Performance of health care service area definitions for capturing variation in inpatient care and social determinants of health.
Health Serv Res
; 59(4): e14312, 2024 08.
Article
em En
| MEDLINE
| ID: mdl-38698467
ABSTRACT
OBJECTIVE:
To quantify the degree to which health care service area (HCSA) definitions captured hospitalizations and heterogeneity in social determinants of health (SDOH). DATA SOURCES AND STUDYSETTING:
Geospatial 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. STUDYDESIGN:
Cross-sectional, descriptive analysis. DATA COLLECTION/EXTRACTIONMETHODS:
The 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. PRINCIPALFINDINGS:
HCSA 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.CONCLUSIONS:
The 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.Palavras-chave
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Determinantes Sociais da Saúde
Limite:
Humans
País/Região como assunto:
America do norte
Idioma:
En
Revista:
Health Serv Res
/
Health serv. res
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Health services research
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
Estados Unidos