This article analyses the efficiency of health care foodservice operations
and its determinants using a Data Envelopment Analysis (DEA) bootstrapping
approach. The purpose of using the bootstrapping approach is
two-fold: first, to obtain the bias corrected estimates and the confidence
intervals of DEA-efficiency scores and second, to overcome the correlation
problem of DEA-efficiency scores and to provide consistent inferences in
explaining the determinants of health care foodservice efficiency. The
approach was implemented on a sample of 89 health care foodservice
operations. The results showed the presence of inefficiency in the sample,
with an average efficiency level of 72.6%. Further, the results from
analysing the determinants of health care foodservice operations provided
policy implication regarding the factors that might improve the efficiency
of health care foodservice operations.