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Change Over Time in Hospital Care for Medicaid Beneficiaries

Analysis of Hospitalizations From 2016-2019

Bibliographic Data

ID9104521
AuthorsJacqueline Xu (0000-0003-0381-3552, Kaiser Permanente, corresponding author), Jeffrey D Hodis (0000-0002-5217-2483, Kaiser Permanente), Kary Calderon (Kaiser Permanente), Paul J Chung (0000-0002-7622-4719, Kaiser Permanente), Robert S Nocon (Kaiser Permanente)
Year2025
Volume63
Issue8
Pages573-578
Publication date2025-08-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000002124
PMID39820467
OpenAlexW4406497567
LanguageEN
References cited27

BACKGROUND: Historically, access to high-quality care has been a central challenge for Medicaid programs. Prior single-year analyses demonstrated that Medicaid beneficiaries account for disproportionately high patient volumes at low-quality hospitals. Given major Medicaid shifts including expansion and increased managed care, we examined recent trends in low-quality hospital use for Medicaid beneficiaries. METHODS: Using Healthcare Cost and Utilization Project State Inpatient Databases, we compiled adult hospital discharges from 15 states in years 2016-2019 (N=32,788,446). Hospital quality was assessed with the Agency for Healthcare Research and Quality (AHRQ) Composite Inpatient Quality Indicator, reflecting risk-adjusted mortality for prevalent conditions. We constructed a logistic regression modeling odds of discharge from a low-quality hospital (bottom 20 th percentile by year), with payer-year interactions and covariates for patient demographics (sex, age, race/ethnicity, income), comorbidities, state, and hospitalization type. RESULTS: Overall, patients with Medicaid [adjusted odds ratio (aOR)=1.11, P <0.01] or Medicare (aOR=1.03, P <0.01) were more likely to be hospitalized in low-quality hospitals, compared with private insurance (reference). The likelihood of admission to low-quality hospitals over time varied by payer. Patients insured by Medicaid were 2% less likely to be admitted to low-quality hospitals each additional year (aOR=0.98, P <0.01). Medicare-insured patients did not show significant changes longitudinally, and privately insured patients were 3% more likely to be admitted to low-quality hospitals each year (aOR=1.03, P <0.01). CONCLUSIONS: This is one of the first studies examining associations between payer and inpatient care quality over time, critical for our rapidly changing payment environment. Although Medicaid-insured patients remain more likely to be discharged from low-quality hospitals as compared with other payers, we find promising recent trends of improving hospital quality over time for Medicaid beneficiaries

Business · Ethnic group · Family medicine · Health care · Health care quality · Healthcare Cost and Utilization Project · Logistic regression · Medicaid · Odds · Odds ratio · Percentile · Quality management · Chronic Disease Management Strategies · Demography · Emergency Medicine · Healthcare Policy and Management · Internal Medicine · Medicine · Primary Care and Health Outcomes

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  • Comorbidity Measures for Use with Administrative Data

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