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Target women: Equity in access to mHealth technology in a non-communicable disease care intervention in Kenya
BACKGROUND: Non-Communicable Diseases (NCDs) constitute 40 million deaths annually. Eighty-percent of these deaths occur in Low- and Middle-Income Countries. MHealth provides a potentially highly effective modality for global public health, however access is poorly understood. The objective of our s...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6738613/ https://www.ncbi.nlm.nih.gov/pubmed/31509540 http://dx.doi.org/10.1371/journal.pone.0220834 |
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author | Ngaruiya, Christine Oti, Samuel van de Vijver, Steven Kyobutungi, Catherine Free, Caroline |
author_facet | Ngaruiya, Christine Oti, Samuel van de Vijver, Steven Kyobutungi, Catherine Free, Caroline |
author_sort | Ngaruiya, Christine |
collection | PubMed |
description | BACKGROUND: Non-Communicable Diseases (NCDs) constitute 40 million deaths annually. Eighty-percent of these deaths occur in Low- and Middle-Income Countries. MHealth provides a potentially highly effective modality for global public health, however access is poorly understood. The objective of our study was to assess equity in access to mHealth in an NCD intervention in Kenya. METHODS: This is a secondary analysis of a complex NCD intervention targeting slum residents in Kenya. The primary outcomes were: willingness to receive SMS, whether SMS was received, and access to SMS compared to alternative health information modalities. Age, sex, level of education, level of income, type of work, number of hours worked, and home environment were explanatory variables considered. Multivariable regression analyses were used to test for association using likelihood ratio testing. RESULTS: 7,618 individual participants were included in the analysis. The median age was 44 years old. Majority (75%, n = 3,691/ 4,927) had only attended up to primary (elementary) school. Majority reported earning “KShs 7,500 or greater” (27%, n = 1,276/ 4,736). Age and level of income had evidence of association with willingness to receive SMS, and age, sex and number of hours work with whether SMS was received. SMS was the health information modality with highest odds of being accessed in older age groups (OR 4.70, 8.72 and 28.89, for age brackets 60–69, 70–79 and 80 years or older, respectively), among women (OR = 1.86, 95% CI 1.19–2.89), and second only to Baraazas (community gatherings) among those with lowest income. CONCLUSION: Women had the greatest likelihood of receiving SMS. SMS performed equitably well amongst marginalized populations (elderly, women, and low-income) as compared to alternative health information modalities, though sensitization prior to implementation of mHealth interventions may be needed. These findings provide guidance for developing mHealth interventions targeting marginalized populations in these settings. |
format | Online Article Text |
id | pubmed-6738613 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-67386132019-09-20 Target women: Equity in access to mHealth technology in a non-communicable disease care intervention in Kenya Ngaruiya, Christine Oti, Samuel van de Vijver, Steven Kyobutungi, Catherine Free, Caroline PLoS One Research Article BACKGROUND: Non-Communicable Diseases (NCDs) constitute 40 million deaths annually. Eighty-percent of these deaths occur in Low- and Middle-Income Countries. MHealth provides a potentially highly effective modality for global public health, however access is poorly understood. The objective of our study was to assess equity in access to mHealth in an NCD intervention in Kenya. METHODS: This is a secondary analysis of a complex NCD intervention targeting slum residents in Kenya. The primary outcomes were: willingness to receive SMS, whether SMS was received, and access to SMS compared to alternative health information modalities. Age, sex, level of education, level of income, type of work, number of hours worked, and home environment were explanatory variables considered. Multivariable regression analyses were used to test for association using likelihood ratio testing. RESULTS: 7,618 individual participants were included in the analysis. The median age was 44 years old. Majority (75%, n = 3,691/ 4,927) had only attended up to primary (elementary) school. Majority reported earning “KShs 7,500 or greater” (27%, n = 1,276/ 4,736). Age and level of income had evidence of association with willingness to receive SMS, and age, sex and number of hours work with whether SMS was received. SMS was the health information modality with highest odds of being accessed in older age groups (OR 4.70, 8.72 and 28.89, for age brackets 60–69, 70–79 and 80 years or older, respectively), among women (OR = 1.86, 95% CI 1.19–2.89), and second only to Baraazas (community gatherings) among those with lowest income. CONCLUSION: Women had the greatest likelihood of receiving SMS. SMS performed equitably well amongst marginalized populations (elderly, women, and low-income) as compared to alternative health information modalities, though sensitization prior to implementation of mHealth interventions may be needed. These findings provide guidance for developing mHealth interventions targeting marginalized populations in these settings. Public Library of Science 2019-09-11 /pmc/articles/PMC6738613/ /pubmed/31509540 http://dx.doi.org/10.1371/journal.pone.0220834 Text en © 2019 Ngaruiya 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 Ngaruiya, Christine Oti, Samuel van de Vijver, Steven Kyobutungi, Catherine Free, Caroline Target women: Equity in access to mHealth technology in a non-communicable disease care intervention in Kenya |
title | Target women: Equity in access to mHealth technology in a non-communicable disease care intervention in Kenya |
title_full | Target women: Equity in access to mHealth technology in a non-communicable disease care intervention in Kenya |
title_fullStr | Target women: Equity in access to mHealth technology in a non-communicable disease care intervention in Kenya |
title_full_unstemmed | Target women: Equity in access to mHealth technology in a non-communicable disease care intervention in Kenya |
title_short | Target women: Equity in access to mHealth technology in a non-communicable disease care intervention in Kenya |
title_sort | target women: equity in access to mhealth technology in a non-communicable disease care intervention in kenya |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6738613/ https://www.ncbi.nlm.nih.gov/pubmed/31509540 http://dx.doi.org/10.1371/journal.pone.0220834 |
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