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Impact of pediatric cardiac surgery regionalization on health care utilization and mortality
Author(s) -
SakaiBizmark Rie,
Mena Laurie A.,
Kumamaru Hiraku,
Kawachi Ichiro,
Marr Emily H.,
Webber Eliza J.,
Seo Hyun H.,
Friedlander Scott I. M.,
Chang RueyKang R.
Publication year - 2019
Publication title -
health services research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.706
H-Index - 121
eISSN - 1475-6773
pISSN - 0017-9124
DOI - 10.1111/1475-6773.13137
Subject(s) - medicine , cardiac surgery , odds ratio , emergency medicine , odds , volume (thermodynamics) , logistic regression , physics , quantum mechanics
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.