Does women’s mobile phone ownership matter for health? Evidence from 15 countries
Mobile phones have the potential to increase access to health information, improve patient–provider communication, and influence the content and quality of health services received. Evidence on the gender gap in ownership of mobile phones is limited, and efforts to link phone ownership among women t...
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| Vydané v: | BMJ global health Ročník 5; číslo 5; s. e002524 |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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England
BMJ Publishing Group Ltd
01.05.2020
BMJ Publishing Group LTD BMJ Publishing Group |
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| ISSN: | 2059-7908, 2059-7908 |
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| Abstract | Mobile phones have the potential to increase access to health information, improve patient–provider communication, and influence the content and quality of health services received. Evidence on the gender gap in ownership of mobile phones is limited, and efforts to link phone ownership among women to care-seeking and practices for reproductive maternal newborn and child health (RMNCH) have yet to be made. This analysis aims to assess household and women’s access to phones and its effects on RMNCH health outcomes in 15 countries for which Demographic and Health Surveys data on phone ownership are available. Multilevel logistic regression models were used to explore factors associated with women’s phone ownership, along with the association of phone ownership to a wide range of RMNCH indicators. Study findings suggest that (1) gender gaps in mobile phone ownership vary, but they can be substantial, with less than half of women owning mobile phones in several countries; (2) the gender gap in phone ownership is larger for rural and poorer women; (3) women’s phone ownership is generally associated with better RMNCH indicators; (4) among women phone owners, utilisation of RMNCH care-seeking and practices differs based on their income status; and (5) more could be done to unleash the potential of mobile phones on women’s health if data gaps and varied metrics are addressed. Findings reinforce the notion that without addressing the gender gap in phone ownership, digital health programmes may be at risk of worsening existing health inequities. |
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| AbstractList | Mobile phones have the potential to increase access to health information, improve patient–provider communication, and influence the content and quality of health services received. Evidence on the gender gap in ownership of mobile phones is limited, and efforts to link phone ownership among women to care-seeking and practices for reproductive maternal newborn and child health (RMNCH) have yet to be made. This analysis aims to assess household and women’s access to phones and its effects on RMNCH health outcomes in 15 countries for which Demographic and Health Surveys data on phone ownership are available. Multilevel logistic regression models were used to explore factors associated with women’s phone ownership, along with the association of phone ownership to a wide range of RMNCH indicators. Study findings suggest that (1) gender gaps in mobile phone ownership vary, but they can be substantial, with less than half of women owning mobile phones in several countries; (2) the gender gap in phone ownership is larger for rural and poorer women; (3) women’s phone ownership is generally associated with better RMNCH indicators; (4) among women phone owners, utilisation of RMNCH care-seeking and practices differs based on their income status; and (5) more could be done to unleash the potential of mobile phones on women’s health if data gaps and varied metrics are addressed. Findings reinforce the notion that without addressing the gender gap in phone ownership, digital health programmes may be at risk of worsening existing health inequities. Mobile phones have the potential to increase access to health information, improve patient-provider communication, and influence the content and quality of health services received. Evidence on the gender gap in ownership of mobile phones is limited, and efforts to link phone ownership among women to care-seeking and practices for reproductive maternal newborn and child health (RMNCH) have yet to be made. This analysis aims to assess household and women's access to phones and its effects on RMNCH health outcomes in 15 countries for which Demographic and Health Surveys data on phone ownership are available. Multilevel logistic regression models were used to explore factors associated with women's phone ownership, along with the association of phone ownership to a wide range of RMNCH indicators. Study findings suggest that (1) gender gaps in mobile phone ownership vary, but they can be substantial, with less than half of women owning mobile phones in several countries; (2) the gender gap in phone ownership is larger for rural and poorer women; (3) women's phone ownership is generally associated with better RMNCH indicators; (4) among women phone owners, utilisation of RMNCH care-seeking and practices differs based on their income status; and (5) more could be done to unleash the potential of mobile phones on women's health if data gaps and varied metrics are addressed. Findings reinforce the notion that without addressing the gender gap in phone ownership, digital health programmes may be at risk of worsening existing health inequities.Mobile phones have the potential to increase access to health information, improve patient-provider communication, and influence the content and quality of health services received. Evidence on the gender gap in ownership of mobile phones is limited, and efforts to link phone ownership among women to care-seeking and practices for reproductive maternal newborn and child health (RMNCH) have yet to be made. This analysis aims to assess household and women's access to phones and its effects on RMNCH health outcomes in 15 countries for which Demographic and Health Surveys data on phone ownership are available. Multilevel logistic regression models were used to explore factors associated with women's phone ownership, along with the association of phone ownership to a wide range of RMNCH indicators. Study findings suggest that (1) gender gaps in mobile phone ownership vary, but they can be substantial, with less than half of women owning mobile phones in several countries; (2) the gender gap in phone ownership is larger for rural and poorer women; (3) women's phone ownership is generally associated with better RMNCH indicators; (4) among women phone owners, utilisation of RMNCH care-seeking and practices differs based on their income status; and (5) more could be done to unleash the potential of mobile phones on women's health if data gaps and varied metrics are addressed. Findings reinforce the notion that without addressing the gender gap in phone ownership, digital health programmes may be at risk of worsening existing health inequities. |
| Author | Mohan, Diwakar George, Asha S Shah, Neha LeFevre, Amnesty E Bashingwa, Jean Juste Harrisson |
| AuthorAffiliation | 4 School of Public Health , University of the Western Cape , Bellville , South Africa 1 Faculty of Health Sciences , University of Cape Town , Observatory , Western Cape , South Africa 2 International Health , Johns Hopkins University Bloomberg School of Public Health , Baltimore , Maryland , USA 3 Computational Biology Division, Faculty of Health Sciences , University of Cape Town , Cape Town , South Africa |
| AuthorAffiliation_xml | – name: 1 Faculty of Health Sciences , University of Cape Town , Observatory , Western Cape , South Africa – name: 4 School of Public Health , University of the Western Cape , Bellville , South Africa – name: 2 International Health , Johns Hopkins University Bloomberg School of Public Health , Baltimore , Maryland , USA – name: 3 Computational Biology Division, Faculty of Health Sciences , University of Cape Town , Cape Town , South Africa |
| Author_xml | – sequence: 1 givenname: Amnesty E orcidid: 0000-0001-8437-7240 surname: LeFevre fullname: LeFevre, Amnesty E email: aelefevre@gmail.com organization: International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA – sequence: 2 givenname: Neha surname: Shah fullname: Shah, Neha organization: International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA – sequence: 3 givenname: Jean Juste Harrisson surname: Bashingwa fullname: Bashingwa, Jean Juste Harrisson organization: Computational Biology Division, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa – sequence: 4 givenname: Asha S orcidid: 0000-0002-5968-1424 surname: George fullname: George, Asha S organization: School of Public Health, University of the Western Cape, Bellville, South Africa – sequence: 5 givenname: Diwakar surname: Mohan fullname: Mohan, Diwakar organization: International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32424014$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1186/1475-9276-12-85 10.1057/s41271-016-0015-2 10.1136/bmjgh-2017-000578 10.2196/jmir.7428 10.2196/jmir.7331 10.1016/j.wsif.2011.07.001 10.1016/j.contraception.2018.11.006 10.2196/12173 10.1186/s13063-019-3369-5 10.1093/pubmed/fdy180 10.1136/bmjgh-2017-000567 |
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| References | LeFevre, Agarwal, Chamberlain (R21) 2019; 20 Gibson, Pereira, Farrenkopf (R16) 2017; 19 Greenleaf, Gibson, Khattar (R17) 2017; 19 Jennings, Gagliardi (R6) 2013; 12 Barron, Pillay, Fernandes (R14) 2016; 37 Gill, Brooks, McDougall (R5) 2010 Murphy, Priebe (R8) 2011; 1 George, Morgan, Larson (R9) 2018; 40 Engelhard, Copley, Watson (R12) 2018 LeFevre, Scott, Mohan (R18) 2019; 8 George, Morgan, Larson (R20) 2018; 40 Xiong, Kamunyori, Sebidi (R13) 2018; 3 Greenleaf, Ahmed, Moreau (R10) 2019; 99 Hilbert (R19) 2011; 34 Rowntree (R2) 2019 LeFevre, Agarwal, Chamberlain 2019; 20 Hilbert 2011; 34 Greenleaf, Ahmed, Moreau 2019; 99 Gill, Brooks, McDougall 2010 Xiong, Kamunyori, Sebidi 2018; 3 Murphy, Priebe 2011; 1 LeFevre, Scott, Mohan 2019; 8 Barron, Pillay, Fernandes 2016; 37 Greenleaf, Gibson, Khattar 2017; 19 Engelhard, Copley, Watson 2018 Rowntree 2019 Jennings, Gagliardi 2013; 12 Gibson, Pereira, Farrenkopf 2017; 19 George, Morgan, Larson 2018; 40 2025072914003926000_5.5.e002524.4 2025072914003926000_5.5.e002524.3 Greenleaf (2025072914003926000_5.5.e002524.10) 2019; 99 2025072914003926000_5.5.e002524.2 2025072914003926000_5.5.e002524.14 2025072914003926000_5.5.e002524.1 2025072914003926000_5.5.e002524.15 2025072914003926000_5.5.e002524.12 2025072914003926000_5.5.e002524.7 2025072914003926000_5.5.e002524.13 2025072914003926000_5.5.e002524.6 2025072914003926000_5.5.e002524.5 2025072914003926000_5.5.e002524.11 2025072914003926000_5.5.e002524.19 George (2025072914003926000_5.5.e002524.9) 2018; 40 Murphy (2025072914003926000_5.5.e002524.8) 2011; 1 Greenleaf (2025072914003926000_5.5.e002524.17) 2017; 19 LeFevre (2025072914003926000_5.5.e002524.21) 2019; 20 Gibson (2025072914003926000_5.5.e002524.16) 2017; 19 LeFevre (2025072914003926000_5.5.e002524.18) 2019; 8 George (2025072914003926000_5.5.e002524.20) 2018; 40 |
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Protocol for an individually randomized controlled trial publication-title: Trials doi: 10.1186/s13063-019-3369-5 – ident: 2025072914003926000_5.5.e002524.11 |
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| SubjectTerms | Access to information Analysis Cellular telephones Children & youth Childrens health Families & family life Family planning Gender Global health Health services Internet access Low income groups Postpartum period Prenatal care Public health Rural areas Social norms Sociodemographics Tetanus Urban areas Womens health |
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| Title | Does women’s mobile phone ownership matter for health? Evidence from 15 countries |
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