Further, increasing technology investment could enable higher efficiency levels. On average, the results show that it is advisable for hospitals to reorganize nonmedical staff to enhance efficiency. Hospital size is an important feature of inefficiency. The study reveals improvements that should be made from both the policy and managerial perspectives.
The major cause of decreased efficiency over time was technical change (0.908) rather than efficiency change (0.974). The size of the hospital in relation to the size of the population served and the length of patient stay were important factors for the efficiency score. The inputs identified as needing significant reductions were full-time employee (FTE) administrative staff and technicians. Technical and scale inefficiencies often occurred jointly, with 77% of inefficient hospitals needing a downsizing strategy to gain efficiency. On average, the hospitals in the Veneto region operated at more than 95% efficiency. Finally, the Malmquist Productivity Index was applied. Further, DEA efficiency scores were regressed on internal and external variables using a Tobit model. Efficiency scores were estimated and decomposed into two components.
We selected five efficiency outputs (outpatient visits, inpatients, outpatient visit revenue, inpatient revenue, bed occupancy rate) and two quality outputs (mortality rate and inappropriate admission rate). We identified three categories of input: capital investments (Beds), labor (FTE), operating expenses. MethodsĪ nonparametric approach-that is, multistage data envelopment analysis (DEA)-was applied to a sample of 43 hospitals. To achieve this aim, the study used secondary data from the Veneto region for the years 20. The objective of this study was to assess public hospital efficiency, including quality outputs, inefficiency determinants, and changes to efficiency over time, in an Italian region.
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