44 research outputs found
Close-to-community providers of health care: increasing evidence of how to bridge community and health systems.
This article was published in Human Resources for Health [© 2016 BioMed Central Ltd.] and the definite version is available at: https://human-resources-health.biomedcentral.com/articles/10.1186/s12960-016-0132-9Publishe
Can mHealth improve timeliness and quality of health data collected and used by health extension workers in rural Southern Ethiopia?
BackgroundHealth extension workers (HEWs) are the key cadre within the Ethiopian Health Extension Programme extending health care to rural communities. National policy guidance supports the use of mHealth to improve data quality and use. We report on a mobile Health Management Information system (HMIS) with HEWs and assess its impact on data use, community health service provision and HEWs' experiences.MethodologyWe used a mixed methods approach, including an iterative process of intervention development for 2 out of 16 essential packages of health services, quantitative analysis of new registrations, and qualitative research with HEWs and their supervisors.ResultsThe iterative approach supported ownership of the intervention by health staff, and 8833 clients were registered onto the mobile HMIS by 62 trained HEWs. HEWs were positive about using mHealth and its impact on data quality, health service delivery, patient follow-up and skill acquisition. Challenges included tensions over who received a phone; worries about phone loss; poor connectivity and power failures in rural areas; and workload.DiscussionMobile HMIS developed through collaborative and locally embedded processes can support quality data collection, flow and better patient follow-up. Scale-up across other community health service packages and zones is encouraged together with appropriate training, support and distribution of phones to address health needs and avoid exacerbating existing inequalities.KeywordsCHWs, equity, ethics, Ethiopia, Health Management Information system, HEP, maternal health, mHealth, TB.</p
