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Interventions to improve district-level routine health data in low-income and middle-income countries: a systematic review

机译:干预措施,以改善低收入和中等收入国家的地区级常规健康数据:系统审查

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摘要

Background Routine health information system(s) (RHIS) facilitate the collection of health data at all levels of the health system allowing estimates of disease prevalence, treatment and preventive intervention coverage, and risk factors to guide disease control strategies. This core health system pillar remains underdeveloped in many low-income and middle-income countries. Efforts to improve RHIS data coverage, quality and timeliness were launched over 10 years ago.Methods A systematic review was performed across 12 databases and literature search engines for both peer-reviewed articles and grey literature reports on RHIS interventions. Studies were analysed in three stages: (1) categorisation of RHIS intervention components and processes; (2) comparison of intervention component effectiveness and (3) whether the post-intervention outcome improved above the WHO integrated disease surveillance response framework data quality standard of 80% or above.Results 5294 references were screened, resulting in 56 studies. Three key performance determinants—technical, organisational and behavioural—were proposed as critical to RHIS strengthening. Seventy-seven per cent [77%] of studies identified addressed all three determinants. The most frequently implemented intervention components were ‘providing training’ and ‘using an electronic health management information systems’. Ninety-three per cent [93%] of pre–post or controlled trial studies showed improvements in one or more data quality outputs, but after applying a standard threshold of >80% post-intervention, this number reduced to 68%. There was an observed benefit of multi-component interventions that either conducted data quality training or that addressed improvement across multiple processes and determinants of RHIS.Conclusion Holistic data quality interventions that address multiple determinants should be continuously practised for strengthening RHIS. Studies with clearly defined and pragmatic outcomes are required for future RHIS improvement interventions. These should be accompanied by qualitative studies and cost analyses to understand which investments are needed to sustain high-quality RHIS in low-income and middle-income countries.
机译:背景日常卫生信息系统(RHI)促进卫生系统各级健康数据,允许疾病患病率,治疗和预防性干预覆盖以及导向疾病控制策略的危险因素。该核心卫生系统支柱在许多低收入和中等收入国家仍然欠发电。 10年前推出了提高RHIS数据覆盖,质量和及时性的努力。方法在12个数据库和文献搜索引擎中进行了系统审查,适用于对同行评审文章和关于RHIS干预的灰色文献报告。分析三个阶段的研究:(1)Rhis干预组件和过程的分类; (2)干预成分效果的比较和(3)后介入后结果是否改善了综合疾病监测响应框架数据质量标准的80%或更高版本。结果筛查了5294篇参考文献,导致56项研究。三个关键性能决定因素 - 技术,组织和行为 - 被提出对Rhis加强至关重要。七十七百%的研究确定了所有三种决定因素。最常见的干预组成部分是“提供培训”和“使用电子健康管理信息系统”。初中或受控试验研究中的九十三个百分之[93%]显示了一个或多个数据质量输出的改善,但在介入后的标准阈值下施用> 80%时,该数字降低至68%。观察到的多组分干预措施的益处,要么进行数据质量培训,要么解决了跨越rhis的多种过程和决定因素的改善。结论全面数据质量干预,应持续实施解决多种决定因素以加强RHIS。未来的RHIS改进干预措施需要明确定义和务实结果的研究。这些应伴随着定性研究和成本分析,以了解需要哪些投资来维持低收入和中等收入国家的高质量Rhis。

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