A participatory learning approach for the development of a maternal mobile health technology in Zimbabwe

Israel Mbekezeli Dabengwa, Zibusiso Nyati-Jokomo, Laurine Chikoko, Prestige Tatenda Makanga, Newton Nyapwere, Liberty Makacha

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Participatory Learning Approaches (PLAs) were used in identifying community expectations and needs for the introduction of the RoadMApp mHealth software (a geographically enabled mHealth technology which would link pregnant women to transportation to health facilities) in Kwekwe District, Zimbabwe. The sampling frame included different demographic groups which voluntarily took part in the study. 84 participants took part in the study. Chapati visual methods were conducted on Focus Group Discussions (FGDs) at 3 Rural Health Centres, whilst in-depth informant interviews (IDIs) and problem tree analysis were conducted at 10 clinics in urban, peri-urban, and rural areas. Thematic analysis and root-cause-analysis were used to interpret the data. Major themes identified were (a.) unavailability of savings for institutional childbirth, (b.) transport problems, and (c.) donor dependency. We recommend RoadMApp mHealth software to look beyond catering for transportation and savings for pregnancy related conditions, but inclusion of other health conditions.

Original languageEnglish
Pages (from-to)421-440
Number of pages20
JournalDevelopment Southern Africa
Volume40
Issue number2
DOIs
Publication statusPublished - 5 Apr 2022
Externally publishedYes

Keywords

  • geographically enabled mHealth
  • lower and middle income
  • maternal health
  • mobile health
  • Participatory learning approaches
  • RoadMApp

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