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Health Serv Res ; 54(4): 890-901, 2019 08.
Article in English | MEDLINE | ID: mdl-30916392

ABSTRACT

OBJECTIVE: Regionalization directs patients to high-volume hospitals for specialized care. We investigated regionalization trends and outcomes in pediatric cardiac surgery. DATA SOURCES/STUDY SETTING: Statewide inpatient data from eleven states between 2000 and 2012. STUDY DESIGN: Mortality, length of stay (LOS), and cost were assessed using multivariable hierarchical regression with state and year fixed effects. Primary predictor was hospital case-volume, categorized into low-, medium-, and high-volume tertiles. DATA COLLECTION/EXTRACTION METHODS: We used Risk Adjustment for Congenital Heart Surgery-1 (RACHS-1) to select pediatric cardiac surgery discharges. PRINCIPAL FINDINGS: In total, 2841 (8.5 percent), 8348 (25.1 percent), and 22 099 (66.4 percent) patients underwent heart surgeries in low-, medium-, and high-volume hospitals. Mortality decreased over time, but remained higher in low- and medium-volume hospitals. High-volume hospitals had lower odds of mortality and cost than low-volume hospitals (odds ratio [OR] 0.59, P < 0.01, and relative risk [RR] 0.91, P < 0.01, respectively). LOS was longer for high- and medium-volume hospitals, compared to low-volume hospitals (high-volume: RR 1.18, P < 0.01; medium-volume: RR 1.05, P < 0.01). CONCLUSIONS: Regionalization reduced mortality and cost, indicating fewer complications, but paradoxically increased LOS. Further research is needed to explore the full impact on health care utilization.


Subject(s)
Heart Defects, Congenital/surgery , Hospital Mortality/trends , Hospitals, High-Volume/statistics & numerical data , Patient Acceptance of Health Care/statistics & numerical data , Regional Medical Programs/statistics & numerical data , Adolescent , Cardiac Surgical Procedures/economics , Cardiac Surgical Procedures/mortality , Cardiac Surgical Procedures/statistics & numerical data , Child , Child, Preschool , Female , Hospitals, Low-Volume/statistics & numerical data , Humans , Infant , Infant, Newborn , Length of Stay , Male , Postoperative Complications/epidemiology , Regional Medical Programs/economics , Risk Adjustment , Risk Factors , Time Factors , United States
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