of patient safety and quality information. Available at: http://kff.org/health‐reform/poll‐finding/2008‐update‐on‐consumers‐views‐of‐patient‐2/. Published September 30, 2008. Accessed April 2, 2015.
  15. Blumenthal D, Kilo CM. A report card on continuous quality improvement. Milbank Q. 1998;76(4):625648, 511.
  16. Shortell SM, Bennett CL, Byck GR. Assessing the impact of continuous quality improvement on clinical practice: what it will take to accelerate progress. Milbank Q. 1998;76(4):593624, 510.
  17. Rivers PA, Glover SH. Health care competition, strategic mission, and patient satisfaction: research model and propositions. J Health Organ Manag. 2008;22(6):627641.
  18. Kim SS, Kaplowitz S, Johnston MV. The effects of physician empathy on patient satisfaction and compliance. Eval Health Prof. 2004;27(3):237251.
  19. Villar LM, Campo JA, Ranchal I, Lampe E, Romero‐Gomez M. Association between vitamin D and hepatitis C virus infection: a meta‐analysis. World J Gastroenterol. 2013;19(35):59175924.
  20. Stelfox HT, Gandhi TK, Orav EJ, Gustafson ML. The relation of patient satisfaction with complaints against physicians and malpractice lawsuits. Am J Med. 2005;118(10):11261133.
  21. Rodriguez HP, Rodday AM, Marshall RE, Nelson KL, Rogers WH, Safran DG. Relation of patients' experiences with individual physicians to malpractice risk. Int J Qual Health Care. 2008;20(1):512.
  22. Cydulka RK, Tamayo‐Sarver J, Gage A, Bagnoli D. Association of patient satisfaction with complaints and risk management among emergency physicians. J Emerg Med. 2011;41(4):405411.
  23. Bogue RJ, Guarneri JG, Reed M, Bradley K, Hughes J. Secrets of physician satisfaction. Study identifies pressure points and reveals life practices of highly satisfied doctors. Physician Exec. 2006;32(6):3039.
  24. Lindenauer PK, Lagu T, Ross JS, et al. Attitudes of hospital leaders toward publicly reported measures of health care quality. JAMA Intern Med. 2014;174(12):19041911.
  25. Totten AM, Wagner J, Tiwari A, O'Haire C, Griffin J, Walker M. Closing the quality gap: revisiting the state of the science (vol. 5: public reporting as a quality improvement strategy). Evid Rep Technol Assess (Full Rep). 2012(208.5):1645.
  26. Fung CH, Lim YW, Mattke S, Damberg C, Shekelle PG. Systematic review: the evidence that publishing patient care performance data improves quality of care. Ann Intern Med. 2008;148(2):111123.
  27. Bardach NS, Cabana MD. The unintended consequences of quality improvement. Curr Opin Pediatr. 2009;21(6):777782.
  28. Powell AA, White KM, Partin MR, et al. Unintended consequences of implementing a national performance measurement system into local practice. J Gen Intern Med. 2012;27(4):405412.
  29. Riskin L, Campagna JA. Quality assessment by external bodies: intended and unintended impact on healthcare delivery. Curr Opin Anaesthesiol. 2009;22(2):237241.
References
  1. Centers for Medicare Medicaid Services. Medicare program; hospital outpatient prospective payment system and CY 2007 payment rates; CY 2007 update to the ambulatory surgical center covered procedures list; Medicare administrative contractors; and reporting hospital quality data for FY 2008 inpatient prospective payment system annual payment update program‐‐HCAHPS survey, SCIP, and mortality. Final rule with comment period and final rule. Fed Regist. 2006;71(226):6795968401.
  2. Giordano LA, Elliott MN, Goldstein E, Lehrman WG, Spencer PA. Development, implementation, and public reporting of the HCAHPS survey. Med Care Res Rev. 2010;67(1):2737.
  3. Siddiqui ZK, Wu AW, Kurbanova N, Qayyum R. Comparison of Hospital Consumer Assessment of Healthcare Providers and Systems patient satisfaction scores for specialty hospitals and general medical hospitals: confounding effect of survey response rate. J Hosp Med. 2014;9(9):590593.
  4. Elliott MN, Lehrman WG, Goldstein EH, et al. Hospital survey shows improvements in patient experience. Health Aff (Millwood). 2010;29(11):20612067.
  5. Centers for Medicare 2010:496829.
  6. Gascon‐Barre M, Demers C, Mirshahi A, Neron S, Zalzal S, Nanci A. The normal liver harbors the vitamin D nuclear receptor in nonparenchymal and biliary epithelial cells. Hepatology. 2003;37(5):10341042.
  7. Singer JD, Willett JB. Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. Oxford, United Kingdom: Oxford University Press; 2003.
  8. Gelman A, Hill J. Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge, United Kingdom: Cambridge University Press; 2007.
  9. nlme: Linear and Nonlinear Mixed Effects Models [computer program]. Version R package version 2015;3:1121.
  10. Smith MA, Wright A, Queram C, Lamb GC. Public reporting helped drive quality improvement in outpatient diabetes care among Wisconsin physician groups. Health Aff (Millwood). 2012;31(3):570577.
  11. Wees PJ, Sanden MW, Ginneken E, Ayanian JZ, Schneider EC, Westert GP. Governing healthcare through performance measurement in Massachusetts and the Netherlands. Health Policy. 2014;116(1):1826.
  12. Werner R, Stuart E, Polsky D. Public reporting drove quality gains at nursing homes. Health Aff (Millwood). 2010;29(9):17061713.
  13. Bardach NS, Hibbard JH, Dudley RA. Users of public reports of hospital quality: who, what, why, and how?: An aggregate analysis of 16 online public reporting Web sites and users' and experts' suggestions for improvement. Agency for Healthcare Research and Quality. Available at: http://archive.ahrq.gov/professionals/quality‐patient‐safety/quality‐resources/value/pubreportusers/index.html. Updated December 2011. Accessed April 2, 2015.
  14. Kaiser Family Foundation. 2008 update on consumers' views of patient safety and quality information. Available at: http://kff.org/health‐reform/poll‐finding/2008‐update‐on‐consumers‐views‐of‐patient‐2/. Published September 30, 2008. Accessed April 2, 2015.
  15. Blumenthal D, Kilo CM. A report card on continuous quality improvement. Milbank Q. 1998;76(4):625648, 511.
  16. Shortell SM, Bennett CL, Byck GR. Assessing the impact of continuous quality improvement on clinical practice: what it will take to accelerate progress. Milbank Q. 1998;76(4):593624, 510.
  17. Rivers PA, Glover SH. Health care competition, strategic mission, and patient satisfaction: research model and propositions. J Health Organ Manag. 2008;22(6):627641.
  18. Kim SS, Kaplowitz S, Johnston MV. The effects of physician empathy on patient satisfaction and compliance. Eval Health Prof. 2004;27(3):237251.
  19. Villar LM, Campo JA, Ranchal I, Lampe E, Romero‐Gomez M. Association between vitamin D and hepatitis C virus infection: a meta‐analysis. World J Gastroenterol. 2013;19(35):59175924.
  20. Stelfox HT, Gandhi TK, Orav EJ, Gustafson ML. The relation of patient satisfaction with complaints against physicians and malpractice lawsuits. Am J Med. 2005;118(10):11261133.
  21. Rodriguez HP, Rodday AM, Marshall RE, Nelson KL, Rogers WH, Safran DG. Relation of patients' experiences with individual physicians to malpractice risk. Int J Qual Health Care. 2008;20(1):512.
  22. Cydulka RK, Tamayo‐Sarver J, Gage A, Bagnoli D. Association of patient satisfaction with complaints and risk management among emergency physicians. J Emerg Med. 2011;41(4):405411.
  23. Bogue RJ, Guarneri JG, Reed M, Bradley K, Hughes J. Secrets of physician satisfaction. Study identifies pressure points and reveals life practices of highly satisfied doctors. Physician Exec. 2006;32(6):3039.
  24. Lindenauer PK, Lagu T, Ross JS, et al. Attitudes of hospital leaders toward publicly reported measures of health care quality. JAMA Intern Med. 2014;174(12):19041911.
  25. Totten AM, Wagner J, Tiwari A, O'Haire C, Griffin J, Walker M. Closing the quality gap: revisiting the state of the science (vol. 5: public reporting as a quality improvement strategy). Evid Rep Technol Assess (Full Rep). 2012(208.5):1645.
  26. Fung CH, Lim YW, Mattke S, Damberg C, Shekelle PG. Systematic review: the evidence that publishing patient care performance data improves quality of care. Ann Intern Med. 2008;148(2):111123.
  27. Bardach NS, Cabana MD. The unintended consequences of quality improvement. Curr Opin Pediatr. 2009;21(6):777782.
  28. Powell AA, White KM, Partin MR, et al. Unintended consequences of implementing a national performance measurement system into local practice. J Gen Intern Med. 2012;27(4):405412.
  29. Riskin L, Campagna JA. Quality assessment by external bodies: intended and unintended impact on healthcare delivery. Curr Opin Anaesthesiol. 2009;22(2):237241.
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Recall issued on U.S. Compounding sterile products

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U.S. Compounding Inc. is issuing a recall on all sterile products distributed between March 14, 2015, and Sept. 9, 2015, according to a safety alert from the Food and Drug Administration.

The product recall applies to all aseptically compounded and packaged USC sterile products distributed to hospitals, patients, providers, and clinics because of FDA concerns over lack of sterility assurance. Because of the risk to any patients using a compromised product, USC is proceeding voluntarily with the recall.

Patients or providers who received sterile compounded products from USC within the recall date and have not expired should stop using the products immediately, quarantine the product until proper disposal is possible, and contact USC as soon as possible to coordinate a plan to return the product.

Patients should also contact their physicians if they have experienced any issues relating to the recalled product, and physicians should contact patients to inform them of the recall and to advise them to stop using the product.

The USC recall does not apply to any nonsterile compounded medication produced or distributed by USC, according to the FDA alert.

Find the full safety alert on the FDA website.

[email protected]

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U.S. Compounding Inc. is issuing a recall on all sterile products distributed between March 14, 2015, and Sept. 9, 2015, according to a safety alert from the Food and Drug Administration.

The product recall applies to all aseptically compounded and packaged USC sterile products distributed to hospitals, patients, providers, and clinics because of FDA concerns over lack of sterility assurance. Because of the risk to any patients using a compromised product, USC is proceeding voluntarily with the recall.

Patients or providers who received sterile compounded products from USC within the recall date and have not expired should stop using the products immediately, quarantine the product until proper disposal is possible, and contact USC as soon as possible to coordinate a plan to return the product.

Patients should also contact their physicians if they have experienced any issues relating to the recalled product, and physicians should contact patients to inform them of the recall and to advise them to stop using the product.

The USC recall does not apply to any nonsterile compounded medication produced or distributed by USC, according to the FDA alert.

Find the full safety alert on the FDA website.

[email protected]

U.S. Compounding Inc. is issuing a recall on all sterile products distributed between March 14, 2015, and Sept. 9, 2015, according to a safety alert from the Food and Drug Administration.

The product recall applies to all aseptically compounded and packaged USC sterile products distributed to hospitals, patients, providers, and clinics because of FDA concerns over lack of sterility assurance. Because of the risk to any patients using a compromised product, USC is proceeding voluntarily with the recall.

Patients or providers who received sterile compounded products from USC within the recall date and have not expired should stop using the products immediately, quarantine the product until proper disposal is possible, and contact USC as soon as possible to coordinate a plan to return the product.

Patients should also contact their physicians if they have experienced any issues relating to the recalled product, and physicians should contact patients to inform them of the recall and to advise them to stop using the product.

The USC recall does not apply to any nonsterile compounded medication produced or distributed by USC, according to the FDA alert.

Find the full safety alert on the FDA website.

[email protected]

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Making cystoscopy accessible in gynecology

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Making cystoscopy accessible in gynecology

Gynecologists have used the cystoscope for decades to examine the urethra and bladder, despite urology’s traditional claim that the procedure falls under its purview.

The lines between urology and gynecology have blurred, and cystoscopy has become an even more important and natural part of gynecology’s realm.

Dr. Neeraj Kohli

During the past 2 decades, gynecologists have become even more involved both in evaluating problems such as overactive bladder symptoms, recurrent urinary tract infection, and bladder/pelvic pain, and in performing pelvic reconstruction procedures.

The American College of Obstetricians and Gynecologists has recommended adoption of cystoscopy by ob.gyns. for diagnostic purposes and some operative indications – most importantly for ruling out cystotomy and intravesical or intraurethral suture or mesh placement, and for verifying ureteral patency. ACOG’s 2007 committee opinion on the role of cystourethroscopy in the generalist obstetrican-gyncecologist practice was reaffirmed in 2015 (Obstet Gynecol. 2007 Jul;110[1]:221-24.).

Yet, to a large extent, cystoscopy has been a good fit in principle, rather than in practice. Training in residency programs has been limited, and traditional cystoscopy can be cumbersome and time consuming. It also is costly, requiring equipment – including a light source and camera – and service contracts that may make it too expensive for many gynecologists to set up and maintain in their offices.

Cystoscopy has therefore often required referral to urologists, resulting in additional appointments, patient inconvenience, and increased costs to the health care system. The learning curve for traditional cystoscopy has been relatively steep, and delays in diagnosis and management as a result of referrals are not uncommon.

Courtesy Emmy Medical
A standard three-way Foley catheter used in OR cases today (top) is shown, along with a standard cystoscope employed today for cystoscopy (bottom).

Moreover, cystoscopes were never designed to be safe and comfortable for women. Men and women have different anatomy, yet there always has been a one-size-fits-all device. The flexible cystoscope commonly used by urologists was designed for the unique length and anatomy of the male urethra.

A new catheter-based system specifically for female cystoscopy and simple diagnostic visualization of the female bladder and ureters is now available. The system – called CystoSure (Emmy Medical) – comprises a single-use silicone access catheter (18 French today, 16 French in development) and a reusable 2.7 mm, 70-degree rigid-rod lens optic.

The CystoSure catheter is of shorter length than the traditional catheter is, and it adds a fourth self-sealing port; this fourth port allows it to function both as a three-way urinary catheter and as an access sheath for female cystoscopy. When the scope is not inserted, the port remains sealed. The catheter design allows for multiple passes of the Cystosure scope without additional trauma, infection risk, or discomfort.

Additionally, the distal tip of the catheter is open with a flat pancake-shaped balloon that ensures that the scope is consistently placed and fixed at the trigonal ridge. Since the scope tip cannot advance beyond the lower bladder segment, bladder perforation and trauma risk are negligible.

Comprehensive evaluation of the entire bladder lumen including the trigone and ureters is performed with a simple 360-degree rotation of the scope, with minimal manipulation, compared with the traditional in-and-out technique used to circumferentially view sections of the bladder surface.

Courtesy Emmy Medical
A pancake-shaped balloon keeps the Cystosure scope tip low in the bladder to ensure easy and safe visualization of the ureteral openings.

Full evaluation of the bladder and ureters takes less than 1 minute, and the urethra can be visualized, if desired, by decompressing the distal balloon and removing the entire unit.

The new cystoscopy procedure involves no assembly and is safer, simpler and more consistent than traditional cystoscopy – factors that we hope will make it easier to perform more often in the office for evaluation of bladder conditions (with or without simple cystometrogram testing), as well as during laparoscopic surgery, hysterectomy, incontinence/prolapse surgery, and other urologic procedures to ensure that the bladder and ureters are uninjured and to verify bilateral ureteral flow.

From May 2015 through the mid-summer, we completed and reviewed 55 cases of cystoscopy with Cystosure at several Harvard hospitals, including Brigham and Women’s Faulkner Hospital, Boston, the majority of them in the operating room during sling procedures and other laparoscopic surgeries. We achieved complete bladder and ureter visualization in all cases – including a small number of procedures done in the office setting – with no complications and an extremely short learning curve. For most physicians, it was possible to learn how to perform comprehensive cystoscopy with Cystosure in just one case.

 

 

Intraoperative cystoscopy

Reported rates of ureteral and bladder injury during gynecologic procedures have varied by study, type of injury, and complexity of surgery.

In an early report on the usefulness of intra-operative cystoscopy, Dr. Sergio Ribeirio and his colleagues reported that the procedure enabled early recognition and treatment of ureteral injuries in four of a series of 118 patients (3.4%) undergoing total laparoscopic hysterectomy with vault suspension (Hum Reprod. 1999 Jul;14[7]:1727-9.)

A review of 236,392 patients who underwent various laparoscopic gynecologic operations during 1994-2000 showed a urinary tract injury rate ranging from 0.02% to 1.7% (Clin Obstet Gynecol. 2002 Jun;45[2]:469- 80.). And, in another review specifically of ureteral injury in laparoscopic pelvic surgery, incidences of injury ranged from less than 1% to 2% (Obstet Gynecol Surv. 2003 Dec;58[12]:794-9.).

Other studies on the use of cystoscopy have reported injury rates up to and above 3%. In most cases, such reports include the incidence of bladder injury, which is less uncommon. Intraoperative bladder perforation occurs in 3%-9% of cases of midurethral retropubic sling procedures, for instance, according to ACOG’s opinion paper.

In a recent chart review of almost 1,000 women who underwent uterosacral colpopexy for pelvic organ prolapse, on the other hand, the intraoperative bladder injury rate was only 1%, and the rate of ureteral kinking/obstruction requiring stitch removal was significantly higher at 4.5% (Am J Obstet Gynecol. 2015;212:603.e1-7.).

Urinary tract injuries can have serious implications in terms of morbidity and litigation. When an injury is detected intraoperatively, the surgeon can repair it immediately and reduce the risk of complications and readmissions. The ureteral kinking detected in the previously mentioned study would not have been diagnosed without routine cystoscopy; nor would most cases of inadvertent suture or mesh placement in the bladder or urethral lumen.

The advisability of performing cystoscopy routinely in all gynecologic surgical procedures has been debated and should be studied further. However, given the advantages of early detection and the new availability of relatively simple and inexpensive cystoscopy, it is now possible – and will likely be beneficial – to move toward more routine use.

Currently, cystoscopy is performed in only a minority of indicated cases. In the 2003 review cited above from Obstetrical & Gynecological Survey, the ureteral injuries that occurred were identified intraoperatively in only 8.6% of the cases. And in an additional systematic literature review of urinary tract injury from gynecologic surgery, only 17 of the 47 studies included in the review employed routine intraoperative cystoscopy (Obstet Gynecol. 2006 Jun;107[6]:1366-72.).

A survey of ob.gyn residents presented at the ACOG meeting in May 2015 similarly showed that for hysterectomy, universal cystoscopy (defined as being performed in more than 90% of cases) was performed in the residents’ training settings for only a fraction of various types of hysterectomies, from vaginal hysterectomy to total laparoscopic hysterectomy.

Yet, in looking toward their future practice, the residents indicated in the survey that they plan to perform universal cystoscopy more frequently. The majority of them – almost 80% – had been involved with a hysterectomy having a bladder or ureter injury, according to the survey.

The Cystosure system facilitates a complete check of ureteral patency and bladder integrity. The system’s three-way catheter can be placed once and used for multiple passes of the cystoscope as well as for intraoperative retrograde fill of the bladder, postoperative drainage, and IV-based hands-free backfill voiding trials prior to discharge. The catheter’s red balloon port accepts the standard 5 cc syringe, and the blue inflow port provides a universal IV/cysto tubing fitting. The yellow drainage port may be attached to a standardized urinary drainage bag.

With Cystosure, a postoperative voiding trial thus becomes simpler and more efficient than it has in the past. Our nurses can clamp the outflow port, attach the IV bag to the inflow port, and briefly turn their attention elsewhere while the bladder fills hands free. The catheter is then removed, and the patient is allowed to void.

In the office

In the office, Cystosure can similarly make the evaluation of conditions like overactive bladder, urinary incontinence, incomplete bladder emptying, and recurrent urinary tract infections much easier and less expensive, enabling more gynecologists to take the lead in diagnosis.

Currently, there are various methods for performing cystometric testing. One technique, sometimes called “poor man’s cystometry,” involves placing a Foley red rubber catheter in the bladder, attaching a large syringe with the plunger removed, filling the bladder by pour technique, and monitoring the patient’s described sensations of bladder fullness and urge to urinate. This basic test can provide useful information about bladder functioning; patients with overactive bladder feel sensation at much smaller volumes than do patients with neurogenic bladder, for instance.

 

 

Courtesy Emmy Medical
The Cystosure catheter is based on the design of the standard Foley catheter but adds a fourth port (purple ring) where a scope can be inserted for cystoscopy.

Yet, while the technique is simple and cheap, it is far from precise and may be misleading. It provides for a fast fill of the bladder in that water enters the bladder as fast as gravity allows. The rapid infusion can sometimes cause an artifact in the patient’s sensation – a significant feeling of pressure or fullness that is premature.

The more-sophisticated technique, multichannel urodynamics, pumps fluid at a slower, controlled rate and provides more accurate information. Yet, it requires expensive equipment, more time, and special expertise. It has not been universally accessible and relevant to the ob.gyn.’s office.

Cystosure bridges the gap between the accurate but costly multichannel urodynamics and the simple but less accurate fast-fill testing method. The nurse can place the Cystosure catheter, attach IV tubing to the inflow port, and then control the drip rate, emulating the pump of the complex urodynamics equipment. When the patient indicates fullness and the overactive bladder/incontinence evaluation is completed, the physician may immediately proceed with simple diagnostic cystoscopy without any further urethral manipulation.

The system can also be coupled to an LED-based battery light source and/or attached to a smartphone/iPad, so that cystoscopy can be performed in any room or at bedside without large bulky equipment and cords. Images and video can be saved and shared from remote locations or used for documentation or teaching.

Dr. Kohli is medical director of Boston Urogyn in Wellesley, Mass., an ob.gyn. staff member at Brigham and Women's Hospital/Newton Wellesley Hospital, and assistant professor of ob.gyn. at Harvard Medical School in Boston. He serves as chief medical officer at Emmy Medical, Holliston, Mass., which manufactures Cystosure.

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Gynecologists have used the cystoscope for decades to examine the urethra and bladder, despite urology’s traditional claim that the procedure falls under its purview.

The lines between urology and gynecology have blurred, and cystoscopy has become an even more important and natural part of gynecology’s realm.

Dr. Neeraj Kohli

During the past 2 decades, gynecologists have become even more involved both in evaluating problems such as overactive bladder symptoms, recurrent urinary tract infection, and bladder/pelvic pain, and in performing pelvic reconstruction procedures.

The American College of Obstetricians and Gynecologists has recommended adoption of cystoscopy by ob.gyns. for diagnostic purposes and some operative indications – most importantly for ruling out cystotomy and intravesical or intraurethral suture or mesh placement, and for verifying ureteral patency. ACOG’s 2007 committee opinion on the role of cystourethroscopy in the generalist obstetrican-gyncecologist practice was reaffirmed in 2015 (Obstet Gynecol. 2007 Jul;110[1]:221-24.).

Yet, to a large extent, cystoscopy has been a good fit in principle, rather than in practice. Training in residency programs has been limited, and traditional cystoscopy can be cumbersome and time consuming. It also is costly, requiring equipment – including a light source and camera – and service contracts that may make it too expensive for many gynecologists to set up and maintain in their offices.

Cystoscopy has therefore often required referral to urologists, resulting in additional appointments, patient inconvenience, and increased costs to the health care system. The learning curve for traditional cystoscopy has been relatively steep, and delays in diagnosis and management as a result of referrals are not uncommon.

Courtesy Emmy Medical
A standard three-way Foley catheter used in OR cases today (top) is shown, along with a standard cystoscope employed today for cystoscopy (bottom).

Moreover, cystoscopes were never designed to be safe and comfortable for women. Men and women have different anatomy, yet there always has been a one-size-fits-all device. The flexible cystoscope commonly used by urologists was designed for the unique length and anatomy of the male urethra.

A new catheter-based system specifically for female cystoscopy and simple diagnostic visualization of the female bladder and ureters is now available. The system – called CystoSure (Emmy Medical) – comprises a single-use silicone access catheter (18 French today, 16 French in development) and a reusable 2.7 mm, 70-degree rigid-rod lens optic.

The CystoSure catheter is of shorter length than the traditional catheter is, and it adds a fourth self-sealing port; this fourth port allows it to function both as a three-way urinary catheter and as an access sheath for female cystoscopy. When the scope is not inserted, the port remains sealed. The catheter design allows for multiple passes of the Cystosure scope without additional trauma, infection risk, or discomfort.

Additionally, the distal tip of the catheter is open with a flat pancake-shaped balloon that ensures that the scope is consistently placed and fixed at the trigonal ridge. Since the scope tip cannot advance beyond the lower bladder segment, bladder perforation and trauma risk are negligible.

Comprehensive evaluation of the entire bladder lumen including the trigone and ureters is performed with a simple 360-degree rotation of the scope, with minimal manipulation, compared with the traditional in-and-out technique used to circumferentially view sections of the bladder surface.

Courtesy Emmy Medical
A pancake-shaped balloon keeps the Cystosure scope tip low in the bladder to ensure easy and safe visualization of the ureteral openings.

Full evaluation of the bladder and ureters takes less than 1 minute, and the urethra can be visualized, if desired, by decompressing the distal balloon and removing the entire unit.

The new cystoscopy procedure involves no assembly and is safer, simpler and more consistent than traditional cystoscopy – factors that we hope will make it easier to perform more often in the office for evaluation of bladder conditions (with or without simple cystometrogram testing), as well as during laparoscopic surgery, hysterectomy, incontinence/prolapse surgery, and other urologic procedures to ensure that the bladder and ureters are uninjured and to verify bilateral ureteral flow.

From May 2015 through the mid-summer, we completed and reviewed 55 cases of cystoscopy with Cystosure at several Harvard hospitals, including Brigham and Women’s Faulkner Hospital, Boston, the majority of them in the operating room during sling procedures and other laparoscopic surgeries. We achieved complete bladder and ureter visualization in all cases – including a small number of procedures done in the office setting – with no complications and an extremely short learning curve. For most physicians, it was possible to learn how to perform comprehensive cystoscopy with Cystosure in just one case.

 

 

Intraoperative cystoscopy

Reported rates of ureteral and bladder injury during gynecologic procedures have varied by study, type of injury, and complexity of surgery.

In an early report on the usefulness of intra-operative cystoscopy, Dr. Sergio Ribeirio and his colleagues reported that the procedure enabled early recognition and treatment of ureteral injuries in four of a series of 118 patients (3.4%) undergoing total laparoscopic hysterectomy with vault suspension (Hum Reprod. 1999 Jul;14[7]:1727-9.)

A review of 236,392 patients who underwent various laparoscopic gynecologic operations during 1994-2000 showed a urinary tract injury rate ranging from 0.02% to 1.7% (Clin Obstet Gynecol. 2002 Jun;45[2]:469- 80.). And, in another review specifically of ureteral injury in laparoscopic pelvic surgery, incidences of injury ranged from less than 1% to 2% (Obstet Gynecol Surv. 2003 Dec;58[12]:794-9.).

Other studies on the use of cystoscopy have reported injury rates up to and above 3%. In most cases, such reports include the incidence of bladder injury, which is less uncommon. Intraoperative bladder perforation occurs in 3%-9% of cases of midurethral retropubic sling procedures, for instance, according to ACOG’s opinion paper.

In a recent chart review of almost 1,000 women who underwent uterosacral colpopexy for pelvic organ prolapse, on the other hand, the intraoperative bladder injury rate was only 1%, and the rate of ureteral kinking/obstruction requiring stitch removal was significantly higher at 4.5% (Am J Obstet Gynecol. 2015;212:603.e1-7.).

Urinary tract injuries can have serious implications in terms of morbidity and litigation. When an injury is detected intraoperatively, the surgeon can repair it immediately and reduce the risk of complications and readmissions. The ureteral kinking detected in the previously mentioned study would not have been diagnosed without routine cystoscopy; nor would most cases of inadvertent suture or mesh placement in the bladder or urethral lumen.

The advisability of performing cystoscopy routinely in all gynecologic surgical procedures has been debated and should be studied further. However, given the advantages of early detection and the new availability of relatively simple and inexpensive cystoscopy, it is now possible – and will likely be beneficial – to move toward more routine use.

Currently, cystoscopy is performed in only a minority of indicated cases. In the 2003 review cited above from Obstetrical & Gynecological Survey, the ureteral injuries that occurred were identified intraoperatively in only 8.6% of the cases. And in an additional systematic literature review of urinary tract injury from gynecologic surgery, only 17 of the 47 studies included in the review employed routine intraoperative cystoscopy (Obstet Gynecol. 2006 Jun;107[6]:1366-72.).

A survey of ob.gyn residents presented at the ACOG meeting in May 2015 similarly showed that for hysterectomy, universal cystoscopy (defined as being performed in more than 90% of cases) was performed in the residents’ training settings for only a fraction of various types of hysterectomies, from vaginal hysterectomy to total laparoscopic hysterectomy.

Yet, in looking toward their future practice, the residents indicated in the survey that they plan to perform universal cystoscopy more frequently. The majority of them – almost 80% – had been involved with a hysterectomy having a bladder or ureter injury, according to the survey.

The Cystosure system facilitates a complete check of ureteral patency and bladder integrity. The system’s three-way catheter can be placed once and used for multiple passes of the cystoscope as well as for intraoperative retrograde fill of the bladder, postoperative drainage, and IV-based hands-free backfill voiding trials prior to discharge. The catheter’s red balloon port accepts the standard 5 cc syringe, and the blue inflow port provides a universal IV/cysto tubing fitting. The yellow drainage port may be attached to a standardized urinary drainage bag.

With Cystosure, a postoperative voiding trial thus becomes simpler and more efficient than it has in the past. Our nurses can clamp the outflow port, attach the IV bag to the inflow port, and briefly turn their attention elsewhere while the bladder fills hands free. The catheter is then removed, and the patient is allowed to void.

In the office

In the office, Cystosure can similarly make the evaluation of conditions like overactive bladder, urinary incontinence, incomplete bladder emptying, and recurrent urinary tract infections much easier and less expensive, enabling more gynecologists to take the lead in diagnosis.

Currently, there are various methods for performing cystometric testing. One technique, sometimes called “poor man’s cystometry,” involves placing a Foley red rubber catheter in the bladder, attaching a large syringe with the plunger removed, filling the bladder by pour technique, and monitoring the patient’s described sensations of bladder fullness and urge to urinate. This basic test can provide useful information about bladder functioning; patients with overactive bladder feel sensation at much smaller volumes than do patients with neurogenic bladder, for instance.

 

 

Courtesy Emmy Medical
The Cystosure catheter is based on the design of the standard Foley catheter but adds a fourth port (purple ring) where a scope can be inserted for cystoscopy.

Yet, while the technique is simple and cheap, it is far from precise and may be misleading. It provides for a fast fill of the bladder in that water enters the bladder as fast as gravity allows. The rapid infusion can sometimes cause an artifact in the patient’s sensation – a significant feeling of pressure or fullness that is premature.

The more-sophisticated technique, multichannel urodynamics, pumps fluid at a slower, controlled rate and provides more accurate information. Yet, it requires expensive equipment, more time, and special expertise. It has not been universally accessible and relevant to the ob.gyn.’s office.

Cystosure bridges the gap between the accurate but costly multichannel urodynamics and the simple but less accurate fast-fill testing method. The nurse can place the Cystosure catheter, attach IV tubing to the inflow port, and then control the drip rate, emulating the pump of the complex urodynamics equipment. When the patient indicates fullness and the overactive bladder/incontinence evaluation is completed, the physician may immediately proceed with simple diagnostic cystoscopy without any further urethral manipulation.

The system can also be coupled to an LED-based battery light source and/or attached to a smartphone/iPad, so that cystoscopy can be performed in any room or at bedside without large bulky equipment and cords. Images and video can be saved and shared from remote locations or used for documentation or teaching.

Dr. Kohli is medical director of Boston Urogyn in Wellesley, Mass., an ob.gyn. staff member at Brigham and Women's Hospital/Newton Wellesley Hospital, and assistant professor of ob.gyn. at Harvard Medical School in Boston. He serves as chief medical officer at Emmy Medical, Holliston, Mass., which manufactures Cystosure.

Gynecologists have used the cystoscope for decades to examine the urethra and bladder, despite urology’s traditional claim that the procedure falls under its purview.

The lines between urology and gynecology have blurred, and cystoscopy has become an even more important and natural part of gynecology’s realm.

Dr. Neeraj Kohli

During the past 2 decades, gynecologists have become even more involved both in evaluating problems such as overactive bladder symptoms, recurrent urinary tract infection, and bladder/pelvic pain, and in performing pelvic reconstruction procedures.

The American College of Obstetricians and Gynecologists has recommended adoption of cystoscopy by ob.gyns. for diagnostic purposes and some operative indications – most importantly for ruling out cystotomy and intravesical or intraurethral suture or mesh placement, and for verifying ureteral patency. ACOG’s 2007 committee opinion on the role of cystourethroscopy in the generalist obstetrican-gyncecologist practice was reaffirmed in 2015 (Obstet Gynecol. 2007 Jul;110[1]:221-24.).

Yet, to a large extent, cystoscopy has been a good fit in principle, rather than in practice. Training in residency programs has been limited, and traditional cystoscopy can be cumbersome and time consuming. It also is costly, requiring equipment – including a light source and camera – and service contracts that may make it too expensive for many gynecologists to set up and maintain in their offices.

Cystoscopy has therefore often required referral to urologists, resulting in additional appointments, patient inconvenience, and increased costs to the health care system. The learning curve for traditional cystoscopy has been relatively steep, and delays in diagnosis and management as a result of referrals are not uncommon.

Courtesy Emmy Medical
A standard three-way Foley catheter used in OR cases today (top) is shown, along with a standard cystoscope employed today for cystoscopy (bottom).

Moreover, cystoscopes were never designed to be safe and comfortable for women. Men and women have different anatomy, yet there always has been a one-size-fits-all device. The flexible cystoscope commonly used by urologists was designed for the unique length and anatomy of the male urethra.

A new catheter-based system specifically for female cystoscopy and simple diagnostic visualization of the female bladder and ureters is now available. The system – called CystoSure (Emmy Medical) – comprises a single-use silicone access catheter (18 French today, 16 French in development) and a reusable 2.7 mm, 70-degree rigid-rod lens optic.

The CystoSure catheter is of shorter length than the traditional catheter is, and it adds a fourth self-sealing port; this fourth port allows it to function both as a three-way urinary catheter and as an access sheath for female cystoscopy. When the scope is not inserted, the port remains sealed. The catheter design allows for multiple passes of the Cystosure scope without additional trauma, infection risk, or discomfort.

Additionally, the distal tip of the catheter is open with a flat pancake-shaped balloon that ensures that the scope is consistently placed and fixed at the trigonal ridge. Since the scope tip cannot advance beyond the lower bladder segment, bladder perforation and trauma risk are negligible.

Comprehensive evaluation of the entire bladder lumen including the trigone and ureters is performed with a simple 360-degree rotation of the scope, with minimal manipulation, compared with the traditional in-and-out technique used to circumferentially view sections of the bladder surface.

Courtesy Emmy Medical
A pancake-shaped balloon keeps the Cystosure scope tip low in the bladder to ensure easy and safe visualization of the ureteral openings.

Full evaluation of the bladder and ureters takes less than 1 minute, and the urethra can be visualized, if desired, by decompressing the distal balloon and removing the entire unit.

The new cystoscopy procedure involves no assembly and is safer, simpler and more consistent than traditional cystoscopy – factors that we hope will make it easier to perform more often in the office for evaluation of bladder conditions (with or without simple cystometrogram testing), as well as during laparoscopic surgery, hysterectomy, incontinence/prolapse surgery, and other urologic procedures to ensure that the bladder and ureters are uninjured and to verify bilateral ureteral flow.

From May 2015 through the mid-summer, we completed and reviewed 55 cases of cystoscopy with Cystosure at several Harvard hospitals, including Brigham and Women’s Faulkner Hospital, Boston, the majority of them in the operating room during sling procedures and other laparoscopic surgeries. We achieved complete bladder and ureter visualization in all cases – including a small number of procedures done in the office setting – with no complications and an extremely short learning curve. For most physicians, it was possible to learn how to perform comprehensive cystoscopy with Cystosure in just one case.

 

 

Intraoperative cystoscopy

Reported rates of ureteral and bladder injury during gynecologic procedures have varied by study, type of injury, and complexity of surgery.

In an early report on the usefulness of intra-operative cystoscopy, Dr. Sergio Ribeirio and his colleagues reported that the procedure enabled early recognition and treatment of ureteral injuries in four of a series of 118 patients (3.4%) undergoing total laparoscopic hysterectomy with vault suspension (Hum Reprod. 1999 Jul;14[7]:1727-9.)

A review of 236,392 patients who underwent various laparoscopic gynecologic operations during 1994-2000 showed a urinary tract injury rate ranging from 0.02% to 1.7% (Clin Obstet Gynecol. 2002 Jun;45[2]:469- 80.). And, in another review specifically of ureteral injury in laparoscopic pelvic surgery, incidences of injury ranged from less than 1% to 2% (Obstet Gynecol Surv. 2003 Dec;58[12]:794-9.).

Other studies on the use of cystoscopy have reported injury rates up to and above 3%. In most cases, such reports include the incidence of bladder injury, which is less uncommon. Intraoperative bladder perforation occurs in 3%-9% of cases of midurethral retropubic sling procedures, for instance, according to ACOG’s opinion paper.

In a recent chart review of almost 1,000 women who underwent uterosacral colpopexy for pelvic organ prolapse, on the other hand, the intraoperative bladder injury rate was only 1%, and the rate of ureteral kinking/obstruction requiring stitch removal was significantly higher at 4.5% (Am J Obstet Gynecol. 2015;212:603.e1-7.).

Urinary tract injuries can have serious implications in terms of morbidity and litigation. When an injury is detected intraoperatively, the surgeon can repair it immediately and reduce the risk of complications and readmissions. The ureteral kinking detected in the previously mentioned study would not have been diagnosed without routine cystoscopy; nor would most cases of inadvertent suture or mesh placement in the bladder or urethral lumen.

The advisability of performing cystoscopy routinely in all gynecologic surgical procedures has been debated and should be studied further. However, given the advantages of early detection and the new availability of relatively simple and inexpensive cystoscopy, it is now possible – and will likely be beneficial – to move toward more routine use.

Currently, cystoscopy is performed in only a minority of indicated cases. In the 2003 review cited above from Obstetrical & Gynecological Survey, the ureteral injuries that occurred were identified intraoperatively in only 8.6% of the cases. And in an additional systematic literature review of urinary tract injury from gynecologic surgery, only 17 of the 47 studies included in the review employed routine intraoperative cystoscopy (Obstet Gynecol. 2006 Jun;107[6]:1366-72.).

A survey of ob.gyn residents presented at the ACOG meeting in May 2015 similarly showed that for hysterectomy, universal cystoscopy (defined as being performed in more than 90% of cases) was performed in the residents’ training settings for only a fraction of various types of hysterectomies, from vaginal hysterectomy to total laparoscopic hysterectomy.

Yet, in looking toward their future practice, the residents indicated in the survey that they plan to perform universal cystoscopy more frequently. The majority of them – almost 80% – had been involved with a hysterectomy having a bladder or ureter injury, according to the survey.

The Cystosure system facilitates a complete check of ureteral patency and bladder integrity. The system’s three-way catheter can be placed once and used for multiple passes of the cystoscope as well as for intraoperative retrograde fill of the bladder, postoperative drainage, and IV-based hands-free backfill voiding trials prior to discharge. The catheter’s red balloon port accepts the standard 5 cc syringe, and the blue inflow port provides a universal IV/cysto tubing fitting. The yellow drainage port may be attached to a standardized urinary drainage bag.

With Cystosure, a postoperative voiding trial thus becomes simpler and more efficient than it has in the past. Our nurses can clamp the outflow port, attach the IV bag to the inflow port, and briefly turn their attention elsewhere while the bladder fills hands free. The catheter is then removed, and the patient is allowed to void.

In the office

In the office, Cystosure can similarly make the evaluation of conditions like overactive bladder, urinary incontinence, incomplete bladder emptying, and recurrent urinary tract infections much easier and less expensive, enabling more gynecologists to take the lead in diagnosis.

Currently, there are various methods for performing cystometric testing. One technique, sometimes called “poor man’s cystometry,” involves placing a Foley red rubber catheter in the bladder, attaching a large syringe with the plunger removed, filling the bladder by pour technique, and monitoring the patient’s described sensations of bladder fullness and urge to urinate. This basic test can provide useful information about bladder functioning; patients with overactive bladder feel sensation at much smaller volumes than do patients with neurogenic bladder, for instance.

 

 

Courtesy Emmy Medical
The Cystosure catheter is based on the design of the standard Foley catheter but adds a fourth port (purple ring) where a scope can be inserted for cystoscopy.

Yet, while the technique is simple and cheap, it is far from precise and may be misleading. It provides for a fast fill of the bladder in that water enters the bladder as fast as gravity allows. The rapid infusion can sometimes cause an artifact in the patient’s sensation – a significant feeling of pressure or fullness that is premature.

The more-sophisticated technique, multichannel urodynamics, pumps fluid at a slower, controlled rate and provides more accurate information. Yet, it requires expensive equipment, more time, and special expertise. It has not been universally accessible and relevant to the ob.gyn.’s office.

Cystosure bridges the gap between the accurate but costly multichannel urodynamics and the simple but less accurate fast-fill testing method. The nurse can place the Cystosure catheter, attach IV tubing to the inflow port, and then control the drip rate, emulating the pump of the complex urodynamics equipment. When the patient indicates fullness and the overactive bladder/incontinence evaluation is completed, the physician may immediately proceed with simple diagnostic cystoscopy without any further urethral manipulation.

The system can also be coupled to an LED-based battery light source and/or attached to a smartphone/iPad, so that cystoscopy can be performed in any room or at bedside without large bulky equipment and cords. Images and video can be saved and shared from remote locations or used for documentation or teaching.

Dr. Kohli is medical director of Boston Urogyn in Wellesley, Mass., an ob.gyn. staff member at Brigham and Women's Hospital/Newton Wellesley Hospital, and assistant professor of ob.gyn. at Harvard Medical School in Boston. He serves as chief medical officer at Emmy Medical, Holliston, Mass., which manufactures Cystosure.

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In 2012, the AAGL issued Guidelines for Intraoperative Cystoscopy in Laparoscopic Hysterectomy (J Minim Invasive Gynecol. 2012 Jul-Aug;19[4]:407-11.). In this AAGL report, a meta-analysis noted 27 published trials comprising 3,643 cases. Laparoscopic hysterectomy was associated with an increased risk of urinary tract injury when compared with abdominal hysterectomy (odds ratio, 2.61; 95% confidence interval, 1.22-5.60), according to the meta-analysis (BMJ. 2005 Jun 25;330[7506]:1478.).

As a result of this meta-analysis, as well as multiple other studies, the AAGL Guidelines Committee noted that “current evidence supports the conclusion that cystoscopic evaluation of the lower urinary tract should be readily available to gynecologic surgeons performing laparoscopic hysterectomy.” The resultant guidelines recommend that “a surgeon with appropriate education, training, and institutional privileges be available without delay to perform the task (cystoscopy).”

Dr. Charles E. Miller

Besides the evaluation of the urinary tract for potential injury at hysterectomy, cystoscopy is useful in evaluation of various urogynecologic concerns, potential malignancy, and possible genitourinary fistula.

In this edition of the Master Class in Gynecologic Surgery, I have asked urogynecologist Dr. Neeraj Kohli to discuss the use of cystoscopy in gynecology, as well as to present new instrumentation to aide in the performance of the procedure.

Dr. Kohli is in private practice as medical director of Boston Urogyn in Wellesley, Mass., an ob.gyn. staff member at Brigham Women’s Hospital/Newton Wellesley Hospital, and assistant professor of ob.gyn. at Harvard Medical School in Boston.

Dr. Kohli is a nationally recognized leader in the field of urogynecology and reconstructive pelvic surgery, specializing in the treatment of pelvic prolapse, urinary incontinence, and advanced pelvic surgery. He has authored more than 100 scientific articles, book chapters, research abstracts, clinical presentations and multimedia educational tools.

Dr. Miller is a clinical associate professor at the University of Illinois at Chicago, immediate past president of the International Society for Gynecologic Endoscopy (ISGE), and a past president of the AAGL. He is a reproductive endocrinologist and minimally invasive gynecologic surgeon in private practice in Naperville, Ill., and Schaumburg, Ill.; director of minimally invasive gynecologic surgery and the director of the AAGL/SRS fellowship in minimally invasive gynecologic surgery at Advocate Lutheran General Hospital, Park Ridge, Ill; and the medical editor of this column, Master Class. Dr. Miller reported having no financial disclosures relevant to this Master Class.

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In 2012, the AAGL issued Guidelines for Intraoperative Cystoscopy in Laparoscopic Hysterectomy (J Minim Invasive Gynecol. 2012 Jul-Aug;19[4]:407-11.). In this AAGL report, a meta-analysis noted 27 published trials comprising 3,643 cases. Laparoscopic hysterectomy was associated with an increased risk of urinary tract injury when compared with abdominal hysterectomy (odds ratio, 2.61; 95% confidence interval, 1.22-5.60), according to the meta-analysis (BMJ. 2005 Jun 25;330[7506]:1478.).

As a result of this meta-analysis, as well as multiple other studies, the AAGL Guidelines Committee noted that “current evidence supports the conclusion that cystoscopic evaluation of the lower urinary tract should be readily available to gynecologic surgeons performing laparoscopic hysterectomy.” The resultant guidelines recommend that “a surgeon with appropriate education, training, and institutional privileges be available without delay to perform the task (cystoscopy).”

Dr. Charles E. Miller

Besides the evaluation of the urinary tract for potential injury at hysterectomy, cystoscopy is useful in evaluation of various urogynecologic concerns, potential malignancy, and possible genitourinary fistula.

In this edition of the Master Class in Gynecologic Surgery, I have asked urogynecologist Dr. Neeraj Kohli to discuss the use of cystoscopy in gynecology, as well as to present new instrumentation to aide in the performance of the procedure.

Dr. Kohli is in private practice as medical director of Boston Urogyn in Wellesley, Mass., an ob.gyn. staff member at Brigham Women’s Hospital/Newton Wellesley Hospital, and assistant professor of ob.gyn. at Harvard Medical School in Boston.

Dr. Kohli is a nationally recognized leader in the field of urogynecology and reconstructive pelvic surgery, specializing in the treatment of pelvic prolapse, urinary incontinence, and advanced pelvic surgery. He has authored more than 100 scientific articles, book chapters, research abstracts, clinical presentations and multimedia educational tools.

Dr. Miller is a clinical associate professor at the University of Illinois at Chicago, immediate past president of the International Society for Gynecologic Endoscopy (ISGE), and a past president of the AAGL. He is a reproductive endocrinologist and minimally invasive gynecologic surgeon in private practice in Naperville, Ill., and Schaumburg, Ill.; director of minimally invasive gynecologic surgery and the director of the AAGL/SRS fellowship in minimally invasive gynecologic surgery at Advocate Lutheran General Hospital, Park Ridge, Ill; and the medical editor of this column, Master Class. Dr. Miller reported having no financial disclosures relevant to this Master Class.

In 2012, the AAGL issued Guidelines for Intraoperative Cystoscopy in Laparoscopic Hysterectomy (J Minim Invasive Gynecol. 2012 Jul-Aug;19[4]:407-11.). In this AAGL report, a meta-analysis noted 27 published trials comprising 3,643 cases. Laparoscopic hysterectomy was associated with an increased risk of urinary tract injury when compared with abdominal hysterectomy (odds ratio, 2.61; 95% confidence interval, 1.22-5.60), according to the meta-analysis (BMJ. 2005 Jun 25;330[7506]:1478.).

As a result of this meta-analysis, as well as multiple other studies, the AAGL Guidelines Committee noted that “current evidence supports the conclusion that cystoscopic evaluation of the lower urinary tract should be readily available to gynecologic surgeons performing laparoscopic hysterectomy.” The resultant guidelines recommend that “a surgeon with appropriate education, training, and institutional privileges be available without delay to perform the task (cystoscopy).”

Dr. Charles E. Miller

Besides the evaluation of the urinary tract for potential injury at hysterectomy, cystoscopy is useful in evaluation of various urogynecologic concerns, potential malignancy, and possible genitourinary fistula.

In this edition of the Master Class in Gynecologic Surgery, I have asked urogynecologist Dr. Neeraj Kohli to discuss the use of cystoscopy in gynecology, as well as to present new instrumentation to aide in the performance of the procedure.

Dr. Kohli is in private practice as medical director of Boston Urogyn in Wellesley, Mass., an ob.gyn. staff member at Brigham Women’s Hospital/Newton Wellesley Hospital, and assistant professor of ob.gyn. at Harvard Medical School in Boston.

Dr. Kohli is a nationally recognized leader in the field of urogynecology and reconstructive pelvic surgery, specializing in the treatment of pelvic prolapse, urinary incontinence, and advanced pelvic surgery. He has authored more than 100 scientific articles, book chapters, research abstracts, clinical presentations and multimedia educational tools.

Dr. Miller is a clinical associate professor at the University of Illinois at Chicago, immediate past president of the International Society for Gynecologic Endoscopy (ISGE), and a past president of the AAGL. He is a reproductive endocrinologist and minimally invasive gynecologic surgeon in private practice in Naperville, Ill., and Schaumburg, Ill.; director of minimally invasive gynecologic surgery and the director of the AAGL/SRS fellowship in minimally invasive gynecologic surgery at Advocate Lutheran General Hospital, Park Ridge, Ill; and the medical editor of this column, Master Class. Dr. Miller reported having no financial disclosures relevant to this Master Class.

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BEST PRACTICES IN: Oral Cancer Therapies: Important Prescribing Considerations

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A supplement to The Journal of Community and Supportive Oncology. This supplement was sponsored by Novartis Pharmaceuticals.

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A supplement to The Journal of Community and Supportive Oncology. This supplement was sponsored by Novartis Pharmaceuticals.

To view the supplement, click the image to the right

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Breast reductions

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Adolescent medicine presents a unique challenge. Many pediatricians find themselves extrapolating treatment of childhood issues or modifying adult treatment to address adolescent issues. But the reality is adolescents are not big kids or little adults. They are a unique group that require special considerations and analysis for appropriate treatment.

Macromastia, enlarged breast, is a condition that affects many teenagers. It impacts their self-esteem, limits physical ability, and causes musculoskeletal and dermatologic issues, and yet most pediatricians cannot recall a specific lesson that covered the evaluation and treatment of this condition. Juvenile, or virginal, gigantomastia is a rare condition that consists of a period of rapid breast tissue growth followed by sustained growth in the peripubertal years. Growth can be symmetrical or asymmetrical. Either condition can lead to disfigurement, social anxiety, unwanted attention, and withdrawal. Therefore, acknowledging the condition and intervening are essential.

With obesity on the rise, the issue of macromastia continues to grow. Although macromastia and obesity can occur independently, obesity certainly augments the condition, and more and more physicians are confronted with complaints of neck, back, and shoulder pain. Left untreated, macromastia can cause physical limitation leading to further morbidity. The exact etiology is unknown, but it is presumed to be associated with a hypersensitivity of the mammary estrogen receptors and exposure to exogenous estrogen through food, drugs, or the environment.

Although a patient who has significant discomfort may benefit from physical therapy and strengthening exercises to improve posture, the definitive treatment for macromastia and juvenile gigantomastia is surgical breast reduction, even in adolescence. Medical management with injections of tamoxifen will halt the continued growth, but it will not reduce the size, and therefore will not correct the associated side effects. Weight loss may reduce the general appearance, but it will do little to reduce the actual size of the breast tissue itself.

Because breast development arrests before adulthood, delaying surgical intervention to adulthood is not necessary. In a retrospective study, recurrence took place with juvenile gigantomastia only if intervention was done in early adolescence and did not take place at all with macromastia (Mayo Clin Proc. 2001;76:503-10).

Indications for surgical intervention are chronic shoulder, neck, and back pain; shoulder grooving; skin irritation and skin breakdown underneath the breast; and social stress. It is important that the growth of the breast has ceased for at least a year, and a psychological assessment of the impact of the condition is performed.

Misconceptions associated with breast reduction include that it is for cosmetic purposes only; that macromastia can be reduced by weight loss, and therefore a surgical intervention is not necessary; that lactation is not possible after the procedure; and that insurance will not cover this procedure. As explained previously, there is an identifiable negative impact of macromastia on the musculoskeletal system as well as huge self-esteem and social issues.

Decades ago, breast reduction was seen as a cosmetic surgery. Surprisingly, many insurance companies will now cover the procedure if the morbidity is well documented.

Inability to breastfeed was the initial concern with early surgical intervention. Several studies have evaluated this, and all have come to the same conclusion: Although milk production may be reduced, postsurgical patients can breastfeed without difficulty. Given that lactation is not inhibited and continued stress on the musculoskeletal system causes further harm, early intervention is imperative.

Breast reduction surgery is safe. There is a risk of bleeding, infection, fat necrosis, and loss of sensation, but there is no higher incidence of these adverse effects in adolescents than there is in adults (J Pediatr Adolesc Gynecol. 2013;26[4]:228-33).

Macromastia clearly impacts the emotional, social, and physical well-being of an adolescent, and it likely will not be addressed by the young patient because of embarrassment. Therefore, it is up to the pediatrician to inquire about body image with all routine health exams, and to keep up to date with the latest recommendations to ensure the best outcomes.

Dr. Pearce is a pediatrician in Frankfort, Ill. E-mail her at [email protected].

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Adolescent medicine presents a unique challenge. Many pediatricians find themselves extrapolating treatment of childhood issues or modifying adult treatment to address adolescent issues. But the reality is adolescents are not big kids or little adults. They are a unique group that require special considerations and analysis for appropriate treatment.

Macromastia, enlarged breast, is a condition that affects many teenagers. It impacts their self-esteem, limits physical ability, and causes musculoskeletal and dermatologic issues, and yet most pediatricians cannot recall a specific lesson that covered the evaluation and treatment of this condition. Juvenile, or virginal, gigantomastia is a rare condition that consists of a period of rapid breast tissue growth followed by sustained growth in the peripubertal years. Growth can be symmetrical or asymmetrical. Either condition can lead to disfigurement, social anxiety, unwanted attention, and withdrawal. Therefore, acknowledging the condition and intervening are essential.

With obesity on the rise, the issue of macromastia continues to grow. Although macromastia and obesity can occur independently, obesity certainly augments the condition, and more and more physicians are confronted with complaints of neck, back, and shoulder pain. Left untreated, macromastia can cause physical limitation leading to further morbidity. The exact etiology is unknown, but it is presumed to be associated with a hypersensitivity of the mammary estrogen receptors and exposure to exogenous estrogen through food, drugs, or the environment.

Although a patient who has significant discomfort may benefit from physical therapy and strengthening exercises to improve posture, the definitive treatment for macromastia and juvenile gigantomastia is surgical breast reduction, even in adolescence. Medical management with injections of tamoxifen will halt the continued growth, but it will not reduce the size, and therefore will not correct the associated side effects. Weight loss may reduce the general appearance, but it will do little to reduce the actual size of the breast tissue itself.

Because breast development arrests before adulthood, delaying surgical intervention to adulthood is not necessary. In a retrospective study, recurrence took place with juvenile gigantomastia only if intervention was done in early adolescence and did not take place at all with macromastia (Mayo Clin Proc. 2001;76:503-10).

Indications for surgical intervention are chronic shoulder, neck, and back pain; shoulder grooving; skin irritation and skin breakdown underneath the breast; and social stress. It is important that the growth of the breast has ceased for at least a year, and a psychological assessment of the impact of the condition is performed.

Misconceptions associated with breast reduction include that it is for cosmetic purposes only; that macromastia can be reduced by weight loss, and therefore a surgical intervention is not necessary; that lactation is not possible after the procedure; and that insurance will not cover this procedure. As explained previously, there is an identifiable negative impact of macromastia on the musculoskeletal system as well as huge self-esteem and social issues.

Decades ago, breast reduction was seen as a cosmetic surgery. Surprisingly, many insurance companies will now cover the procedure if the morbidity is well documented.

Inability to breastfeed was the initial concern with early surgical intervention. Several studies have evaluated this, and all have come to the same conclusion: Although milk production may be reduced, postsurgical patients can breastfeed without difficulty. Given that lactation is not inhibited and continued stress on the musculoskeletal system causes further harm, early intervention is imperative.

Breast reduction surgery is safe. There is a risk of bleeding, infection, fat necrosis, and loss of sensation, but there is no higher incidence of these adverse effects in adolescents than there is in adults (J Pediatr Adolesc Gynecol. 2013;26[4]:228-33).

Macromastia clearly impacts the emotional, social, and physical well-being of an adolescent, and it likely will not be addressed by the young patient because of embarrassment. Therefore, it is up to the pediatrician to inquire about body image with all routine health exams, and to keep up to date with the latest recommendations to ensure the best outcomes.

Dr. Pearce is a pediatrician in Frankfort, Ill. E-mail her at [email protected].

Adolescent medicine presents a unique challenge. Many pediatricians find themselves extrapolating treatment of childhood issues or modifying adult treatment to address adolescent issues. But the reality is adolescents are not big kids or little adults. They are a unique group that require special considerations and analysis for appropriate treatment.

Macromastia, enlarged breast, is a condition that affects many teenagers. It impacts their self-esteem, limits physical ability, and causes musculoskeletal and dermatologic issues, and yet most pediatricians cannot recall a specific lesson that covered the evaluation and treatment of this condition. Juvenile, or virginal, gigantomastia is a rare condition that consists of a period of rapid breast tissue growth followed by sustained growth in the peripubertal years. Growth can be symmetrical or asymmetrical. Either condition can lead to disfigurement, social anxiety, unwanted attention, and withdrawal. Therefore, acknowledging the condition and intervening are essential.

With obesity on the rise, the issue of macromastia continues to grow. Although macromastia and obesity can occur independently, obesity certainly augments the condition, and more and more physicians are confronted with complaints of neck, back, and shoulder pain. Left untreated, macromastia can cause physical limitation leading to further morbidity. The exact etiology is unknown, but it is presumed to be associated with a hypersensitivity of the mammary estrogen receptors and exposure to exogenous estrogen through food, drugs, or the environment.

Although a patient who has significant discomfort may benefit from physical therapy and strengthening exercises to improve posture, the definitive treatment for macromastia and juvenile gigantomastia is surgical breast reduction, even in adolescence. Medical management with injections of tamoxifen will halt the continued growth, but it will not reduce the size, and therefore will not correct the associated side effects. Weight loss may reduce the general appearance, but it will do little to reduce the actual size of the breast tissue itself.

Because breast development arrests before adulthood, delaying surgical intervention to adulthood is not necessary. In a retrospective study, recurrence took place with juvenile gigantomastia only if intervention was done in early adolescence and did not take place at all with macromastia (Mayo Clin Proc. 2001;76:503-10).

Indications for surgical intervention are chronic shoulder, neck, and back pain; shoulder grooving; skin irritation and skin breakdown underneath the breast; and social stress. It is important that the growth of the breast has ceased for at least a year, and a psychological assessment of the impact of the condition is performed.

Misconceptions associated with breast reduction include that it is for cosmetic purposes only; that macromastia can be reduced by weight loss, and therefore a surgical intervention is not necessary; that lactation is not possible after the procedure; and that insurance will not cover this procedure. As explained previously, there is an identifiable negative impact of macromastia on the musculoskeletal system as well as huge self-esteem and social issues.

Decades ago, breast reduction was seen as a cosmetic surgery. Surprisingly, many insurance companies will now cover the procedure if the morbidity is well documented.

Inability to breastfeed was the initial concern with early surgical intervention. Several studies have evaluated this, and all have come to the same conclusion: Although milk production may be reduced, postsurgical patients can breastfeed without difficulty. Given that lactation is not inhibited and continued stress on the musculoskeletal system causes further harm, early intervention is imperative.

Breast reduction surgery is safe. There is a risk of bleeding, infection, fat necrosis, and loss of sensation, but there is no higher incidence of these adverse effects in adolescents than there is in adults (J Pediatr Adolesc Gynecol. 2013;26[4]:228-33).

Macromastia clearly impacts the emotional, social, and physical well-being of an adolescent, and it likely will not be addressed by the young patient because of embarrassment. Therefore, it is up to the pediatrician to inquire about body image with all routine health exams, and to keep up to date with the latest recommendations to ensure the best outcomes.

Dr. Pearce is a pediatrician in Frankfort, Ill. E-mail her at [email protected].

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This month I am writing to encourage Fellows to contact their representatives and senators to ask that they support the Critical Access Hospital Relief Act, H.R. 169 and S. 258.

Approximately 2 years ago, surgeons working at Critical Access Hospitals (CAHs) began to encounter a new barrier to caring for their patients and in some cases have been forced to send patients to other hospitals far from their homes to receive care. The barrier responsible is contained in legislation originally passed in the Balanced Budget Act of 1997, the same legislation responsible for the sustainable growth rate (SGR) and the current caps on Medicare-sponsored graduate medical education positions.

 

Dr. Patrick V. Bailey

Under current law, for facilities to qualify for Medicare certification and thus participate in the Medicare program itself, CAHs must meet minimum health and safety standards known as conditions of participation. In addition, the Centers for Medicare & Medicaid Services (CMS) imposes certain Medicare conditions of payment that must be met for a CAH to receive Medicare Part A reimbursement.

The CAH 96-hour rule imposes both a condition of participation and a condition of payment on CAHs. As mentioned above, though this provision has been in the law since 1997, it was not until fall of 2013 that the condition of payment began to be enforced. Prior to that time, only the condition of participation, requiring that acute inpatient care not exceed 96 hours per patient on an average basis, had been enforced by the CMS. Despite being written in the same legislation passed in 1997, the condition of payment was virtually unknown until September of 2013 when the CMS released a statement in a document pertaining to a related policy. At that time, it was indicated that the condition of payment in the 96-hour rule would be more strictly enforced. That condition of payment states that CAHs will receive Medicare Part A reimbursement only if the admitting physician certifies, at the time of admission, that the patient can reasonably be expected to be discharged or transferred within 96 hours. This was the first time many CAHs and the surgeons and other physicians working in such facilities had ever heard of the 96-hour rule’s condition of payment certification requirement.

Since the advisory was released, administrators at some CAHs have begun requiring surgeons to sign certifications upon admission stating that the patient being admitted can reasonably be expected to be discharged or transferred within 96 hours of admission. Obviously, this has caused great concern for surgeons and other providers serving populations who receive care in CAHs. Many surgeons practicing in such rural settings routinely perform procedures and provide care for surgical patients in those CAHs with expected stays likely to exceed 4 days. On the other hand, while any individual patient may require inpatient admission exceeding 96 hours, CAHs have generally not had difficulty maintaining the 96-hour average required by the condition of participation.

In response to the CMS notice on enforcement of the 96-hour rule, Representative Adrian Smith (R-Neb.) and Senator Pat Roberts (R-Kan.) introduced the Critical Access Hospital Relief Act (H.R. 169/S. 258). The legislation proposes to simply remove the 96-hour rule condition of payment, leaving in place the currently enforced 96-hour average patient stay required by the condition of participation. As of Aug. 26, 2015, there were 75 cosponsors (58 R and 17 D) in the House of Representatives for H.R. 169 and 30 cosponsors (19 R and 11 D) in the Senate for S. 258.

While it is unlikely this legislation will progress to the floor of either the House or Senate as a “standalone” bill, it is entirely possible that the Critical Access Hospital Relief Act could be included in a larger package of legislation moving in the coming months before Congress recesses for the holidays.

The American College of Surgeons strongly supports this straightforward legislation and we would urge Fellows, especially those who either serve populations receiving care in CAHs or those practicing in states with large numbers of CAHs, to contact their representatives and senators to request that they sign on as cosponsors of H.R. 169 or S. 258 and support the inclusion of the bill in any legislation coming to the floor of either chamber for a vote this year.

Until next month …

 

Dr. Bailey is a pediatric surgeon and Medical Director, Advocacy, for the Division of Advocacy and Health Policy, in the ACS offices in Washington.

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This month I am writing to encourage Fellows to contact their representatives and senators to ask that they support the Critical Access Hospital Relief Act, H.R. 169 and S. 258.

Approximately 2 years ago, surgeons working at Critical Access Hospitals (CAHs) began to encounter a new barrier to caring for their patients and in some cases have been forced to send patients to other hospitals far from their homes to receive care. The barrier responsible is contained in legislation originally passed in the Balanced Budget Act of 1997, the same legislation responsible for the sustainable growth rate (SGR) and the current caps on Medicare-sponsored graduate medical education positions.

 

Dr. Patrick V. Bailey

Under current law, for facilities to qualify for Medicare certification and thus participate in the Medicare program itself, CAHs must meet minimum health and safety standards known as conditions of participation. In addition, the Centers for Medicare & Medicaid Services (CMS) imposes certain Medicare conditions of payment that must be met for a CAH to receive Medicare Part A reimbursement.

The CAH 96-hour rule imposes both a condition of participation and a condition of payment on CAHs. As mentioned above, though this provision has been in the law since 1997, it was not until fall of 2013 that the condition of payment began to be enforced. Prior to that time, only the condition of participation, requiring that acute inpatient care not exceed 96 hours per patient on an average basis, had been enforced by the CMS. Despite being written in the same legislation passed in 1997, the condition of payment was virtually unknown until September of 2013 when the CMS released a statement in a document pertaining to a related policy. At that time, it was indicated that the condition of payment in the 96-hour rule would be more strictly enforced. That condition of payment states that CAHs will receive Medicare Part A reimbursement only if the admitting physician certifies, at the time of admission, that the patient can reasonably be expected to be discharged or transferred within 96 hours. This was the first time many CAHs and the surgeons and other physicians working in such facilities had ever heard of the 96-hour rule’s condition of payment certification requirement.

Since the advisory was released, administrators at some CAHs have begun requiring surgeons to sign certifications upon admission stating that the patient being admitted can reasonably be expected to be discharged or transferred within 96 hours of admission. Obviously, this has caused great concern for surgeons and other providers serving populations who receive care in CAHs. Many surgeons practicing in such rural settings routinely perform procedures and provide care for surgical patients in those CAHs with expected stays likely to exceed 4 days. On the other hand, while any individual patient may require inpatient admission exceeding 96 hours, CAHs have generally not had difficulty maintaining the 96-hour average required by the condition of participation.

In response to the CMS notice on enforcement of the 96-hour rule, Representative Adrian Smith (R-Neb.) and Senator Pat Roberts (R-Kan.) introduced the Critical Access Hospital Relief Act (H.R. 169/S. 258). The legislation proposes to simply remove the 96-hour rule condition of payment, leaving in place the currently enforced 96-hour average patient stay required by the condition of participation. As of Aug. 26, 2015, there were 75 cosponsors (58 R and 17 D) in the House of Representatives for H.R. 169 and 30 cosponsors (19 R and 11 D) in the Senate for S. 258.

While it is unlikely this legislation will progress to the floor of either the House or Senate as a “standalone” bill, it is entirely possible that the Critical Access Hospital Relief Act could be included in a larger package of legislation moving in the coming months before Congress recesses for the holidays.

The American College of Surgeons strongly supports this straightforward legislation and we would urge Fellows, especially those who either serve populations receiving care in CAHs or those practicing in states with large numbers of CAHs, to contact their representatives and senators to request that they sign on as cosponsors of H.R. 169 or S. 258 and support the inclusion of the bill in any legislation coming to the floor of either chamber for a vote this year.

Until next month …

 

Dr. Bailey is a pediatric surgeon and Medical Director, Advocacy, for the Division of Advocacy and Health Policy, in the ACS offices in Washington.

This month I am writing to encourage Fellows to contact their representatives and senators to ask that they support the Critical Access Hospital Relief Act, H.R. 169 and S. 258.

Approximately 2 years ago, surgeons working at Critical Access Hospitals (CAHs) began to encounter a new barrier to caring for their patients and in some cases have been forced to send patients to other hospitals far from their homes to receive care. The barrier responsible is contained in legislation originally passed in the Balanced Budget Act of 1997, the same legislation responsible for the sustainable growth rate (SGR) and the current caps on Medicare-sponsored graduate medical education positions.

 

Dr. Patrick V. Bailey

Under current law, for facilities to qualify for Medicare certification and thus participate in the Medicare program itself, CAHs must meet minimum health and safety standards known as conditions of participation. In addition, the Centers for Medicare & Medicaid Services (CMS) imposes certain Medicare conditions of payment that must be met for a CAH to receive Medicare Part A reimbursement.

The CAH 96-hour rule imposes both a condition of participation and a condition of payment on CAHs. As mentioned above, though this provision has been in the law since 1997, it was not until fall of 2013 that the condition of payment began to be enforced. Prior to that time, only the condition of participation, requiring that acute inpatient care not exceed 96 hours per patient on an average basis, had been enforced by the CMS. Despite being written in the same legislation passed in 1997, the condition of payment was virtually unknown until September of 2013 when the CMS released a statement in a document pertaining to a related policy. At that time, it was indicated that the condition of payment in the 96-hour rule would be more strictly enforced. That condition of payment states that CAHs will receive Medicare Part A reimbursement only if the admitting physician certifies, at the time of admission, that the patient can reasonably be expected to be discharged or transferred within 96 hours. This was the first time many CAHs and the surgeons and other physicians working in such facilities had ever heard of the 96-hour rule’s condition of payment certification requirement.

Since the advisory was released, administrators at some CAHs have begun requiring surgeons to sign certifications upon admission stating that the patient being admitted can reasonably be expected to be discharged or transferred within 96 hours of admission. Obviously, this has caused great concern for surgeons and other providers serving populations who receive care in CAHs. Many surgeons practicing in such rural settings routinely perform procedures and provide care for surgical patients in those CAHs with expected stays likely to exceed 4 days. On the other hand, while any individual patient may require inpatient admission exceeding 96 hours, CAHs have generally not had difficulty maintaining the 96-hour average required by the condition of participation.

In response to the CMS notice on enforcement of the 96-hour rule, Representative Adrian Smith (R-Neb.) and Senator Pat Roberts (R-Kan.) introduced the Critical Access Hospital Relief Act (H.R. 169/S. 258). The legislation proposes to simply remove the 96-hour rule condition of payment, leaving in place the currently enforced 96-hour average patient stay required by the condition of participation. As of Aug. 26, 2015, there were 75 cosponsors (58 R and 17 D) in the House of Representatives for H.R. 169 and 30 cosponsors (19 R and 11 D) in the Senate for S. 258.

While it is unlikely this legislation will progress to the floor of either the House or Senate as a “standalone” bill, it is entirely possible that the Critical Access Hospital Relief Act could be included in a larger package of legislation moving in the coming months before Congress recesses for the holidays.

The American College of Surgeons strongly supports this straightforward legislation and we would urge Fellows, especially those who either serve populations receiving care in CAHs or those practicing in states with large numbers of CAHs, to contact their representatives and senators to request that they sign on as cosponsors of H.R. 169 or S. 258 and support the inclusion of the bill in any legislation coming to the floor of either chamber for a vote this year.

Until next month …

 

Dr. Bailey is a pediatric surgeon and Medical Director, Advocacy, for the Division of Advocacy and Health Policy, in the ACS offices in Washington.

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