The purpose of this thesis was to evaluate the technical efficiency of public hospitals in Mongolia. Another purpose of this thesis was to study the link between technical efficiency and various factors such as level of hospital, location of hospital and time period observed. In this thesis nonparametric Data Envelopment Analyses was used to assess the technical efficiency of hospitals. Sensitivity analysis was used to evaluate the stability of efficiency scores of the DEA model. The relationships between technical efficiency of hospitals and other factors were then examined using appropriate parametric and non-parametric tests.
The purpose of this thesis was to evaluate the technical efficiency of public hospitals in Mongolia. Another purpose of this thesis was to study the link between technical efficiency and various factors such as level of hospital, location of hospital and time period observed. In this thesis nonparametric Data Envelopment Analyses was used to assess the technical efficiency of hospitals. Sensitivity analysis was used to evaluate the stability of efficiency scores of the DEA model. The relationships between technical efficiency of hospitals and other factors were then examined using appropriate parametric and non-parametric tests. The data for this study were obtained for the years 2004, 2005 and 2006, from the Ministry of Health, National Center for Health Development and Health Department of Ulaanbaatar City. The original set consisted of almost all secondary and tertiary level public hospitals in Mongolia. Specialized and private hospitals were excluded in order to have a homogenous group of hospitals. The DEA results in this research provide efficiency scores for each of the hospitals through three year of period. For each inefficient hospital the reductions in inputs and/or increases in outputs needed to bring the hospital up to full efficiency. The findings of this research indicate that the secondary level hospitals in provinces on average are less efficient (p=0.022) than secondary level hospitals in cities. Decision-makers should reevaluate hospital performance and reallocate resources among across regions based on needs and necessities to maximize system-wide efficiency.