User login
Stress Testing Effect on ED Visits
More than 9 million people visit the emergency department (ED) annually for evaluation of acute chest pain.[1, 2] Most of these patients are placed on observation status while being assessed for an acute coronary syndrome (ACS). Traditionally, serial cardiac enzymes and absence of changes suggestive of ischemia on electrocardiogram rule out ACS. Patients are then stratified based on their presentation and risk factors. However, healthcare providers are not comfortable discharging even low‐risk patients without further testing.[3] Routine treadmill stress testing is usually performed, often complimented by an imaging modality. A negative stress test before discharge reassures both the physician and the patient that the chest pain is not caused by an obstructive coronary lesion.
Patients with chest pain who have been discharged from the ED after ruling out an ACS are frequently readmitted for chest pain within 1 year.[4] It is unclear whether stress testing can prevent these readmissions by preventing return to the ED or by influencing the decision of ED physicians to admit patients for observation.[5, 6, 7] Even if stress testing can reduce ED visits or readmissions, it is not known whether the savings from preventing these visits can offset the initial cost of stress testing. The purpose of this study was to examine the impact of stress testing on readmission for chest pain, and to determine whether stress testing can reduce overall costs.
METHODS
Study Population
The hospital's billing database was used to obtain the data. Inclusion criteria included age 18 years or older with index hospitalization between January 2007and July 2009 with International Classification of Diseases, 9th Revision admitting diagnoses of chest pain (786.5), chest pain NOSnot otherwise specified (786.50), chest pain NECnot elsewhere classified (786.59) or angina pectoris (413.9). All eligible patients were admitted under observation status. Although observation patients are technically outpatients, they are cared for by inpatient physicians on inpatient units and are otherwise indistinguishable from inpatients. Patients with a discharge diagnosis of acute myocardial infarction at index admission were excluded. Also, patients who had a chest pain admission or an outpatient stress test within the previous 12 months of index admission were excluded.
Data Collection and Outcomes
All data were extracted electronically from the hospital's billing database. For each patient we noted age, sex, race, insurance status, and cardiovascular comorbidities (current smoker, congestive heart failure, valvular disease, pulmonary/circulatory disorders, peripheral vascular disease, obesity, diabetes mellitus, and hypertension). For each admission we ascertained whether or not any type of stress test was performed. We obtained ED and hospitalization costs for chest pain visits within 12 months of index admission from the hospital's cost accounting system. We also obtained corresponding physician charges as well as collection rate from the health system's clinical decision support system.
The primary outcome was the rate of ED visits and readmissions for chest pain within 1 year of the index visit. Secondary outcomes included total annual hospitalization and ED costs. Total annual costs were calculated by summing index costs and follow‐up costs for subsequent ED visits and readmissions.
Statistical Analysis
Fisher exact (categorical) and unpaired t tests/Wilcoxon rank sum (continuous) tests were used to compare the baseline characteristics of patients who received a stress test at index admission to those who did not. To address possible confounding by indication (allocation bias), the association between stress testing and various outcomes was quantified using multivariable logistic (ED visits and readmissions) or linear regression (costs).[8, 9] In addition, we developed a propensity model using conditional logistic regression and matched patients on propensity score using 1:1 greedy matching algorithm with a caliper tolerance of 0.05.[10, 11] For cost analyses, the annual collection rate was applied to all physician charges, and these were added to hospital or ED costs to obtain the total cost of each visit. The average cost of ED visits or readmissions for each group was calculated by dividing the total ED or readmission cost by the number of ED visits and readmissions, respectively. Physician charges were unavailable for approximately one‐third (1487/5163 or 29%) of all hospitalizations; missing charges were estimated using mean imputation, and sensitivity analyses were conducted to ensure consistency of inferences between full (imputed) and restricted models.[12, 13, 14] Stata/MP 12.1 for Windows (StataCorp, College Station, TX) was used for all analyses.
RESULTS
A total of 3315 patients admitted with chest pain during the study period met the inclusion criteria. Of these, 2376 (71.7%) had a stress test on index admission. Table 1 describes the baseline characteristics of the study population. Receipt of a stress test during index admission was positively associated with white race, private insurance, and number of cardiac comorbidities. The propensity model included these covariates as well as study year, age (80+ vs younger), sex, and smoking status. The C statistic, which quantifies the model's ability to discriminate subjects who received a stress test from those who did not, was 0.63 (95% confidence interval [CI]: 0.61 to 0.65). Of patients who returned to the ED, we were able to find propensity matches for 69% to create a matched sample of 1776 patients. Of patients who were readmitted, we were able to find matches for 83% to create a matched sample of 186 patients.
| Total, N=3315 | Stress Test Original Admission, N=2376 | No Stress Test, N=939 | P Valuea | |
|---|---|---|---|---|
| ||||
| Age, y, mean/SD | 57.5/13.9 | 57.2/12.8 | 58.2/16.2 | 0.10 |
| Male, n (%) | 1505 (45.4) | 1080 (45.5) | 425 (45.3) | 0.94 |
| Race, n (%) | <0.001 | |||
| White | 2082 (62.8) | 1552 (65.3) | 530 (56.4) | |
| Black | 345 (10.4) | 239 (10.1) | 106 (11.3) | |
| Hispanic | 585 (17.7) | 381 (16.0) | 204 (21.7) | |
| Other | 303 (9.1) | 204 (8.6) | 99 (10.5) | |
| Private insurance, n (%) | 1469 (44.3) | 1176 (49.5) | 293 (31.2) | <0.001 |
| No. of cardiovascular comorbidities, mean/SDb | 0.68/0.78 | 0.70/0.78 | 0.64/0.77 | 0.04 |
| Smoker, n (%) | 335 (10.1) | 249 (10.5) | 86 (9.2) | 0.28 |
| Return for chest pain, n (%) | 256 (7.7) | 148 (6.2) | 108 (11.5) | <0.001 |
| All cause return, n (%) | 1279 (38.6) | 819 (34.5) | 460 (49.0) | <0.001 |
| Median time to next chest pain visit, d (25th, 75th percentile) | 69 (6, 180) | 67 (5, 190) | 71 (9, 172) | 0.86 |
| Median time to all cause return, d (25th, 75th percentile) | 92 (27, 198) | 108 (33, 207) | 67 (20, 175) | <0.001 |
| Admitted upon first return for chest pain, n (%) | 112 (43.8) | 62 (41.9) | 50 (46.3) | 0.53 |
Subsequent ED Visits for Chest Pain
Within 1 year, 1279 (38.6%) of all patients returned to the ED, and 256 (7.7%) returned at least once for chest pain. Patients who had a stress test at index admission were less likely to return to ED for chest pain, compared to those who did not get a stress test at admission (6.2% vs 11.5%; P<0.001). The median time to the first subsequent ED visit for any complaint was greater among patients who had a stress test at index admission (108 days vs 67 days, P<0.001), but no effect was noted on time to return for chest complaint (67 days vs 71 days, P=0.86).
In a multivariable model, return to the ED for chest pain was positively associated with self‐reported nonwhite race, insurance with Medicare or Medicaid, and earlier year of index admission (Table 2). Return ED visit was negatively associated with stress testing at index admission (adjusted odds ratio [OR]: 0.5, 95% CI: 0.4 to 0.7; propensity‐matched analysis OR: 0.6, 95% CI: 0.5 to 0.9).
| Variable | Odds Ratio | 95% CI |
|---|---|---|
| ||
| Stress test | 0.5 | 0.4 0.7 |
| Age >80 years | 1.0 | 0.6 1.6 |
| Gender | ||
| Female | 1.0 | |
| Male | 1.0 | 0.8 1.3 |
| Race/ethnicity | ||
| White | 1.0 | |
| Hispanic | 1.6 | 1.2 2.3 |
| Black | 1.6 | 1.1 2.4 |
| Other | 2.3 | 1.6 3.5 |
| 1 Cardiac comorbiditya | 1.1 | 0.8 1.4 |
| Medicare/Medicaid | 1.5 | 1.1 2.0 |
| Year of index admission | ||
| 2007 | 1.0 | |
| 2008 | 0.8 | 0.6 1.1 |
| 2009 | 0.5 | 0.4 0.7 |
| Smoking | 1.4 | 0.9 2.1 |
Subsequent Readmissions for Chest Pain
Of the 256 patients who returned to the ED for chest pain, 112 (43.8%) were readmitted during the first return visit. There was no statistically significant difference in the proportion admitted from the ED by prior stress test status. In a multivariable model, readmission after returning to the ED for chest pain was positively associated with cardiac comorbidities and earlier year of index admission (Table 3). The decision to readmit was not significantly associated with prior stress testing (adjusted OR: 0.8, 95% CI: 0.5 to 1.4; propensity‐matched analysis OR: 0.8, 95% CI: 0.4 to 1.4).
| Variable | Odds Ratio | 95% CI |
|---|---|---|
| ||
| Stress test | 0.8 | 0.5 1.4 |
| Age >80 years | 1.0 | 0.4 2.6 |
| Gender | ||
| Female | 1.0 | |
| Male | 1.0 | 0.6 1.7 |
| Race/ethnicity | ||
| White | 1.0 | |
| Hispanic | 1.3 | 0.6 2.5 |
| Black | 0.6 | 0.2 1.4 |
| Other | 4.5 | 1.9 10.6 |
| 1 Cardiac comorbiditya | 1.8 | 1.0 3.4 |
| Medicare/Medicaid | 1.3 | 0.7 2.4 |
| Year of index admission | ||
| 2007 | 1.0 | |
| 2008 | 0.6 | 0.4 1.2 |
| 2009 | 0.2 | 0.1 0.5 |
| Smoker | 0.3 | 0.1 0.8 |
Cost Analysis
The average multivariable‐adjusted cost (hospital+physician costs) for a patient at index chest pain admission was $3462 if a stress test was performed compared to $2374 without a stress test (+$1088, 95% CI: $972 to $1203). In the propensity‐matched sample the difference was +$1211(95% CI: $1084 to $1338). There were 155 occasions on which a patient returned to the ED for chest pain but was not readmitted. The average per‐visit cost did not differ based on prior stress test status in the overall sample ($763 if stress testing done previously vs $722 if not [+$41, 95% CI: $43 to+$125]) or in the propensity‐matched sample ($787 if stress testing was done vs $744 if not [$43, 95% CI: $54 to +$140]). Because ED visits were less frequent among patients who had a stress test at index admission, the average annual cost of ED visits was significantly lower for this group ($32 vs $52; $20, 95% CI: $36 to $4) or ($42 vs $54; $12 (95% CI: $32 to +$8) in the propensity‐matched sample. For the 117 occasions on which a patient returned with chest pain and was readmitted, the average cost per readmission also did not differ based on whether a stress test was performed at index admission or not ($2912 vs $2806, P=0.85). Again, because readmissions were less common after stress testing, the average cost of readmissions was lower for patients with stress tests than for those without ($88 vs $180; $92, 95% CI: $176 to $8) or $137 vs $194 ( $57, 95% CI: $161 to $47) in the propensity‐matched sample. The total cost of all visits (index, ED, and readmissions) was higher for patients who had a stress test at index admission than for those who did not ($3582 vs $2606; +$975, 95% CI: $829 to $1122) or ($3833 vs $2690; +$1142, 95% CI: $970, $1315) in the propensity‐matched sample.
DISCUSSION
In this retrospective cohort study of patients admitted with low‐risk chest pain, we found that a majority (>70%) underwent stress testing prior to discharge. Within 1 year approximately 8% returned to the ED with chest pain. Stress testing at index admission was associated with 40% reduction in the odds of subsequent ED visits for chest pain; however, once in the ED, having a previous stress test did not significantly affect the decision to admit. Despite the reduction in readmission rates, the overall hospital costsincluding cost of index admission, subsequent ED visits, and readmissionswere higher for patients who had a stress test at index admission.
Two other studies have evaluated the impact of stress testing on return ED visits.[5, 6] In a cohort of 1195 low‐risk chest pain patients at a tertiary center in New York, patients who underwent stress testing were less likely to return to the ED for chest pain within 3 months compared to those who did not get a stress test (10% vs 15%, P<0.001).[5] In contrast, another prospective study of 692 low‐risk chest pain patients found no difference in return ED visits between patients who were evaluated versus those who were not evaluated for underlying coronary artery disease at index admission by stress testing or cardiac catheterization (39% vs 40%; P=0.85).[6] In this study, the lack of difference may have been due to the population sampled, which had high rates of return in both groups. In our study, we also found that having a previous stress test does not significantly impact the decision to admit the patient. This was consistent with the results of another prospective cohort study of low‐risk chest pain patients presenting to the ED.[7]
Previous studies offer conflicting interpretations of the cost implications of stress testing in this population. Based on studies conducted in the 1990s that showed that mandatory stress testing in the ED was cost‐effective compared to hospital admission,[15, 16] the most recent scientific statement by the American Heart Association recommends stress testing for all low‐risk chest pain patients.[17] However, more recent studies have questioned the value of diagnostic testing beyond serial electrocardiograms and cardiac enzymes in low‐risk patients.[18, 19, 20, 21, 22] In a study done at our institution among patients admitted with low‐risk chest pain, the rate of positive stress tests was noted to be extremely low, and patients had a benign course; at 30 days the rates of major cardiovascular events was as low as 0.3%.[19] Other studies also showed no difference in outcomes among patients who received inpatient, outpatient, or no stress testing.[21, 22]
These studies have generally been limited to the initial hospitalization period. Our study extends these findings in terms of resource utilization to the year following hospitalization. This is important because physicians might order stress tests to reassure patients or themselves that the pain is noncardiac, with the hope that this will decrease subsequent ED visits or readmissions. In our study, stress tests did reduce both ED visits and readmissions, but the index cost of hospitalization was so much higher with stress testing that the reduced readmissions did not offset the initial costs. Because stress tests have not been shown to change cardiovascular outcomes but did increase costs, it may be time to reevaluate the need for any kind of inpatient stress testing in these patients.
Our study has several limitations. The retrospective nature of the study subjects it to confounding. We adjusted for demographics, insurance, and comorbidities, but other unmeasured elements of the patients' presentation might have affected stress test ordering and subsequent return to the ED. In addition, we relied on administrative data, and comorbidities may not have been documented completely. During the follow‐up period, we did not take into account patients who presented to the EDs of other hospitals or those who might have died. Because there is only one other hospital in our city, and it does not perform angioplasties, it is unlikely that we missed many infarctions this way, but we may not have included all ED visits. Similarly, we included only costs accrued within our healthcare system. If patients presented to outside facilities for testing or treatment, we were unable to capture it. It is possible that patients who did not undergo initial stress testing may have been more likely to have subsequent testing at outside facilities, which would have reduced the difference in cost that we observed. However, given the magnitude of this difference, it is unlikely that including outside costs would have completely eliminated the difference. The data in our study were collected over a 3‐year period. Secular trends in the healthcare system over that time could potentially have affected our results. To reduce this bias, we included the year of the study in the propensity model. Also, the study was performed at a single hospital, and the results might not be generalizable to other institutions. Ours is a large independent academic medical center serving both a tertiary and a community role. Therefore, the population it serves would appear to be representative of the general population having chest pain without ACS.
Finally, we did not collect data on the results of stress tests. It is probable that the decision to admit a patient is modified by the results of a previous test, and this was not explored in our analysis. Presumably, patients with positive tests would be more likely, and those with negative tests less likely, to be admitted than patients who had no previous test. Previous studies have shown that among low‐risk chest pain patients, the rate of abnormal stress tests is <15%, and among these only a minority (0.6%0.7%) can benefit from revascularization.[19, 20] Therefore, testing should result in a lower rate of readmissions overall, which is what we observed in this study. Once patients reached the ED, however, the decision to admit was not associated with having a previous stress test. This could be due to a high rate of positive tests among patients who came to the ED, or a lack of discrimination by ED physicians. Although our study design could not distinguish between these 2 possibilities, studies have shown that fear of litigation and aversion to risk play an important role in this decision,[23, 24] and it is possible that these considerations override the results of previous stress tests, which cannot categorically rule out current ischemia.
In an era of rising healthcare costs and limited resources, the care of low‐risk chest pain is an attractive target for cost‐reduction strategies. Low‐risk chest pain accounts for 1.8 % of all admissions, at an average annual cost of $3.4 billion in the United States,[25] so figuring out how to prevent such admissions has important economic implications. Although stress testing did keep patients from returning to the ED, it did not affect the ED physicians' decisions to admit. We found that stress testing does decrease subsequent resource utilization, but not enough to offset the initial cost of testing. Thus, stress testing does not appear to be a cost‐effective means to reduce readmissions.
Disclosures: Jaya Mallidi and Michael Rothberg had full access to all of the data in the study and take full responsibility for the integrity of the data and accuracy of the analysis. The authors report no conflicts of interest.
More than 9 million people visit the emergency department (ED) annually for evaluation of acute chest pain.[1, 2] Most of these patients are placed on observation status while being assessed for an acute coronary syndrome (ACS). Traditionally, serial cardiac enzymes and absence of changes suggestive of ischemia on electrocardiogram rule out ACS. Patients are then stratified based on their presentation and risk factors. However, healthcare providers are not comfortable discharging even low‐risk patients without further testing.[3] Routine treadmill stress testing is usually performed, often complimented by an imaging modality. A negative stress test before discharge reassures both the physician and the patient that the chest pain is not caused by an obstructive coronary lesion.
Patients with chest pain who have been discharged from the ED after ruling out an ACS are frequently readmitted for chest pain within 1 year.[4] It is unclear whether stress testing can prevent these readmissions by preventing return to the ED or by influencing the decision of ED physicians to admit patients for observation.[5, 6, 7] Even if stress testing can reduce ED visits or readmissions, it is not known whether the savings from preventing these visits can offset the initial cost of stress testing. The purpose of this study was to examine the impact of stress testing on readmission for chest pain, and to determine whether stress testing can reduce overall costs.
METHODS
Study Population
The hospital's billing database was used to obtain the data. Inclusion criteria included age 18 years or older with index hospitalization between January 2007and July 2009 with International Classification of Diseases, 9th Revision admitting diagnoses of chest pain (786.5), chest pain NOSnot otherwise specified (786.50), chest pain NECnot elsewhere classified (786.59) or angina pectoris (413.9). All eligible patients were admitted under observation status. Although observation patients are technically outpatients, they are cared for by inpatient physicians on inpatient units and are otherwise indistinguishable from inpatients. Patients with a discharge diagnosis of acute myocardial infarction at index admission were excluded. Also, patients who had a chest pain admission or an outpatient stress test within the previous 12 months of index admission were excluded.
Data Collection and Outcomes
All data were extracted electronically from the hospital's billing database. For each patient we noted age, sex, race, insurance status, and cardiovascular comorbidities (current smoker, congestive heart failure, valvular disease, pulmonary/circulatory disorders, peripheral vascular disease, obesity, diabetes mellitus, and hypertension). For each admission we ascertained whether or not any type of stress test was performed. We obtained ED and hospitalization costs for chest pain visits within 12 months of index admission from the hospital's cost accounting system. We also obtained corresponding physician charges as well as collection rate from the health system's clinical decision support system.
The primary outcome was the rate of ED visits and readmissions for chest pain within 1 year of the index visit. Secondary outcomes included total annual hospitalization and ED costs. Total annual costs were calculated by summing index costs and follow‐up costs for subsequent ED visits and readmissions.
Statistical Analysis
Fisher exact (categorical) and unpaired t tests/Wilcoxon rank sum (continuous) tests were used to compare the baseline characteristics of patients who received a stress test at index admission to those who did not. To address possible confounding by indication (allocation bias), the association between stress testing and various outcomes was quantified using multivariable logistic (ED visits and readmissions) or linear regression (costs).[8, 9] In addition, we developed a propensity model using conditional logistic regression and matched patients on propensity score using 1:1 greedy matching algorithm with a caliper tolerance of 0.05.[10, 11] For cost analyses, the annual collection rate was applied to all physician charges, and these were added to hospital or ED costs to obtain the total cost of each visit. The average cost of ED visits or readmissions for each group was calculated by dividing the total ED or readmission cost by the number of ED visits and readmissions, respectively. Physician charges were unavailable for approximately one‐third (1487/5163 or 29%) of all hospitalizations; missing charges were estimated using mean imputation, and sensitivity analyses were conducted to ensure consistency of inferences between full (imputed) and restricted models.[12, 13, 14] Stata/MP 12.1 for Windows (StataCorp, College Station, TX) was used for all analyses.
RESULTS
A total of 3315 patients admitted with chest pain during the study period met the inclusion criteria. Of these, 2376 (71.7%) had a stress test on index admission. Table 1 describes the baseline characteristics of the study population. Receipt of a stress test during index admission was positively associated with white race, private insurance, and number of cardiac comorbidities. The propensity model included these covariates as well as study year, age (80+ vs younger), sex, and smoking status. The C statistic, which quantifies the model's ability to discriminate subjects who received a stress test from those who did not, was 0.63 (95% confidence interval [CI]: 0.61 to 0.65). Of patients who returned to the ED, we were able to find propensity matches for 69% to create a matched sample of 1776 patients. Of patients who were readmitted, we were able to find matches for 83% to create a matched sample of 186 patients.
| Total, N=3315 | Stress Test Original Admission, N=2376 | No Stress Test, N=939 | P Valuea | |
|---|---|---|---|---|
| ||||
| Age, y, mean/SD | 57.5/13.9 | 57.2/12.8 | 58.2/16.2 | 0.10 |
| Male, n (%) | 1505 (45.4) | 1080 (45.5) | 425 (45.3) | 0.94 |
| Race, n (%) | <0.001 | |||
| White | 2082 (62.8) | 1552 (65.3) | 530 (56.4) | |
| Black | 345 (10.4) | 239 (10.1) | 106 (11.3) | |
| Hispanic | 585 (17.7) | 381 (16.0) | 204 (21.7) | |
| Other | 303 (9.1) | 204 (8.6) | 99 (10.5) | |
| Private insurance, n (%) | 1469 (44.3) | 1176 (49.5) | 293 (31.2) | <0.001 |
| No. of cardiovascular comorbidities, mean/SDb | 0.68/0.78 | 0.70/0.78 | 0.64/0.77 | 0.04 |
| Smoker, n (%) | 335 (10.1) | 249 (10.5) | 86 (9.2) | 0.28 |
| Return for chest pain, n (%) | 256 (7.7) | 148 (6.2) | 108 (11.5) | <0.001 |
| All cause return, n (%) | 1279 (38.6) | 819 (34.5) | 460 (49.0) | <0.001 |
| Median time to next chest pain visit, d (25th, 75th percentile) | 69 (6, 180) | 67 (5, 190) | 71 (9, 172) | 0.86 |
| Median time to all cause return, d (25th, 75th percentile) | 92 (27, 198) | 108 (33, 207) | 67 (20, 175) | <0.001 |
| Admitted upon first return for chest pain, n (%) | 112 (43.8) | 62 (41.9) | 50 (46.3) | 0.53 |
Subsequent ED Visits for Chest Pain
Within 1 year, 1279 (38.6%) of all patients returned to the ED, and 256 (7.7%) returned at least once for chest pain. Patients who had a stress test at index admission were less likely to return to ED for chest pain, compared to those who did not get a stress test at admission (6.2% vs 11.5%; P<0.001). The median time to the first subsequent ED visit for any complaint was greater among patients who had a stress test at index admission (108 days vs 67 days, P<0.001), but no effect was noted on time to return for chest complaint (67 days vs 71 days, P=0.86).
In a multivariable model, return to the ED for chest pain was positively associated with self‐reported nonwhite race, insurance with Medicare or Medicaid, and earlier year of index admission (Table 2). Return ED visit was negatively associated with stress testing at index admission (adjusted odds ratio [OR]: 0.5, 95% CI: 0.4 to 0.7; propensity‐matched analysis OR: 0.6, 95% CI: 0.5 to 0.9).
| Variable | Odds Ratio | 95% CI |
|---|---|---|
| ||
| Stress test | 0.5 | 0.4 0.7 |
| Age >80 years | 1.0 | 0.6 1.6 |
| Gender | ||
| Female | 1.0 | |
| Male | 1.0 | 0.8 1.3 |
| Race/ethnicity | ||
| White | 1.0 | |
| Hispanic | 1.6 | 1.2 2.3 |
| Black | 1.6 | 1.1 2.4 |
| Other | 2.3 | 1.6 3.5 |
| 1 Cardiac comorbiditya | 1.1 | 0.8 1.4 |
| Medicare/Medicaid | 1.5 | 1.1 2.0 |
| Year of index admission | ||
| 2007 | 1.0 | |
| 2008 | 0.8 | 0.6 1.1 |
| 2009 | 0.5 | 0.4 0.7 |
| Smoking | 1.4 | 0.9 2.1 |
Subsequent Readmissions for Chest Pain
Of the 256 patients who returned to the ED for chest pain, 112 (43.8%) were readmitted during the first return visit. There was no statistically significant difference in the proportion admitted from the ED by prior stress test status. In a multivariable model, readmission after returning to the ED for chest pain was positively associated with cardiac comorbidities and earlier year of index admission (Table 3). The decision to readmit was not significantly associated with prior stress testing (adjusted OR: 0.8, 95% CI: 0.5 to 1.4; propensity‐matched analysis OR: 0.8, 95% CI: 0.4 to 1.4).
| Variable | Odds Ratio | 95% CI |
|---|---|---|
| ||
| Stress test | 0.8 | 0.5 1.4 |
| Age >80 years | 1.0 | 0.4 2.6 |
| Gender | ||
| Female | 1.0 | |
| Male | 1.0 | 0.6 1.7 |
| Race/ethnicity | ||
| White | 1.0 | |
| Hispanic | 1.3 | 0.6 2.5 |
| Black | 0.6 | 0.2 1.4 |
| Other | 4.5 | 1.9 10.6 |
| 1 Cardiac comorbiditya | 1.8 | 1.0 3.4 |
| Medicare/Medicaid | 1.3 | 0.7 2.4 |
| Year of index admission | ||
| 2007 | 1.0 | |
| 2008 | 0.6 | 0.4 1.2 |
| 2009 | 0.2 | 0.1 0.5 |
| Smoker | 0.3 | 0.1 0.8 |
Cost Analysis
The average multivariable‐adjusted cost (hospital+physician costs) for a patient at index chest pain admission was $3462 if a stress test was performed compared to $2374 without a stress test (+$1088, 95% CI: $972 to $1203). In the propensity‐matched sample the difference was +$1211(95% CI: $1084 to $1338). There were 155 occasions on which a patient returned to the ED for chest pain but was not readmitted. The average per‐visit cost did not differ based on prior stress test status in the overall sample ($763 if stress testing done previously vs $722 if not [+$41, 95% CI: $43 to+$125]) or in the propensity‐matched sample ($787 if stress testing was done vs $744 if not [$43, 95% CI: $54 to +$140]). Because ED visits were less frequent among patients who had a stress test at index admission, the average annual cost of ED visits was significantly lower for this group ($32 vs $52; $20, 95% CI: $36 to $4) or ($42 vs $54; $12 (95% CI: $32 to +$8) in the propensity‐matched sample. For the 117 occasions on which a patient returned with chest pain and was readmitted, the average cost per readmission also did not differ based on whether a stress test was performed at index admission or not ($2912 vs $2806, P=0.85). Again, because readmissions were less common after stress testing, the average cost of readmissions was lower for patients with stress tests than for those without ($88 vs $180; $92, 95% CI: $176 to $8) or $137 vs $194 ( $57, 95% CI: $161 to $47) in the propensity‐matched sample. The total cost of all visits (index, ED, and readmissions) was higher for patients who had a stress test at index admission than for those who did not ($3582 vs $2606; +$975, 95% CI: $829 to $1122) or ($3833 vs $2690; +$1142, 95% CI: $970, $1315) in the propensity‐matched sample.
DISCUSSION
In this retrospective cohort study of patients admitted with low‐risk chest pain, we found that a majority (>70%) underwent stress testing prior to discharge. Within 1 year approximately 8% returned to the ED with chest pain. Stress testing at index admission was associated with 40% reduction in the odds of subsequent ED visits for chest pain; however, once in the ED, having a previous stress test did not significantly affect the decision to admit. Despite the reduction in readmission rates, the overall hospital costsincluding cost of index admission, subsequent ED visits, and readmissionswere higher for patients who had a stress test at index admission.
Two other studies have evaluated the impact of stress testing on return ED visits.[5, 6] In a cohort of 1195 low‐risk chest pain patients at a tertiary center in New York, patients who underwent stress testing were less likely to return to the ED for chest pain within 3 months compared to those who did not get a stress test (10% vs 15%, P<0.001).[5] In contrast, another prospective study of 692 low‐risk chest pain patients found no difference in return ED visits between patients who were evaluated versus those who were not evaluated for underlying coronary artery disease at index admission by stress testing or cardiac catheterization (39% vs 40%; P=0.85).[6] In this study, the lack of difference may have been due to the population sampled, which had high rates of return in both groups. In our study, we also found that having a previous stress test does not significantly impact the decision to admit the patient. This was consistent with the results of another prospective cohort study of low‐risk chest pain patients presenting to the ED.[7]
Previous studies offer conflicting interpretations of the cost implications of stress testing in this population. Based on studies conducted in the 1990s that showed that mandatory stress testing in the ED was cost‐effective compared to hospital admission,[15, 16] the most recent scientific statement by the American Heart Association recommends stress testing for all low‐risk chest pain patients.[17] However, more recent studies have questioned the value of diagnostic testing beyond serial electrocardiograms and cardiac enzymes in low‐risk patients.[18, 19, 20, 21, 22] In a study done at our institution among patients admitted with low‐risk chest pain, the rate of positive stress tests was noted to be extremely low, and patients had a benign course; at 30 days the rates of major cardiovascular events was as low as 0.3%.[19] Other studies also showed no difference in outcomes among patients who received inpatient, outpatient, or no stress testing.[21, 22]
These studies have generally been limited to the initial hospitalization period. Our study extends these findings in terms of resource utilization to the year following hospitalization. This is important because physicians might order stress tests to reassure patients or themselves that the pain is noncardiac, with the hope that this will decrease subsequent ED visits or readmissions. In our study, stress tests did reduce both ED visits and readmissions, but the index cost of hospitalization was so much higher with stress testing that the reduced readmissions did not offset the initial costs. Because stress tests have not been shown to change cardiovascular outcomes but did increase costs, it may be time to reevaluate the need for any kind of inpatient stress testing in these patients.
Our study has several limitations. The retrospective nature of the study subjects it to confounding. We adjusted for demographics, insurance, and comorbidities, but other unmeasured elements of the patients' presentation might have affected stress test ordering and subsequent return to the ED. In addition, we relied on administrative data, and comorbidities may not have been documented completely. During the follow‐up period, we did not take into account patients who presented to the EDs of other hospitals or those who might have died. Because there is only one other hospital in our city, and it does not perform angioplasties, it is unlikely that we missed many infarctions this way, but we may not have included all ED visits. Similarly, we included only costs accrued within our healthcare system. If patients presented to outside facilities for testing or treatment, we were unable to capture it. It is possible that patients who did not undergo initial stress testing may have been more likely to have subsequent testing at outside facilities, which would have reduced the difference in cost that we observed. However, given the magnitude of this difference, it is unlikely that including outside costs would have completely eliminated the difference. The data in our study were collected over a 3‐year period. Secular trends in the healthcare system over that time could potentially have affected our results. To reduce this bias, we included the year of the study in the propensity model. Also, the study was performed at a single hospital, and the results might not be generalizable to other institutions. Ours is a large independent academic medical center serving both a tertiary and a community role. Therefore, the population it serves would appear to be representative of the general population having chest pain without ACS.
Finally, we did not collect data on the results of stress tests. It is probable that the decision to admit a patient is modified by the results of a previous test, and this was not explored in our analysis. Presumably, patients with positive tests would be more likely, and those with negative tests less likely, to be admitted than patients who had no previous test. Previous studies have shown that among low‐risk chest pain patients, the rate of abnormal stress tests is <15%, and among these only a minority (0.6%0.7%) can benefit from revascularization.[19, 20] Therefore, testing should result in a lower rate of readmissions overall, which is what we observed in this study. Once patients reached the ED, however, the decision to admit was not associated with having a previous stress test. This could be due to a high rate of positive tests among patients who came to the ED, or a lack of discrimination by ED physicians. Although our study design could not distinguish between these 2 possibilities, studies have shown that fear of litigation and aversion to risk play an important role in this decision,[23, 24] and it is possible that these considerations override the results of previous stress tests, which cannot categorically rule out current ischemia.
In an era of rising healthcare costs and limited resources, the care of low‐risk chest pain is an attractive target for cost‐reduction strategies. Low‐risk chest pain accounts for 1.8 % of all admissions, at an average annual cost of $3.4 billion in the United States,[25] so figuring out how to prevent such admissions has important economic implications. Although stress testing did keep patients from returning to the ED, it did not affect the ED physicians' decisions to admit. We found that stress testing does decrease subsequent resource utilization, but not enough to offset the initial cost of testing. Thus, stress testing does not appear to be a cost‐effective means to reduce readmissions.
Disclosures: Jaya Mallidi and Michael Rothberg had full access to all of the data in the study and take full responsibility for the integrity of the data and accuracy of the analysis. The authors report no conflicts of interest.
More than 9 million people visit the emergency department (ED) annually for evaluation of acute chest pain.[1, 2] Most of these patients are placed on observation status while being assessed for an acute coronary syndrome (ACS). Traditionally, serial cardiac enzymes and absence of changes suggestive of ischemia on electrocardiogram rule out ACS. Patients are then stratified based on their presentation and risk factors. However, healthcare providers are not comfortable discharging even low‐risk patients without further testing.[3] Routine treadmill stress testing is usually performed, often complimented by an imaging modality. A negative stress test before discharge reassures both the physician and the patient that the chest pain is not caused by an obstructive coronary lesion.
Patients with chest pain who have been discharged from the ED after ruling out an ACS are frequently readmitted for chest pain within 1 year.[4] It is unclear whether stress testing can prevent these readmissions by preventing return to the ED or by influencing the decision of ED physicians to admit patients for observation.[5, 6, 7] Even if stress testing can reduce ED visits or readmissions, it is not known whether the savings from preventing these visits can offset the initial cost of stress testing. The purpose of this study was to examine the impact of stress testing on readmission for chest pain, and to determine whether stress testing can reduce overall costs.
METHODS
Study Population
The hospital's billing database was used to obtain the data. Inclusion criteria included age 18 years or older with index hospitalization between January 2007and July 2009 with International Classification of Diseases, 9th Revision admitting diagnoses of chest pain (786.5), chest pain NOSnot otherwise specified (786.50), chest pain NECnot elsewhere classified (786.59) or angina pectoris (413.9). All eligible patients were admitted under observation status. Although observation patients are technically outpatients, they are cared for by inpatient physicians on inpatient units and are otherwise indistinguishable from inpatients. Patients with a discharge diagnosis of acute myocardial infarction at index admission were excluded. Also, patients who had a chest pain admission or an outpatient stress test within the previous 12 months of index admission were excluded.
Data Collection and Outcomes
All data were extracted electronically from the hospital's billing database. For each patient we noted age, sex, race, insurance status, and cardiovascular comorbidities (current smoker, congestive heart failure, valvular disease, pulmonary/circulatory disorders, peripheral vascular disease, obesity, diabetes mellitus, and hypertension). For each admission we ascertained whether or not any type of stress test was performed. We obtained ED and hospitalization costs for chest pain visits within 12 months of index admission from the hospital's cost accounting system. We also obtained corresponding physician charges as well as collection rate from the health system's clinical decision support system.
The primary outcome was the rate of ED visits and readmissions for chest pain within 1 year of the index visit. Secondary outcomes included total annual hospitalization and ED costs. Total annual costs were calculated by summing index costs and follow‐up costs for subsequent ED visits and readmissions.
Statistical Analysis
Fisher exact (categorical) and unpaired t tests/Wilcoxon rank sum (continuous) tests were used to compare the baseline characteristics of patients who received a stress test at index admission to those who did not. To address possible confounding by indication (allocation bias), the association between stress testing and various outcomes was quantified using multivariable logistic (ED visits and readmissions) or linear regression (costs).[8, 9] In addition, we developed a propensity model using conditional logistic regression and matched patients on propensity score using 1:1 greedy matching algorithm with a caliper tolerance of 0.05.[10, 11] For cost analyses, the annual collection rate was applied to all physician charges, and these were added to hospital or ED costs to obtain the total cost of each visit. The average cost of ED visits or readmissions for each group was calculated by dividing the total ED or readmission cost by the number of ED visits and readmissions, respectively. Physician charges were unavailable for approximately one‐third (1487/5163 or 29%) of all hospitalizations; missing charges were estimated using mean imputation, and sensitivity analyses were conducted to ensure consistency of inferences between full (imputed) and restricted models.[12, 13, 14] Stata/MP 12.1 for Windows (StataCorp, College Station, TX) was used for all analyses.
RESULTS
A total of 3315 patients admitted with chest pain during the study period met the inclusion criteria. Of these, 2376 (71.7%) had a stress test on index admission. Table 1 describes the baseline characteristics of the study population. Receipt of a stress test during index admission was positively associated with white race, private insurance, and number of cardiac comorbidities. The propensity model included these covariates as well as study year, age (80+ vs younger), sex, and smoking status. The C statistic, which quantifies the model's ability to discriminate subjects who received a stress test from those who did not, was 0.63 (95% confidence interval [CI]: 0.61 to 0.65). Of patients who returned to the ED, we were able to find propensity matches for 69% to create a matched sample of 1776 patients. Of patients who were readmitted, we were able to find matches for 83% to create a matched sample of 186 patients.
| Total, N=3315 | Stress Test Original Admission, N=2376 | No Stress Test, N=939 | P Valuea | |
|---|---|---|---|---|
| ||||
| Age, y, mean/SD | 57.5/13.9 | 57.2/12.8 | 58.2/16.2 | 0.10 |
| Male, n (%) | 1505 (45.4) | 1080 (45.5) | 425 (45.3) | 0.94 |
| Race, n (%) | <0.001 | |||
| White | 2082 (62.8) | 1552 (65.3) | 530 (56.4) | |
| Black | 345 (10.4) | 239 (10.1) | 106 (11.3) | |
| Hispanic | 585 (17.7) | 381 (16.0) | 204 (21.7) | |
| Other | 303 (9.1) | 204 (8.6) | 99 (10.5) | |
| Private insurance, n (%) | 1469 (44.3) | 1176 (49.5) | 293 (31.2) | <0.001 |
| No. of cardiovascular comorbidities, mean/SDb | 0.68/0.78 | 0.70/0.78 | 0.64/0.77 | 0.04 |
| Smoker, n (%) | 335 (10.1) | 249 (10.5) | 86 (9.2) | 0.28 |
| Return for chest pain, n (%) | 256 (7.7) | 148 (6.2) | 108 (11.5) | <0.001 |
| All cause return, n (%) | 1279 (38.6) | 819 (34.5) | 460 (49.0) | <0.001 |
| Median time to next chest pain visit, d (25th, 75th percentile) | 69 (6, 180) | 67 (5, 190) | 71 (9, 172) | 0.86 |
| Median time to all cause return, d (25th, 75th percentile) | 92 (27, 198) | 108 (33, 207) | 67 (20, 175) | <0.001 |
| Admitted upon first return for chest pain, n (%) | 112 (43.8) | 62 (41.9) | 50 (46.3) | 0.53 |
Subsequent ED Visits for Chest Pain
Within 1 year, 1279 (38.6%) of all patients returned to the ED, and 256 (7.7%) returned at least once for chest pain. Patients who had a stress test at index admission were less likely to return to ED for chest pain, compared to those who did not get a stress test at admission (6.2% vs 11.5%; P<0.001). The median time to the first subsequent ED visit for any complaint was greater among patients who had a stress test at index admission (108 days vs 67 days, P<0.001), but no effect was noted on time to return for chest complaint (67 days vs 71 days, P=0.86).
In a multivariable model, return to the ED for chest pain was positively associated with self‐reported nonwhite race, insurance with Medicare or Medicaid, and earlier year of index admission (Table 2). Return ED visit was negatively associated with stress testing at index admission (adjusted odds ratio [OR]: 0.5, 95% CI: 0.4 to 0.7; propensity‐matched analysis OR: 0.6, 95% CI: 0.5 to 0.9).
| Variable | Odds Ratio | 95% CI |
|---|---|---|
| ||
| Stress test | 0.5 | 0.4 0.7 |
| Age >80 years | 1.0 | 0.6 1.6 |
| Gender | ||
| Female | 1.0 | |
| Male | 1.0 | 0.8 1.3 |
| Race/ethnicity | ||
| White | 1.0 | |
| Hispanic | 1.6 | 1.2 2.3 |
| Black | 1.6 | 1.1 2.4 |
| Other | 2.3 | 1.6 3.5 |
| 1 Cardiac comorbiditya | 1.1 | 0.8 1.4 |
| Medicare/Medicaid | 1.5 | 1.1 2.0 |
| Year of index admission | ||
| 2007 | 1.0 | |
| 2008 | 0.8 | 0.6 1.1 |
| 2009 | 0.5 | 0.4 0.7 |
| Smoking | 1.4 | 0.9 2.1 |
Subsequent Readmissions for Chest Pain
Of the 256 patients who returned to the ED for chest pain, 112 (43.8%) were readmitted during the first return visit. There was no statistically significant difference in the proportion admitted from the ED by prior stress test status. In a multivariable model, readmission after returning to the ED for chest pain was positively associated with cardiac comorbidities and earlier year of index admission (Table 3). The decision to readmit was not significantly associated with prior stress testing (adjusted OR: 0.8, 95% CI: 0.5 to 1.4; propensity‐matched analysis OR: 0.8, 95% CI: 0.4 to 1.4).
| Variable | Odds Ratio | 95% CI |
|---|---|---|
| ||
| Stress test | 0.8 | 0.5 1.4 |
| Age >80 years | 1.0 | 0.4 2.6 |
| Gender | ||
| Female | 1.0 | |
| Male | 1.0 | 0.6 1.7 |
| Race/ethnicity | ||
| White | 1.0 | |
| Hispanic | 1.3 | 0.6 2.5 |
| Black | 0.6 | 0.2 1.4 |
| Other | 4.5 | 1.9 10.6 |
| 1 Cardiac comorbiditya | 1.8 | 1.0 3.4 |
| Medicare/Medicaid | 1.3 | 0.7 2.4 |
| Year of index admission | ||
| 2007 | 1.0 | |
| 2008 | 0.6 | 0.4 1.2 |
| 2009 | 0.2 | 0.1 0.5 |
| Smoker | 0.3 | 0.1 0.8 |
Cost Analysis
The average multivariable‐adjusted cost (hospital+physician costs) for a patient at index chest pain admission was $3462 if a stress test was performed compared to $2374 without a stress test (+$1088, 95% CI: $972 to $1203). In the propensity‐matched sample the difference was +$1211(95% CI: $1084 to $1338). There were 155 occasions on which a patient returned to the ED for chest pain but was not readmitted. The average per‐visit cost did not differ based on prior stress test status in the overall sample ($763 if stress testing done previously vs $722 if not [+$41, 95% CI: $43 to+$125]) or in the propensity‐matched sample ($787 if stress testing was done vs $744 if not [$43, 95% CI: $54 to +$140]). Because ED visits were less frequent among patients who had a stress test at index admission, the average annual cost of ED visits was significantly lower for this group ($32 vs $52; $20, 95% CI: $36 to $4) or ($42 vs $54; $12 (95% CI: $32 to +$8) in the propensity‐matched sample. For the 117 occasions on which a patient returned with chest pain and was readmitted, the average cost per readmission also did not differ based on whether a stress test was performed at index admission or not ($2912 vs $2806, P=0.85). Again, because readmissions were less common after stress testing, the average cost of readmissions was lower for patients with stress tests than for those without ($88 vs $180; $92, 95% CI: $176 to $8) or $137 vs $194 ( $57, 95% CI: $161 to $47) in the propensity‐matched sample. The total cost of all visits (index, ED, and readmissions) was higher for patients who had a stress test at index admission than for those who did not ($3582 vs $2606; +$975, 95% CI: $829 to $1122) or ($3833 vs $2690; +$1142, 95% CI: $970, $1315) in the propensity‐matched sample.
DISCUSSION
In this retrospective cohort study of patients admitted with low‐risk chest pain, we found that a majority (>70%) underwent stress testing prior to discharge. Within 1 year approximately 8% returned to the ED with chest pain. Stress testing at index admission was associated with 40% reduction in the odds of subsequent ED visits for chest pain; however, once in the ED, having a previous stress test did not significantly affect the decision to admit. Despite the reduction in readmission rates, the overall hospital costsincluding cost of index admission, subsequent ED visits, and readmissionswere higher for patients who had a stress test at index admission.
Two other studies have evaluated the impact of stress testing on return ED visits.[5, 6] In a cohort of 1195 low‐risk chest pain patients at a tertiary center in New York, patients who underwent stress testing were less likely to return to the ED for chest pain within 3 months compared to those who did not get a stress test (10% vs 15%, P<0.001).[5] In contrast, another prospective study of 692 low‐risk chest pain patients found no difference in return ED visits between patients who were evaluated versus those who were not evaluated for underlying coronary artery disease at index admission by stress testing or cardiac catheterization (39% vs 40%; P=0.85).[6] In this study, the lack of difference may have been due to the population sampled, which had high rates of return in both groups. In our study, we also found that having a previous stress test does not significantly impact the decision to admit the patient. This was consistent with the results of another prospective cohort study of low‐risk chest pain patients presenting to the ED.[7]
Previous studies offer conflicting interpretations of the cost implications of stress testing in this population. Based on studies conducted in the 1990s that showed that mandatory stress testing in the ED was cost‐effective compared to hospital admission,[15, 16] the most recent scientific statement by the American Heart Association recommends stress testing for all low‐risk chest pain patients.[17] However, more recent studies have questioned the value of diagnostic testing beyond serial electrocardiograms and cardiac enzymes in low‐risk patients.[18, 19, 20, 21, 22] In a study done at our institution among patients admitted with low‐risk chest pain, the rate of positive stress tests was noted to be extremely low, and patients had a benign course; at 30 days the rates of major cardiovascular events was as low as 0.3%.[19] Other studies also showed no difference in outcomes among patients who received inpatient, outpatient, or no stress testing.[21, 22]
These studies have generally been limited to the initial hospitalization period. Our study extends these findings in terms of resource utilization to the year following hospitalization. This is important because physicians might order stress tests to reassure patients or themselves that the pain is noncardiac, with the hope that this will decrease subsequent ED visits or readmissions. In our study, stress tests did reduce both ED visits and readmissions, but the index cost of hospitalization was so much higher with stress testing that the reduced readmissions did not offset the initial costs. Because stress tests have not been shown to change cardiovascular outcomes but did increase costs, it may be time to reevaluate the need for any kind of inpatient stress testing in these patients.
Our study has several limitations. The retrospective nature of the study subjects it to confounding. We adjusted for demographics, insurance, and comorbidities, but other unmeasured elements of the patients' presentation might have affected stress test ordering and subsequent return to the ED. In addition, we relied on administrative data, and comorbidities may not have been documented completely. During the follow‐up period, we did not take into account patients who presented to the EDs of other hospitals or those who might have died. Because there is only one other hospital in our city, and it does not perform angioplasties, it is unlikely that we missed many infarctions this way, but we may not have included all ED visits. Similarly, we included only costs accrued within our healthcare system. If patients presented to outside facilities for testing or treatment, we were unable to capture it. It is possible that patients who did not undergo initial stress testing may have been more likely to have subsequent testing at outside facilities, which would have reduced the difference in cost that we observed. However, given the magnitude of this difference, it is unlikely that including outside costs would have completely eliminated the difference. The data in our study were collected over a 3‐year period. Secular trends in the healthcare system over that time could potentially have affected our results. To reduce this bias, we included the year of the study in the propensity model. Also, the study was performed at a single hospital, and the results might not be generalizable to other institutions. Ours is a large independent academic medical center serving both a tertiary and a community role. Therefore, the population it serves would appear to be representative of the general population having chest pain without ACS.
Finally, we did not collect data on the results of stress tests. It is probable that the decision to admit a patient is modified by the results of a previous test, and this was not explored in our analysis. Presumably, patients with positive tests would be more likely, and those with negative tests less likely, to be admitted than patients who had no previous test. Previous studies have shown that among low‐risk chest pain patients, the rate of abnormal stress tests is <15%, and among these only a minority (0.6%0.7%) can benefit from revascularization.[19, 20] Therefore, testing should result in a lower rate of readmissions overall, which is what we observed in this study. Once patients reached the ED, however, the decision to admit was not associated with having a previous stress test. This could be due to a high rate of positive tests among patients who came to the ED, or a lack of discrimination by ED physicians. Although our study design could not distinguish between these 2 possibilities, studies have shown that fear of litigation and aversion to risk play an important role in this decision,[23, 24] and it is possible that these considerations override the results of previous stress tests, which cannot categorically rule out current ischemia.
In an era of rising healthcare costs and limited resources, the care of low‐risk chest pain is an attractive target for cost‐reduction strategies. Low‐risk chest pain accounts for 1.8 % of all admissions, at an average annual cost of $3.4 billion in the United States,[25] so figuring out how to prevent such admissions has important economic implications. Although stress testing did keep patients from returning to the ED, it did not affect the ED physicians' decisions to admit. We found that stress testing does decrease subsequent resource utilization, but not enough to offset the initial cost of testing. Thus, stress testing does not appear to be a cost‐effective means to reduce readmissions.
Disclosures: Jaya Mallidi and Michael Rothberg had full access to all of the data in the study and take full responsibility for the integrity of the data and accuracy of the analysis. The authors report no conflicts of interest.
© 2013 Society of Hospital Medicine
AMA Documentation Analysis
Approximately 1% to 2% of inpatient stays result in discharges against medical advice (AMA).[1] Though relatively infrequent, AMA discharges warrant attention as they are associated with higher morbidity, increased risk of readmission, and greater 30‐day mortality.[2] A recent study found a 30‐day readmission rate among AMA patients of 24.5%, nearly twice that of matched non‐AMA patients, and a 30‐day mortality rate of 1.3%, also nearly double that of planned discharges.[3] Discharges AMA may be expected to decrease index length of stay, yet accounting for 30‐day readmissions they are estimated to increase costs 56% higher than expected from an initial hospitalization.[4] Patients note several possible reasons for leaving AMA including family emergencies, dissatisfaction with care, financial concerns, or simply feeling better, among others.[5, 6, 7] Risk factors for AMA discharges include previous AMA discharge, having no primary care physician, younger age, lack of insurance, male sex, substance abuse, and lower socioeconomic status.[4, 6, 7, 8]
A number of prior studies have assessed risk factors for AMA discharges, the long‐ and short‐term outcomes, patient reasons for leaving, and physician perceptions of why patients leave AMA.[3, 5, 7, 9] However, there is limited information about opportunities for discharge transition interventions in this potentially more vulnerable population. Because of the increased short‐term and long‐term risks to these patients, treatment and follow‐up plans at the time of discharge may carry even greater importance than follow‐up plans with standard discharges. This study analyzed AMA documentation and what interventions were carried out at the time of discharge.
METHODS
We reviewed the records of all adult patients, ages 18 years and older, admitted to a university‐affiliated tertiary care hospital in Dayton, Ohio (a 520‐bed hospital with approximately 17,000 adult patient encounters per year) over a 2‐year period, and who subsequently left AMA. A hospital database identified 351 adult AMA cases (1.0% of adult admissions). A single reviewer performed an in‐depth review of the 291 patient admissions to the general medical service between January 1, 2009 and December 31, 2010, and manually reviewed and abstracted the data of interest. The Wright State University institutional review board approved the study.
Documentation review focused on the presence of a specified AMA note, the presence of documentation addressing informed consent, patient decision‐making capacity, patient health literacy, follow‐up plans, whether or not medications were prescribed, and whether or not any warning indicators of impending AMA were apparent. These items represented key elements of the discharge policy and procedure in place at our institution during the period of study. We speculated that nurses may be more immediately available at the time of AMA discharge and thus might carry out AMA documentation more often than physicians. To assess this we recorded the role (nurse vs provider) of the writer of AMA notes. We also assessed patient gender, length of stay, prior AMA, 30‐day emergency department (ED) re‐encounters, and 30‐day hospital readmission after AMA discharge.
Informed consent was deemed present if patients signed the hospital's standardized AMA form. Decision‐making capacity was assessed as present if there was specific mention of the patient's capacity on the day of discharge. Any mention of health literacy or the patient's stated understanding of his medical condition at any time during the hospitalization was considered positive documentation of healthcare literacy. Follow‐up plans included any mention of where and when the patient would return. Discharge medications included prescribed medication or indication that no medications were warranted. Warning indicators included specific mention of the patient's desire to leave AMA. For example, patients who left the unit without informing staff were considered to have given no warning of AMA. Alternatively, when documentation was present stating that the patient had verbally expressed a desire to leave AMA, this was considered advanced warning of AMA.
Statistical Analysis
Continuous variables were reported as means and standard deviations. Categorical variables were reported as counts and percents. The independent samples t test was used for comparisons involving 2 groups and a second variable measured on a continuous scale. The 2 test was used to compare 2 categorical variables. Inferences were made at the 0.05 level of significance with no correction for multiple comparisons.
RESULTS
Mean age and gender distribution were similar to those reported in other AMA studies (Table 1).[3] Thirty‐day ED revisit and 30‐day hospital readmission frequencies for medical service patients were 121 (41.6%) and 88 (30.2%), respectively, also similar to those reported in other AMA studies.[3]
| Study Population, Mean SD or Count (%) | Hospital Population, Mean or Count (%) | |
|---|---|---|
| ||
| Age, y | 45.3 15.9 | 62.8 18.2 |
| Sex | ||
| Male | 168 (57.7) | 14,965 (43.6) |
| Female | 123 (42.3) | 19,333 (56.4) |
| Length of stay, d | 2.46 2.82 | 4.72 4.74 |
| 30‐day ED re‐encounter rate | 121 (41.6) | |
| 30‐day hospital readmission rate | 88 (30.2) | 4424 (12.9) |
| Prior AMA discharge | 49 (16.8) | |
Although our intent was to conduct a quantitative assessment of discharge interventions, we found stated reasons for leaving similar to those previously reported. In our study, AMA patients tended to be younger, more likely male, and at increased risk for AMA discharge if they had prior AMA discharges (Table 1). The most common reasons found in the medical record for leaving AMA were caring for sick family members, financial concerns, feeling better, and occasionally dissatisfaction with care, reasons similar to those reported in previous studies.[5, 7, 9, 10]
AMA notes were present in 276 (94.8%) charts. AMA notes were written by physicians in 163 (59.1%) and nurses in 110 (37.8%) encounters. The informed consent form was present in 88 (30.2%) charts, mentioned in the note but not present in the electronic medical record in 111 (38.1%), and not signed in 92 (31.6%) charts. Decision‐making capacity and health literacy were documented in 108 (37.1%) and 75 (25.8%) records, respectively. Warning of impending AMA was present in 217 (74.6%) charts. Medications prescribed and follow‐up plans were only documented in 71 (24.4%) and 91 (31.3%) charts, respectively (Table 2).
| Count (%) | |
|---|---|
| |
| AMA note present | 276 (94.8) |
| Primary AMA note author | |
| Physician | 163 (56) |
| Nurse, without physician note | 110 (37.8) |
| Other (ie, social worker) | 3 (1.0) |
| Warning of impending AMA | 217 (74.6) |
| Informed consent signed | |
| Yes | 88 (30.2) |
| No | 92 (31.6) |
| Absenta | 111 (38.1) |
| Documentation of decision‐making capacity | 108 (37.1) |
| Documentation of health literacy | 75 (25.8) |
| Documentation of follow‐up plan | 91 (31.3) |
| Documentation of medications at discharge | 71 (24.4) |
Patients with documentation of medications given did not have decreased 30‐day ED revisits (33.8% vs 44.3%, P = 0.12) or 30‐day hospital readmission (23.9% vs 32.4%, P = 0.18). Similarly, there was no relationship between documentation of follow‐up plans and 30‐day ED revisits (37.4% vs 43.7%, P = 0.31) or 30‐day hospital readmission (29.7% vs 30.7%, P = 0.87). Finally, there was no relationship between physician versus nurse authorship of AMA notes and 30‐day ED revisits (37.4% vs 46.4%, P = 0.14) or 30‐day hospital readmission (28.2% vs 31.8%, P = 0.52) (Table 3).
| Yes, % | No, % | P Value | |
|---|---|---|---|
| |||
| Documentation of discharge medicationsa | |||
| 30‐day ED revisit | 33.8 | 44.3 | 0.12 |
| 30‐day rehospitalization | 23.9 | 32.4 | 0.18 |
| Documentation of follow‐up | |||
| 30‐day ED revisit | 37.4 | 43.7 | 0.31 |
| 30‐day rehospitalization | 29.7 | 30.7 | 0.87 |
| Physician author of AMA note | |||
| 30‐day ED revisit | 37.4 | 46.4 | 0.14 |
| 30‐day rehospitalization | 28.2 | 31.8 | 0.52 |
| Documentation of medications | 36.2 | 10.0 | 0.001 |
| Documentation of follow‐up plan | 43.6 | 16.4 | 0.001 |
| Warning of AMA | |||
| Documentation of medications | 30.4 | 6.8 | 0.001 |
| Documentation of follow‐up plan | 37.3 | 13.5 | 0.001 |
Physician documentation of the AMA was associated with an increased frequency of discharge medication being prescribed (36.2% vs 10.0%, P 0.001) and with an increased finding of documented follow‐up plans (43.6% vs 16.4%, P 0.001). A documented warning of impending AMA was associated with an increased frequency of discharge medication being prescribed (30.4% vs 6.8%, P 0.001) and increased frequency of follow‐up plans being documented (37.3% vs 13.5%, P 0.001) (Table 3).
DISCUSSION
To gain insights into opportunities for discharge transition interventions in this potentially more vulnerable population,[1, 5] we analyzed AMA documentation and what interventions were carried out at the time of discharge. Our intent was a quantitative assessment of discharge interventions, but we also found stated reasons for leaving AMA that were similar to those previously reported.[5, 6, 10]
We identified several opportunities for improved documentation as well as targeted discharge intervention among AMA patients. Documentation in the charts of AMA patients was often suboptimal. In our study, a physician's AMA note was present only half of the time. Mention of the patient's mental status or health literacy was present in only one‐fourth of cases. Protection from litigation in AMA cases is enhanced when these elements and others, like informed consent, are present in the medical record.[11]
Physician documentation of the AMA was associated with an increased frequency of discharge medication being prescribed and with an increased finding of documented follow‐up plans. This association might be confounded by the fact that physicians can prescribe whereas most nurses cannot. The findings that a documented warning of impending AMA was associated with an increased frequency of discharge medication being prescribed (30.4% vs 6.8%, P 0.001) and increased frequency of follow‐up plans being documented (37.3% vs 13.5%, P 0.001) suggest opportunities for improvement through early inquiry about potential for AMA as well as early responses when patients threaten to leave AMA.
An important focus of our study was on documentation of discharge medications and follow‐up plans. These elements were documented in 31% and 25% of charts, respectively. A warning of impending AMA was present in 74.6% of encounters, yet medications and follow‐up plans were documented at a much lower rate. This represents an area where caregivers have the possibility to intervene, but are not documenting that they are doing so. We found no relationship between the documentation of giving prescriptions and giving explicit follow‐up plans with decreased rates of return to the ED or readmission, but that possibility may still warrant future prospective study.
Our study did not attempt to explain why only a minority of AMA discharges include medication prescription or follow‐up plans, but a number of potential explanations are possible. Some AMA discharges may occur unannounced with a patient simply walking off the ward giving little or no advance notice. It is also possible that provider perceptions and attitudes toward AMA patients may influence potential interventions.[12] An AMA discharge is against the caregiver's preferred advice for the patient, and it may seem illogical to offer patients second‐best advice. Perhaps some providers have the misconception that medications cannot or must not be prescribed for an AMA discharge. However, second‐best therapy may be better than no therapy, and some follow‐up better than no follow‐up plan.
Given the high rates of ED return and 30‐day readmission, the associated increased healthcare costs as well as increased morbidity and mortality associated with AMA dispositions, a continued search for effective intervention strategies and opportunities is warranted. Recently, programs for transition of care/discharge have demonstrated improved outcomes including reduced rates of readmission with standard discharges.[13] At the time of our study, effective programs such as Project BOOST (Better Outcomes for Older adult through Safe Transitions),[14] the Care Transitions Program,[15] and RED (Project Re‐engineered Discharge)[16] were not yet routinely employed, but their common elements may be applicable to the AMA population. In general, these programs focus on elements we investigated (patient understanding, follow‐up plans, medications prescribed) but add a number of additional components. Additional elements include written discharge instructions, patient education, teach‐back process, decision support, emergency plans, caregiver education, telephone follow‐up, and transition coaches to coordinate home and office follow‐up visits. Most potential interventions add significant time (and cost) to the discharge process. Thus, future studies applying these components to AMA discharges should emphasize timely identification of threatened AMA and prioritized interventions. Future studies should focus on which interventions are the most cost‐effective with AMA patients.
Limitations of our study include not being able to access information from area hospitals not in our hospital network, and thus we may not have identified all ED returns and readmissions. Additionally, interventions at the time of discharge (like prescription of medications or provider assessment of decision‐making capacity) may not have been documented and thus not available for our review. Also, our study was a retrospective review at a single institution and included a relatively small population of patients; consequently, our findings may not apply to other healthcare providers in other hospitals or settings. Our study was strengthened by reviewing all consecutive AMA cases over a 2‐year period encompassing a diverse group of healthcare providers.
CONCLUSION
In the majority of cases reviewed, some advance warning of impending AMA is apparent, affording an opportunity for interventions that may improve health outcomes. Despite this advance warning, only a minority of cases result in key interventions such as prescription of medications or development of follow‐up plans. Medical documentation of AMA dispositions is often inadequate, suggesting missed opportunities for potential intervention as well as suboptimal medicolegal scenarios. Future prospective studies examining cost‐effective interventions at the time of AMA discharge and transition of care may provide valuable insight into lowering rates of ED return and rehospitalization.
Disclosures: The views and opinions expressed in this article are those of the author(s) and do not reflect official policy or position of the United States Air Force, Department of Defense, or US government. The authors report no conflicts of interest.
Approximately 1% to 2% of inpatient stays result in discharges against medical advice (AMA).[1] Though relatively infrequent, AMA discharges warrant attention as they are associated with higher morbidity, increased risk of readmission, and greater 30‐day mortality.[2] A recent study found a 30‐day readmission rate among AMA patients of 24.5%, nearly twice that of matched non‐AMA patients, and a 30‐day mortality rate of 1.3%, also nearly double that of planned discharges.[3] Discharges AMA may be expected to decrease index length of stay, yet accounting for 30‐day readmissions they are estimated to increase costs 56% higher than expected from an initial hospitalization.[4] Patients note several possible reasons for leaving AMA including family emergencies, dissatisfaction with care, financial concerns, or simply feeling better, among others.[5, 6, 7] Risk factors for AMA discharges include previous AMA discharge, having no primary care physician, younger age, lack of insurance, male sex, substance abuse, and lower socioeconomic status.[4, 6, 7, 8]
A number of prior studies have assessed risk factors for AMA discharges, the long‐ and short‐term outcomes, patient reasons for leaving, and physician perceptions of why patients leave AMA.[3, 5, 7, 9] However, there is limited information about opportunities for discharge transition interventions in this potentially more vulnerable population. Because of the increased short‐term and long‐term risks to these patients, treatment and follow‐up plans at the time of discharge may carry even greater importance than follow‐up plans with standard discharges. This study analyzed AMA documentation and what interventions were carried out at the time of discharge.
METHODS
We reviewed the records of all adult patients, ages 18 years and older, admitted to a university‐affiliated tertiary care hospital in Dayton, Ohio (a 520‐bed hospital with approximately 17,000 adult patient encounters per year) over a 2‐year period, and who subsequently left AMA. A hospital database identified 351 adult AMA cases (1.0% of adult admissions). A single reviewer performed an in‐depth review of the 291 patient admissions to the general medical service between January 1, 2009 and December 31, 2010, and manually reviewed and abstracted the data of interest. The Wright State University institutional review board approved the study.
Documentation review focused on the presence of a specified AMA note, the presence of documentation addressing informed consent, patient decision‐making capacity, patient health literacy, follow‐up plans, whether or not medications were prescribed, and whether or not any warning indicators of impending AMA were apparent. These items represented key elements of the discharge policy and procedure in place at our institution during the period of study. We speculated that nurses may be more immediately available at the time of AMA discharge and thus might carry out AMA documentation more often than physicians. To assess this we recorded the role (nurse vs provider) of the writer of AMA notes. We also assessed patient gender, length of stay, prior AMA, 30‐day emergency department (ED) re‐encounters, and 30‐day hospital readmission after AMA discharge.
Informed consent was deemed present if patients signed the hospital's standardized AMA form. Decision‐making capacity was assessed as present if there was specific mention of the patient's capacity on the day of discharge. Any mention of health literacy or the patient's stated understanding of his medical condition at any time during the hospitalization was considered positive documentation of healthcare literacy. Follow‐up plans included any mention of where and when the patient would return. Discharge medications included prescribed medication or indication that no medications were warranted. Warning indicators included specific mention of the patient's desire to leave AMA. For example, patients who left the unit without informing staff were considered to have given no warning of AMA. Alternatively, when documentation was present stating that the patient had verbally expressed a desire to leave AMA, this was considered advanced warning of AMA.
Statistical Analysis
Continuous variables were reported as means and standard deviations. Categorical variables were reported as counts and percents. The independent samples t test was used for comparisons involving 2 groups and a second variable measured on a continuous scale. The 2 test was used to compare 2 categorical variables. Inferences were made at the 0.05 level of significance with no correction for multiple comparisons.
RESULTS
Mean age and gender distribution were similar to those reported in other AMA studies (Table 1).[3] Thirty‐day ED revisit and 30‐day hospital readmission frequencies for medical service patients were 121 (41.6%) and 88 (30.2%), respectively, also similar to those reported in other AMA studies.[3]
| Study Population, Mean SD or Count (%) | Hospital Population, Mean or Count (%) | |
|---|---|---|
| ||
| Age, y | 45.3 15.9 | 62.8 18.2 |
| Sex | ||
| Male | 168 (57.7) | 14,965 (43.6) |
| Female | 123 (42.3) | 19,333 (56.4) |
| Length of stay, d | 2.46 2.82 | 4.72 4.74 |
| 30‐day ED re‐encounter rate | 121 (41.6) | |
| 30‐day hospital readmission rate | 88 (30.2) | 4424 (12.9) |
| Prior AMA discharge | 49 (16.8) | |
Although our intent was to conduct a quantitative assessment of discharge interventions, we found stated reasons for leaving similar to those previously reported. In our study, AMA patients tended to be younger, more likely male, and at increased risk for AMA discharge if they had prior AMA discharges (Table 1). The most common reasons found in the medical record for leaving AMA were caring for sick family members, financial concerns, feeling better, and occasionally dissatisfaction with care, reasons similar to those reported in previous studies.[5, 7, 9, 10]
AMA notes were present in 276 (94.8%) charts. AMA notes were written by physicians in 163 (59.1%) and nurses in 110 (37.8%) encounters. The informed consent form was present in 88 (30.2%) charts, mentioned in the note but not present in the electronic medical record in 111 (38.1%), and not signed in 92 (31.6%) charts. Decision‐making capacity and health literacy were documented in 108 (37.1%) and 75 (25.8%) records, respectively. Warning of impending AMA was present in 217 (74.6%) charts. Medications prescribed and follow‐up plans were only documented in 71 (24.4%) and 91 (31.3%) charts, respectively (Table 2).
| Count (%) | |
|---|---|
| |
| AMA note present | 276 (94.8) |
| Primary AMA note author | |
| Physician | 163 (56) |
| Nurse, without physician note | 110 (37.8) |
| Other (ie, social worker) | 3 (1.0) |
| Warning of impending AMA | 217 (74.6) |
| Informed consent signed | |
| Yes | 88 (30.2) |
| No | 92 (31.6) |
| Absenta | 111 (38.1) |
| Documentation of decision‐making capacity | 108 (37.1) |
| Documentation of health literacy | 75 (25.8) |
| Documentation of follow‐up plan | 91 (31.3) |
| Documentation of medications at discharge | 71 (24.4) |
Patients with documentation of medications given did not have decreased 30‐day ED revisits (33.8% vs 44.3%, P = 0.12) or 30‐day hospital readmission (23.9% vs 32.4%, P = 0.18). Similarly, there was no relationship between documentation of follow‐up plans and 30‐day ED revisits (37.4% vs 43.7%, P = 0.31) or 30‐day hospital readmission (29.7% vs 30.7%, P = 0.87). Finally, there was no relationship between physician versus nurse authorship of AMA notes and 30‐day ED revisits (37.4% vs 46.4%, P = 0.14) or 30‐day hospital readmission (28.2% vs 31.8%, P = 0.52) (Table 3).
| Yes, % | No, % | P Value | |
|---|---|---|---|
| |||
| Documentation of discharge medicationsa | |||
| 30‐day ED revisit | 33.8 | 44.3 | 0.12 |
| 30‐day rehospitalization | 23.9 | 32.4 | 0.18 |
| Documentation of follow‐up | |||
| 30‐day ED revisit | 37.4 | 43.7 | 0.31 |
| 30‐day rehospitalization | 29.7 | 30.7 | 0.87 |
| Physician author of AMA note | |||
| 30‐day ED revisit | 37.4 | 46.4 | 0.14 |
| 30‐day rehospitalization | 28.2 | 31.8 | 0.52 |
| Documentation of medications | 36.2 | 10.0 | 0.001 |
| Documentation of follow‐up plan | 43.6 | 16.4 | 0.001 |
| Warning of AMA | |||
| Documentation of medications | 30.4 | 6.8 | 0.001 |
| Documentation of follow‐up plan | 37.3 | 13.5 | 0.001 |
Physician documentation of the AMA was associated with an increased frequency of discharge medication being prescribed (36.2% vs 10.0%, P 0.001) and with an increased finding of documented follow‐up plans (43.6% vs 16.4%, P 0.001). A documented warning of impending AMA was associated with an increased frequency of discharge medication being prescribed (30.4% vs 6.8%, P 0.001) and increased frequency of follow‐up plans being documented (37.3% vs 13.5%, P 0.001) (Table 3).
DISCUSSION
To gain insights into opportunities for discharge transition interventions in this potentially more vulnerable population,[1, 5] we analyzed AMA documentation and what interventions were carried out at the time of discharge. Our intent was a quantitative assessment of discharge interventions, but we also found stated reasons for leaving AMA that were similar to those previously reported.[5, 6, 10]
We identified several opportunities for improved documentation as well as targeted discharge intervention among AMA patients. Documentation in the charts of AMA patients was often suboptimal. In our study, a physician's AMA note was present only half of the time. Mention of the patient's mental status or health literacy was present in only one‐fourth of cases. Protection from litigation in AMA cases is enhanced when these elements and others, like informed consent, are present in the medical record.[11]
Physician documentation of the AMA was associated with an increased frequency of discharge medication being prescribed and with an increased finding of documented follow‐up plans. This association might be confounded by the fact that physicians can prescribe whereas most nurses cannot. The findings that a documented warning of impending AMA was associated with an increased frequency of discharge medication being prescribed (30.4% vs 6.8%, P 0.001) and increased frequency of follow‐up plans being documented (37.3% vs 13.5%, P 0.001) suggest opportunities for improvement through early inquiry about potential for AMA as well as early responses when patients threaten to leave AMA.
An important focus of our study was on documentation of discharge medications and follow‐up plans. These elements were documented in 31% and 25% of charts, respectively. A warning of impending AMA was present in 74.6% of encounters, yet medications and follow‐up plans were documented at a much lower rate. This represents an area where caregivers have the possibility to intervene, but are not documenting that they are doing so. We found no relationship between the documentation of giving prescriptions and giving explicit follow‐up plans with decreased rates of return to the ED or readmission, but that possibility may still warrant future prospective study.
Our study did not attempt to explain why only a minority of AMA discharges include medication prescription or follow‐up plans, but a number of potential explanations are possible. Some AMA discharges may occur unannounced with a patient simply walking off the ward giving little or no advance notice. It is also possible that provider perceptions and attitudes toward AMA patients may influence potential interventions.[12] An AMA discharge is against the caregiver's preferred advice for the patient, and it may seem illogical to offer patients second‐best advice. Perhaps some providers have the misconception that medications cannot or must not be prescribed for an AMA discharge. However, second‐best therapy may be better than no therapy, and some follow‐up better than no follow‐up plan.
Given the high rates of ED return and 30‐day readmission, the associated increased healthcare costs as well as increased morbidity and mortality associated with AMA dispositions, a continued search for effective intervention strategies and opportunities is warranted. Recently, programs for transition of care/discharge have demonstrated improved outcomes including reduced rates of readmission with standard discharges.[13] At the time of our study, effective programs such as Project BOOST (Better Outcomes for Older adult through Safe Transitions),[14] the Care Transitions Program,[15] and RED (Project Re‐engineered Discharge)[16] were not yet routinely employed, but their common elements may be applicable to the AMA population. In general, these programs focus on elements we investigated (patient understanding, follow‐up plans, medications prescribed) but add a number of additional components. Additional elements include written discharge instructions, patient education, teach‐back process, decision support, emergency plans, caregiver education, telephone follow‐up, and transition coaches to coordinate home and office follow‐up visits. Most potential interventions add significant time (and cost) to the discharge process. Thus, future studies applying these components to AMA discharges should emphasize timely identification of threatened AMA and prioritized interventions. Future studies should focus on which interventions are the most cost‐effective with AMA patients.
Limitations of our study include not being able to access information from area hospitals not in our hospital network, and thus we may not have identified all ED returns and readmissions. Additionally, interventions at the time of discharge (like prescription of medications or provider assessment of decision‐making capacity) may not have been documented and thus not available for our review. Also, our study was a retrospective review at a single institution and included a relatively small population of patients; consequently, our findings may not apply to other healthcare providers in other hospitals or settings. Our study was strengthened by reviewing all consecutive AMA cases over a 2‐year period encompassing a diverse group of healthcare providers.
CONCLUSION
In the majority of cases reviewed, some advance warning of impending AMA is apparent, affording an opportunity for interventions that may improve health outcomes. Despite this advance warning, only a minority of cases result in key interventions such as prescription of medications or development of follow‐up plans. Medical documentation of AMA dispositions is often inadequate, suggesting missed opportunities for potential intervention as well as suboptimal medicolegal scenarios. Future prospective studies examining cost‐effective interventions at the time of AMA discharge and transition of care may provide valuable insight into lowering rates of ED return and rehospitalization.
Disclosures: The views and opinions expressed in this article are those of the author(s) and do not reflect official policy or position of the United States Air Force, Department of Defense, or US government. The authors report no conflicts of interest.
Approximately 1% to 2% of inpatient stays result in discharges against medical advice (AMA).[1] Though relatively infrequent, AMA discharges warrant attention as they are associated with higher morbidity, increased risk of readmission, and greater 30‐day mortality.[2] A recent study found a 30‐day readmission rate among AMA patients of 24.5%, nearly twice that of matched non‐AMA patients, and a 30‐day mortality rate of 1.3%, also nearly double that of planned discharges.[3] Discharges AMA may be expected to decrease index length of stay, yet accounting for 30‐day readmissions they are estimated to increase costs 56% higher than expected from an initial hospitalization.[4] Patients note several possible reasons for leaving AMA including family emergencies, dissatisfaction with care, financial concerns, or simply feeling better, among others.[5, 6, 7] Risk factors for AMA discharges include previous AMA discharge, having no primary care physician, younger age, lack of insurance, male sex, substance abuse, and lower socioeconomic status.[4, 6, 7, 8]
A number of prior studies have assessed risk factors for AMA discharges, the long‐ and short‐term outcomes, patient reasons for leaving, and physician perceptions of why patients leave AMA.[3, 5, 7, 9] However, there is limited information about opportunities for discharge transition interventions in this potentially more vulnerable population. Because of the increased short‐term and long‐term risks to these patients, treatment and follow‐up plans at the time of discharge may carry even greater importance than follow‐up plans with standard discharges. This study analyzed AMA documentation and what interventions were carried out at the time of discharge.
METHODS
We reviewed the records of all adult patients, ages 18 years and older, admitted to a university‐affiliated tertiary care hospital in Dayton, Ohio (a 520‐bed hospital with approximately 17,000 adult patient encounters per year) over a 2‐year period, and who subsequently left AMA. A hospital database identified 351 adult AMA cases (1.0% of adult admissions). A single reviewer performed an in‐depth review of the 291 patient admissions to the general medical service between January 1, 2009 and December 31, 2010, and manually reviewed and abstracted the data of interest. The Wright State University institutional review board approved the study.
Documentation review focused on the presence of a specified AMA note, the presence of documentation addressing informed consent, patient decision‐making capacity, patient health literacy, follow‐up plans, whether or not medications were prescribed, and whether or not any warning indicators of impending AMA were apparent. These items represented key elements of the discharge policy and procedure in place at our institution during the period of study. We speculated that nurses may be more immediately available at the time of AMA discharge and thus might carry out AMA documentation more often than physicians. To assess this we recorded the role (nurse vs provider) of the writer of AMA notes. We also assessed patient gender, length of stay, prior AMA, 30‐day emergency department (ED) re‐encounters, and 30‐day hospital readmission after AMA discharge.
Informed consent was deemed present if patients signed the hospital's standardized AMA form. Decision‐making capacity was assessed as present if there was specific mention of the patient's capacity on the day of discharge. Any mention of health literacy or the patient's stated understanding of his medical condition at any time during the hospitalization was considered positive documentation of healthcare literacy. Follow‐up plans included any mention of where and when the patient would return. Discharge medications included prescribed medication or indication that no medications were warranted. Warning indicators included specific mention of the patient's desire to leave AMA. For example, patients who left the unit without informing staff were considered to have given no warning of AMA. Alternatively, when documentation was present stating that the patient had verbally expressed a desire to leave AMA, this was considered advanced warning of AMA.
Statistical Analysis
Continuous variables were reported as means and standard deviations. Categorical variables were reported as counts and percents. The independent samples t test was used for comparisons involving 2 groups and a second variable measured on a continuous scale. The 2 test was used to compare 2 categorical variables. Inferences were made at the 0.05 level of significance with no correction for multiple comparisons.
RESULTS
Mean age and gender distribution were similar to those reported in other AMA studies (Table 1).[3] Thirty‐day ED revisit and 30‐day hospital readmission frequencies for medical service patients were 121 (41.6%) and 88 (30.2%), respectively, also similar to those reported in other AMA studies.[3]
| Study Population, Mean SD or Count (%) | Hospital Population, Mean or Count (%) | |
|---|---|---|
| ||
| Age, y | 45.3 15.9 | 62.8 18.2 |
| Sex | ||
| Male | 168 (57.7) | 14,965 (43.6) |
| Female | 123 (42.3) | 19,333 (56.4) |
| Length of stay, d | 2.46 2.82 | 4.72 4.74 |
| 30‐day ED re‐encounter rate | 121 (41.6) | |
| 30‐day hospital readmission rate | 88 (30.2) | 4424 (12.9) |
| Prior AMA discharge | 49 (16.8) | |
Although our intent was to conduct a quantitative assessment of discharge interventions, we found stated reasons for leaving similar to those previously reported. In our study, AMA patients tended to be younger, more likely male, and at increased risk for AMA discharge if they had prior AMA discharges (Table 1). The most common reasons found in the medical record for leaving AMA were caring for sick family members, financial concerns, feeling better, and occasionally dissatisfaction with care, reasons similar to those reported in previous studies.[5, 7, 9, 10]
AMA notes were present in 276 (94.8%) charts. AMA notes were written by physicians in 163 (59.1%) and nurses in 110 (37.8%) encounters. The informed consent form was present in 88 (30.2%) charts, mentioned in the note but not present in the electronic medical record in 111 (38.1%), and not signed in 92 (31.6%) charts. Decision‐making capacity and health literacy were documented in 108 (37.1%) and 75 (25.8%) records, respectively. Warning of impending AMA was present in 217 (74.6%) charts. Medications prescribed and follow‐up plans were only documented in 71 (24.4%) and 91 (31.3%) charts, respectively (Table 2).
| Count (%) | |
|---|---|
| |
| AMA note present | 276 (94.8) |
| Primary AMA note author | |
| Physician | 163 (56) |
| Nurse, without physician note | 110 (37.8) |
| Other (ie, social worker) | 3 (1.0) |
| Warning of impending AMA | 217 (74.6) |
| Informed consent signed | |
| Yes | 88 (30.2) |
| No | 92 (31.6) |
| Absenta | 111 (38.1) |
| Documentation of decision‐making capacity | 108 (37.1) |
| Documentation of health literacy | 75 (25.8) |
| Documentation of follow‐up plan | 91 (31.3) |
| Documentation of medications at discharge | 71 (24.4) |
Patients with documentation of medications given did not have decreased 30‐day ED revisits (33.8% vs 44.3%, P = 0.12) or 30‐day hospital readmission (23.9% vs 32.4%, P = 0.18). Similarly, there was no relationship between documentation of follow‐up plans and 30‐day ED revisits (37.4% vs 43.7%, P = 0.31) or 30‐day hospital readmission (29.7% vs 30.7%, P = 0.87). Finally, there was no relationship between physician versus nurse authorship of AMA notes and 30‐day ED revisits (37.4% vs 46.4%, P = 0.14) or 30‐day hospital readmission (28.2% vs 31.8%, P = 0.52) (Table 3).
| Yes, % | No, % | P Value | |
|---|---|---|---|
| |||
| Documentation of discharge medicationsa | |||
| 30‐day ED revisit | 33.8 | 44.3 | 0.12 |
| 30‐day rehospitalization | 23.9 | 32.4 | 0.18 |
| Documentation of follow‐up | |||
| 30‐day ED revisit | 37.4 | 43.7 | 0.31 |
| 30‐day rehospitalization | 29.7 | 30.7 | 0.87 |
| Physician author of AMA note | |||
| 30‐day ED revisit | 37.4 | 46.4 | 0.14 |
| 30‐day rehospitalization | 28.2 | 31.8 | 0.52 |
| Documentation of medications | 36.2 | 10.0 | 0.001 |
| Documentation of follow‐up plan | 43.6 | 16.4 | 0.001 |
| Warning of AMA | |||
| Documentation of medications | 30.4 | 6.8 | 0.001 |
| Documentation of follow‐up plan | 37.3 | 13.5 | 0.001 |
Physician documentation of the AMA was associated with an increased frequency of discharge medication being prescribed (36.2% vs 10.0%, P 0.001) and with an increased finding of documented follow‐up plans (43.6% vs 16.4%, P 0.001). A documented warning of impending AMA was associated with an increased frequency of discharge medication being prescribed (30.4% vs 6.8%, P 0.001) and increased frequency of follow‐up plans being documented (37.3% vs 13.5%, P 0.001) (Table 3).
DISCUSSION
To gain insights into opportunities for discharge transition interventions in this potentially more vulnerable population,[1, 5] we analyzed AMA documentation and what interventions were carried out at the time of discharge. Our intent was a quantitative assessment of discharge interventions, but we also found stated reasons for leaving AMA that were similar to those previously reported.[5, 6, 10]
We identified several opportunities for improved documentation as well as targeted discharge intervention among AMA patients. Documentation in the charts of AMA patients was often suboptimal. In our study, a physician's AMA note was present only half of the time. Mention of the patient's mental status or health literacy was present in only one‐fourth of cases. Protection from litigation in AMA cases is enhanced when these elements and others, like informed consent, are present in the medical record.[11]
Physician documentation of the AMA was associated with an increased frequency of discharge medication being prescribed and with an increased finding of documented follow‐up plans. This association might be confounded by the fact that physicians can prescribe whereas most nurses cannot. The findings that a documented warning of impending AMA was associated with an increased frequency of discharge medication being prescribed (30.4% vs 6.8%, P 0.001) and increased frequency of follow‐up plans being documented (37.3% vs 13.5%, P 0.001) suggest opportunities for improvement through early inquiry about potential for AMA as well as early responses when patients threaten to leave AMA.
An important focus of our study was on documentation of discharge medications and follow‐up plans. These elements were documented in 31% and 25% of charts, respectively. A warning of impending AMA was present in 74.6% of encounters, yet medications and follow‐up plans were documented at a much lower rate. This represents an area where caregivers have the possibility to intervene, but are not documenting that they are doing so. We found no relationship between the documentation of giving prescriptions and giving explicit follow‐up plans with decreased rates of return to the ED or readmission, but that possibility may still warrant future prospective study.
Our study did not attempt to explain why only a minority of AMA discharges include medication prescription or follow‐up plans, but a number of potential explanations are possible. Some AMA discharges may occur unannounced with a patient simply walking off the ward giving little or no advance notice. It is also possible that provider perceptions and attitudes toward AMA patients may influence potential interventions.[12] An AMA discharge is against the caregiver's preferred advice for the patient, and it may seem illogical to offer patients second‐best advice. Perhaps some providers have the misconception that medications cannot or must not be prescribed for an AMA discharge. However, second‐best therapy may be better than no therapy, and some follow‐up better than no follow‐up plan.
Given the high rates of ED return and 30‐day readmission, the associated increased healthcare costs as well as increased morbidity and mortality associated with AMA dispositions, a continued search for effective intervention strategies and opportunities is warranted. Recently, programs for transition of care/discharge have demonstrated improved outcomes including reduced rates of readmission with standard discharges.[13] At the time of our study, effective programs such as Project BOOST (Better Outcomes for Older adult through Safe Transitions),[14] the Care Transitions Program,[15] and RED (Project Re‐engineered Discharge)[16] were not yet routinely employed, but their common elements may be applicable to the AMA population. In general, these programs focus on elements we investigated (patient understanding, follow‐up plans, medications prescribed) but add a number of additional components. Additional elements include written discharge instructions, patient education, teach‐back process, decision support, emergency plans, caregiver education, telephone follow‐up, and transition coaches to coordinate home and office follow‐up visits. Most potential interventions add significant time (and cost) to the discharge process. Thus, future studies applying these components to AMA discharges should emphasize timely identification of threatened AMA and prioritized interventions. Future studies should focus on which interventions are the most cost‐effective with AMA patients.
Limitations of our study include not being able to access information from area hospitals not in our hospital network, and thus we may not have identified all ED returns and readmissions. Additionally, interventions at the time of discharge (like prescription of medications or provider assessment of decision‐making capacity) may not have been documented and thus not available for our review. Also, our study was a retrospective review at a single institution and included a relatively small population of patients; consequently, our findings may not apply to other healthcare providers in other hospitals or settings. Our study was strengthened by reviewing all consecutive AMA cases over a 2‐year period encompassing a diverse group of healthcare providers.
CONCLUSION
In the majority of cases reviewed, some advance warning of impending AMA is apparent, affording an opportunity for interventions that may improve health outcomes. Despite this advance warning, only a minority of cases result in key interventions such as prescription of medications or development of follow‐up plans. Medical documentation of AMA dispositions is often inadequate, suggesting missed opportunities for potential intervention as well as suboptimal medicolegal scenarios. Future prospective studies examining cost‐effective interventions at the time of AMA discharge and transition of care may provide valuable insight into lowering rates of ED return and rehospitalization.
Disclosures: The views and opinions expressed in this article are those of the author(s) and do not reflect official policy or position of the United States Air Force, Department of Defense, or US government. The authors report no conflicts of interest.
Postdischarge Clinics
Transitions of care, which encompass the patient experience of hospital discharge to the community, are frequently associated with clinically and financially costly adverse events.[1, 2] One important element for reducing the risk of postdischarge adverse events is provision of timely follow‐up by a clinician familiar with the patient and hospital course.[3, 4]
However, achieving this ideal is becoming more difficult because of an increased demand for primary care services (due to expanding coverage of Medicare and Medicaid) and the decreased supply of primary care physicians.[5, 6] When a timely visit with a clinician is available postdischarge, the widening discontinuity between inpatient and outpatient care providers often means this clinician is lacking essential details of the hospitalization.[7, 8]
One increasingly common innovation to improve postdischarge care access and continuity is to extend the role of inpatient providers (usually hospitalists) to provide care after discharge in a postdischarge clinic (PDC).[9, 10, 11] These clinics require an expansion of a hospitalist's duties to the outpatient setting, a requirement that has met with hospitalist resistance in initial reports.[12] However, little is known about hospitalists' experience with PDCs or attitudes toward postdischarge care. We aimed to explore these attitudes and experiences surrounding postdischarge care and PDCs.
METHODS
We conducted a cross‐sectional 17‐question Web‐based survey of hospitalists at 20 academic and 17 VA medical centers across the United States. Hospital medicine faculty at each site were identified by their group leader; members of each group then received an email survey up to 3 times. To collect responses from nonacademic hospitalists, the survey was also distributed to a large national private hospitalist employer. Due to internal limitations at the employer site, sampling was not feasible, and thus a convenience sample was obtained. Hospitalists who were not clinically active or did not have computer access to complete the survey were excluded. Responses were initially gathered on a 4‐point Likert scale; for comparisons between groups the scale was collapsed to a binary comparison using Fisher exact or 2 tests. We included questions answered in partially completed surveys in both the numerator and denominator; questions not answered were excluded from both numerator and denominator. The denominator of all responses was noted. All analyses were conducted using SAS 9.3 (SAS Institute, Inc., Cary, NC). The study was approved by the Colorado Multiple Institutional Review Board.
RESULTS
Of 814 hospitalists, 228 responded to the survey (28.3%). Table 1 illustrates characteristics of responding hospitalists, who were divided between university hospitals, community teaching hospitals, and community nonteaching hospitals in diverse practices in terms of location and group size.
| Characteristic | Respondents, No. (%) |
|---|---|
| |
| Employing institution | |
| University hospital | 79 (37.4) |
| Community, nonteaching | 62 (29.4) |
| Community, teaching | 70 (33.2) |
| Care environment | |
| Hospitalist providers | 98 (46.4) |
| Housestaff providers | 94 (44.6) |
| Primary care providers | 10 (4.7) |
| Combination | 9 (4.3) |
| Hospitalist group size (number of hospitalists) | |
| 15 | 39 (18.5) |
| 610 | 50 (23.7) |
| 1120 | 52 (24.6) |
| 2150 | 59 (28.0) |
| >50 | 9 (4.3) |
| Hospital locationpopulation | |
| Rural | 20 (9.5) |
| Suburban | 47 (22.3) |
| Urban | 144 (68.2) |
| Hospital locationgeographic | |
| West Coast | 11 (5.2) |
| Midwest | 47 (22.3) |
| Southern | 57 (27.1) |
| East Coast | 21 (10) |
| Southwest | 36 (17.1) |
| Mountain | 32 (15.2) |
Sixty‐one percent of responding hospitalists believed most patient problems after discharge were due to poor follow‐up with primary care providers, and 55% found it difficult to arrange timely primary care follow up (Table 2). Despite this, 87% thought patient problems after discharge should be cared for by primary care physicians, and 62% opposed the idea of hospitalists seeing patients in the clinic after discharge.
| Agree, No. (%) | Disagree, No. (%) | |
|---|---|---|
| ||
| Hospitalists should see patients in clinic after discharge | 87 (38.2) | 141 (61.8) |
| Primary care responsible for problems after discharge | 198 (86.8) | 30 (13.2) |
| Hospitalists responsible for patients after discharge | 113 (49.6) | 115 (50.4) |
| Would welcome a PDC if employer required | 113 (49.6) | 115 (50.4) |
| Would require extra compensation to work in a PDC | 175 (76.8) | 53 (23.2) |
| Believe a PDC would reduce ED visits after discharge | 168 (73.7) | 60 (26.3) |
| Would discharge patients earlier if could see after discharge | 116 (50.9) | 112 (49.1) |
| Most postdischarge problems due to poor PCP access | 138 (60.5) | 90 (39.5) |
| Easy to arrange timely follow‐up with patient's PCP | 100 (44.2) | 126 (55.3) |
When asked if hospitalists were responsible for patients after discharge from the hospital, only 50% responded positively. However, when asked how long hospitalists were responsible for patients after discharge, 71% gave a response longer than hospital discharge, including 60% who believed this responsibility ended at 1 week or less following discharge. A minority (12%) felt it extended to 1 month following discharge (Table 3).
| Respondents, No. (%) | |
|---|---|
| |
| Length of time inpatient providers responsible after discharge | |
| Responsibility ends at time of discharge | 65 (28.5) |
| 13 days | 40 (17.5) |
| 47 days | 57 (25.0) |
| 2 weeks | 41 (18.0) |
| 4 weeks | 20 (8.8) |
| 3 months | 3 (1.3) |
| 3 months | 2 (0.9) |
| Postdischarge clinic present | 20 (8.8) |
| Considered starting a postdischarge clinica | 62 (30.5) |
| Starting in next yearb | 6 (3.3) |
| Are satisfied with experience in postdischarge clinicc | 17 (85) |
| Think patients are satisfied/highly satisfiedc | 14 (70) |
Responding hospitalists expressed confidence in a PDC to reduce postdischarge emergency department visits (74%). However, most felt they would require extra compensation to staff a PDC (77%). They were divided on whether they would discharge patients from the hospital earlier if they could see those patients in postdischarge follow‐up (51% would discharge patients earlier).
Compared to those who had not experienced a PDC, responding hospitalists who had provided care in a PDC trended toward responding more positively that hospitalists should provide postdischarge care (P = 0.054). Few responding hospitalists had such exposure (8.8%) at the time of the survey. Although 31% had considering starting a PDC, only 3% were starting in the next year. Of responding hospitalists with exposure to a PDC, 70% were satisfied with the experience and 85% felt their patients were satisfied. Responses did not vary by type of practice (academic vs nonacademic), group size, geographic location, or by exposure to a PDC except as above.
DISCUSSION
Responding hospitalists reported encountering significant difficulty arranging appropriate postdischarge appointments with primary care providers and feel this contributes to postdischarge complications. Nearly 75% of those surveyed felt a hospitalist‐run PDC would be effective in reducing postdischarge emergency department visits, presumably in part due to improved access to postdischarge care. However, 62% of responding hospitalists opposed providing this type of care, though those who had experienced a PDC were somewhat more likely to view providing care in a PDC favorably. Survey responses largely reflect attitudes rather than experience with PDCs, because very few respondents had ever worked in a PDC.
The juxtaposition of the confidence expressed in PDCs to reduce postdischarge emergency department visits with the less enthusiastic views of respondents about providing care in a PDC was surprising. Several explanations are possible. First, providing such care is outside the usual scope of practice of most hospitalists, and preliminary reports indicate hospitalists, as self‐selected inpatient providers, may not initially welcome this opportunity.[12] Second, responding hospitalists identified the need for extra compensation for providing this care, suggesting they would see staffing a PDC as a burden requiring extra payment. Third, only 12% of respondents felt their responsibility to their discharged patients extended to 1 month following discharge. Given this, hospitalists may not feel enough personal ownership over 30‐day readmission rates to justify the additional clinical demand of staffing a PDC.[13]
In fact, 29% of responding hospitalists felt their responsibility to the patient ended at the time of discharge. Respondents may have interpreted responsibility differently, and we cannot rule out response bias given our lower‐than‐expected response rate. However, we had anticipated many fewer hospitalists would respond this way given professional hospitalist societies have endorsed guidelines for improved transitions of care, which clearly delineate the key role hospitalists play in care transitions.[14]
Although fewer than 10% of respondents had worked in a PDC, nearly one‐third reported considering starting such a practice in the future, underscoring the importance of understanding hospitalist attitudes and experiences when creating a PDC and the significant barriers to arranging appropriate postdischarge care identified by survey respondents. The barriers to establishing a PDC may explain why few planned to start a PDC in the next year.
This study should be interpreted in the context of its design. Due to limitations in survey delivery, more rigorous sampling designs could not be used, and efforts were instead made to deliver the survey to a diverse group of hospitalists. The survey response rate was lower than anticipated and this increases the risk of response bias. Though this response rate is characteristic of other surveys of hospitalists, responses may have been from a selected population and therefore not representative of all hospitalists.[15] We sampled from a variety of practice venues, locations, academic and community practices, and practice group sizes to try to minimize this bias. Due to the low exposure rate to PDCs, hospitalist responses to experiences with PDCs should be considered exploratory.
We asked about similar content areas in the survey in multiple questions to maximize content validity; this resulted in variations in the degree of agreement or disagreement to similar prompts. For example, 62% of hospitalists opposed seeing patients in the clinic after discharge when directly asked, but nearly 50% said they would welcome the opportunity to work in a PDC if their employer required it. In another example, 50% of respondents said their responsibility for the patient ended at time of discharge, but when asked about duration of responsibility, 30% identified time of discharge as the limit. When reporting and interpreting results, we have tried to highlight responses to questions that ask most clearly and directly about the content of interest (rather than general themes), but this interpretation may also be subject to bias.
The time after hospital discharge is one of heightened risk for adverse events for the recently discharged patient. Hospitalist‐run postdischarge clinics may offer improved postdischarge care access and continuity; more research is needed on the effects of such clinics on patient outcomes, including postdischarge utilization. Until then, physicians and hospitals considering establishing PDCs should consider the barriers responding hospitalists identified to working in such a clinic, as well as the confidence they expressed in PDCs to reduce subsequent utilization.
Disclosures: Dr. Burke had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. The views expressed in this article are those of the authors and do not necessarily represent the views of the Department of Veterans Affairs. Dr. Burke was supported by grant funding from the Colorado Research Enhancement Award Program to Improve Care Coordination for Veterans. Dr. Ryan has no conflicts of interest to disclose.
- , , , , . The incidence and severity of adverse events affecting patients after discharge from the hospital. Ann Intern Med. 2003;138(3):161–167.
- , , . Rehospitalizations among patients in the Medicare fee‐for‐service program. N Engl J Med. 2009;360(14):1418–1428.
- , , , et al. Relationship between early physician follow‐up and 30‐day readmission among Medicare beneficiaries hospitalized for heart failure. JAMA. 2010;303(17):1716–1722.
- , , . Post‐hospitalization transitions: Examining the effects of timing of primary care provider follow‐up. J Hosp Med. 2010;5(7):392–397.
- , , . Will generalist physician supply meet demands of an increasing and aging population? Health Aff (Millwood). 2008;27(3):w232–w241.
- Association of American Medical Colleges. June 2010.The impact of health care reform on the future supply and demand for physicians updated projections through 2025. Available at: http://www.aamc.org/download/158076/data/updated_projections_through_2025.pdf. Accessed May 1, 2012.
- , , , , , . Continuity of outpatient and inpatient care by primary care physicians for hospitalized older adults. JAMA. 2009;301(16):1671–1680.
- , , , , . Trends in inpatient continuity of care for a cohort of Medicare patients 1996–2006. J Hosp Med. 2011;6(8):438–444.
- . Is a post‐discharge clinic in your hospital's future? The Hospitalist. December 2011 Available at: http://www.the‐hospitalist.org/details/article/1409011/Is_a_Post_Discharge_Clinic_in_Your_Hospitals_future.html. Accessed May 1, 2013.
- , , , . Continuity of care and patient outcomes after hospital discharge. J Gen Intern Med. 2004;19(6):624–631.
- , , , . Effects of a postdischarge clinic on housestaff satisfaction and utilization of hospital services. J Gen Intern Med. 1996;11(3):179–181.
- . Interval examination: establishment of a hospitalist‐staffed discharge clinic. J Gen Intern Med. 2012;27(10):1377–1382.
- Patient Protection and Affordable Care Act (PPACA).Public Law 111–148 2010. Available at: http://www.gpo.gov/fdsys/pkg/PLAW‐111publ148/pdf/PLAW‐111publ148.pdf. Accessed January 10, 2013.
- , , , et al. Transitions of Care Consensus policy statement: American College of Physicians, Society of General Internal Medicine, Society of Hospital Medicine, American Geriatrics Society, American College of Emergency Physicians, and Society for Academic Emergency Medicine. J Hosp Med. 2009;4(6):364–370.
- , , , , . Person‐job fit: an exploratory cross‐sectional analysis of hospitalists. J Hosp Med. 2013;8(2):96–101.
Transitions of care, which encompass the patient experience of hospital discharge to the community, are frequently associated with clinically and financially costly adverse events.[1, 2] One important element for reducing the risk of postdischarge adverse events is provision of timely follow‐up by a clinician familiar with the patient and hospital course.[3, 4]
However, achieving this ideal is becoming more difficult because of an increased demand for primary care services (due to expanding coverage of Medicare and Medicaid) and the decreased supply of primary care physicians.[5, 6] When a timely visit with a clinician is available postdischarge, the widening discontinuity between inpatient and outpatient care providers often means this clinician is lacking essential details of the hospitalization.[7, 8]
One increasingly common innovation to improve postdischarge care access and continuity is to extend the role of inpatient providers (usually hospitalists) to provide care after discharge in a postdischarge clinic (PDC).[9, 10, 11] These clinics require an expansion of a hospitalist's duties to the outpatient setting, a requirement that has met with hospitalist resistance in initial reports.[12] However, little is known about hospitalists' experience with PDCs or attitudes toward postdischarge care. We aimed to explore these attitudes and experiences surrounding postdischarge care and PDCs.
METHODS
We conducted a cross‐sectional 17‐question Web‐based survey of hospitalists at 20 academic and 17 VA medical centers across the United States. Hospital medicine faculty at each site were identified by their group leader; members of each group then received an email survey up to 3 times. To collect responses from nonacademic hospitalists, the survey was also distributed to a large national private hospitalist employer. Due to internal limitations at the employer site, sampling was not feasible, and thus a convenience sample was obtained. Hospitalists who were not clinically active or did not have computer access to complete the survey were excluded. Responses were initially gathered on a 4‐point Likert scale; for comparisons between groups the scale was collapsed to a binary comparison using Fisher exact or 2 tests. We included questions answered in partially completed surveys in both the numerator and denominator; questions not answered were excluded from both numerator and denominator. The denominator of all responses was noted. All analyses were conducted using SAS 9.3 (SAS Institute, Inc., Cary, NC). The study was approved by the Colorado Multiple Institutional Review Board.
RESULTS
Of 814 hospitalists, 228 responded to the survey (28.3%). Table 1 illustrates characteristics of responding hospitalists, who were divided between university hospitals, community teaching hospitals, and community nonteaching hospitals in diverse practices in terms of location and group size.
| Characteristic | Respondents, No. (%) |
|---|---|
| |
| Employing institution | |
| University hospital | 79 (37.4) |
| Community, nonteaching | 62 (29.4) |
| Community, teaching | 70 (33.2) |
| Care environment | |
| Hospitalist providers | 98 (46.4) |
| Housestaff providers | 94 (44.6) |
| Primary care providers | 10 (4.7) |
| Combination | 9 (4.3) |
| Hospitalist group size (number of hospitalists) | |
| 15 | 39 (18.5) |
| 610 | 50 (23.7) |
| 1120 | 52 (24.6) |
| 2150 | 59 (28.0) |
| >50 | 9 (4.3) |
| Hospital locationpopulation | |
| Rural | 20 (9.5) |
| Suburban | 47 (22.3) |
| Urban | 144 (68.2) |
| Hospital locationgeographic | |
| West Coast | 11 (5.2) |
| Midwest | 47 (22.3) |
| Southern | 57 (27.1) |
| East Coast | 21 (10) |
| Southwest | 36 (17.1) |
| Mountain | 32 (15.2) |
Sixty‐one percent of responding hospitalists believed most patient problems after discharge were due to poor follow‐up with primary care providers, and 55% found it difficult to arrange timely primary care follow up (Table 2). Despite this, 87% thought patient problems after discharge should be cared for by primary care physicians, and 62% opposed the idea of hospitalists seeing patients in the clinic after discharge.
| Agree, No. (%) | Disagree, No. (%) | |
|---|---|---|
| ||
| Hospitalists should see patients in clinic after discharge | 87 (38.2) | 141 (61.8) |
| Primary care responsible for problems after discharge | 198 (86.8) | 30 (13.2) |
| Hospitalists responsible for patients after discharge | 113 (49.6) | 115 (50.4) |
| Would welcome a PDC if employer required | 113 (49.6) | 115 (50.4) |
| Would require extra compensation to work in a PDC | 175 (76.8) | 53 (23.2) |
| Believe a PDC would reduce ED visits after discharge | 168 (73.7) | 60 (26.3) |
| Would discharge patients earlier if could see after discharge | 116 (50.9) | 112 (49.1) |
| Most postdischarge problems due to poor PCP access | 138 (60.5) | 90 (39.5) |
| Easy to arrange timely follow‐up with patient's PCP | 100 (44.2) | 126 (55.3) |
When asked if hospitalists were responsible for patients after discharge from the hospital, only 50% responded positively. However, when asked how long hospitalists were responsible for patients after discharge, 71% gave a response longer than hospital discharge, including 60% who believed this responsibility ended at 1 week or less following discharge. A minority (12%) felt it extended to 1 month following discharge (Table 3).
| Respondents, No. (%) | |
|---|---|
| |
| Length of time inpatient providers responsible after discharge | |
| Responsibility ends at time of discharge | 65 (28.5) |
| 13 days | 40 (17.5) |
| 47 days | 57 (25.0) |
| 2 weeks | 41 (18.0) |
| 4 weeks | 20 (8.8) |
| 3 months | 3 (1.3) |
| 3 months | 2 (0.9) |
| Postdischarge clinic present | 20 (8.8) |
| Considered starting a postdischarge clinica | 62 (30.5) |
| Starting in next yearb | 6 (3.3) |
| Are satisfied with experience in postdischarge clinicc | 17 (85) |
| Think patients are satisfied/highly satisfiedc | 14 (70) |
Responding hospitalists expressed confidence in a PDC to reduce postdischarge emergency department visits (74%). However, most felt they would require extra compensation to staff a PDC (77%). They were divided on whether they would discharge patients from the hospital earlier if they could see those patients in postdischarge follow‐up (51% would discharge patients earlier).
Compared to those who had not experienced a PDC, responding hospitalists who had provided care in a PDC trended toward responding more positively that hospitalists should provide postdischarge care (P = 0.054). Few responding hospitalists had such exposure (8.8%) at the time of the survey. Although 31% had considering starting a PDC, only 3% were starting in the next year. Of responding hospitalists with exposure to a PDC, 70% were satisfied with the experience and 85% felt their patients were satisfied. Responses did not vary by type of practice (academic vs nonacademic), group size, geographic location, or by exposure to a PDC except as above.
DISCUSSION
Responding hospitalists reported encountering significant difficulty arranging appropriate postdischarge appointments with primary care providers and feel this contributes to postdischarge complications. Nearly 75% of those surveyed felt a hospitalist‐run PDC would be effective in reducing postdischarge emergency department visits, presumably in part due to improved access to postdischarge care. However, 62% of responding hospitalists opposed providing this type of care, though those who had experienced a PDC were somewhat more likely to view providing care in a PDC favorably. Survey responses largely reflect attitudes rather than experience with PDCs, because very few respondents had ever worked in a PDC.
The juxtaposition of the confidence expressed in PDCs to reduce postdischarge emergency department visits with the less enthusiastic views of respondents about providing care in a PDC was surprising. Several explanations are possible. First, providing such care is outside the usual scope of practice of most hospitalists, and preliminary reports indicate hospitalists, as self‐selected inpatient providers, may not initially welcome this opportunity.[12] Second, responding hospitalists identified the need for extra compensation for providing this care, suggesting they would see staffing a PDC as a burden requiring extra payment. Third, only 12% of respondents felt their responsibility to their discharged patients extended to 1 month following discharge. Given this, hospitalists may not feel enough personal ownership over 30‐day readmission rates to justify the additional clinical demand of staffing a PDC.[13]
In fact, 29% of responding hospitalists felt their responsibility to the patient ended at the time of discharge. Respondents may have interpreted responsibility differently, and we cannot rule out response bias given our lower‐than‐expected response rate. However, we had anticipated many fewer hospitalists would respond this way given professional hospitalist societies have endorsed guidelines for improved transitions of care, which clearly delineate the key role hospitalists play in care transitions.[14]
Although fewer than 10% of respondents had worked in a PDC, nearly one‐third reported considering starting such a practice in the future, underscoring the importance of understanding hospitalist attitudes and experiences when creating a PDC and the significant barriers to arranging appropriate postdischarge care identified by survey respondents. The barriers to establishing a PDC may explain why few planned to start a PDC in the next year.
This study should be interpreted in the context of its design. Due to limitations in survey delivery, more rigorous sampling designs could not be used, and efforts were instead made to deliver the survey to a diverse group of hospitalists. The survey response rate was lower than anticipated and this increases the risk of response bias. Though this response rate is characteristic of other surveys of hospitalists, responses may have been from a selected population and therefore not representative of all hospitalists.[15] We sampled from a variety of practice venues, locations, academic and community practices, and practice group sizes to try to minimize this bias. Due to the low exposure rate to PDCs, hospitalist responses to experiences with PDCs should be considered exploratory.
We asked about similar content areas in the survey in multiple questions to maximize content validity; this resulted in variations in the degree of agreement or disagreement to similar prompts. For example, 62% of hospitalists opposed seeing patients in the clinic after discharge when directly asked, but nearly 50% said they would welcome the opportunity to work in a PDC if their employer required it. In another example, 50% of respondents said their responsibility for the patient ended at time of discharge, but when asked about duration of responsibility, 30% identified time of discharge as the limit. When reporting and interpreting results, we have tried to highlight responses to questions that ask most clearly and directly about the content of interest (rather than general themes), but this interpretation may also be subject to bias.
The time after hospital discharge is one of heightened risk for adverse events for the recently discharged patient. Hospitalist‐run postdischarge clinics may offer improved postdischarge care access and continuity; more research is needed on the effects of such clinics on patient outcomes, including postdischarge utilization. Until then, physicians and hospitals considering establishing PDCs should consider the barriers responding hospitalists identified to working in such a clinic, as well as the confidence they expressed in PDCs to reduce subsequent utilization.
Disclosures: Dr. Burke had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. The views expressed in this article are those of the authors and do not necessarily represent the views of the Department of Veterans Affairs. Dr. Burke was supported by grant funding from the Colorado Research Enhancement Award Program to Improve Care Coordination for Veterans. Dr. Ryan has no conflicts of interest to disclose.
Transitions of care, which encompass the patient experience of hospital discharge to the community, are frequently associated with clinically and financially costly adverse events.[1, 2] One important element for reducing the risk of postdischarge adverse events is provision of timely follow‐up by a clinician familiar with the patient and hospital course.[3, 4]
However, achieving this ideal is becoming more difficult because of an increased demand for primary care services (due to expanding coverage of Medicare and Medicaid) and the decreased supply of primary care physicians.[5, 6] When a timely visit with a clinician is available postdischarge, the widening discontinuity between inpatient and outpatient care providers often means this clinician is lacking essential details of the hospitalization.[7, 8]
One increasingly common innovation to improve postdischarge care access and continuity is to extend the role of inpatient providers (usually hospitalists) to provide care after discharge in a postdischarge clinic (PDC).[9, 10, 11] These clinics require an expansion of a hospitalist's duties to the outpatient setting, a requirement that has met with hospitalist resistance in initial reports.[12] However, little is known about hospitalists' experience with PDCs or attitudes toward postdischarge care. We aimed to explore these attitudes and experiences surrounding postdischarge care and PDCs.
METHODS
We conducted a cross‐sectional 17‐question Web‐based survey of hospitalists at 20 academic and 17 VA medical centers across the United States. Hospital medicine faculty at each site were identified by their group leader; members of each group then received an email survey up to 3 times. To collect responses from nonacademic hospitalists, the survey was also distributed to a large national private hospitalist employer. Due to internal limitations at the employer site, sampling was not feasible, and thus a convenience sample was obtained. Hospitalists who were not clinically active or did not have computer access to complete the survey were excluded. Responses were initially gathered on a 4‐point Likert scale; for comparisons between groups the scale was collapsed to a binary comparison using Fisher exact or 2 tests. We included questions answered in partially completed surveys in both the numerator and denominator; questions not answered were excluded from both numerator and denominator. The denominator of all responses was noted. All analyses were conducted using SAS 9.3 (SAS Institute, Inc., Cary, NC). The study was approved by the Colorado Multiple Institutional Review Board.
RESULTS
Of 814 hospitalists, 228 responded to the survey (28.3%). Table 1 illustrates characteristics of responding hospitalists, who were divided between university hospitals, community teaching hospitals, and community nonteaching hospitals in diverse practices in terms of location and group size.
| Characteristic | Respondents, No. (%) |
|---|---|
| |
| Employing institution | |
| University hospital | 79 (37.4) |
| Community, nonteaching | 62 (29.4) |
| Community, teaching | 70 (33.2) |
| Care environment | |
| Hospitalist providers | 98 (46.4) |
| Housestaff providers | 94 (44.6) |
| Primary care providers | 10 (4.7) |
| Combination | 9 (4.3) |
| Hospitalist group size (number of hospitalists) | |
| 15 | 39 (18.5) |
| 610 | 50 (23.7) |
| 1120 | 52 (24.6) |
| 2150 | 59 (28.0) |
| >50 | 9 (4.3) |
| Hospital locationpopulation | |
| Rural | 20 (9.5) |
| Suburban | 47 (22.3) |
| Urban | 144 (68.2) |
| Hospital locationgeographic | |
| West Coast | 11 (5.2) |
| Midwest | 47 (22.3) |
| Southern | 57 (27.1) |
| East Coast | 21 (10) |
| Southwest | 36 (17.1) |
| Mountain | 32 (15.2) |
Sixty‐one percent of responding hospitalists believed most patient problems after discharge were due to poor follow‐up with primary care providers, and 55% found it difficult to arrange timely primary care follow up (Table 2). Despite this, 87% thought patient problems after discharge should be cared for by primary care physicians, and 62% opposed the idea of hospitalists seeing patients in the clinic after discharge.
| Agree, No. (%) | Disagree, No. (%) | |
|---|---|---|
| ||
| Hospitalists should see patients in clinic after discharge | 87 (38.2) | 141 (61.8) |
| Primary care responsible for problems after discharge | 198 (86.8) | 30 (13.2) |
| Hospitalists responsible for patients after discharge | 113 (49.6) | 115 (50.4) |
| Would welcome a PDC if employer required | 113 (49.6) | 115 (50.4) |
| Would require extra compensation to work in a PDC | 175 (76.8) | 53 (23.2) |
| Believe a PDC would reduce ED visits after discharge | 168 (73.7) | 60 (26.3) |
| Would discharge patients earlier if could see after discharge | 116 (50.9) | 112 (49.1) |
| Most postdischarge problems due to poor PCP access | 138 (60.5) | 90 (39.5) |
| Easy to arrange timely follow‐up with patient's PCP | 100 (44.2) | 126 (55.3) |
When asked if hospitalists were responsible for patients after discharge from the hospital, only 50% responded positively. However, when asked how long hospitalists were responsible for patients after discharge, 71% gave a response longer than hospital discharge, including 60% who believed this responsibility ended at 1 week or less following discharge. A minority (12%) felt it extended to 1 month following discharge (Table 3).
| Respondents, No. (%) | |
|---|---|
| |
| Length of time inpatient providers responsible after discharge | |
| Responsibility ends at time of discharge | 65 (28.5) |
| 13 days | 40 (17.5) |
| 47 days | 57 (25.0) |
| 2 weeks | 41 (18.0) |
| 4 weeks | 20 (8.8) |
| 3 months | 3 (1.3) |
| 3 months | 2 (0.9) |
| Postdischarge clinic present | 20 (8.8) |
| Considered starting a postdischarge clinica | 62 (30.5) |
| Starting in next yearb | 6 (3.3) |
| Are satisfied with experience in postdischarge clinicc | 17 (85) |
| Think patients are satisfied/highly satisfiedc | 14 (70) |
Responding hospitalists expressed confidence in a PDC to reduce postdischarge emergency department visits (74%). However, most felt they would require extra compensation to staff a PDC (77%). They were divided on whether they would discharge patients from the hospital earlier if they could see those patients in postdischarge follow‐up (51% would discharge patients earlier).
Compared to those who had not experienced a PDC, responding hospitalists who had provided care in a PDC trended toward responding more positively that hospitalists should provide postdischarge care (P = 0.054). Few responding hospitalists had such exposure (8.8%) at the time of the survey. Although 31% had considering starting a PDC, only 3% were starting in the next year. Of responding hospitalists with exposure to a PDC, 70% were satisfied with the experience and 85% felt their patients were satisfied. Responses did not vary by type of practice (academic vs nonacademic), group size, geographic location, or by exposure to a PDC except as above.
DISCUSSION
Responding hospitalists reported encountering significant difficulty arranging appropriate postdischarge appointments with primary care providers and feel this contributes to postdischarge complications. Nearly 75% of those surveyed felt a hospitalist‐run PDC would be effective in reducing postdischarge emergency department visits, presumably in part due to improved access to postdischarge care. However, 62% of responding hospitalists opposed providing this type of care, though those who had experienced a PDC were somewhat more likely to view providing care in a PDC favorably. Survey responses largely reflect attitudes rather than experience with PDCs, because very few respondents had ever worked in a PDC.
The juxtaposition of the confidence expressed in PDCs to reduce postdischarge emergency department visits with the less enthusiastic views of respondents about providing care in a PDC was surprising. Several explanations are possible. First, providing such care is outside the usual scope of practice of most hospitalists, and preliminary reports indicate hospitalists, as self‐selected inpatient providers, may not initially welcome this opportunity.[12] Second, responding hospitalists identified the need for extra compensation for providing this care, suggesting they would see staffing a PDC as a burden requiring extra payment. Third, only 12% of respondents felt their responsibility to their discharged patients extended to 1 month following discharge. Given this, hospitalists may not feel enough personal ownership over 30‐day readmission rates to justify the additional clinical demand of staffing a PDC.[13]
In fact, 29% of responding hospitalists felt their responsibility to the patient ended at the time of discharge. Respondents may have interpreted responsibility differently, and we cannot rule out response bias given our lower‐than‐expected response rate. However, we had anticipated many fewer hospitalists would respond this way given professional hospitalist societies have endorsed guidelines for improved transitions of care, which clearly delineate the key role hospitalists play in care transitions.[14]
Although fewer than 10% of respondents had worked in a PDC, nearly one‐third reported considering starting such a practice in the future, underscoring the importance of understanding hospitalist attitudes and experiences when creating a PDC and the significant barriers to arranging appropriate postdischarge care identified by survey respondents. The barriers to establishing a PDC may explain why few planned to start a PDC in the next year.
This study should be interpreted in the context of its design. Due to limitations in survey delivery, more rigorous sampling designs could not be used, and efforts were instead made to deliver the survey to a diverse group of hospitalists. The survey response rate was lower than anticipated and this increases the risk of response bias. Though this response rate is characteristic of other surveys of hospitalists, responses may have been from a selected population and therefore not representative of all hospitalists.[15] We sampled from a variety of practice venues, locations, academic and community practices, and practice group sizes to try to minimize this bias. Due to the low exposure rate to PDCs, hospitalist responses to experiences with PDCs should be considered exploratory.
We asked about similar content areas in the survey in multiple questions to maximize content validity; this resulted in variations in the degree of agreement or disagreement to similar prompts. For example, 62% of hospitalists opposed seeing patients in the clinic after discharge when directly asked, but nearly 50% said they would welcome the opportunity to work in a PDC if their employer required it. In another example, 50% of respondents said their responsibility for the patient ended at time of discharge, but when asked about duration of responsibility, 30% identified time of discharge as the limit. When reporting and interpreting results, we have tried to highlight responses to questions that ask most clearly and directly about the content of interest (rather than general themes), but this interpretation may also be subject to bias.
The time after hospital discharge is one of heightened risk for adverse events for the recently discharged patient. Hospitalist‐run postdischarge clinics may offer improved postdischarge care access and continuity; more research is needed on the effects of such clinics on patient outcomes, including postdischarge utilization. Until then, physicians and hospitals considering establishing PDCs should consider the barriers responding hospitalists identified to working in such a clinic, as well as the confidence they expressed in PDCs to reduce subsequent utilization.
Disclosures: Dr. Burke had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. The views expressed in this article are those of the authors and do not necessarily represent the views of the Department of Veterans Affairs. Dr. Burke was supported by grant funding from the Colorado Research Enhancement Award Program to Improve Care Coordination for Veterans. Dr. Ryan has no conflicts of interest to disclose.
- , , , , . The incidence and severity of adverse events affecting patients after discharge from the hospital. Ann Intern Med. 2003;138(3):161–167.
- , , . Rehospitalizations among patients in the Medicare fee‐for‐service program. N Engl J Med. 2009;360(14):1418–1428.
- , , , et al. Relationship between early physician follow‐up and 30‐day readmission among Medicare beneficiaries hospitalized for heart failure. JAMA. 2010;303(17):1716–1722.
- , , . Post‐hospitalization transitions: Examining the effects of timing of primary care provider follow‐up. J Hosp Med. 2010;5(7):392–397.
- , , . Will generalist physician supply meet demands of an increasing and aging population? Health Aff (Millwood). 2008;27(3):w232–w241.
- Association of American Medical Colleges. June 2010.The impact of health care reform on the future supply and demand for physicians updated projections through 2025. Available at: http://www.aamc.org/download/158076/data/updated_projections_through_2025.pdf. Accessed May 1, 2012.
- , , , , , . Continuity of outpatient and inpatient care by primary care physicians for hospitalized older adults. JAMA. 2009;301(16):1671–1680.
- , , , , . Trends in inpatient continuity of care for a cohort of Medicare patients 1996–2006. J Hosp Med. 2011;6(8):438–444.
- . Is a post‐discharge clinic in your hospital's future? The Hospitalist. December 2011 Available at: http://www.the‐hospitalist.org/details/article/1409011/Is_a_Post_Discharge_Clinic_in_Your_Hospitals_future.html. Accessed May 1, 2013.
- , , , . Continuity of care and patient outcomes after hospital discharge. J Gen Intern Med. 2004;19(6):624–631.
- , , , . Effects of a postdischarge clinic on housestaff satisfaction and utilization of hospital services. J Gen Intern Med. 1996;11(3):179–181.
- . Interval examination: establishment of a hospitalist‐staffed discharge clinic. J Gen Intern Med. 2012;27(10):1377–1382.
- Patient Protection and Affordable Care Act (PPACA).Public Law 111–148 2010. Available at: http://www.gpo.gov/fdsys/pkg/PLAW‐111publ148/pdf/PLAW‐111publ148.pdf. Accessed January 10, 2013.
- , , , et al. Transitions of Care Consensus policy statement: American College of Physicians, Society of General Internal Medicine, Society of Hospital Medicine, American Geriatrics Society, American College of Emergency Physicians, and Society for Academic Emergency Medicine. J Hosp Med. 2009;4(6):364–370.
- , , , , . Person‐job fit: an exploratory cross‐sectional analysis of hospitalists. J Hosp Med. 2013;8(2):96–101.
- , , , , . The incidence and severity of adverse events affecting patients after discharge from the hospital. Ann Intern Med. 2003;138(3):161–167.
- , , . Rehospitalizations among patients in the Medicare fee‐for‐service program. N Engl J Med. 2009;360(14):1418–1428.
- , , , et al. Relationship between early physician follow‐up and 30‐day readmission among Medicare beneficiaries hospitalized for heart failure. JAMA. 2010;303(17):1716–1722.
- , , . Post‐hospitalization transitions: Examining the effects of timing of primary care provider follow‐up. J Hosp Med. 2010;5(7):392–397.
- , , . Will generalist physician supply meet demands of an increasing and aging population? Health Aff (Millwood). 2008;27(3):w232–w241.
- Association of American Medical Colleges. June 2010.The impact of health care reform on the future supply and demand for physicians updated projections through 2025. Available at: http://www.aamc.org/download/158076/data/updated_projections_through_2025.pdf. Accessed May 1, 2012.
- , , , , , . Continuity of outpatient and inpatient care by primary care physicians for hospitalized older adults. JAMA. 2009;301(16):1671–1680.
- , , , , . Trends in inpatient continuity of care for a cohort of Medicare patients 1996–2006. J Hosp Med. 2011;6(8):438–444.
- . Is a post‐discharge clinic in your hospital's future? The Hospitalist. December 2011 Available at: http://www.the‐hospitalist.org/details/article/1409011/Is_a_Post_Discharge_Clinic_in_Your_Hospitals_future.html. Accessed May 1, 2013.
- , , , . Continuity of care and patient outcomes after hospital discharge. J Gen Intern Med. 2004;19(6):624–631.
- , , , . Effects of a postdischarge clinic on housestaff satisfaction and utilization of hospital services. J Gen Intern Med. 1996;11(3):179–181.
- . Interval examination: establishment of a hospitalist‐staffed discharge clinic. J Gen Intern Med. 2012;27(10):1377–1382.
- Patient Protection and Affordable Care Act (PPACA).Public Law 111–148 2010. Available at: http://www.gpo.gov/fdsys/pkg/PLAW‐111publ148/pdf/PLAW‐111publ148.pdf. Accessed January 10, 2013.
- , , , et al. Transitions of Care Consensus policy statement: American College of Physicians, Society of General Internal Medicine, Society of Hospital Medicine, American Geriatrics Society, American College of Emergency Physicians, and Society for Academic Emergency Medicine. J Hosp Med. 2009;4(6):364–370.
- , , , , . Person‐job fit: an exploratory cross‐sectional analysis of hospitalists. J Hosp Med. 2013;8(2):96–101.
Earlier Thrombolysis, Better Outcome for Stroke Patients
Clinical question
For patients presenting with acute ischemic stroke, is earlier onset of thrombolytic therapy associated with better outcomes?
Bottom line
Earlier thrombolytic therapy in patients with acute ischemic stroke is associated with improved outcomes, including reduced inpatient mortality, fewer intracranial bleeds, higher rates of independent ambulation at discharge, and increased number of discharges to home. These findings support continued efforts to accelerate the process of acute stroke care delivery and to promote earlier patient presentation after stroke symptom onset. (LOE = 2b)
Reference
Study design
Cohort (retrospective)
Funding source
Industry
Allocation
Uncertain
Setting
Inpatient (any location)
Synopsis
Previous data from 8 clinical trials of almost 2000 patients suggests that earlier thrombolytic therapy for ischemic stroke is most beneficial. The authors of the current study aimed to confirm the generalizability of these findings in patients treated for stroke in routine clinical practice. Using data from the American Heart Association's Get with the Guidelines stroke registry, these investigators examined the association between onset to treatment (OTT) time with intravenous tissue-type plasminogen activator (tPA) and outcomes for patients presenting with acute ischemic stroke. Almost 60,000 patients who received tPA within the guideline-recommended maximum of 4.5 hours of symptom onset were included in the analysis. Of this group, the median age was 72 years, 50% were women, and the median OTT time was 144 minutes. OTT times were further subdivided into 0 to 90-minute, 91- to 180-minute, and 181- to 270-minute intervals. Overall, 77% of the patients had an OTT time within 91 to 180 minutes while14% were treated between 181 and 270 minutes and 9% were treated within 90 minutes. Patients with earlier OTT times had higher stroke severity, were more likely to arrive by emergency medical service transport, and were more likely to present during regular weekday hours. Hospitals with higher volumes of tPA cases also had earlier OTT times. Out of the total study population, 33% were walking independently at discharge and almost 40% were discharged to home; 9% died in the hospital prior to discharge and 5% experienced intracranial bleeds. After adjusting for patient factors including stroke severity and hospital factors including volume of tPA-treated patients, the authors noted that earlier OTT times were associated with better outcomes. Among 1000 patients, every 15-minute-faster interval of treatment resulted in 8 more patients walking independently at discharge, 7 more patients being discharged to home, and 4 fewer patients dying in the hospital. Additionally, for every 15-minute decrease in OTT, bleeding events such as symptomatic intracranial bleeds and serious systemic bleeds were less likely to occur.
Dr. Kulkarni is an assistant professor of hospital medicine at Northwestern University in Chicago.
Clinical question
For patients presenting with acute ischemic stroke, is earlier onset of thrombolytic therapy associated with better outcomes?
Bottom line
Earlier thrombolytic therapy in patients with acute ischemic stroke is associated with improved outcomes, including reduced inpatient mortality, fewer intracranial bleeds, higher rates of independent ambulation at discharge, and increased number of discharges to home. These findings support continued efforts to accelerate the process of acute stroke care delivery and to promote earlier patient presentation after stroke symptom onset. (LOE = 2b)
Reference
Study design
Cohort (retrospective)
Funding source
Industry
Allocation
Uncertain
Setting
Inpatient (any location)
Synopsis
Previous data from 8 clinical trials of almost 2000 patients suggests that earlier thrombolytic therapy for ischemic stroke is most beneficial. The authors of the current study aimed to confirm the generalizability of these findings in patients treated for stroke in routine clinical practice. Using data from the American Heart Association's Get with the Guidelines stroke registry, these investigators examined the association between onset to treatment (OTT) time with intravenous tissue-type plasminogen activator (tPA) and outcomes for patients presenting with acute ischemic stroke. Almost 60,000 patients who received tPA within the guideline-recommended maximum of 4.5 hours of symptom onset were included in the analysis. Of this group, the median age was 72 years, 50% were women, and the median OTT time was 144 minutes. OTT times were further subdivided into 0 to 90-minute, 91- to 180-minute, and 181- to 270-minute intervals. Overall, 77% of the patients had an OTT time within 91 to 180 minutes while14% were treated between 181 and 270 minutes and 9% were treated within 90 minutes. Patients with earlier OTT times had higher stroke severity, were more likely to arrive by emergency medical service transport, and were more likely to present during regular weekday hours. Hospitals with higher volumes of tPA cases also had earlier OTT times. Out of the total study population, 33% were walking independently at discharge and almost 40% were discharged to home; 9% died in the hospital prior to discharge and 5% experienced intracranial bleeds. After adjusting for patient factors including stroke severity and hospital factors including volume of tPA-treated patients, the authors noted that earlier OTT times were associated with better outcomes. Among 1000 patients, every 15-minute-faster interval of treatment resulted in 8 more patients walking independently at discharge, 7 more patients being discharged to home, and 4 fewer patients dying in the hospital. Additionally, for every 15-minute decrease in OTT, bleeding events such as symptomatic intracranial bleeds and serious systemic bleeds were less likely to occur.
Dr. Kulkarni is an assistant professor of hospital medicine at Northwestern University in Chicago.
Clinical question
For patients presenting with acute ischemic stroke, is earlier onset of thrombolytic therapy associated with better outcomes?
Bottom line
Earlier thrombolytic therapy in patients with acute ischemic stroke is associated with improved outcomes, including reduced inpatient mortality, fewer intracranial bleeds, higher rates of independent ambulation at discharge, and increased number of discharges to home. These findings support continued efforts to accelerate the process of acute stroke care delivery and to promote earlier patient presentation after stroke symptom onset. (LOE = 2b)
Reference
Study design
Cohort (retrospective)
Funding source
Industry
Allocation
Uncertain
Setting
Inpatient (any location)
Synopsis
Previous data from 8 clinical trials of almost 2000 patients suggests that earlier thrombolytic therapy for ischemic stroke is most beneficial. The authors of the current study aimed to confirm the generalizability of these findings in patients treated for stroke in routine clinical practice. Using data from the American Heart Association's Get with the Guidelines stroke registry, these investigators examined the association between onset to treatment (OTT) time with intravenous tissue-type plasminogen activator (tPA) and outcomes for patients presenting with acute ischemic stroke. Almost 60,000 patients who received tPA within the guideline-recommended maximum of 4.5 hours of symptom onset were included in the analysis. Of this group, the median age was 72 years, 50% were women, and the median OTT time was 144 minutes. OTT times were further subdivided into 0 to 90-minute, 91- to 180-minute, and 181- to 270-minute intervals. Overall, 77% of the patients had an OTT time within 91 to 180 minutes while14% were treated between 181 and 270 minutes and 9% were treated within 90 minutes. Patients with earlier OTT times had higher stroke severity, were more likely to arrive by emergency medical service transport, and were more likely to present during regular weekday hours. Hospitals with higher volumes of tPA cases also had earlier OTT times. Out of the total study population, 33% were walking independently at discharge and almost 40% were discharged to home; 9% died in the hospital prior to discharge and 5% experienced intracranial bleeds. After adjusting for patient factors including stroke severity and hospital factors including volume of tPA-treated patients, the authors noted that earlier OTT times were associated with better outcomes. Among 1000 patients, every 15-minute-faster interval of treatment resulted in 8 more patients walking independently at discharge, 7 more patients being discharged to home, and 4 fewer patients dying in the hospital. Additionally, for every 15-minute decrease in OTT, bleeding events such as symptomatic intracranial bleeds and serious systemic bleeds were less likely to occur.
Dr. Kulkarni is an assistant professor of hospital medicine at Northwestern University in Chicago.
Aspirin As Safe and Effective As LMWH for Extended Thromboprophylaxis after THA
Clinical question
Is aspirin as effective as dalteparin for extended venous thromboembolism prophylaxis in patients who have undergone total hip arthroplasty?
Bottom line
Aspirin is as effective as dalteparin for extended thromboprophylaxis in patients who had hip arthroplasty (THA) and had initially received 10 days of dalteparin prophylaxis postoperatively. Because of its relative safety, low cost, and easy administration, aspirin is an attractive alternative to low-molecular-weight heparin (LMWH) when used for this purpose. (LOE = 1b)
Reference
Study design
Randomized controlled trial (double-blinded)
Funding source
Industry
Allocation
Concealed
Setting
Inpatient (any location) with outpatient follow-up
Synopsis
Previous studies have confirmed the benefit of extended thromboprophylaxis with LMWH in patients who have undergone elective THA (EBMG Evidence Summary 3/20/2003). The cost of LMWH and the inconvenience of administering daily subcutaneous injections are high, however. In this study, investigators enrolled patients undergoing elective THA to receive extended thromboprophylaxis with either LMWH, specifically dalteparin, or aspirin. All patients received an initial 8 days to 10 days of postoperative dalteparin prophylaxis. This was followed by randomization to either dalteparin 5000 units daily or aspirin 81 mg daily for the next 28 days. To preserve masking, placebo aspirin tablets and placebo dalteparin injections were also administered. Patients with metastatic cancer or those with conditions that precluded the use of an anticoagulant or aspirin were excluded. An amendment to the initial study protocol allowed patients using long-term aspirin therapy at a dose of less than 100 mg daily to be enrolled. These patients were assigned to either dalteparin or aspirin 81 mg in addition to their usual dose of aspirin. Because of slow recruitment, study enrollment was halted prematurely after 786 patients of a targeted group of 1100 had entered. Baseline characteristics in the 2 groups were similar, with a mean age of 58 years and mean hospital length of stay of 5 days. More than 90% of the patients in the study reported adherence to all doses of the study medications. After a 90-day follow-up period, aspirin was found to be as effective as dalteparin for the prevention of symptomatic venous thromboembolism (1.3% with venous thromboembolism events in the dalteparin group, 0.3% in the aspirin group; P < .001 for noninferiority). There were no differences in clinically significant bleeding events between the 2 groups, although the trend favored aspirin (1.3% with dalteparin vs 0.5% with aspirin). In the subset of patients using long-term aspirin therapy (n = 39), one patient assigned to the aspirin group had a clinically significant, nonmajor bleeding event, but there were no venous thromboembolism events in either group.
Dr. Kulkarni is an assistant professor of hospital medicine at Northwestern University in Chicago.
Clinical question
Is aspirin as effective as dalteparin for extended venous thromboembolism prophylaxis in patients who have undergone total hip arthroplasty?
Bottom line
Aspirin is as effective as dalteparin for extended thromboprophylaxis in patients who had hip arthroplasty (THA) and had initially received 10 days of dalteparin prophylaxis postoperatively. Because of its relative safety, low cost, and easy administration, aspirin is an attractive alternative to low-molecular-weight heparin (LMWH) when used for this purpose. (LOE = 1b)
Reference
Study design
Randomized controlled trial (double-blinded)
Funding source
Industry
Allocation
Concealed
Setting
Inpatient (any location) with outpatient follow-up
Synopsis
Previous studies have confirmed the benefit of extended thromboprophylaxis with LMWH in patients who have undergone elective THA (EBMG Evidence Summary 3/20/2003). The cost of LMWH and the inconvenience of administering daily subcutaneous injections are high, however. In this study, investigators enrolled patients undergoing elective THA to receive extended thromboprophylaxis with either LMWH, specifically dalteparin, or aspirin. All patients received an initial 8 days to 10 days of postoperative dalteparin prophylaxis. This was followed by randomization to either dalteparin 5000 units daily or aspirin 81 mg daily for the next 28 days. To preserve masking, placebo aspirin tablets and placebo dalteparin injections were also administered. Patients with metastatic cancer or those with conditions that precluded the use of an anticoagulant or aspirin were excluded. An amendment to the initial study protocol allowed patients using long-term aspirin therapy at a dose of less than 100 mg daily to be enrolled. These patients were assigned to either dalteparin or aspirin 81 mg in addition to their usual dose of aspirin. Because of slow recruitment, study enrollment was halted prematurely after 786 patients of a targeted group of 1100 had entered. Baseline characteristics in the 2 groups were similar, with a mean age of 58 years and mean hospital length of stay of 5 days. More than 90% of the patients in the study reported adherence to all doses of the study medications. After a 90-day follow-up period, aspirin was found to be as effective as dalteparin for the prevention of symptomatic venous thromboembolism (1.3% with venous thromboembolism events in the dalteparin group, 0.3% in the aspirin group; P < .001 for noninferiority). There were no differences in clinically significant bleeding events between the 2 groups, although the trend favored aspirin (1.3% with dalteparin vs 0.5% with aspirin). In the subset of patients using long-term aspirin therapy (n = 39), one patient assigned to the aspirin group had a clinically significant, nonmajor bleeding event, but there were no venous thromboembolism events in either group.
Dr. Kulkarni is an assistant professor of hospital medicine at Northwestern University in Chicago.
Clinical question
Is aspirin as effective as dalteparin for extended venous thromboembolism prophylaxis in patients who have undergone total hip arthroplasty?
Bottom line
Aspirin is as effective as dalteparin for extended thromboprophylaxis in patients who had hip arthroplasty (THA) and had initially received 10 days of dalteparin prophylaxis postoperatively. Because of its relative safety, low cost, and easy administration, aspirin is an attractive alternative to low-molecular-weight heparin (LMWH) when used for this purpose. (LOE = 1b)
Reference
Study design
Randomized controlled trial (double-blinded)
Funding source
Industry
Allocation
Concealed
Setting
Inpatient (any location) with outpatient follow-up
Synopsis
Previous studies have confirmed the benefit of extended thromboprophylaxis with LMWH in patients who have undergone elective THA (EBMG Evidence Summary 3/20/2003). The cost of LMWH and the inconvenience of administering daily subcutaneous injections are high, however. In this study, investigators enrolled patients undergoing elective THA to receive extended thromboprophylaxis with either LMWH, specifically dalteparin, or aspirin. All patients received an initial 8 days to 10 days of postoperative dalteparin prophylaxis. This was followed by randomization to either dalteparin 5000 units daily or aspirin 81 mg daily for the next 28 days. To preserve masking, placebo aspirin tablets and placebo dalteparin injections were also administered. Patients with metastatic cancer or those with conditions that precluded the use of an anticoagulant or aspirin were excluded. An amendment to the initial study protocol allowed patients using long-term aspirin therapy at a dose of less than 100 mg daily to be enrolled. These patients were assigned to either dalteparin or aspirin 81 mg in addition to their usual dose of aspirin. Because of slow recruitment, study enrollment was halted prematurely after 786 patients of a targeted group of 1100 had entered. Baseline characteristics in the 2 groups were similar, with a mean age of 58 years and mean hospital length of stay of 5 days. More than 90% of the patients in the study reported adherence to all doses of the study medications. After a 90-day follow-up period, aspirin was found to be as effective as dalteparin for the prevention of symptomatic venous thromboembolism (1.3% with venous thromboembolism events in the dalteparin group, 0.3% in the aspirin group; P < .001 for noninferiority). There were no differences in clinically significant bleeding events between the 2 groups, although the trend favored aspirin (1.3% with dalteparin vs 0.5% with aspirin). In the subset of patients using long-term aspirin therapy (n = 39), one patient assigned to the aspirin group had a clinically significant, nonmajor bleeding event, but there were no venous thromboembolism events in either group.
Dr. Kulkarni is an assistant professor of hospital medicine at Northwestern University in Chicago.
Estate planning
The latest anniversary of my birth is fast approaching; but fortunately, I have learned to celebrate these annual events rather than dread them. I now understand that life gets better as we get older, on all levels – except, perhaps, the physical.
But I have also found that birthdays are a good time to pause and consider the various financial arrangements that I’ve set up over the years and to determine whether any of them need updating.
Estate plans, in particular, need regular review and revision. Nothing important has changed in your life since you drafted your will, you say? Well, chances are the laws have changed; or, other factors may have rendered your plan obsolete without your even realizing it.
I am assuming, of course, that you have in fact drafted a will. If not, do it now. Things happen; if you die without one ("intestate," in lawyers’ lingo), your heirs will be at the mercy of attorneys, bureaucrats, state and federal laws, and greed. Quarrels will ensue; decisions will be made that are almost certainly at variance with what you would have wanted; and a substantial chunk of your estate, which could have gone to loved ones or to charity, will be lost to taxes and fees. If you don’t have a will, regardless of your age or current financial status, have one written at your earliest possible convenience.
That said, let’s consider some variables that mandate your constant vigilance:
• Laws change. Trust laws, in particular, have changed a great deal in recent years, and trust strategies have changed with them. New instruments like perpetual trusts, trust protectors, directed trusts, and total return trusts may or may not work to your advantage, but you won\'t know without asking. State laws change, too, all the time.
Once a year my wife and I meet with our estate lawyer to learn about any new legislation that may have affected our plan. Last year, I learned that my irrevocable trust is no longer irrevocable; new laws now permit certain provisions to be modified.
Laws that don’t directly regulate wills and trusts can affect them as well. For instance, the ever-popular Health Insurance Portability and Accountability Act (HIPAA) affects your estate as well as your practice; under its provisions, your family cannot access your medical information or make treatment and life-support decisions without your specific permission. So if a Health Care Power of Attorney is not already part of your will, add it. And remember to modify it if your medical status, or your philosophy of life, change.
• Financial markets change. It’s not exactly a secret that asset values and interest rates are way different than they were even a few years ago. Real estate or securities bequests could now be significantly larger, or smaller. Your accountant and estate lawyer should take a look at your assets periodically and their apportionment in your will, to be sure all arrangements remain as you intend. And be sure to notify them whenever the composition of your assets changes, even if the value doesn’t. Let’s say you sell a business or property and reinvest the proceeds in something completely different; that will change how you leave that asset to your heirs, because a different set of tax laws will apply.
• Fiduciaries change. The executor of your estate and the trustee(s) of your trust(s) need periodic review. If your brother-in-law is your executor, and your sister divorces him, you may want to find a new executor. A once-vigorous trustee who is now old or sick should be replaced. Trustees are often financial institutions; if one of your corporate trustees goes belly up, or the employee you were working with retires or changes firms, you’ll need a replacement. Keep track of your fiduciaries and be prepared to make changes as needed.
• Personal circumstances change. Some changes – marriage, divorce, the death of an heir, or the birth of a new one – obviously require modifications to wills and trusts. But any significant alteration of your personal or financial circumstances probably merits at least a phone call to your financial planners. The need for changes, and your options should changes be necessary, are not always obvious.
Dr. Eastern practices dermatology and dermatologic surgery in Belleville, N.J. He is a clinical associate professor of dermatology at Seton Hall University School of Graduate Medical Education in South Orange, N.J. Dr. Eastern is a two-time past-president of the Dermatological Society of New Jersey and currently serves on its executive board. He holds teaching positions at a number of hospitals and has delivered more than 500 academic speaking presentations. He is the author of numerous articles and textbook chapters and is a long-time monthly columnist for Skin & Allergy News, a publication of IMNG Medical Media.
The latest anniversary of my birth is fast approaching; but fortunately, I have learned to celebrate these annual events rather than dread them. I now understand that life gets better as we get older, on all levels – except, perhaps, the physical.
But I have also found that birthdays are a good time to pause and consider the various financial arrangements that I’ve set up over the years and to determine whether any of them need updating.
Estate plans, in particular, need regular review and revision. Nothing important has changed in your life since you drafted your will, you say? Well, chances are the laws have changed; or, other factors may have rendered your plan obsolete without your even realizing it.
I am assuming, of course, that you have in fact drafted a will. If not, do it now. Things happen; if you die without one ("intestate," in lawyers’ lingo), your heirs will be at the mercy of attorneys, bureaucrats, state and federal laws, and greed. Quarrels will ensue; decisions will be made that are almost certainly at variance with what you would have wanted; and a substantial chunk of your estate, which could have gone to loved ones or to charity, will be lost to taxes and fees. If you don’t have a will, regardless of your age or current financial status, have one written at your earliest possible convenience.
That said, let’s consider some variables that mandate your constant vigilance:
• Laws change. Trust laws, in particular, have changed a great deal in recent years, and trust strategies have changed with them. New instruments like perpetual trusts, trust protectors, directed trusts, and total return trusts may or may not work to your advantage, but you won\'t know without asking. State laws change, too, all the time.
Once a year my wife and I meet with our estate lawyer to learn about any new legislation that may have affected our plan. Last year, I learned that my irrevocable trust is no longer irrevocable; new laws now permit certain provisions to be modified.
Laws that don’t directly regulate wills and trusts can affect them as well. For instance, the ever-popular Health Insurance Portability and Accountability Act (HIPAA) affects your estate as well as your practice; under its provisions, your family cannot access your medical information or make treatment and life-support decisions without your specific permission. So if a Health Care Power of Attorney is not already part of your will, add it. And remember to modify it if your medical status, or your philosophy of life, change.
• Financial markets change. It’s not exactly a secret that asset values and interest rates are way different than they were even a few years ago. Real estate or securities bequests could now be significantly larger, or smaller. Your accountant and estate lawyer should take a look at your assets periodically and their apportionment in your will, to be sure all arrangements remain as you intend. And be sure to notify them whenever the composition of your assets changes, even if the value doesn’t. Let’s say you sell a business or property and reinvest the proceeds in something completely different; that will change how you leave that asset to your heirs, because a different set of tax laws will apply.
• Fiduciaries change. The executor of your estate and the trustee(s) of your trust(s) need periodic review. If your brother-in-law is your executor, and your sister divorces him, you may want to find a new executor. A once-vigorous trustee who is now old or sick should be replaced. Trustees are often financial institutions; if one of your corporate trustees goes belly up, or the employee you were working with retires or changes firms, you’ll need a replacement. Keep track of your fiduciaries and be prepared to make changes as needed.
• Personal circumstances change. Some changes – marriage, divorce, the death of an heir, or the birth of a new one – obviously require modifications to wills and trusts. But any significant alteration of your personal or financial circumstances probably merits at least a phone call to your financial planners. The need for changes, and your options should changes be necessary, are not always obvious.
Dr. Eastern practices dermatology and dermatologic surgery in Belleville, N.J. He is a clinical associate professor of dermatology at Seton Hall University School of Graduate Medical Education in South Orange, N.J. Dr. Eastern is a two-time past-president of the Dermatological Society of New Jersey and currently serves on its executive board. He holds teaching positions at a number of hospitals and has delivered more than 500 academic speaking presentations. He is the author of numerous articles and textbook chapters and is a long-time monthly columnist for Skin & Allergy News, a publication of IMNG Medical Media.
The latest anniversary of my birth is fast approaching; but fortunately, I have learned to celebrate these annual events rather than dread them. I now understand that life gets better as we get older, on all levels – except, perhaps, the physical.
But I have also found that birthdays are a good time to pause and consider the various financial arrangements that I’ve set up over the years and to determine whether any of them need updating.
Estate plans, in particular, need regular review and revision. Nothing important has changed in your life since you drafted your will, you say? Well, chances are the laws have changed; or, other factors may have rendered your plan obsolete without your even realizing it.
I am assuming, of course, that you have in fact drafted a will. If not, do it now. Things happen; if you die without one ("intestate," in lawyers’ lingo), your heirs will be at the mercy of attorneys, bureaucrats, state and federal laws, and greed. Quarrels will ensue; decisions will be made that are almost certainly at variance with what you would have wanted; and a substantial chunk of your estate, which could have gone to loved ones or to charity, will be lost to taxes and fees. If you don’t have a will, regardless of your age or current financial status, have one written at your earliest possible convenience.
That said, let’s consider some variables that mandate your constant vigilance:
• Laws change. Trust laws, in particular, have changed a great deal in recent years, and trust strategies have changed with them. New instruments like perpetual trusts, trust protectors, directed trusts, and total return trusts may or may not work to your advantage, but you won\'t know without asking. State laws change, too, all the time.
Once a year my wife and I meet with our estate lawyer to learn about any new legislation that may have affected our plan. Last year, I learned that my irrevocable trust is no longer irrevocable; new laws now permit certain provisions to be modified.
Laws that don’t directly regulate wills and trusts can affect them as well. For instance, the ever-popular Health Insurance Portability and Accountability Act (HIPAA) affects your estate as well as your practice; under its provisions, your family cannot access your medical information or make treatment and life-support decisions without your specific permission. So if a Health Care Power of Attorney is not already part of your will, add it. And remember to modify it if your medical status, or your philosophy of life, change.
• Financial markets change. It’s not exactly a secret that asset values and interest rates are way different than they were even a few years ago. Real estate or securities bequests could now be significantly larger, or smaller. Your accountant and estate lawyer should take a look at your assets periodically and their apportionment in your will, to be sure all arrangements remain as you intend. And be sure to notify them whenever the composition of your assets changes, even if the value doesn’t. Let’s say you sell a business or property and reinvest the proceeds in something completely different; that will change how you leave that asset to your heirs, because a different set of tax laws will apply.
• Fiduciaries change. The executor of your estate and the trustee(s) of your trust(s) need periodic review. If your brother-in-law is your executor, and your sister divorces him, you may want to find a new executor. A once-vigorous trustee who is now old or sick should be replaced. Trustees are often financial institutions; if one of your corporate trustees goes belly up, or the employee you were working with retires or changes firms, you’ll need a replacement. Keep track of your fiduciaries and be prepared to make changes as needed.
• Personal circumstances change. Some changes – marriage, divorce, the death of an heir, or the birth of a new one – obviously require modifications to wills and trusts. But any significant alteration of your personal or financial circumstances probably merits at least a phone call to your financial planners. The need for changes, and your options should changes be necessary, are not always obvious.
Dr. Eastern practices dermatology and dermatologic surgery in Belleville, N.J. He is a clinical associate professor of dermatology at Seton Hall University School of Graduate Medical Education in South Orange, N.J. Dr. Eastern is a two-time past-president of the Dermatological Society of New Jersey and currently serves on its executive board. He holds teaching positions at a number of hospitals and has delivered more than 500 academic speaking presentations. He is the author of numerous articles and textbook chapters and is a long-time monthly columnist for Skin & Allergy News, a publication of IMNG Medical Media.
Assessment of physician compliance to liver function test monitoring guidance for patients treated with lapatinib
Background and objective A cumulative review of hepatobiliary abnormalities in the lapatinib clinical program resulted in inclusion of detailed instructions for liver function test (LFT) monitoring in the US prescribing information (label). We sought to determine whether or not physicians adhere to these recommended guidelines.
Methods A retrospective observational cohort study comprising 396 women with HER2 metastatic breast cancer who initiated lapatinib between March 1, 2007 and June 30, 2010. Data were captured from electronic medical records (EMR) of communitybased oncology practices. Patients were categorized by whether they initiated lapatinib before or after the label change; LFT monitoring was evaluated using a pre- versus post-label study design. We measured the proportion of patients who had LFTs within 30 days before lapatinib initiation, LFTs during each 6-week period of treatment, and lapatinib permanently withdrawn after experiencing an extreme LFT elevation.
Results Among 396 patients, 128 (32%) initiated lapatinib pre-label change, and 268 (68%) initiated post-label change. LFTs were conducted 30 days prior to lapatinib start in 82% post-label versus 63% pre-label change patients (P greater than .001). Testing during each 6-week treatment interval was higher in post-label change patients: 81% versus 68% pre-label change patients during the first 6 weeks of therapy (P equals .004), and 83% versus 62%, respectively, during weeks 18-24 (P equals .0103). Four patients experienced a severe LFT elevation: 2 pre-label patients who resumed treatment, and 2 post-label change patients with complete discontinuation.
Conclusions We demonstrated that LFT monitoring increased after the addition of detailed LFT guidance to the lapatinib label.
*Click on the link to the left for a PDF of the full article.
Background and objective A cumulative review of hepatobiliary abnormalities in the lapatinib clinical program resulted in inclusion of detailed instructions for liver function test (LFT) monitoring in the US prescribing information (label). We sought to determine whether or not physicians adhere to these recommended guidelines.
Methods A retrospective observational cohort study comprising 396 women with HER2 metastatic breast cancer who initiated lapatinib between March 1, 2007 and June 30, 2010. Data were captured from electronic medical records (EMR) of communitybased oncology practices. Patients were categorized by whether they initiated lapatinib before or after the label change; LFT monitoring was evaluated using a pre- versus post-label study design. We measured the proportion of patients who had LFTs within 30 days before lapatinib initiation, LFTs during each 6-week period of treatment, and lapatinib permanently withdrawn after experiencing an extreme LFT elevation.
Results Among 396 patients, 128 (32%) initiated lapatinib pre-label change, and 268 (68%) initiated post-label change. LFTs were conducted 30 days prior to lapatinib start in 82% post-label versus 63% pre-label change patients (P greater than .001). Testing during each 6-week treatment interval was higher in post-label change patients: 81% versus 68% pre-label change patients during the first 6 weeks of therapy (P equals .004), and 83% versus 62%, respectively, during weeks 18-24 (P equals .0103). Four patients experienced a severe LFT elevation: 2 pre-label patients who resumed treatment, and 2 post-label change patients with complete discontinuation.
Conclusions We demonstrated that LFT monitoring increased after the addition of detailed LFT guidance to the lapatinib label.
*Click on the link to the left for a PDF of the full article.
Background and objective A cumulative review of hepatobiliary abnormalities in the lapatinib clinical program resulted in inclusion of detailed instructions for liver function test (LFT) monitoring in the US prescribing information (label). We sought to determine whether or not physicians adhere to these recommended guidelines.
Methods A retrospective observational cohort study comprising 396 women with HER2 metastatic breast cancer who initiated lapatinib between March 1, 2007 and June 30, 2010. Data were captured from electronic medical records (EMR) of communitybased oncology practices. Patients were categorized by whether they initiated lapatinib before or after the label change; LFT monitoring was evaluated using a pre- versus post-label study design. We measured the proportion of patients who had LFTs within 30 days before lapatinib initiation, LFTs during each 6-week period of treatment, and lapatinib permanently withdrawn after experiencing an extreme LFT elevation.
Results Among 396 patients, 128 (32%) initiated lapatinib pre-label change, and 268 (68%) initiated post-label change. LFTs were conducted 30 days prior to lapatinib start in 82% post-label versus 63% pre-label change patients (P greater than .001). Testing during each 6-week treatment interval was higher in post-label change patients: 81% versus 68% pre-label change patients during the first 6 weeks of therapy (P equals .004), and 83% versus 62%, respectively, during weeks 18-24 (P equals .0103). Four patients experienced a severe LFT elevation: 2 pre-label patients who resumed treatment, and 2 post-label change patients with complete discontinuation.
Conclusions We demonstrated that LFT monitoring increased after the addition of detailed LFT guidance to the lapatinib label.
*Click on the link to the left for a PDF of the full article.
The demands of cancer survivorship: the who, what, when, where, why, and how
With an exponential increase in the number of cancer survivors over the past few decades, we have an opportunity and responsibility to effectively manage cancer survivors across the continuum of cancer care. The delivery of survivorship care requires realistic deliverables with defined outcomes that focus on cost, impact on disease management and prevention, and integration within a health care delivery model. Building a framework using defined time-points and definitions can be helpful. Due to the complex nature of delivering cancer survivorship care, it is necessary to establish collaborations with specialty providers including cardiologists, reproductive specialists, endocrinology, ophthalmology, allied health professionals and cancer rehab, to name a few. Strengthening relationships with primary care providers will enhance the transition from cancer care to primary care. Essential tools to help fulfill these goals and achieve national standards include using expert recommended treatment summaries and survivorship care plans. These tools support a shared care model with the goal of high quality, coordinated healthcare for the survivorship population. With limited evidence to guide the delivery of survivorship care and national standards looming, how do we meet the demands of cancer survivorship? This article explores the “the who, what, when, where, why and how?” of cancer survivorship care.
Click on the PDF icon at the top of this introduction to read the full article.
With an exponential increase in the number of cancer survivors over the past few decades, we have an opportunity and responsibility to effectively manage cancer survivors across the continuum of cancer care. The delivery of survivorship care requires realistic deliverables with defined outcomes that focus on cost, impact on disease management and prevention, and integration within a health care delivery model. Building a framework using defined time-points and definitions can be helpful. Due to the complex nature of delivering cancer survivorship care, it is necessary to establish collaborations with specialty providers including cardiologists, reproductive specialists, endocrinology, ophthalmology, allied health professionals and cancer rehab, to name a few. Strengthening relationships with primary care providers will enhance the transition from cancer care to primary care. Essential tools to help fulfill these goals and achieve national standards include using expert recommended treatment summaries and survivorship care plans. These tools support a shared care model with the goal of high quality, coordinated healthcare for the survivorship population. With limited evidence to guide the delivery of survivorship care and national standards looming, how do we meet the demands of cancer survivorship? This article explores the “the who, what, when, where, why and how?” of cancer survivorship care.
Click on the PDF icon at the top of this introduction to read the full article.
With an exponential increase in the number of cancer survivors over the past few decades, we have an opportunity and responsibility to effectively manage cancer survivors across the continuum of cancer care. The delivery of survivorship care requires realistic deliverables with defined outcomes that focus on cost, impact on disease management and prevention, and integration within a health care delivery model. Building a framework using defined time-points and definitions can be helpful. Due to the complex nature of delivering cancer survivorship care, it is necessary to establish collaborations with specialty providers including cardiologists, reproductive specialists, endocrinology, ophthalmology, allied health professionals and cancer rehab, to name a few. Strengthening relationships with primary care providers will enhance the transition from cancer care to primary care. Essential tools to help fulfill these goals and achieve national standards include using expert recommended treatment summaries and survivorship care plans. These tools support a shared care model with the goal of high quality, coordinated healthcare for the survivorship population. With limited evidence to guide the delivery of survivorship care and national standards looming, how do we meet the demands of cancer survivorship? This article explores the “the who, what, when, where, why and how?” of cancer survivorship care.
Click on the PDF icon at the top of this introduction to read the full article.
Treating the psych side
Stepping in to prevent future tragedies like the mass shooting at the D.C. Navy Yard
Words could never adequately describe the grief and astonishment most of us feel about the massacre of 12 innocent people that took place in the Navy Yard in Washington on Sept. 16. We can identify with the victims, just ordinary people going about their ordinary routines. They were just like us. This could happen anywhere, anytime.
What makes a person snap and go on a shooting rampage with the intent to slaughter innocent people, and how can these tragedies be prevented in the future? According to news reports, the father of Aaron Alexis said the shooter suffered from posttraumatic stress disorder after the 9/11 terrorist attacks. He participated in the search-and-rescue efforts after that tragic event. Subsequent to 9/11 he had his first documented violent outburst when he shot out the tires of a construction worker who he felt had disrespected him.
While it is virtually impossible to get inside the head of an individual who is capable of performing such a heinous act, truth be told, many mass murderers were once "normal people." I’ll never forget the words of wisdom I received one day on rounds during my residency when my attending reminded us then-green physicians that the No. 1 cause of death of psychiatric patients is a medical illness.
Why is that germane? Because we all treat patients who suffer from PTSD, paranoid schizophrenia, psychosis, and a host of other potentially volatile psychiatric illnesses. And, if we are honest with ourselves, most of us would have to admit that these psychiatric illnesses are relegated pretty low on our priority list when we are busy treating more acute issues, like multilobar pneumonia or acute coronary syndrome. However, when the dust clears, we have the opportunity to address their psychiatric conditions as well.
No, we are not trained to adequately treat those conditions. The medications used are beyond the scope of our training in most instances, but we can confirm with our patients, and sometimes even their family members, whether they are stable on their current regimen.
We can confirm that they have appropriate follow-up, that they can afford their medications, that they are taking their medications as prescribed, and that they are not a volcano waiting to explode.
We can get a case manager or social worker involved if there are any issues with access to psychiatric care or affording their medications. We can consult our in-house psychiatrist if we are remotely concerned about the stability of any of our patients.
Sometimes we have "problem" patients – the ones who scream, curse, and maybe even throw things. Nurses literally beg us to discharge them as soon as possible. No one wants to go into their room. And maybe, deep down inside, we secretly go above and beyond to stabilize them so they can be discharged quickly. But perhaps these are exactly the patients we need to hold onto for an extra day or two, just in case they are on the verge of a meltdown that could prove catastrophic to them and whoever just happens to be in the wrong place at the wrong time.
Dr. Hester is a hospitalist with Baltimore-Washington Medical Center who has a passion for empowering patients to partner in their health care. She is the creator of the Patient Whiz, a patient-engagement app for iOS.
Stepping in to prevent future tragedies like the mass shooting at the D.C. Navy Yard
Stepping in to prevent future tragedies like the mass shooting at the D.C. Navy Yard
Words could never adequately describe the grief and astonishment most of us feel about the massacre of 12 innocent people that took place in the Navy Yard in Washington on Sept. 16. We can identify with the victims, just ordinary people going about their ordinary routines. They were just like us. This could happen anywhere, anytime.
What makes a person snap and go on a shooting rampage with the intent to slaughter innocent people, and how can these tragedies be prevented in the future? According to news reports, the father of Aaron Alexis said the shooter suffered from posttraumatic stress disorder after the 9/11 terrorist attacks. He participated in the search-and-rescue efforts after that tragic event. Subsequent to 9/11 he had his first documented violent outburst when he shot out the tires of a construction worker who he felt had disrespected him.
While it is virtually impossible to get inside the head of an individual who is capable of performing such a heinous act, truth be told, many mass murderers were once "normal people." I’ll never forget the words of wisdom I received one day on rounds during my residency when my attending reminded us then-green physicians that the No. 1 cause of death of psychiatric patients is a medical illness.
Why is that germane? Because we all treat patients who suffer from PTSD, paranoid schizophrenia, psychosis, and a host of other potentially volatile psychiatric illnesses. And, if we are honest with ourselves, most of us would have to admit that these psychiatric illnesses are relegated pretty low on our priority list when we are busy treating more acute issues, like multilobar pneumonia or acute coronary syndrome. However, when the dust clears, we have the opportunity to address their psychiatric conditions as well.
No, we are not trained to adequately treat those conditions. The medications used are beyond the scope of our training in most instances, but we can confirm with our patients, and sometimes even their family members, whether they are stable on their current regimen.
We can confirm that they have appropriate follow-up, that they can afford their medications, that they are taking their medications as prescribed, and that they are not a volcano waiting to explode.
We can get a case manager or social worker involved if there are any issues with access to psychiatric care or affording their medications. We can consult our in-house psychiatrist if we are remotely concerned about the stability of any of our patients.
Sometimes we have "problem" patients – the ones who scream, curse, and maybe even throw things. Nurses literally beg us to discharge them as soon as possible. No one wants to go into their room. And maybe, deep down inside, we secretly go above and beyond to stabilize them so they can be discharged quickly. But perhaps these are exactly the patients we need to hold onto for an extra day or two, just in case they are on the verge of a meltdown that could prove catastrophic to them and whoever just happens to be in the wrong place at the wrong time.
Dr. Hester is a hospitalist with Baltimore-Washington Medical Center who has a passion for empowering patients to partner in their health care. She is the creator of the Patient Whiz, a patient-engagement app for iOS.
Words could never adequately describe the grief and astonishment most of us feel about the massacre of 12 innocent people that took place in the Navy Yard in Washington on Sept. 16. We can identify with the victims, just ordinary people going about their ordinary routines. They were just like us. This could happen anywhere, anytime.
What makes a person snap and go on a shooting rampage with the intent to slaughter innocent people, and how can these tragedies be prevented in the future? According to news reports, the father of Aaron Alexis said the shooter suffered from posttraumatic stress disorder after the 9/11 terrorist attacks. He participated in the search-and-rescue efforts after that tragic event. Subsequent to 9/11 he had his first documented violent outburst when he shot out the tires of a construction worker who he felt had disrespected him.
While it is virtually impossible to get inside the head of an individual who is capable of performing such a heinous act, truth be told, many mass murderers were once "normal people." I’ll never forget the words of wisdom I received one day on rounds during my residency when my attending reminded us then-green physicians that the No. 1 cause of death of psychiatric patients is a medical illness.
Why is that germane? Because we all treat patients who suffer from PTSD, paranoid schizophrenia, psychosis, and a host of other potentially volatile psychiatric illnesses. And, if we are honest with ourselves, most of us would have to admit that these psychiatric illnesses are relegated pretty low on our priority list when we are busy treating more acute issues, like multilobar pneumonia or acute coronary syndrome. However, when the dust clears, we have the opportunity to address their psychiatric conditions as well.
No, we are not trained to adequately treat those conditions. The medications used are beyond the scope of our training in most instances, but we can confirm with our patients, and sometimes even their family members, whether they are stable on their current regimen.
We can confirm that they have appropriate follow-up, that they can afford their medications, that they are taking their medications as prescribed, and that they are not a volcano waiting to explode.
We can get a case manager or social worker involved if there are any issues with access to psychiatric care or affording their medications. We can consult our in-house psychiatrist if we are remotely concerned about the stability of any of our patients.
Sometimes we have "problem" patients – the ones who scream, curse, and maybe even throw things. Nurses literally beg us to discharge them as soon as possible. No one wants to go into their room. And maybe, deep down inside, we secretly go above and beyond to stabilize them so they can be discharged quickly. But perhaps these are exactly the patients we need to hold onto for an extra day or two, just in case they are on the verge of a meltdown that could prove catastrophic to them and whoever just happens to be in the wrong place at the wrong time.
Dr. Hester is a hospitalist with Baltimore-Washington Medical Center who has a passion for empowering patients to partner in their health care. She is the creator of the Patient Whiz, a patient-engagement app for iOS.
How was your night, Doc? The limits of disclosure in preop
This morning I had the usual 7:30 a.m. elective surgical case scheduled. As I usually do, I went to see my patient at around 7 a.m. to review the procedure, answer any new questions that may have come up, and mark the incision site. My patient greeted me very cheerfully with the following questions, "How was your night? Did you sleep OK? Are you feeling good this morning? No arguments at home, I hope?" I readily answered, as I almost always do, when discussing things with patients in the preop area, that I am feeling good and ready for things to go well with the case.
I have been asked such questions many times over the years. However, for some reason the interchange with my patient this morning raised additional questions for me: Is it really acceptable for patients to ask such questions? Do I have an obligation to disclose such things? Do patients really want to know the answers or are they simply making nervous conversation?
In recent years, there have been a number of articles questioning whether surgeons should be required to disclose a lack of sleep to their elective surgical patients so that the patient can make a "truly informed" decision about what the risks of their surgery are. Thus far, there have been no such requirements at any hospital in the United States that I know of. But my patient’s questions raised a number of practical issues for me with such disclosure. We had already had a conversation in my office when I originally obtained consent for the procedure. I had carefully reviewed risks, benefits, and alternatives to the operation, and I had answered a list of the patient’s questions. Since I was actually the patient’s third opinion, it was clear that the patient already had significant background knowledge about the operation. The patient had signed the consent form before leaving my office.
At some point, before, during, or after my conversation with the patient, he had decided to trust me enough to allow me to do the operation. Subsequently, while home in the days prior to the surgery date, the patient had the opportunity to change his mind, but he actually came to the hospital on the morning of surgery. He had thus actively expressed his confidence in me by showing up for surgery. In this context, I believe that the patient’s questions were really a friendly way of expressing some degree of anxiety about the operation rather than an actual second guessing of my capacity to optimally perform the surgery. In this context, I believe that it is more important that I try to alleviate the patient’s concerns than that I give an expansive discourse on whatever stressful issues may be going on in my personal life.
Of particular importance is the issue of how much I have slept. I do not believe that I should discuss any concerns I may have with lack of sleep with my patient unless I have decided that I am not the best person to perform the surgery. I do not think that I would be doing my patient a service by, for example, saying that I didn’t sleep well and studies show that I might have altered judgment and asking the patient to sign a document that I have disclosed this fact. Such a disclosure seems to be designed to protect the surgeon and the institution rather than the patient.
However, if I believe that my lack of sleep, my personal stressors, or any other distraction will significantly hinder my ability to perform the operation safely, then I should not simply disclose these issues to the patient. Rather, I should explain why I should NOT be doing the surgery and either postpone the case or find someone else to do it if the patient requests this and if it is possible. Although some commentators have suggested that a sleep-deprived surgeon is the worst person to be able to assess his or her abilities to optimally perform an operation, I am convinced that we need to depend on the surgeon to make this assessment. Three central required components of professionalism are the exercise of self-regulation, the capacity to make decisions that are altruistic, and the discipline to abide by ethical standards. The issue of self-regulation is absolutely critical to the professionalism of any surgeon. The professionalism of the surgeon is the basis for patients trusting us to operate on them and make decisions in the operating room on their behalf. To mandate a separate disclosure to the patient about the amount of sleep the surgeon got the night before, or any other distracting issue, would be to cast doubt on the professionalism of the surgeon at the very time that patients most need to trust their surgeons.
Dr. Angelos is an ACS Fellow; the Linda Kohler Anderson Professor of Surgery and Surgical Ethics; chief, endocrine surgery; and associate director of the MacLean Center for Clinical Medical Ethics at the University of Chicago.
This morning I had the usual 7:30 a.m. elective surgical case scheduled. As I usually do, I went to see my patient at around 7 a.m. to review the procedure, answer any new questions that may have come up, and mark the incision site. My patient greeted me very cheerfully with the following questions, "How was your night? Did you sleep OK? Are you feeling good this morning? No arguments at home, I hope?" I readily answered, as I almost always do, when discussing things with patients in the preop area, that I am feeling good and ready for things to go well with the case.
I have been asked such questions many times over the years. However, for some reason the interchange with my patient this morning raised additional questions for me: Is it really acceptable for patients to ask such questions? Do I have an obligation to disclose such things? Do patients really want to know the answers or are they simply making nervous conversation?
In recent years, there have been a number of articles questioning whether surgeons should be required to disclose a lack of sleep to their elective surgical patients so that the patient can make a "truly informed" decision about what the risks of their surgery are. Thus far, there have been no such requirements at any hospital in the United States that I know of. But my patient’s questions raised a number of practical issues for me with such disclosure. We had already had a conversation in my office when I originally obtained consent for the procedure. I had carefully reviewed risks, benefits, and alternatives to the operation, and I had answered a list of the patient’s questions. Since I was actually the patient’s third opinion, it was clear that the patient already had significant background knowledge about the operation. The patient had signed the consent form before leaving my office.
At some point, before, during, or after my conversation with the patient, he had decided to trust me enough to allow me to do the operation. Subsequently, while home in the days prior to the surgery date, the patient had the opportunity to change his mind, but he actually came to the hospital on the morning of surgery. He had thus actively expressed his confidence in me by showing up for surgery. In this context, I believe that the patient’s questions were really a friendly way of expressing some degree of anxiety about the operation rather than an actual second guessing of my capacity to optimally perform the surgery. In this context, I believe that it is more important that I try to alleviate the patient’s concerns than that I give an expansive discourse on whatever stressful issues may be going on in my personal life.
Of particular importance is the issue of how much I have slept. I do not believe that I should discuss any concerns I may have with lack of sleep with my patient unless I have decided that I am not the best person to perform the surgery. I do not think that I would be doing my patient a service by, for example, saying that I didn’t sleep well and studies show that I might have altered judgment and asking the patient to sign a document that I have disclosed this fact. Such a disclosure seems to be designed to protect the surgeon and the institution rather than the patient.
However, if I believe that my lack of sleep, my personal stressors, or any other distraction will significantly hinder my ability to perform the operation safely, then I should not simply disclose these issues to the patient. Rather, I should explain why I should NOT be doing the surgery and either postpone the case or find someone else to do it if the patient requests this and if it is possible. Although some commentators have suggested that a sleep-deprived surgeon is the worst person to be able to assess his or her abilities to optimally perform an operation, I am convinced that we need to depend on the surgeon to make this assessment. Three central required components of professionalism are the exercise of self-regulation, the capacity to make decisions that are altruistic, and the discipline to abide by ethical standards. The issue of self-regulation is absolutely critical to the professionalism of any surgeon. The professionalism of the surgeon is the basis for patients trusting us to operate on them and make decisions in the operating room on their behalf. To mandate a separate disclosure to the patient about the amount of sleep the surgeon got the night before, or any other distracting issue, would be to cast doubt on the professionalism of the surgeon at the very time that patients most need to trust their surgeons.
Dr. Angelos is an ACS Fellow; the Linda Kohler Anderson Professor of Surgery and Surgical Ethics; chief, endocrine surgery; and associate director of the MacLean Center for Clinical Medical Ethics at the University of Chicago.
This morning I had the usual 7:30 a.m. elective surgical case scheduled. As I usually do, I went to see my patient at around 7 a.m. to review the procedure, answer any new questions that may have come up, and mark the incision site. My patient greeted me very cheerfully with the following questions, "How was your night? Did you sleep OK? Are you feeling good this morning? No arguments at home, I hope?" I readily answered, as I almost always do, when discussing things with patients in the preop area, that I am feeling good and ready for things to go well with the case.
I have been asked such questions many times over the years. However, for some reason the interchange with my patient this morning raised additional questions for me: Is it really acceptable for patients to ask such questions? Do I have an obligation to disclose such things? Do patients really want to know the answers or are they simply making nervous conversation?
In recent years, there have been a number of articles questioning whether surgeons should be required to disclose a lack of sleep to their elective surgical patients so that the patient can make a "truly informed" decision about what the risks of their surgery are. Thus far, there have been no such requirements at any hospital in the United States that I know of. But my patient’s questions raised a number of practical issues for me with such disclosure. We had already had a conversation in my office when I originally obtained consent for the procedure. I had carefully reviewed risks, benefits, and alternatives to the operation, and I had answered a list of the patient’s questions. Since I was actually the patient’s third opinion, it was clear that the patient already had significant background knowledge about the operation. The patient had signed the consent form before leaving my office.
At some point, before, during, or after my conversation with the patient, he had decided to trust me enough to allow me to do the operation. Subsequently, while home in the days prior to the surgery date, the patient had the opportunity to change his mind, but he actually came to the hospital on the morning of surgery. He had thus actively expressed his confidence in me by showing up for surgery. In this context, I believe that the patient’s questions were really a friendly way of expressing some degree of anxiety about the operation rather than an actual second guessing of my capacity to optimally perform the surgery. In this context, I believe that it is more important that I try to alleviate the patient’s concerns than that I give an expansive discourse on whatever stressful issues may be going on in my personal life.
Of particular importance is the issue of how much I have slept. I do not believe that I should discuss any concerns I may have with lack of sleep with my patient unless I have decided that I am not the best person to perform the surgery. I do not think that I would be doing my patient a service by, for example, saying that I didn’t sleep well and studies show that I might have altered judgment and asking the patient to sign a document that I have disclosed this fact. Such a disclosure seems to be designed to protect the surgeon and the institution rather than the patient.
However, if I believe that my lack of sleep, my personal stressors, or any other distraction will significantly hinder my ability to perform the operation safely, then I should not simply disclose these issues to the patient. Rather, I should explain why I should NOT be doing the surgery and either postpone the case or find someone else to do it if the patient requests this and if it is possible. Although some commentators have suggested that a sleep-deprived surgeon is the worst person to be able to assess his or her abilities to optimally perform an operation, I am convinced that we need to depend on the surgeon to make this assessment. Three central required components of professionalism are the exercise of self-regulation, the capacity to make decisions that are altruistic, and the discipline to abide by ethical standards. The issue of self-regulation is absolutely critical to the professionalism of any surgeon. The professionalism of the surgeon is the basis for patients trusting us to operate on them and make decisions in the operating room on their behalf. To mandate a separate disclosure to the patient about the amount of sleep the surgeon got the night before, or any other distracting issue, would be to cast doubt on the professionalism of the surgeon at the very time that patients most need to trust their surgeons.
Dr. Angelos is an ACS Fellow; the Linda Kohler Anderson Professor of Surgery and Surgical Ethics; chief, endocrine surgery; and associate director of the MacLean Center for Clinical Medical Ethics at the University of Chicago.