The Spending‐Service Connection

The Case of Health Care

Datos Bibliográficos

ID6328209
AutoresDavid R Morgan (Valdosta State University), James T Laplant (0000-0003-3600-5818, University of Oklahoma)
Año1996
Volumen24
Número2
Páginas215-229
Fecha de publicación1996-06-01
Open AccessSí
TipoARTICLE
RevistaPolicy Studies Journal (JOURNAL)
Identificadores de la revistaISSN: 0190-292X • E-ISSN: 1541-0072
EditorialWiley (PUBLISHER • GB)
DOI10.1111/j.1541-0072.1996.tb01625.x
OpenAlexW1508823179
IdiomaEN
Referencias citadas18

This research tests the relationship between state and local spending for health and hospitals, a set of health service measures, and three final policy outcomes—low birthweight infants, infant mortality, and child deaths. The analysis includes several proxies for service demand—state resources, percentage of single‐teen births, and percentage of the population without health insurance. The multiple regression equations also incorporate a measure of federal spending on health and an indicator of state spending for Medicaid. This first stage of the analysis can account for only a limited amount of variation in per capita state and local health and hospital spending. Health expenditures, however, are prominently related to health workers per 10,000 population, while hospital spending buys hospital beds. The final step in the analysis uses path models. The results show that neither spending nor the intermediate‐level health outputs (including a measure of prenatal care) are significantly related to the final three outcome variables. Single‐teen births is the dominant influence in the final equations

Actuarial science · Business · Demographic economics · Economic growth · Economics · Environmental health · Health care · Infant mortality · Medicaid · Per capita · Population · Sociology · Demography · Gender, Labor, and Family Dynamics · Global Health Care Issues · Healthcare Policy and Management · Medicine