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Advances in the measurement of coverage for RMNCH and nutrition: from contact to effective coverage

机译:RMNCH和营养覆盖率测量的最新进展:从接触到有效覆盖

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摘要

Current methods for measuring intervention coverage for reproductive, maternal, newborn, and child health and nutrition (RMNCH+N) do not adequately capture the quality of services delivered. Without information on the quality of care, it is difficult to assess whether services provided will result in expected health improvements. We propose a six-step coverage framework, starting from a target population to (1) service contact, (2) likelihood of services, (3) crude coverage, (4) quality-adjusted coverage, (5) user-adherence-adjusted coverage and (6) outcome-adjusted coverage. We support our framework with a comprehensive review of published literature on effective coverage for RMNCH+N interventions since 2000. We screened 8103 articles and selected 36 from which we summarised current methods for measuring effective coverage and computed the gaps between ‘crude’ coverage measures and quality-adjusted measures. Our review showed considerable variability in data sources, indicator definitions and analytical approaches for effective coverage measurement. Large gaps between crude coverage and quality-adjusted coverage levels were evident, ranging from an average of 10 to 38 percentage points across the RMNCH+N interventions assessed. We define effective coverage as the proportion of individuals experiencing health gains from a service among those who need the service, and distinguish this from other indicators along a coverage cascade that make quality adjustments. We propose a systematic approach for analysis along six steps in the cascade. Research to date shows substantial drops in effective delivery of care across these steps, but variation in methods limits comparability of the results. Advancement in coverage measurement will require standardisation of effective coverage terminology and improvements in data collection and methodological approaches.
机译:当前用于测量生殖,孕产妇,新生儿以及儿童健康和营养的干预覆盖率的方法(RMNCH + N)无法充分体现所提供服务的质量。没有有关护理质量的信息,很难评估所提供的服务是否会带来预期的健康改善。我们提出了一个六步覆盖框架,从目标人群到(1)服务联系,(2)服务的可能性,(3)粗略覆盖,(4)质量调整的覆盖,(5)用户坚持性调整的开始覆盖率和(6)结果调整后的覆盖率。自2000年以来,我们对已发表的有关RMNCH + N干预措施有效覆盖范围的文献进行了全面回顾,从而为我们的框架提供了支持。我们筛选了8103篇文章,选择了36篇文章,从中总结了当前衡量有效覆盖率的方法,并计算了“粗略”覆盖率措施与质量调整措施。我们的审查显示,有效覆盖率测量的数据来源,指标定义和分析方法存在很大差异。在评估的RMNCH + N干预措施中,原油覆盖率与质量调整后的覆盖率水平之间存在明显差距,平均差距为10%至38%。我们将有效覆盖率定义为需要该服务的人中获得服务所带来的健康收益的比例,并将其与进行质量调整的覆盖率级联中的其他指标区分开来。我们提出了一种系统化的分析方法,该方法沿着层叠的六个步骤进行。迄今为止的研究表明,在这些步骤中,有效的护理交付量大幅度下降,但是方法的变化限制了结果的可比性。覆盖率测量的进步将需要有效覆盖率术语的标准化以及数据收集和方法论方法的改进。

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