Cost drivers and resource allocation in military health care systems.
This study illustrates the feasibility of incorporating technical efficiency considerations in the funding of military hospitals and identifies the primary drivers for hospital costs. Secondary data collected for 24 U.S.-based Army hospitals and medical centers for the years 2001 to 2003 are the basis for this analysis. Technical efficiency was measured by using data envelopment analysis; subsequently, efficiency estimates were included in logarithmic-linear cost models that specified cost as a function of volume, complexity, efficiency, time, and facility type. These logarithmic-linear models were compared against stochastic frontier analysis models. A parsimonious, three-variable, logarithmic-linear model composed of volume, complexity, and efficiency variables exhibited a strong linear relationship with observed costs (R(2) = 0.98). This model also proved reliable in forecasting (R(2) = 0.96). Based on our analysis, as much as $120 million might be reallocated to improve the United States-based Army hospital performance evaluated in this study.
Fulton
Larry
L
Center for Army Medical Department Strategic Studies, U.S. Army Department Center and School, Fort Sam Houston, TX 78234-5047, USA.
Lasdon
Leon S
LS
McDaniel
Reuben R
RR
D003361:Cost Allocation / Q000379:methods* / Q000706:statistics & numerical data; D003660:Decision Support Systems, Management; D017598:Efficiency, Organizational / Q000191:economics; D005240:Feasibility Studies; D005544:Forecasting; D017721:Hospital Costs / Q000706:statistics & numerical data* / Q000639:trends; D006772:Hospitals, Military / Q000191:economics*; D006801:Humans; D008887:Military Medicine / Q000191:economics*; D017059:Models, Econometric; D011382:Programming, Linear; D040841:Resource Allocation / Q000191:economics* / Q000379:methods / Q000706:statistics & numerical data; D013269:Stochastic Processes; D014481:United States