Dataset Information

Assessing the utility of ICU readmissions as a quality metric: an analysis of changes mediated by residency work-hour reforms.

ABSTRACT:

Background

ICU readmissions are associated with increased mortality and costs; however, it is unclear whether these outcomes are caused by readmissions or by residual confounding by illness severity. An assessment of temporal changes in ICU readmission in response to a specific policy change could help disentangle these possibilities. We sought to determine whether ICU readmission rates changed after 2003 Accreditation Council for Graduate Medical Education Resident Duty Hours reform ("reform") and whether there were temporally corresponding changes in other ICU outcomes.

Methods

We used a difference-in-differences approach using Project IMPACT (Improved Methods of Patient Information Access of Core Clinical Tasks). Piecewise regression models estimated changes in outcomes immediately before and after reform in 274,491 critically ill medical and surgical patients in 151 community and academic US ICUs. Outcome measures included ICU readmission, ICU mortality, and in-hospital post-ICU-discharge mortality.

Results

In ICUs with residents, ICU readmissions increased before reform (OR, 1.5; 95% CI, 1.22-1.84; P < .01), and decreased after (OR, 0.85; 95% CI, 0.73-0.98; P = .03). This abrupt decline in ICU readmissions after reform differed significantly from an increase in readmissions observed in ICUs without residents at this time (difference-in-differences P < .01). No comparable changes in mortality were observed between ICUs with vs without residents.

Conclusions

The changes in ICU readmission rates after reform, without corresponding changes in mortality, suggest that ICU readmissions are not causally related to other untoward patient outcomes. Instead, ICU readmission rates likely reflect operational aspects of care that are not patient-centered, making them less useful indicators of ICU quality.

SUBMITTER: Brown SES

PROVIDER: S-EPMC4347531 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature

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Publications

Assessing the utility of ICU readmissions as a quality metric: an analysis of changes mediated by residency work-hour reforms.

Brown Sydney E S SES Ratcliffe Sarah J SJ Halpern Scott D SD

Chest 20150301 3

<h4>Background</h4>ICU readmissions are associated with increased mortality and costs; however, it is unclear whether these outcomes are caused by readmissions or by residual confounding by illness severity. An assessment of temporal changes in ICU readmission in response to a specific policy change could help disentangle these possibilities. We sought to determine whether ICU readmission rates changed after 2003 Accreditation Council for Graduate Medical Education Resident Duty Hours reform ("r ...[more]

PMID: 25393027

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Project description:Patient outcomes associated with the 2011 Accreditation Council for Graduate Medical Education (ACGME) duty hour reforms have not been evaluated at a national level.To evaluate the association of the 2011 ACGME duty hour reforms with mortality and readmissions.Observational study of Medicare patient admissions (6,384,273 admissions from 2,790,356 patients) to short-term, acute care, nonfederal hospitals (n?=?3104) with principal medical diagnoses of acute myocardial infarction, stroke, gastrointestinal bleeding, or congestive heart failure or a Diagnosis Related Group classification of general, orthopedic, or vascular surgery. Of the hospitals, 96 (3.1%) were very major teaching, 138 (4.4%) major teaching, 442 (14.2%) minor teaching, 443 (14.3%) very minor teaching, and 1985 (64.0%) nonteaching.Resident-to-bed ratio as a continuous measure of hospital teaching intensity.Change in 30-day all-location mortality and 30-day all-cause readmission, comparing patients in more intensive relative to less intensive teaching hospitals before (July 1, 2009-June 30, 2011) and after (July 1, 2011-June 30, 2012) duty hour reforms, adjusting for patient comorbidities, time trends, and hospital site.In the 2 years before duty hour reforms, there were 4,325,854 admissions with 288,422 deaths and 602,380 readmissions. In the first year after the reforms, accounting for teaching hospital intensity, there were 2,058,419 admissions with 133,547 deaths and 272,938 readmissions. There were no significant postreform differences in mortality accounting for teaching hospital intensity for combined medical conditions (odds ratio [OR], 1.00; 95% CI, 0.96-1.03), combined surgical categories (OR, 0.99; 95% CI, 0.94-1.04), or any of the individual medical conditions or surgical categories. There were no significant postreform differences in readmissions for combined medical conditions (OR, 1.00; 95% CI, 0.97-1.02) or combined surgical categories (OR, 1.00; 95% CI, 0.98-1.03). For the medical condition of stroke, there were higher odds of readmissions in the postreform period (OR, 1.06; 95% CI, 1.001-1.13). However, this finding was not supported by sensitivity analyses and there were no significant postreform differences for readmissions for any other individual medical condition or surgical category.Among Medicare beneficiaries, there were no significant differences in the change in 30-day mortality rates or 30-day all-cause readmission rates for those hospitalized in more intensive relative to less intensive teaching hospitals in the year after implementation of the 2011 ACGME duty hour reforms compared with those hospitalized in the 2 years before implementation.

Project description:ObjectiveTo determine whether 30 day mortality, 30 day readmissions, and inpatient spending vary according to whether physicians were exposed to work hour reforms during their residency.DesignRetrospective observational study.SettingUS Medicare.Participants20% random sample (n=485 685) of Medicare beneficiaries aged 65 years or more admitted to hospital and treated by a general internist during 2000-12.Main outcome measures30 day mortality, 30 day readmissions, and inpatient Medicare Part B spending among patients treated by first year internists who were fully exposed to the 2003 Accreditation Council for Graduate Medical Education (ACGME) work hour reforms during their residency (completed residency after 2006) compared with first year internists with partial or no exposure to reforms (completed residency before 2006). Senior internists not exposed to reforms during their residency served as a control group (10th year internists) for general trends in hospital care: a difference-in-difference analysis.ResultsExposure of physicians to work hour reforms during their residency was not associated with statistically significant differences in 30 day mortality, 30 day readmissions, or inpatient spending. Among 485 685 hospital admissions, 30 day mortality rates during 2000-06 and 2007-12 for patients of first year internists were 10.6% (12 567 deaths/118 014 hospital admissions) and 9.6% (13 521/140 529), respectively, and for 10th year internists were 11.2% (11 018/98 811) and 10.6% (13 602/128 331), for an adjusted difference-in-difference effect of -0.1 percentage points (95% confidence interval -0.8% to 0.6%, P=0.68). 30 day readmission rates for first year internists during 2000-06 and 2007-12 were 20.4% (24 074/118 014) and 20.4% (28 689/140 529), respectively, and for 10th year internists were 20.1% (19 840/98 811) and 20.5% (26 277/128 331), for an adjusted difference-in-difference effect of 0.1 percentage points (-0.9% to 1.1%, P=0.87). Medicare Part B inpatient spending for first year internists during 2000-06 and 2007-12 was $1161 (£911; €1024) and $1267 per hospital admission, respectively, and for 10th year internists was $1331 and $1599, for an adjusted difference-in-difference effect of -$46 (95% confidence interval -$94 to $2, P=0.06).ConclusionsExposure of internists to work hour reforms during their residency was not associated with post-training differences in patient mortality, readmissions, or costs of care.

Project description:BACKGROUND: Few studies have systematically and rigorously examined the quality of care provided in educational practice sites. OBJECTIVE: The objectives of this study were to (1) describe the patient population cared for by trainees in internal medicine residency clinics; (2) assess the quality of preventive cardiology care provided to these patients; (3) characterize the practice-based systems that currently exist in internal medicine residency clinics; and (4) examine the relationships between quality, practice-based systems, and features of the program: size, type of program, and presence of an electronic medical record. DESIGN: This is a cross-sectional observational study. SETTING: This study was conducted in 15 Internal Medicine residency programs (23 sites) throughout the USA. PARTICIPANTS: The participants included site champions at residency programs and 709 residents. MEASUREMENTS: Abstracted charts provided data about patient demographics, coronary heart disease risk factors, processes of care, and clinical outcomes. Patients completed surveys regarding satisfaction. Site teams completed a practice systems survey. RESULTS: Chart abstraction of 4,783 patients showed substantial variability across sites. On average, patients had between 3 and 4 of the 9 potential risk factors for coronary heart disease, and approximately 21% had at least 1 important barrier of care. Patients received an average of 57% (range, 30-77%) of the appropriate interventions. Reported satisfaction with care was high. Sites with an electronic medical record showed better overall information management (81% vs 27%) and better modes of communication (79% vs 43%). CONCLUSIONS: This study has provided insight into the current state of practice in residency sites including aspects of the practice environment and quality of preventive cardiology care delivered. Substantial heterogeneity among the training sites exists. Continuous measurement of the quality of care provided and a better understanding of the training environment in which this care is delivered are important goals for delivering high quality patient care.

Project description:BackgroundVariation in intensive care unit (ICU) readmissions and in-hospital mortality after ICU discharge may indicate potential for improvement and could be explained by ICU discharge practices. Our objective was threefold: (1) describe variation in rates of ICU readmissions within 48 h and post-ICU in-hospital mortality, (2) describe ICU discharge practices in Dutch hospitals, and (3) study the association between rates of ICU readmissions within 48 h and post-ICU in-hospital mortality and ICU discharge practices.MethodsWe analysed data on 42,040 admissions to 82 (91.1%) Dutch ICUs in 2011 from the Dutch National Intensive Care Evaluation (NICE) registry to describe variation in standardized ICU readmission and post-ICU mortality rates using funnel-plots. We send a questionnaire to all Dutch ICUs. 75 ICUs responded and their questionnaire data could be linked to 38,498 admissions in the NICE registry. Generalized estimation equations analyses were used to study the association between ICU readmissions and post-ICU mortality rates and the identified discharge practices, i.e. (1) ICU discharge criteria; (2) bed managers; (3) early discharge planning; (4) step-down facilities; (5) medication reconciliation; (6) verbal and written handover; (7) monitoring of post-ICU patients; and (8) consulting ICU nurses. In all analyses, the outcomes were corrected for patient-related confounding factors.ResultsThe standardized rate of ICU readmissions varied between 0.14 and 2.67 and 20.8% of the hospitals fell outside the 95% control limits and 3.6% outside the 99.8% control limits. The standardized rate of post-ICU mortality varied between 0.07 and 2.07 and 17.1% of the hospitals fell outside the 95% control limits and 4.9% outside the 99.8% control limits. We could not demonstrate an association between the eight ICU discharge practices and rates of ICU readmissions or post-ICU in-hospital mortality. Implementing a higher number of ICU discharge practices was also not associated with better patient outcomes.ConclusionsWe found both variation in patient outcomes and variation in ICU discharge practices between ICUs. However, we found no association between discharge practices and rates of ICU readmissions or post-ICU mortality. Further research is necessary to find factors, which may influence these patient outcomes, in order to improve quality of care.

Dataset Information

Assessing the utility of ICU readmissions as a quality metric: an analysis of changes mediated by residency work-hour reforms.

Background

Methods

Results

Conclusions

Publications

Assessing the utility of ICU readmissions as a quality metric: an analysis of changes mediated by residency work-hour reforms.

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