Assessing and improving data quality from community health workers: a successful intervention in Neno, Malawi.
Assessing and improving data quality from community health workers: a successful intervention in Neno, Malawi.
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DOI：
10.5588/pha.12.0071
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发表时间：
2013-03-21
影响因子：
1.4
通讯作者：
Hedt-Gauthier BL
中科院分区：
文献类型：
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作者：
Admon AJ;Bazile J;Makungwa H;Chingoli MA;Hirschhorn LR;Peckarsky M;Rigodon J;Herce M;Chingoli F;Malani PN;Hedt-Gauthier BL
卫生合作伙伴于2007年在马拉维Neno区建立了社区卫生工作者(CHW)计划，以支持卫生部的活动。常规生成的CHW数据为项目监测和评估提供关键信息。对CHW报告的非正式评估表明质量不佳，限制了数据的有用性。1)确定CHW报告中包含的综合措施的质量；2)制定干预措施以解决数据质量较差的问题；以及3)评估干预后数据质量的变化。我们开发了一个基于抽样的大量质量保证数据质量评估工具，以识别报告质量高或低的站点。在第一次评估之后，我们确定了挑战和最佳做法，并在干预措施之后进行了两次后续评估。在基准线上，五个领域中有四个被归类为数据质量低。8个月后，所有五个领域都达到了高数据质量，我们的电子数据库生成的报告变得一致和可信。计划的变化包括提高报告表格的可用性，将汇总责任转移到指定的助理，并提供汇总支持工具。当地质量评估和有针对性的干预措施立即改善了数据质量。
A community health worker (CHW) program was established in Neno District, Malawi, in 2007 by Partners In Health in support of Ministry of Health activities. Routinely generated CHW data provide critical information for program monitoring and evaluation. Informal assessments of the CHW reports indicated poor quality, limiting the usefulness of the data. 1) To establish the quality of aggregated measures contained in CHW reports; 2) to develop interventions to address poor data quality; and 3) to evaluate changes in data quality following the intervention. We developed a lot quality assurance sampling-based data quality assessment tool to identify sites with high or low reporting quality. Following the first assessment, we identified challenges and best practices and followed the interventions with two subsequent assessments. At baseline, four of five areas were classified as low data quality. After 8 months, all five areas had achieved high data quality, and the reports generated from our electronic database became consistent and plausible. Program changes included improving the usability of the reporting forms, shifting aggregation responsibility to designated assistants and providing aggregation support tools. Local quality assessments and targeted interventions resulted in immediate improvements in data quality.