Skip to main content
Top
Published in: Journal of General Internal Medicine 1/2018

01-01-2018 | Original Research

Patterns of Hospital Performance on the Hospital-Wide 30-Day Readmission Metric: Is the Playing Field Level?

Authors: Erik H. Hoyer, MD, William V. Padula, PhD, MS, Daniel J. Brotman, MD, Natalie Reid, MPH, MBA, Curtis Leung, MPH, Diane Lepley, MHSM, Amy Deutschendorf, MS, RN

Published in: Journal of General Internal Medicine | Issue 1/2018

Login to get access

Abstract

Background

Hospital performance on the 30-day hospital-wide readmission (HWR) metric as calculated by the Centers for Medicare and Medicaid Services (CMS) is currently reported as a quality measure. Focusing on patient-level factors may provide an incomplete picture of readmission risk at the hospital level to explain variations in hospital readmission rates.

Objective

To evaluate and quantify hospital-level characteristics that track with hospital performance on the current HWR metric.

Design

Retrospective cohort study.

Setting/Patients

A total of 4785 US hospitals.

Metrics

We linked publically available data on individual hospitals published by CMS on patient-level adjusted 30-day HWR rates from July 1, 2011, through June 30, 2014, to the 2014 American Hospital Association annual survey. Primary outcome was performance in the worst CMS-calculated HWR quartile. Primary hospital-level exposure variables were defined as: size (total number of beds), safety net status (top quartile of disproportionate share), academic status [member of the Association of American Medical Colleges (AAMC)], National Cancer Institute Comprehensive Cancer Center (NCI-CCC) status, and hospital services offered (e.g., transplant, hospice, emergency department). Multilevel regression was used to evaluate the association between 30-day HWR and the hospital-level factors.

Results

Hospital-level characteristics significantly associated with performing in the worst CMS-calculated HWR quartile included: safety net status [adjusted odds ratio (aOR) 1.99, 95% confidence interval (95% CI) 1.61–2.45, p < 0.001], large size (> 400 beds, aOR 1.42, 95% CI 1.07–1.90, p = 0.016), AAMC alone status (aOR 1.95, 95% CI 1.35–2.83, p < 0.001), and AAMC plus NCI-CCC status (aOR 5.16, 95% CI 2.58–10.31, p < 0.001). Hospitals with more critical care beds (aOR 1.26, 95% CI 1.02–1.56, p = 0.033), those with transplant services (aOR 2.80, 95% CI 1.48–5.31,p = 0.001), and those with emergency room services (aOR 3.37, 95% CI 1.12–10.15, p = 0.031) demonstrated significantly worse HWR performance. Hospice service (aOR 0.64, 95% CI 0.50–0.82, p < 0.001) and having a higher proportion of total discharges being surgical cases (aOR 0.62, 95% CI 0.50–0.76, p < 0.001) were associated with better performance.

Limitation

The study approach was not intended to be an alternate readmission metric to compete with the existing CMS metric, which would require a re-examination of patient-level data combined with hospital-level data.

Conclusion

A number of hospital-level characteristics (such as academic tertiary care center status) were significantly associated with worse performance on the CMS-calculated HWR metric, which may have important health policy implications. Until the reasons for readmission variability can be addressed, reporting the current HWR metric as an indicator of hospital quality should be reevaluated.
Literature
2.
go back to reference Comprehensive methodology report (v2.0), a description of the overall hospital quality star rating methodology. Yale New Haven Health Services Corporation/Center for Outcomes Research & Evaluation (YNHHSC/CORE) [accessed at www.qualitynet.org on 12 Sept 2017]. May 2016. Comprehensive methodology report (v2.0), a description of the overall hospital quality star rating methodology. Yale New Haven Health Services Corporation/Center for Outcomes Research & Evaluation (YNHHSC/CORE) [accessed at www.​qualitynet.​org on 12 Sept 2017]. May 2016.
5.
go back to reference Normand SL, Shahian D. Statistical and clinical aspects of hospital outcomes profiling. Stat Sci. 2007;22(2):206-226.CrossRef Normand SL, Shahian D. Statistical and clinical aspects of hospital outcomes profiling. Stat Sci. 2007;22(2):206-226.CrossRef
6.
go back to reference Kansagara D, Englander H, Salanitro A, et al. Risk prediction models for hospital readmission: A systematic review. JAMA. 2011;306(15):1688-1698.CrossRef Kansagara D, Englander H, Salanitro A, et al. Risk prediction models for hospital readmission: A systematic review. JAMA. 2011;306(15):1688-1698.CrossRef
10.
go back to reference Hedeker D, Gibbons R. Longitudinal Data Analysis. Hoboken, NJ: John Wiley & Sons Inc; 2006. Hedeker D, Gibbons R. Longitudinal Data Analysis. Hoboken, NJ: John Wiley & Sons Inc; 2006.
18.
go back to reference Snijders T, Bosker R. Multilevel Analysis: an Introduction to Basic and Advanced Multilevel Modeling. 2nd ed. Los Angeles, CA: Sage Publications; 2012. Snijders T, Bosker R. Multilevel Analysis: an Introduction to Basic and Advanced Multilevel Modeling. 2nd ed. Los Angeles, CA: Sage Publications; 2012.
19.
go back to reference James G, Witten D, Hastie T, Tibshirani R. An Introduction to Statistical Learning. New York, NY: Springer; 2013.CrossRef James G, Witten D, Hastie T, Tibshirani R. An Introduction to Statistical Learning. New York, NY: Springer; 2013.CrossRef
21.
go back to reference Ashton CM, Del Junco DJ, Souchek J, Wray NP, Mansyur CL. The association between the quality of inpatient care and early readmission: A meta-analysis of the evidence. Med Care. 1997:1044-1059. Ashton CM, Del Junco DJ, Souchek J, Wray NP, Mansyur CL. The association between the quality of inpatient care and early readmission: A meta-analysis of the evidence. Med Care. 1997:1044-1059.
24.
go back to reference Hughes RG, Hunt SS, Luft HS. Effects of surgeon volume and hospital volume on quality of care in hospitals. Med Care. 1987;25(6):489-503.CrossRef Hughes RG, Hunt SS, Luft HS. Effects of surgeon volume and hospital volume on quality of care in hospitals. Med Care. 1987;25(6):489-503.CrossRef
28.
go back to reference Loux SL, Payne SMC, Knott A. Comparing patient safety in rural hospitals by bed count. In: Henriksen K, Battles JB, Marks ES, Lewin DI, eds. Advances in Patient Safety: From Research to Implementation (volume 1: Research findings). Rockville (MD):; 2005. NBK20441 [bookaccession]. Loux SL, Payne SMC, Knott A. Comparing patient safety in rural hospitals by bed count. In: Henriksen K, Battles JB, Marks ES, Lewin DI, eds. Advances in Patient Safety: From Research to Implementation (volume 1: Research findings). Rockville (MD):; 2005. NBK20441 [bookaccession].
29.
go back to reference Kahn JM, Goss CH, Heagerty PJ, Kramer AA, O’Brien CR, Rubenfeld GD. Hospital volume and the outcomes of mechanical ventilation. N Engl J Med. 2006;355(1):41-50.CrossRef Kahn JM, Goss CH, Heagerty PJ, Kramer AA, O’Brien CR, Rubenfeld GD. Hospital volume and the outcomes of mechanical ventilation. N Engl J Med. 2006;355(1):41-50.CrossRef
30.
go back to reference Ayanian JZ, Weissman JS. Teaching hospitals and quality of care: a review of the literature. Milbank Q. 2002;80(3):569-93, v.CrossRef Ayanian JZ, Weissman JS. Teaching hospitals and quality of care: a review of the literature. Milbank Q. 2002;80(3):569-93, v.CrossRef
31.
go back to reference Vogt WB, Town R, Williams CH. How has hospital consolidation affected the price and quality of hospital care? Synth Proj Res Synth Rep. 2006;(9). Vogt WB, Town R, Williams CH. How has hospital consolidation affected the price and quality of hospital care? Synth Proj Res Synth Rep. 2006;(9).
35.
go back to reference Papanikolaou PN, Christidi GD, Ioannidis JP. Patient outcomes with teaching versus nonteaching healthcare: A systematic review. PLoS Med. 2006;3(9):e341.CrossRef Papanikolaou PN, Christidi GD, Ioannidis JP. Patient outcomes with teaching versus nonteaching healthcare: A systematic review. PLoS Med. 2006;3(9):e341.CrossRef
37.
go back to reference Rep. Upton F[. 21st century cures act.. 05/19/2015(114th Congress):2015–2016. Rep. Upton F[. 21st century cures act.. 05/19/2015(114th Congress):2015–2016.
38.
go back to reference Hong R, Baumann BM, Boudreaux ED. The emergency department for routine healthcare: Race/ethnicity, socioeconomic status, and perceptual factors. J Emerg Med. 2007;32(2):149-158.CrossRef Hong R, Baumann BM, Boudreaux ED. The emergency department for routine healthcare: Race/ethnicity, socioeconomic status, and perceptual factors. J Emerg Med. 2007;32(2):149-158.CrossRef
41.
go back to reference Hansen LO, Young RS, Hinami K, Leung A, Williams MV. Interventions to reduce 30-day rehospitalization: a systematic review. Ann Intern Med. 2011;155(8):520-528. Accessed Jan 15 2015.CrossRef Hansen LO, Young RS, Hinami K, Leung A, Williams MV. Interventions to reduce 30-day rehospitalization: a systematic review. Ann Intern Med. 2011;155(8):520-528. Accessed Jan 15 2015.CrossRef
42.
go back to reference Daly MC, Duncan GJ, McDonough P, Williams DR. Optimal indicators of socioeconomic status for health research. Am J Public Health. 2002;92(7):1151-1157.CrossRef Daly MC, Duncan GJ, McDonough P, Williams DR. Optimal indicators of socioeconomic status for health research. Am J Public Health. 2002;92(7):1151-1157.CrossRef
43.
go back to reference Knighton AJ, Savitz L, Belnap T, Stephenson B, VanDerslice J. Introduction of an area deprivation index measuring patient socioeconomic status in an integrated health system: implications for population health. EGEMS (Wash DC). 2016;4(3):1238–9214.1238. eCollection 2016. 10.13063/2327-9214.1238.CrossRef Knighton AJ, Savitz L, Belnap T, Stephenson B, VanDerslice J. Introduction of an area deprivation index measuring patient socioeconomic status in an integrated health system: implications for population health. EGEMS (Wash DC). 2016;4(3):1238–9214.1238. eCollection 2016. 10.​13063/​2327-9214.​1238.CrossRef
Metadata
Title
Patterns of Hospital Performance on the Hospital-Wide 30-Day Readmission Metric: Is the Playing Field Level?
Authors
Erik H. Hoyer, MD
William V. Padula, PhD, MS
Daniel J. Brotman, MD
Natalie Reid, MPH, MBA
Curtis Leung, MPH
Diane Lepley, MHSM
Amy Deutschendorf, MS, RN
Publication date
01-01-2018
Publisher
Springer US
Published in
Journal of General Internal Medicine / Issue 1/2018
Print ISSN: 0884-8734
Electronic ISSN: 1525-1497
DOI
https://doi.org/10.1007/s11606-017-4193-9

Other articles of this Issue 1/2018

Journal of General Internal Medicine 1/2018 Go to the issue
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.