This report shows the preliminary results of the USAID SQALE Program model for quality improvement at a community level. Community health volunteers have improved reporting, community engagement with the health care system, and efficiency and performance.
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.
This paper discusses the implementation of a mobile-based community health management information system for community health workers (CHWs) and their supervisors in Zambia. CHWs provided weekly updates to supervisors and received feedback through the mobile application.
Global literature has shown that community health workers connect communities to formal health care services. This article investigates whether or not this holds true in Uganda by examining village health teams (VHTs). The paper suggests several factors that limit VHTs ability to effectively link communities to form health care services.
Health Surveillance Assistants (HSAs) have been providing integrated community case management (iCCM) for sick children in Malawi since 2008. HSAs report monthly iCCM program data but, at the time of this study, little of it was being used for service improvement. Additionally, HSAs and facility health workers did not have the tools to compile and visualize the data they collected to make evidence-based program decisions.
In this article, mPowering reflects on learning from pre-existing CHW programs. First, they recognize CHWs who have support are more likely to make an impact on the communities they serve. In addition, the introduction of technology into many programs has presented opportunities to improve communication and data collection. The reflection concludes by stating current CHW programs need to be strengthened, which can be done by increased investment in health systems.
Amref Health Africa in Kenya has developed a replicable Community Health Units (CHUs) Functionality Scorecard for measuring and managing the functionality of CHUs. The scorecard was designed and piloted at 114 CHUs in Rift Valley province in Kenya. The scorecard categorized CHUs as Functional, Semi-functional, or Non-Functional. Before and after data was used to assess the functionality. From January 2012 to September 2013, the proportion of functional CHU increased from 3.5% to 82.9%, Semi-Functional reduced from 39% to 13% while Non-Functional reduced from 58% to 4%.