Non-parametric and parametric applications measuring efficiency in health care.
This paper reviews 188 published papers on frontier efficiency measurement. The techniques used are mainly based on non-parametric data envelopment analysis, but there is increasing use of parametric techniques, such as stochastic frontier analysis. Applications both to hospitals and wider health care areas are reviewed and summarised, and some meta-type analysis undertaken. Results appear to confirm earlier findings that public provision demonstrates less variability than private. The paper is meant as a resource in itself, but also points to the future in terms of possible directions for research in efficiency measurement in health care and health.
Hollingsworth
Bruce
B
Health Economics Unit, Faculty of Business and Economics, Monash University, PO Box 477, West Heidelberg, Melbourne, Victoria 3081, Australia. bruce.hollingsworth@buseco.monash.edu.au
D017598:Efficiency, Organizational / Q000706:statistics & numerical data*; D006298:Health Services Administration / Q000706:statistics & numerical data*; D006302:Health Services Research / Q000379:methods*; D006739:Hospital Administration / Q000706:statistics & numerical data; D009735:Nursing Homes / Q000458:organization & administration / Q000706:statistics & numerical data; D018709:Statistics, Nonparametric; D013269:Stochastic Processes