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首页> 外文期刊>Health economics >How do hospital‐specialty characteristics influence health system responsiveness? An empirical evaluation of in‐patient care in the Italian region of Emilia‐Romagna
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How do hospital‐specialty characteristics influence health system responsiveness? An empirical evaluation of in‐patient care in the Italian region of Emilia‐Romagna

机译:医院特色特色如何影响卫生系统响应性? Emilia-Romagna意大利地区患者患者护理的实证评价

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Abstract 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.
机译:摘要卫生系统响应性研究主要通过调查患者的社会阶段特征与其报告的响应程度之间的关联来关注需求方面。然而,关于供应侧因素的影响很少。本文通过分析了医院 - 特种特征的作用来解释患者对艾米利亚 - 罗马纳意大利地区意大利地区意大利地区约38,700名患者的患者对患者的反应性的评价的变化来说明的研究差距。通过采用2步骤进行分析。首先,我们使用患者的自我报告的数据来派生5种医院专业响应措施。通过估计广义有序概率模型,我们能够纠正由于患者的健康状况及其痛苦的经验而导致的个别报告行为的变化。其次,我们运行横断面回归来调查患者响应性和潜在供应方驾驶员之间的关联,包括等待时间,员工工作量,非临床设施支出水平,工作人员教育和培训的支出水平,以及护理与行政人员之间的员工支出比例。结果表明,响应性在某种程度上受到供应侧司机的影响。

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