Literature DB >> 32352868

Effect of a Medicaid Accountable Care Collaborative on 30-Day Hospital Readmission Rates.

Martha L Meyer1, Adam Atherly2.   

Abstract

Hospital readmission within 30 days is undesirable and costly. Most programs and studies have focused on the Medicare population and readmission prevention through discharge planning; less is understood about how Medicaid might reduce readmissions to improve outcomes and control program costs. The objective of this study was to estimate the relationship between the Colorado Medicaid Accountable Care Collaborative (ACC) and 30-day hospital readmission rates. A difference-in-differences design was used to compare 30-day readmissions before and after Medicaid members were enrolled in the ACC program using 2 different control groups: Medicaid members not enrolled and commercially insured. The authors used Probit regressions at the hospital level, controlling for patient characteristics, and clustered errors at the provider level. The study sample included Colorado adults ages 19-64 with qualifying hospital discharge. Analysis data included Medicaid and commercial payer administrative claims data (2009-2015) from Colorado's All-Payer Claims Database. The ACC program significantly reduced 30-day readmissions among Colorado Medicaid patients. Participation in the ACC program reduced the probability of a 30-day readmission by 1.4% (P < 0.001), with the largest effect among maternity and delivery patients. Because the majority of Medicaid members are female, even after Medicaid expansion, and Medicaid covers a disproportionate share of complex births, maternity and delivery readmissions are a fruitful area for reducing Medicaid expenditures. To reduce readmissions, Medicaid programs will need to develop interventions specific to their populations.

Entities:  

Keywords:  30-day readmission; Medicaid; care coordination

Year:  2020        PMID: 32352868     DOI: 10.1089/pop.2019.0241

Source DB:  PubMed          Journal:  Popul Health Manag        ISSN: 1942-7891            Impact factor:   2.459


  1 in total

1.  Potential of community-based risk estimates for improving hospital performance measures and discharge planning.

Authors:  Michael Reid; George Kephart; Pantelis Andreou; Alysia Robinson
Journal:  BMJ Open Qual       Date:  2021-04
  1 in total

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