BACKGROUND: The Centers for Medicare & Medicaid Services (CMS) readmission measure is based on all-cause readmissions to any hospital within 30 days of discharge. Whether a measure based on same-hospital readmission, an outcome that is easier for hospitals and some systems to track, could serve as a proxy for the all-hospital measure is not known. OBJECTIVES: Evaluate whether same-hospital readmission rate is a good surrogate for all-hospital readmission rate. RESEARCH DESIGN: The study population was derived from the Medicare inpatient, outpatient, and carrier (physician) Standard Analytic Files. Thirty-day risk-standardized readmission rates (RSRRs) for heart failure (HF) for both all-hospital readmission and same-hospital readmission were assessed by using hierarchical logistic regression models. SUBJECTS: The sample consisted of 501,234 hospitalizations in 4674 hospitals with at least 1 hospitalization. MEASURES: Thirty-day readmission was defined as occurrence of at least 1 hospitalization in any US acute care hospital for any cause within 30 days of discharge after an index hospitalization. Same-hospital readmission was considered if the patient was admitted to the hospital that produced the original discharge within 30 days. RESULTS: Overall, 80.9% of all HF readmissions occurred in the same- hospital, whereas 19.1% of readmissions occurred in a different hospital. The mean difference between all- versus same-hospital RSRR was 4.7 +/- 1.0%, ranging from 0.9% to 10.5% across these hospitals with 25th, 50th, and 75th percentiles of 4.1%, 4.7%, and 5.2%, respectively, and was variable across the range of average RSRR. CONCLUSION: Same-hospital readmission rate is an unreliable and biased indicator of all-hospital readmission rate with limited value as a benchmark for quality of care processes.
BACKGROUND: The Centers for Medicare & Medicaid Services (CMS) readmission measure is based on all-cause readmissions to any hospital within 30 days of discharge. Whether a measure based on same-hospital readmission, an outcome that is easier for hospitals and some systems to track, could serve as a proxy for the all-hospital measure is not known. OBJECTIVES: Evaluate whether same-hospital readmission rate is a good surrogate for all-hospital readmission rate. RESEARCH DESIGN: The study population was derived from the Medicare inpatient, outpatient, and carrier (physician) Standard Analytic Files. Thirty-day risk-standardized readmission rates (RSRRs) for heart failure (HF) for both all-hospital readmission and same-hospital readmission were assessed by using hierarchical logistic regression models. SUBJECTS: The sample consisted of 501,234 hospitalizations in 4674 hospitals with at least 1 hospitalization. MEASURES: Thirty-day readmission was defined as occurrence of at least 1 hospitalization in any US acute care hospital for any cause within 30 days of discharge after an index hospitalization. Same-hospital readmission was considered if the patient was admitted to the hospital that produced the original discharge within 30 days. RESULTS: Overall, 80.9% of all HF readmissions occurred in the same- hospital, whereas 19.1% of readmissions occurred in a different hospital. The mean difference between all- versus same-hospital RSRR was 4.7 +/- 1.0%, ranging from 0.9% to 10.5% across these hospitals with 25th, 50th, and 75th percentiles of 4.1%, 4.7%, and 5.2%, respectively, and was variable across the range of average RSRR. CONCLUSION: Same-hospital readmission rate is an unreliable and biased indicator of all-hospital readmission rate with limited value as a benchmark for quality of care processes.
Authors: William J O'Brien; Qi Chen; Hillary J Mull; Michael Shwartz; Ann M Borzecki; Amresh Hanchate; Amy K Rosen Journal: Health Serv Res Date: 2014-07-15 Impact factor: 3.402
Authors: Julia G Lavenberg; Brian Leas; Craig A Umscheid; Kendal Williams; David R Goldmann; Sunil Kripalani Journal: J Hosp Med Date: 2014-06-25 Impact factor: 2.960
Authors: David Yu Greenblatt; Caprice C Greenberg; Amy J H Kind; Jeffrey A Havlena; Matthew W Mell; Matthew T Nelson; Maureen A Smith; K Craig Kent Journal: Ann Surg Date: 2012-10 Impact factor: 12.969
Authors: Jay G Berry; Sara L Toomey; Alan M Zaslavsky; Ashish K Jha; Mari M Nakamura; David J Klein; Jeremy Y Feng; Shanna Shulman; Vincent W Chiang; Vincent K Chiang; William Kaplan; Matt Hall; Mark A Schuster Journal: JAMA Date: 2013-01-23 Impact factor: 56.272