La prise en charge des maladies au niveau communautaire vise à améliorer l’état de santé des populations particulièrement celui des enfants et des femmes enceintes par la promotion de bonnes pratiques familiales et communautaires.
Monitoring and Evaluation
Breakthrough RESEARCH has conducted a study to monitor the Family Planning (FP) quality assurance branding campaign in Côte d’Ivoire called Confiance Totale.
Data collected routinely by governments and by program implementers can be leveraged to inform and evaluate social and behavior change (SBC) programs.
Community-led monitoring (CLM) is a technique initiated and implemented by local community-based organizations and other civil society groups, networks of key populations (KP), people living with HIV (PLHIV), and other affected groups, or other community entities that gather quantitative and qualitative data about HIV services.
This brief describes 12 indicators that align with the ideational model of social and behavior change (SBC) interventions that countries and programs can consider adopting to monitor and evaluate their family planning (FP) programs.
This document provides information on how community health workers (CHWs) can support contact tracing efforts related to COVID-19 in low resource and resource-limited non-U.S. settings. The considerations provided can be adapted to follow national or local guidelines and account for local context.
Program evaluations in a LRS can be challenging in that the program staff may not have the skills or capacity to see it through. However, agencies often require formal evaluation of their funded programs which may lead to the hiring of a contract evaluator.
This brief states that M&E does not have to be time-consuming or expensive to be worthwhile, but it does require some resources to plan it, collect information, and use the results to strengthen your program. It will guide programs in making the most of a limited budget.
Numerous guidelines outline best practices for health program M&E. However, health programs are often implemented in less-than-ideal circumstances where these best practices may not be resourced or feasible.