Measuring horizontal inequity in healthcare utilisation: a review of methodological developments and debates.

The European Journal of Health Economics Pub Date : 2020-03-01 Epub Date: 2019-09-21 DOI:10.1007/s10198-019-01118-2
Mohammad Habibullah Pulok, Kees van Gool, Mohammad Hajizadeh, Sara Allin, Jane Hall
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Abstract

Equity in healthcare is an overarching goal of many healthcare systems around the world. Empirical studies of equity in healthcare utilisation primarily rely on the horizontal inequity (HI) approach which measures unequal utilisation of healthcare services by socioeconomic status (SES) for equal medical need. The HI method examines, quantifies, and explains inequity which is based on regression analysis, the concentration index, and the decomposition technique. However, this method is not beyond limitations and criticisms, and it has been subject to several methodological challenges in the past decade. This review presents a summary of the recent developments and debates on various methodological issues and their implications on the assessment of HI in healthcare utilisation. We discuss the key disputes centred on measurement scale of healthcare variables as well as the evolution of the decomposition technique. We also highlight the issues about the choice of variables as the indicator of SES in measuring inequity. This follows a discussion on the application of the longitudinal method and use of administrative data to quantify inequity. Future research could exploit the potential for health administrative data linked to social data to generate more comprehensive estimates of inequity across the healthcare continuum. This review would be helpful to guide future applied research to examine inequity in healthcare utilisation.

衡量医疗保健利用的横向不平等:对方法发展和辩论的回顾。
卫生保健公平是世界各地许多卫生保健系统的首要目标。医疗保健利用公平性的实证研究主要依赖于横向不平等(HI)方法,该方法通过社会经济地位(SES)衡量医疗保健服务的不平等利用,以实现平等的医疗需求。HI方法是基于回归分析、浓度指数和分解技术来检验、量化和解释不平等。然而,这种方法并没有超越限制和批评,并且在过去的十年中,它受到了一些方法上的挑战。这篇综述概述了最近的发展和各种方法问题的辩论,以及它们对医疗保健利用中HI评估的影响。我们讨论了以医疗变量的测量尺度为中心的关键争议以及分解技术的演变。我们还强调了关于选择变量作为衡量不平等的SES指标的问题。在此之前讨论纵向的应用方法和使用管理数据量化不平等。未来的研究可以利用与社会数据相关联的卫生行政数据的潜力,对整个卫生保健连续体的不平等进行更全面的估计。本综述将有助于指导未来的应用研究,以检查医疗保健利用的不公平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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