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Methodological Issues to Consider When Collecting Data to Estimate Poverty Impact in Economic Evaluations in Low‐income and Middle‐income Countries

机译:在低收入和中等收入国家中收集数据以评估贫困对经济评估的影响时应考虑的方法论问题

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摘要

Out‐of‐pocket spending is increasingly recognized as an important barrier to accessing health care, particularly in low‐income and middle‐income countries (LMICs) where a large portion of health expenditure comes from out‐of‐pocket payments. Emerging universal healthcare policies prioritize reduction of poverty impact such as catastrophic and impoverishing healthcare expenditure. Poverty impact is therefore increasingly evaluated alongside and within economic evaluations to estimate the impact of specific health interventions on poverty. However, data collection for these metrics can be challenging in intervention‐based contexts in LMICs because of study design and practical limitations. Using a set of case studies, this letter identifies methodological challenges in collecting patient cost data in LMIC contexts. These components are presented in a framework to encourage researchers to consider the implications of differing approaches in data collection and to report their approach in a standardized and transparent way. © 2016 The Authors. Health Economics published by John Wiley & Sons Ltd.
机译:自付费用日益被认为是获得医疗保健的重要障碍,特别是在低收入和中等收入国家(LMIC),那里的健康支出大部分来自自付费用。新兴的全民医疗保健政策优先考虑减少对贫困的影响,例如灾难性和贫困的医疗保健支出。因此,越来越多地在经济评估的同时和内部评估贫困的影响,以评估特定卫生干预措施对贫困的影响。但是,由于研究设计和实际限制,在LMIC中基于干预的情况下,针对这些指标的数据收集可能会面临挑战。通过一系列案例研究,这封信指出了在LMIC环境下收集患者费用数据的方法学挑战。在框架中介绍了这些组件,以鼓励研究人员考虑数据收集中不同方法的含义,并以标准化和透明的方式报告其方法。 ©2016作者。约翰·威利父子有限公司出版的《健康经济学》。

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