Faculty of Health Sciences, Department of Nursing, University of Peloponnese, 22100 Tripoli, Greece.
Faculty of Finance and Statistics, Department of Statistics and Insurance Science, University of Piraeus, 18534 Athens, Greece.
Int J Environ Res Public Health. 2022 Jan 30;19(3):1597. doi: 10.3390/ijerph19031597.
In this paper, the overall efficiency of health centers in Greece is measured by applying the input-oriented model of Data Envelopment Analysis. In addition, four different models were subjected to the input-oriented Data Envelopment Analysis to investigate the contribution of each category of human resources to the efficiency results of the health centers. The bootstrap technique was performed to generate confidence intervals for the models. Data for 155 health centers in Greece were provided by the Ministry of Health. The health centers submitted in the analysis obtained an average efficiency value of 0.932. The average results of the partial models in terms of each input show that the efficiency values achieved by the health centers are mostly influenced by the number of physicians and the number of managers employed. The second factor influencing the efficiency values of the health centers are the number of nursing staff occupied in the health centers. Non-medical staff employed in the health centers had the least contribution to the efficiencies measured. This paper provides important information for the stakeholders and the Government of Greece so as to better allocate the personnel employed in primary health care according to the efficiencies attained by the health centers.
本文应用数据驱动分析的输入导向模型来衡量希腊卫生中心的整体效率。此外,还对四个不同的模型进行了输入导向的数据驱动分析,以调查每类人力资源对卫生中心效率结果的贡献。使用自举技术为模型生成置信区间。希腊卫生部提供了 155 个卫生中心的数据。分析中提交的卫生中心平均效率值为 0.932。就每个投入而言,部分模型的平均结果表明,卫生中心的效率值主要受到医生人数和管理人员人数的影响。影响卫生中心效率值的第二个因素是卫生中心所占用的护理人员数量。卫生中心雇用的非医务人员对所测效率的贡献最小。本文为利益相关者和希腊政府提供了重要信息,以便根据卫生中心的效率更好地分配初级卫生保健所雇用的人员。