This study evaluates the impact of a mobile phone (mHealth) monitoring system- RapidSMS on improving access to proven maternal and newborn health interventions. Using an interrupted time series design, the study looks at the effect of the mHealth intervention on antenatal care, health facility delivery and vaccination.
To support quality CHW program design and implementation, USAID, UNICEF, the Community Health Impact Coalition, and Initiatives Inc. have updated and adapted the Community Health Worker Assessment and Improvement Matrix (CHW AIM) Program Functionality Matrix tool. This tool can be applied at district, regional, and national levels to identify and close gaps in design and implementation and, ultimately, enhance program performance.
The Community Health Systems (CHS) Catalog is a one-stop ‘shop’ for information on community health policies and programs across 25 countries, including extensive information on CHWs. Developed in 2014 and updated in 2017, it provides policymakers, program managers, researchers and donors with policy data to advance community health research, programming, and advocacy efforts. The CHS Catalog includes 25 country profiles, a set of infographics, and a summary of cross-country policy and program trends.
This retrospective cohort study examines whether the use of SMS-based data entry by CHWs is more effective than paper forms in the timely CHW follow-up visits for malnutrition screening in children under-5 in sub-Saharan Africa.
As access to mobile technologies expands, improving their effective use is key to strengthening data. This article discusses emerging lessons from rural Rwanda on CHW use of mobile technologies for health interventions. Technical characteristics such as reminders and alerts were seen to be the strongest predictors towards use, while user characteristic (age) did not influence use. Programme characteristics, specifically supervision and training, had mixed findings.
This qualitative study examines the facilitating factors and barriers to birth preparedness and complication readiness in rural Rwanda. Participants perceived CHWs, attending antenatal care, and medical insurance as facilitating factors while disrespectful care and inconsistent health policies were seen as barriers.
This paper uses a newly developed general framework to create a cluster lot quality assurance sampling (C-LQAS) system. This method for creating a C-LQAS system is used to design data quality assessments for a community health worker program in Rwanda.