4.7 Article

Utilizing community health worker data for program management and evaluation: Systems for data quality assessments and baseline results from Rwanda

期刊

SOCIAL SCIENCE & MEDICINE
卷 85, 期 -, 页码 87-92

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.socscimed.2013.02.033

关键词

Africa; Rwanda; Data quality; Lot quality assurance sampling; LQAS; Community health worker; Community case management

资金

  1. Doris Duke Charitable Foundation [2009057]
  2. Harvard Medical School Department of Global Health and Social Medicine Research Core

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Community health workers (CHWs) have and continue to play a pivotal role in health services delivery in many resource-constrained environments. The data routinely generated through these programs are increasingly relied upon for providing information for program management, evaluation and quality assurance. However, there are few published results on the quality of CHW-generated data, and what information exists suggests quality is low. An ongoing challenge is the lack of routine systems for CHW data quality assessments (DQAs). In this paper, we describe a system developed for CHW DQAs and results of the first formal assessment in southern Kayonza, Rwanda, May-June 2011. We discuss considerations for other programs interested in adopting such systems. While the results identified gaps in the current data quality, the assessment also identified opportunities for strengthening the data to ensure suitable levels of quality for use in management and evaluation. (C) 2013 Elsevier Ltd. All rights reserved.

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