Análisis de la eficiencia técnica hospitalaria 2011

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Translated abstract

Background: Efficiency in the use ofresources in health systems and hospitals has been a matter ofinterestfor administrators as well asforpolicy makers. The growing costs due to higher levéis of demand from the population require a better use and allocation ofsuch costs. Aim: To assess the technical efficiency in 28 hospitals in Chile, considering the period from May to October, 2011. Material and Methods: The average number ofavailable beds, the number ofstaffand the expenses on consumer and service goods were used as production inputs and, on the other hand, the expenditures adjusted by the Diagnosis-Related Groups (IR-DRG) were used as producís. To assess the technical efficiency, the Data Envelopment Analysis technique was used. Results: The levéis of inefficiency fluctuóte from 20 to 23.3%. In other words, with a 20% increase in hospital discharges and maintainingfixed inputs, hospitals could become efficient. Conclusions: The incorporation of methodologies to determine efficiency allows gathering new knowledge for people who manage resources as well asforpolicy makers by optimizing practices and having better allocation criteria.

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Most cited references 23

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The measurement of efficiency and productivity of health care delivery.

Bruce Hollingsworth (2008)

The measurement of efficiency and productivity of health service delivery has become a small industry. This is a review of 317 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 to hospitals and other health care organizations and areas are reviewed and summarised, and some meta-type analysis undertaken. Cautious conclusions are that public provision may be potentially more efficient than private, in certain settings. The paper also considers conceptualizations of efficiency, and points to dangers and opportunities in generating such information. Finally, some criteria for assessing the use and usefulness of efficiency studies are established, with a view to helping both researchers and those assessing whether or not to act upon published results.

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Data envelopment analysis comparison of hospital efficiency and quality.

Preethy Nayar, Yasar Ozcan (2008)

Using a sample of Virginia hospitals, performance measures of quality were examined as they related to technical efficiency. Efficiency scores for the study hospitals were computed using Data Envelopment Analysis (DEA). The study found that the technically efficient hospitals were performing well as far as quality measures were concerned. Some of the technically inefficient hospitals were also performing well with respect to quality. DEA can be used to benchmark both dimensions of hospital performance: technical efficiency and quality. The results have policy implications in view of growing concern that hospitals may be improving their efficiency at the expense of quality.