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

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....

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Main Authors: Israel Mbekezeli Dabengwa, Zibusiso Nyati-Jokomo, Laurine Chikoko, Prestige Tatenda Makanga, Newton Nyapwere, Liberty Makacha
Other Authors: Research and Internationalisation Office, National University of Science and Technology, Bulawayo, Zimbabwe
Format: research article
Language:English
Published: Taylor and Francis Group 2023
Subjects:
Online Access:https://cris.library.msu.ac.zw//handle/11408/5460
https://doi.org/10.1080/0376835X.2022.2059449
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author Israel Mbekezeli Dabengwa
Zibusiso Nyati-Jokomo
Laurine Chikoko
Prestige Tatenda Makanga
Newton Nyapwere
Liberty Makacha
author2 Research and Internationalisation Office, National University of Science and Technology, Bulawayo, Zimbabwe
author_facet Research and Internationalisation Office, National University of Science and Technology, Bulawayo, Zimbabwe
Israel Mbekezeli Dabengwa
Zibusiso Nyati-Jokomo
Laurine Chikoko
Prestige Tatenda Makanga
Newton Nyapwere
Liberty Makacha
author_sort Israel Mbekezeli Dabengwa
collection DSpace
description 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.
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publishDate 2023
publisher Taylor and Francis Group
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spelling ir-11408-54602023-03-22T15:13:36Z 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 and Internationalisation Office, National University of Science and Technology, Bulawayo, Zimbabwe Community Medicine, College of Health Sciences, University of Zimbabwe, Harare, Zimbabwe Banking and Finance, Midlands State University, Gweru, Zimbabwe Faculty of Science and Technology, Place Alert Labs, Gweru, Zimbabwe Faculty of Science and Technology, Place Alert Labs, Gweru, Zimbabwe Faculty of Science and Technology, Place Alert Labs, Gweru, Zimbabwe Participatory learning approaches Maternal health RoadMApp Geographically enabled mHealth Mobile health Lower and middle income 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. 40 2 421 440 2023-03-22T15:13:36Z 2023-03-22T15:13:36Z 2022-04-05 research article https://cris.library.msu.ac.zw//handle/11408/5460 https://doi.org/10.1080/0376835X.2022.2059449 en Development Southern Africa 1470-3637 open Taylor and Francis Group
spellingShingle Participatory learning approaches
Maternal health
RoadMApp
Geographically enabled mHealth
Mobile health
Lower and middle income
Israel Mbekezeli Dabengwa
Zibusiso Nyati-Jokomo
Laurine Chikoko
Prestige Tatenda Makanga
Newton Nyapwere
Liberty Makacha
A participatory learning approach for the development of a maternal mobile health technology in Zimbabwe
title A participatory learning approach for the development of a maternal mobile health technology in Zimbabwe
title_full A participatory learning approach for the development of a maternal mobile health technology in Zimbabwe
title_fullStr A participatory learning approach for the development of a maternal mobile health technology in Zimbabwe
title_full_unstemmed A participatory learning approach for the development of a maternal mobile health technology in Zimbabwe
title_short A participatory learning approach for the development of a maternal mobile health technology in Zimbabwe
title_sort participatory learning approach for the development of a maternal mobile health technology in zimbabwe
topic Participatory learning approaches
Maternal health
RoadMApp
Geographically enabled mHealth
Mobile health
Lower and middle income
url https://cris.library.msu.ac.zw//handle/11408/5460
https://doi.org/10.1080/0376835X.2022.2059449
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