How to Help Community-Based mHealth Programs Collect High-Quality Data

As health programs are relying more on decentralized models of care, mHealth has made it easier to collect, manage and store community-level health data. This data can feed into national health information systems and be used to inform decision making for improved service delivery at the community level. But how can we ensure that our community-based mHealth programs are collecting accurate, high-quality data that will help us deliver the right services to the right places at the right time? We at MEASURE Evaluation have developed the mobile community based health information system (CBHIS) data quality assessment toolkit to allow programs and projects to rapidly assess the ability of their mobile data systems to collect, manage, and report high-quality community-based data. We recently had the opportunity to present our toolkit for the first time to a group of participants at the MERL Tech Conference.

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How to Help Community-Based mHealth Programs Collect High-Quality Data