Fiorentini Gianluca, Robone Silvana, Verzulli Rossella
Department of Economics, University of Bologna, Bologna, Italy.
Department of Economics, University of Insubria, Varese, Italy.
Health Econ. 2018 Feb;27(2):266-281. doi: 10.1002/hec.3540. Epub 2017 Jun 29.
Studies of health system responsiveness mostly focus on the demand side by investigating the association between sociodemographic characteristics of patients and their reported level of responsiveness. However, little is known about the influence of supply-side factors. This paper addresses that research gap by analysing the role of hospital-specialty characteristics in explaining variations in patients' evaluation of responsiveness from a sample of about 38,700 in-patients treated in public hospitals within the Italian Region of Emilia-Romagna. The analysis is carried out by adopting a 2-step procedure. First, we use patients' self-reported data to derive 5 measures of responsiveness at the hospital-specialty level. By estimating a generalised ordered probit model, we are able to correct for variations in individual reporting behaviour due to the health status of patients and their experience of being in pain. Second, we run cross-sectional regressions to investigate the association between patients' responsiveness and potential supply-side drivers, including waiting times, staff workload, the level of spending on non-clinical facilities, the level of spending on staff education and training, and the proportion of staff expenditure between nursing and administrative staff. Results suggest that responsiveness is to some extent influenced by the supply-side drivers considered.
卫生系统响应性的研究大多通过调查患者的社会人口学特征与其报告的响应水平之间的关联来关注需求侧。然而,对于供应侧因素的影响却知之甚少。本文通过分析医院专科特征在解释意大利艾米利亚-罗马涅地区公立医院约38700名住院患者样本中患者对响应性评价差异方面的作用,填补了这一研究空白。该分析采用两步法进行。首先,我们使用患者的自我报告数据得出医院专科层面的5项响应性指标。通过估计广义有序概率模型,我们能够校正因患者健康状况及其疼痛经历导致的个体报告行为差异。其次,我们进行横断面回归,以研究患者响应性与潜在供应侧驱动因素之间的关联,这些因素包括等待时间、工作人员工作量、非临床设施支出水平、工作人员教育和培训支出水平以及护理人员与行政人员之间的人员支出比例。结果表明响应性在一定程度上受到所考虑的供应侧驱动因素的影响。