TY - JOUR
T1 - A participatory learning approach for the development of a maternal mobile health technology in Zimbabwe
AU - Dabengwa, Israel Mbekezeli
AU - Nyati-Jokomo, Zibusiso
AU - Chikoko, Laurine
AU - Makanga, Prestige Tatenda
AU - Nyapwere, Newton
AU - Makacha, Liberty
N1 - Publisher Copyright:
© 2022 Government Technical Advisory Centre (GTAC).
PY - 2022/4/5
Y1 - 2022/4/5
N2 - 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.
AB - 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.
KW - geographically enabled mHealth
KW - lower and middle income
KW - maternal health
KW - mobile health
KW - Participatory learning approaches
KW - RoadMApp
U2 - 10.1080/0376835X.2022.2059449
DO - 10.1080/0376835X.2022.2059449
M3 - Article
AN - SCOPUS:85129143970
SN - 0376-835X
VL - 40
SP - 421
EP - 440
JO - Development Southern Africa
JF - Development Southern Africa
IS - 2
ER -