ArticleHealth services research2024
Performance of health care service area definitions for capturing variation in inpatient care and social determinants of health.
Article in Health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- Community Characteristics Associated With Health System Penetration.Medical care research and review : MCRR · 2026Article
- Rural Hospital Closures and Mortality From Time-Sensitive Conditions in Texas.JAMA network open · 2026Article
- Development of an Atlas for US Pediatric Acute Care.JAMA pediatrics · 2026Article
- Supply-demand governance of hierarchical healthcare systems: mobile big data unveils non-random patient flow patterns and the bypass premium in cities.Frontiers in public health · 2026Article
- Variation, Overlap, and Stability in Defining Safety Net Hospitals.JAMA network open · 2025Article
- Performance of health care service area definitions for capturing variation in inpatient care and social determinants of health.Health services research · 2024Article
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Authors and funding
4 authors.
Funding
Abstract
objectiveTo quantify the degree to which health care service area (HCSA) definitions captured hospitalizations and heterogeneity in social determinants of health (SDOH). DATA SOURCES AND STUDY
settingGeospatial data from the Centers for Medicare and Medicaid Services, the Census Bureau, and the Dartmouth Institute. Drive-time isochrones from MapBox. Area Deprivation Index (ADI) data. 2017 inpatient discharge data from Arizona, Florida, Iowa, Maryland, Nebraska, New Jersey, New York, and Wisconsin, State Emergency Department Databases and State Inpatient Databases, Healthcare Cost and Utilization Project, Agency for Healthcare Research and Quality; and Fee-For-Service Medicare data in 48 states. STUDY
designCross-sectional, descriptive analysis. DATA COLLECTION/EXTRACTION
methodsThe capture rate was the percentage of inpatient discharges occurring in the same HCSA as the hospital. We compared capture rates for each HCSA definition for different populations and by hospital type. We measured SDOH heterogeneity using the coefficient of variation of the ADI among ZIP codes within each HCSA. PRINCIPAL
findingsHCSA definitions captured a wide range of inpatient discharges, ranging from 20% to 50% for Public Use Microdata Areas (PUMAs) to 93%-97% for Metropolitan Statistical Areas (MSAs). Three-quarters of inpatient discharges were from facilities within the same county as the patient's residential ZIP code, while nearly two-thirds were within the same Hospital Service Area. From the hospital perspective, 74.7% of inpatient discharges originated from within a 30-min drive and 90.1% within a 60-min drive. Capture rates were the lowest for teaching hospitals. PUMAs and drive-time-based HCSAs encompassed more homogenous populations while MSAs, Commuting Zones, and Hospital Referral Regions captured the most variation.
conclusionsThe proportion of hospital discharges captured by each HCSA varied, with MSAs capturing the highest proportion of discharges and PUMAs capturing the lowest. Additionally, researchers face a trade-off between capture rate and population homogeneity when deciding which HCSA to use.
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