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Does having a mobile phone matter? Linking phone access among women to health in India: An exploratory analysis of the National Family Health Survey

BACKGROUND: The disruptive potential of mobile phones in catalyzing development is increasingly being recognized. However, numerous gaps remain in access to phones and their influence on health care utilization. In this cross-sectional study from India, we assess the gaps in women’s access to phones...

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Autores principales: Mohan, Diwakar, Bashingwa, Jean Juste Harrisson, Tiffin, Nicki, Dhar, Diva, Mulder, Nicola, George, Asha, LeFevre, Amnesty E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7371204/
https://www.ncbi.nlm.nih.gov/pubmed/32687527
http://dx.doi.org/10.1371/journal.pone.0236078
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author Mohan, Diwakar
Bashingwa, Jean Juste Harrisson
Tiffin, Nicki
Dhar, Diva
Mulder, Nicola
George, Asha
LeFevre, Amnesty E.
author_facet Mohan, Diwakar
Bashingwa, Jean Juste Harrisson
Tiffin, Nicki
Dhar, Diva
Mulder, Nicola
George, Asha
LeFevre, Amnesty E.
author_sort Mohan, Diwakar
collection PubMed
description BACKGROUND: The disruptive potential of mobile phones in catalyzing development is increasingly being recognized. However, numerous gaps remain in access to phones and their influence on health care utilization. In this cross-sectional study from India, we assess the gaps in women’s access to phones, their influencing factors, and their influence on health care utilization. METHODS: Data drawn from the 2015 National Family Health Survey (NFHS) in India included a national sample of 45,231 women with data on phone access. Survey design weighted estimates of household phone ownership and women’s access among different population sub-groups are presented. Multilevel logistic models explored the association of phone access with a wide range of maternal and child health indicators. Blinder-Oaxaca (BO) decomposition is used to decompose the gaps between women with and without phone access in health care utilization into components explained by background characteristics influencing phone access (endowments) and unexplained components (coefficients), potentially attributable to phone access itself. FINDINGS: Phone ownership at the household level was 92·8% (95% CI: 92·6–93·0%), with rural ownership at 91·1% (90·8–91·4%) and urban at 97.1% (96·7–97·3%). Women’s access to phones was 47·8% (46·7–48·8%); 41·6% in rural areas (40·5–42·6%) and 62·7% (60·4–64·8%) in urban. Phone access in urban areas was positively associated with skilled birth attendance, postnatal care and use of modern contraceptives and negatively associated with early antenatal care. Phone access was not associated with improvements in utilization indicators in rural settings. Phone access (coefficient components) explained large gaps in the use of modern contraceptives, moderate gaps in postnatal care and early antenatal care, and smaller differences in the use of skilled birth attendance and immunization. For full antenatal car, phone access was associated with reducing gaps in utilization. INTERPRETATION: Women of reproductive age have significantly lower phone access use than the households they belong to and marginalized women have the least phone access. Existing phone access for rural women did not improve their health care utilization but was associated with greater utilization for urban women. Without addressing these biases, digital health programs may be at risk of worsening existing health inequities.
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spelling pubmed-73712042020-07-29 Does having a mobile phone matter? Linking phone access among women to health in India: An exploratory analysis of the National Family Health Survey Mohan, Diwakar Bashingwa, Jean Juste Harrisson Tiffin, Nicki Dhar, Diva Mulder, Nicola George, Asha LeFevre, Amnesty E. PLoS One Research Article BACKGROUND: The disruptive potential of mobile phones in catalyzing development is increasingly being recognized. However, numerous gaps remain in access to phones and their influence on health care utilization. In this cross-sectional study from India, we assess the gaps in women’s access to phones, their influencing factors, and their influence on health care utilization. METHODS: Data drawn from the 2015 National Family Health Survey (NFHS) in India included a national sample of 45,231 women with data on phone access. Survey design weighted estimates of household phone ownership and women’s access among different population sub-groups are presented. Multilevel logistic models explored the association of phone access with a wide range of maternal and child health indicators. Blinder-Oaxaca (BO) decomposition is used to decompose the gaps between women with and without phone access in health care utilization into components explained by background characteristics influencing phone access (endowments) and unexplained components (coefficients), potentially attributable to phone access itself. FINDINGS: Phone ownership at the household level was 92·8% (95% CI: 92·6–93·0%), with rural ownership at 91·1% (90·8–91·4%) and urban at 97.1% (96·7–97·3%). Women’s access to phones was 47·8% (46·7–48·8%); 41·6% in rural areas (40·5–42·6%) and 62·7% (60·4–64·8%) in urban. Phone access in urban areas was positively associated with skilled birth attendance, postnatal care and use of modern contraceptives and negatively associated with early antenatal care. Phone access was not associated with improvements in utilization indicators in rural settings. Phone access (coefficient components) explained large gaps in the use of modern contraceptives, moderate gaps in postnatal care and early antenatal care, and smaller differences in the use of skilled birth attendance and immunization. For full antenatal car, phone access was associated with reducing gaps in utilization. INTERPRETATION: Women of reproductive age have significantly lower phone access use than the households they belong to and marginalized women have the least phone access. Existing phone access for rural women did not improve their health care utilization but was associated with greater utilization for urban women. Without addressing these biases, digital health programs may be at risk of worsening existing health inequities. Public Library of Science 2020-07-20 /pmc/articles/PMC7371204/ /pubmed/32687527 http://dx.doi.org/10.1371/journal.pone.0236078 Text en © 2020 Mohan 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
Mohan, Diwakar
Bashingwa, Jean Juste Harrisson
Tiffin, Nicki
Dhar, Diva
Mulder, Nicola
George, Asha
LeFevre, Amnesty E.
Does having a mobile phone matter? Linking phone access among women to health in India: An exploratory analysis of the National Family Health Survey
title Does having a mobile phone matter? Linking phone access among women to health in India: An exploratory analysis of the National Family Health Survey
title_full Does having a mobile phone matter? Linking phone access among women to health in India: An exploratory analysis of the National Family Health Survey
title_fullStr Does having a mobile phone matter? Linking phone access among women to health in India: An exploratory analysis of the National Family Health Survey
title_full_unstemmed Does having a mobile phone matter? Linking phone access among women to health in India: An exploratory analysis of the National Family Health Survey
title_short Does having a mobile phone matter? Linking phone access among women to health in India: An exploratory analysis of the National Family Health Survey
title_sort does having a mobile phone matter? linking phone access among women to health in india: an exploratory analysis of the national family health survey
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7371204/
https://www.ncbi.nlm.nih.gov/pubmed/32687527
http://dx.doi.org/10.1371/journal.pone.0236078
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