Literature DB >> 23604016

Comparing 2 methods of assessing 30-day readmissions: what is the impact on hospital profiling in the veterans health administration?

Hillary J Mull1, Qi Chen, William J O'Brien, Michael Shwartz, Ann M Borzecki, Amresh Hanchate, Amy K Rosen.   

Abstract

BACKGROUND: The Centers for Medicare and Medicaid Services' (CMS) all-cause readmission measure and the 3M Health Information System Division Potentially Preventable Readmissions (PPR) measure are both used for public reporting. These 2 methods have not been directly compared in terms of how they identify high-performing and low-performing hospitals.
OBJECTIVES: To examine how consistently the CMS and PPR methods identify performance outliers, and explore how the PPR preventability component impacts hospital readmission rates, public reporting on CMS' Hospital Compare website, and pay-for-performance under CMS' Hospital Readmission Reduction Program for 3 conditions (acute myocardial infarction, heart failure, and pneumonia).
METHODS: We applied the CMS all-cause model and the PPR software to VA administrative data to calculate 30-day observed FY08-10 VA hospital readmission rates and hospital profiles. We then tested the effect of preventability on hospital readmission rates and outlier identification for reporting and pay-for-performance by replacing the dependent variable in the CMS all-cause model (Yes/No readmission) with the dichotomous PPR outcome (Yes/No preventable readmission).
RESULTS: The CMS and PPR methods had moderate correlations in readmission rates for each condition. After controlling for all methodological differences but preventability, correlations increased to >90%. The assessment of preventability yielded different outlier results for public reporting in 7% of hospitals; for 30% of hospitals there would be an impact on Hospital Readmission Reduction Program reimbursement rates.
CONCLUSIONS: Despite uncertainty over which readmission measure is superior in evaluating hospital performance, we confirmed that there are differences in CMS-generated and PPR-generated hospital profiles for reporting and pay-for-performance, because of methodological differences and the PPR's preventability component.

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Mesh:

Year:  2013        PMID: 23604016      PMCID: PMC4557787          DOI: 10.1097/MLR.0b013e31829019a4

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  4 in total

1.  Hospital readmissions and the Affordable Care Act: paying for coordinated quality care.

Authors:  Robert P Kocher; Eli Y Adashi
Journal:  JAMA       Date:  2011-10-26       Impact factor: 56.272

Review 2.  Proportion of hospital readmissions deemed avoidable: a systematic review.

Authors:  Carl van Walraven; Carol Bennett; Alison Jennings; Peter C Austin; Alan J Forster
Journal:  CMAJ       Date:  2011-03-28       Impact factor: 8.262

3.  Readmission after hospitalization for congestive heart failure among Medicare beneficiaries.

Authors:  H M Krumholz; E M Parent; N Tu; V Vaccarino; Y Wang; M J Radford; J Hennen
Journal:  Arch Intern Med       Date:  1997-01-13

4.  Identifying potentially preventable readmissions.

Authors:  Norbert I Goldfield; Elizabeth C McCullough; John S Hughes; Ana M Tang; Beth Eastman; Lisa K Rawlins; Richard F Averill
Journal:  Health Care Financ Rev       Date:  2008
  4 in total
  11 in total

1.  A predictive analytics approach to reducing 30-day avoidable readmissions among patients with heart failure, acute myocardial infarction, pneumonia, or COPD.

Authors:  Issac Shams; Saeede Ajorlou; Kai Yang
Journal:  Health Care Manag Sci       Date:  2014-05-03

2.  Does Geographic Location Affect the Quality of Care? The Difference in Readmission Rates Between the Border and Non-Border Hospitals in Texas.

Authors:  Dong Yeong Shin; Jongwha Chang; Zo H Ramamonjiarivelo; Mar Medina
Journal:  Risk Manag Healthc Policy       Date:  2022-05-12

3.  Assessing preventability in the quest to reduce hospital readmissions.

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

4.  Thirty-Day Inpatient Readmissions for Asian American and Pacific Islander Subgroups Compared With Whites.

Authors:  Tetine Sentell; Hyeong Jun Ahn; Jill Miyamura; Deborah A Taira
Journal:  Med Care Res Rev       Date:  2016-11-11       Impact factor: 3.929

5.  Which Readmissions May Be Preventable? Lessons Learned From a Posthospitalization Care Transitions Program for High-risk Elders.

Authors:  Rozalina G McCoy; Stephanie M Peterson; Lynn S Borkenhagen; Paul Y Takahashi; Bjorg Thorsteinsdottir; Anupam Chandra; James M Naessens
Journal:  Med Care       Date:  2018-08       Impact factor: 2.983

6.  What is the impact of a clinically related readmission measure on the assessment of hospital performance?

Authors:  Roger K Khouri; Hechuan Hou; Apoorv Dhir; Juan J Andino; James M Dupree; David C Miller; Chad Ellimoottil
Journal:  BMC Health Serv Res       Date:  2017-11-28       Impact factor: 2.655

7.  Identification of outliers and positive deviants for healthcare improvement: looking for high performers in hypoglycemia safety in patients with diabetes.

Authors:  Brigid Wilson; Chin-Lin Tseng; Orysya Soroka; Leonard M Pogach; David C Aron
Journal:  BMC Health Serv Res       Date:  2017-11-16       Impact factor: 2.655

8.  Manual and automated methods for identifying potentially preventable readmissions: a comparison in a large healthcare system.

Authors:  Ana H Jackson; Emily Fireman; Paul Feigenbaum; Estee Neuwirth; Patricia Kipnis; Jim Bellows
Journal:  BMC Med Inform Decis Mak       Date:  2014-04-05       Impact factor: 2.796

Review 9.  Predictors of 30-day unplanned hospital readmission among adult patients with diabetes mellitus: a systematic review with meta-analysis.

Authors:  Jade Gek Sang Soh; Wai Pong Wong; Amartya Mukhopadhyay; Swee Chye Quek; Bee Choo Tai
Journal:  BMJ Open Diabetes Res Care       Date:  2020-08

10.  Outpatient Parenteral Therapy for Complicated Staphylococcus aureus Infections: A Snapshot of Processes and Outcomes in the Real World.

Authors:  Jennifer Townsend; Sara Keller; Martin Tibuakuu; Sameer Thakker; Bailey Webster; Maya Siegel; Kevin J Psoter; Omar Mansour; Trish M Perl
Journal:  Open Forum Infect Dis       Date:  2018-10-24       Impact factor: 3.835

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