Cargando…

“I am not telling. The mobile is telling”: Factors influencing the outcomes of a community health worker mHealth intervention in India

INTRODUCTION: Improving maternal health outcomes remains a priority in Low and Middle Income Countries. With the rapid proliferation of mobile health technologies, there is an increased interest in understanding how these technologies can effectively improve maternal health outcomes particularly mat...

Descripción completa

Detalles Bibliográficos
Autores principales: Ilozumba, Onaedo, Dieleman, Marjolein, Kraamwinkel, Nadine, Van Belle, Sara, Chaudoury, Murari, Broerse, Jacqueline E. W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870994/
https://www.ncbi.nlm.nih.gov/pubmed/29584773
http://dx.doi.org/10.1371/journal.pone.0194927
_version_ 1783309580648841216
author Ilozumba, Onaedo
Dieleman, Marjolein
Kraamwinkel, Nadine
Van Belle, Sara
Chaudoury, Murari
Broerse, Jacqueline E. W.
author_facet Ilozumba, Onaedo
Dieleman, Marjolein
Kraamwinkel, Nadine
Van Belle, Sara
Chaudoury, Murari
Broerse, Jacqueline E. W.
author_sort Ilozumba, Onaedo
collection PubMed
description INTRODUCTION: Improving maternal health outcomes remains a priority in Low and Middle Income Countries. With the rapid proliferation of mobile health technologies, there is an increased interest in understanding how these technologies can effectively improve maternal health outcomes particularly maternal health seeking knowledge and behaviors. However, few studies present clear explanations of the program developers’ rationale (theory of change) and contextual factors that could influence program outcomes. This mixed-methods study assesses Mobile for Mothers, a community health workers (CHW) utilized maternal mHealth intervention. We present the program developers’ rationale and utilize it as a framework to guide our study that aimed to identify intervention-related and contextual factors, which influence the observed outcomes of a CHW, utilized mHealth intervention. MATERIALS AND METHODS: Quantitative methods (a questionnaire with 740 women who received the intervention and survey of 57 CHWs who utilized the intervention) and qualitative methods (12 interviews and 4 group discussions with CHWs and 20 interviews and 5 group discussions with pregnant and lactating women and 15 interviews and 2 group discussions with men) were conducted. These were used to understand how the mHealth intervention was implemented and to gain insight into contextual factors that potentially influenced the observed intervention outcomes. RESULTS: Results were grouped following three categories: (1) perceptions and experiences of CHWs utilizing the mHealth technology; (2) CHW-related outcomes; and (3) contextual factors that influence maternal health-seeking behavior. The overall response of CHWs and community members to the intervention was positive. However, contextual factors like the relationship between the CHWs and their respective communities, the pregnant women’s decision-making power and lack of access due to financial influenced the observed outcomes. CONCLUSION: Mobile health applications are promising interventions for improving the performance of CHWs and health-seeking behavior of pregnant women. However, the contextual factors play a crucial role in intervention outcomes and need to be explicated by program developers during intervention design and implementation.
format Online
Article
Text
id pubmed-5870994
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-58709942018-04-06 “I am not telling. The mobile is telling”: Factors influencing the outcomes of a community health worker mHealth intervention in India Ilozumba, Onaedo Dieleman, Marjolein Kraamwinkel, Nadine Van Belle, Sara Chaudoury, Murari Broerse, Jacqueline E. W. PLoS One Research Article INTRODUCTION: Improving maternal health outcomes remains a priority in Low and Middle Income Countries. With the rapid proliferation of mobile health technologies, there is an increased interest in understanding how these technologies can effectively improve maternal health outcomes particularly maternal health seeking knowledge and behaviors. However, few studies present clear explanations of the program developers’ rationale (theory of change) and contextual factors that could influence program outcomes. This mixed-methods study assesses Mobile for Mothers, a community health workers (CHW) utilized maternal mHealth intervention. We present the program developers’ rationale and utilize it as a framework to guide our study that aimed to identify intervention-related and contextual factors, which influence the observed outcomes of a CHW, utilized mHealth intervention. MATERIALS AND METHODS: Quantitative methods (a questionnaire with 740 women who received the intervention and survey of 57 CHWs who utilized the intervention) and qualitative methods (12 interviews and 4 group discussions with CHWs and 20 interviews and 5 group discussions with pregnant and lactating women and 15 interviews and 2 group discussions with men) were conducted. These were used to understand how the mHealth intervention was implemented and to gain insight into contextual factors that potentially influenced the observed intervention outcomes. RESULTS: Results were grouped following three categories: (1) perceptions and experiences of CHWs utilizing the mHealth technology; (2) CHW-related outcomes; and (3) contextual factors that influence maternal health-seeking behavior. The overall response of CHWs and community members to the intervention was positive. However, contextual factors like the relationship between the CHWs and their respective communities, the pregnant women’s decision-making power and lack of access due to financial influenced the observed outcomes. CONCLUSION: Mobile health applications are promising interventions for improving the performance of CHWs and health-seeking behavior of pregnant women. However, the contextual factors play a crucial role in intervention outcomes and need to be explicated by program developers during intervention design and implementation. Public Library of Science 2018-03-27 /pmc/articles/PMC5870994/ /pubmed/29584773 http://dx.doi.org/10.1371/journal.pone.0194927 Text en © 2018 Ilozumba et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ilozumba, Onaedo
Dieleman, Marjolein
Kraamwinkel, Nadine
Van Belle, Sara
Chaudoury, Murari
Broerse, Jacqueline E. W.
“I am not telling. The mobile is telling”: Factors influencing the outcomes of a community health worker mHealth intervention in India
title “I am not telling. The mobile is telling”: Factors influencing the outcomes of a community health worker mHealth intervention in India
title_full “I am not telling. The mobile is telling”: Factors influencing the outcomes of a community health worker mHealth intervention in India
title_fullStr “I am not telling. The mobile is telling”: Factors influencing the outcomes of a community health worker mHealth intervention in India
title_full_unstemmed “I am not telling. The mobile is telling”: Factors influencing the outcomes of a community health worker mHealth intervention in India
title_short “I am not telling. The mobile is telling”: Factors influencing the outcomes of a community health worker mHealth intervention in India
title_sort “i am not telling. the mobile is telling”: factors influencing the outcomes of a community health worker mhealth intervention in india
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870994/
https://www.ncbi.nlm.nih.gov/pubmed/29584773
http://dx.doi.org/10.1371/journal.pone.0194927
work_keys_str_mv AT ilozumbaonaedo iamnottellingthemobileistellingfactorsinfluencingtheoutcomesofacommunityhealthworkermhealthinterventioninindia
AT dielemanmarjolein iamnottellingthemobileistellingfactorsinfluencingtheoutcomesofacommunityhealthworkermhealthinterventioninindia
AT kraamwinkelnadine iamnottellingthemobileistellingfactorsinfluencingtheoutcomesofacommunityhealthworkermhealthinterventioninindia
AT vanbellesara iamnottellingthemobileistellingfactorsinfluencingtheoutcomesofacommunityhealthworkermhealthinterventioninindia
AT chaudourymurari iamnottellingthemobileistellingfactorsinfluencingtheoutcomesofacommunityhealthworkermhealthinterventioninindia
AT broersejacquelineew iamnottellingthemobileistellingfactorsinfluencingtheoutcomesofacommunityhealthworkermhealthinterventioninindia