{"title":"Forecasting the Portuguese public hospitals performance: An impossible task?","authors":"Miguel Varela","doi":"10.1016/j.seps.2025.102289","DOIUrl":null,"url":null,"abstract":"<div><div>This study has two main objectives: first, to evaluate the performance of public hospitals in Portugal and, second, to predict their development Utilizing Data Envelopment Analysis (DEA) and the Malmquist Productivity Index (MPI), this study predicts and evaluates the performance of public hospitals in Portugal. From 2013 to 2017, a sample of 28 public hospitals and hospital centers was analyzed. In 2018, projected MPI values were compared to actual values. The data used are those officially available at the time. The objective was also to delimit the time of the present research so that in a future study it will be possible to compare it with the period of the COVID pandemic. In this research, pre-COVID data are worked on and in a future publication, when official data are available for a period of five years post-COVID, we can compare the results obtained. The average DEA score for hospitals has been 0.648, and the score under variable returns to scale is 0.764, indicating a gradual improvement in performance. Over the years, both hospital and scale efficiency have increased. There is seasonality in the overall average MPI, with significant peaks in May and June. The study indicates that technological advancements have a greater impact on the MPI than changes in efficiency. The projected MPI indicates a marginal uptick for the year 2018, although the outcomes lack sufficient reliability.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"101 ","pages":"Article 102289"},"PeriodicalIF":5.4000,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Socio-economic Planning Sciences","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0038012125001387","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This study has two main objectives: first, to evaluate the performance of public hospitals in Portugal and, second, to predict their development Utilizing Data Envelopment Analysis (DEA) and the Malmquist Productivity Index (MPI), this study predicts and evaluates the performance of public hospitals in Portugal. From 2013 to 2017, a sample of 28 public hospitals and hospital centers was analyzed. In 2018, projected MPI values were compared to actual values. The data used are those officially available at the time. The objective was also to delimit the time of the present research so that in a future study it will be possible to compare it with the period of the COVID pandemic. In this research, pre-COVID data are worked on and in a future publication, when official data are available for a period of five years post-COVID, we can compare the results obtained. The average DEA score for hospitals has been 0.648, and the score under variable returns to scale is 0.764, indicating a gradual improvement in performance. Over the years, both hospital and scale efficiency have increased. There is seasonality in the overall average MPI, with significant peaks in May and June. The study indicates that technological advancements have a greater impact on the MPI than changes in efficiency. The projected MPI indicates a marginal uptick for the year 2018, although the outcomes lack sufficient reliability.
期刊介绍:
Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry.
Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution.
Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.