Titre : | Utilizing community health worker data for program management and evaluation : Systems for data quality assessments and baseline results from Rwanda. (2013) |
Auteurs : | Tisha MITSUNAGA ; BASINGA (Paulin) : RWA. National University of Rwanda School of Public Health. Kigali. ; DROBAC (Peter) : USA. Division of Global Health Equity. Brigham and Women's Hospital. Boston. MA. ; Didi-Bertrand FARMER ; Bethany HEDT-GAUTHIER ; HIRSCHHORN (Lisa) : USA. Partners In Health (Pih). Boston. MA. ; KARAMAGA (Adolphe) : RWA. Rwinkwavu District Hospital. Rwinkwavu. ; Cathy MUGENI ; Fidele NGABO ; Elias NGIZWENAYO ; Inshuti Mu Buzima. Partners In Health. Kigali. RWA ; Ministry of Health. Po Box 84 Kigali. RWA |
Type de document : | Article |
Dans : | Social science and medicine (vol. 85, 2013) |
Pagination : | 87-92 |
Langues: | Anglais |
Mots-clés : | Santé communautaire ; Agent santé communautaire ; Programme communautaire ; Programme santé ; Evaluation ; Qualité ; Contrôle qualité ; Résultat ; Rwanda ; Lot ; Prélèvement ; Communauté ; Homme ; Afrique ; Midi Pyrénées ; France ; Europe |
Résumé : | [BDSP. Notice produite par INIST-CNRS I7n7IR0x. Diffusion soumise à autorisation]. 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. |