| Literature DB >> 31155655 |
Kristy Hackett1,2, Mina Kazemi3, Curtis Lafleur4, Peter Nyella5, Lawelu Godfrey6, Daniel Sellen2,7,8.
Abstract
Mobile health (mHealth) applications have been developed for community health workers (CHW) to help simplify tasks, enhance service delivery and promote healthy behaviours. These strategies hold promise, particularly for support of pregnancy and childbirth in low-income countries (LIC), but their design and implementation must incorporate CHW clients' perspectives to be effective and sustainable. Few studies examine how mHealth influences client and supervisor perceptions of CHW performance and quality of care in LIC. This study was embedded within a larger cluster-randomized, community intervention trial in Singida, Tanzania. CHW in intervention areas were trained to use a smartphone application designed to improve data management, patient tracking and delivery of health messages during prenatal counselling visits with women clients. Qualitative data collected through focus groups and in-depth interviews illustrated mostly positive perceptions of smartphone-assisted counselling among clients and supervisors including: increased quality of care; and improved communication, efficiency and data management. Clients also associated smartphone-assisted counselling with overall health system improvements even though the functions of the smartphones were not well understood. Smartphones were thought to signify modern, up-to-date biomedical information deemed highly desirable during pregnancy and childbirth in this context. In this rural Tanzanian setting, mHealth tools positively influenced community perceptions of health system services and client expectations of health workers; policymakers and implementers must ensure these expectations are met. Such interventions must be deeply embedded into health systems to have long-term impacts on maternal and newborn health outcomes.Entities:
Keywords: Maternal health; community health workers; human resources; pregnancy; qualitative research
Mesh:
Year: 2019 PMID: 31155655 DOI: 10.1093/heapol/czz036
Source DB: PubMed Journal: Health Policy Plan ISSN: 0268-1080 Impact factor: 3.344