This article examines the use of routine and secondary health data, identifying key challenges and training needs that impact the effectiveness of data management in health programs. It highlights the increasing demand for capacity building in health data management, particularly in areas related to data governance, quality assurance, and analysis. The article stresses the importance of building the skills of health practitioners to ensure that routine data can be used effectively for program evaluation, policymaking, and continuous improvement. It offers practical recommendations for addressing the training gaps and challenges faced by health organizations in managing their data systems.
We use essential and analytics cookies to operate this website and understand how visitors interact with it. As this site also functions as a login identity provider (IDP) for other ISDM portals, some cookies are necessary to enable secure authentication. By continuing to use this site, you consent to our use of cookies.
