{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T21:57:04Z","timestamp":1789077424356,"version":"build-2803163510"},"reference-count":35,"publisher":"JMIR Publications Inc.","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Mhealth Uhealth"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Mobile phones may help young people (YP) access health information and support health service engagement. However, in low-income settings there is limited knowledge on YP\u2019s phone and internet access to inform the feasibility of implementing digital health interventions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>We investigated access to information and communication technologies among adolescents and young adults in Zimbabwe.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A cross-sectional population-based survey was conducted from October to December 2018 among YP aged 13-24 years in 5 communities in urban and peri-urban Harare and Mashonaland East, Zimbabwe. Consenting YP completed a self-completed tablet-based questionnaire on mobile phone ownership and use, and use of the internet. The primary outcome was the proportion who reported owning a mobile phone. Secondary outcomes included phone and internet access and use behavior, and ownership and use of other technological devices. Multivariable logistic regression was used to investigate factors associated with mobile phone ownership and with internet access, with adjustment for the one-stage cluster sampling design. A priori exploratory variables were age, sex, marital status, and urban\/peri-urban residence.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 634\/719 (88.2%) eligible YP, mean age 18.0 years (SD 3.3) and 62.6% (397\/634) females, participated. Of the YP interviewed, 62.6% (396\/633; 95% CI 58.5-66.5) reported owning a phone and a further 4.3% (27\/633) reported having access to a shared phone. Phone ownership increased with age: 27.0% (43\/159) of 13-15-year olds, 61.0% (72\/118) of 16-17-year olds, 71.5% (103\/144) of 18-19-year olds, and 84.7% (171\/202) of 20-24-year olds (odds ratio [OR] 1.4, 95% CI 1.3-1.5) per year increase. Ownership was similar among females and males: 61.0% (236\/387; 95% CI 55.6-66.1) versus 64.8% (153\/236; 95% CI 57.8-71.2), age-adjusted OR 0.7 (95% CI 0.5-1.1); higher in those with secondary level education compared to primary or no education: 67.1% (346\/516; 95% CI 62.6-71.2) versus 26% (21\/82; 95% CI 16.4-37.7), age-adjusted OR 2.3 (95% CI 1.1-4.8); and similar across other sociodemographic factors. YP reported that 85.3% (361\/423) of phones, either owned or shared, were smartphones. Among phone owners, the most commonly used phone app was WhatsApp (71.2%, 282\/396), and 16.4% (65\/396) reported having ever used their phone to track their health. A total of 407\/631 (64.5%; 95% CI 60.3-68.5) currently had access to the internet (used in last 3 months on any device) with access increasing with age (OR 1.2, 95% CI 1.2-1.3 per year increase). In age-adjusted analysis, internet access was higher among males, the unmarried, those with a higher level of education, phone owners, and those who had lived in the community for more than 1 year. The aspect of the internet that YP most disliked was unwanted sexual (29.2%, 136\/465) and violent (13.1%, 61\/465) content.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Mobile phone\u2013based interventions may be feasible in this population; however, such interventions could increase inequity, especially if they require access to the internet. Internet-based interventions should consider potential risks for participants and incorporate skill-building sessions on safe internet and phone use.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2196\/21244","type":"journal-article","created":{"date-parts":[[2020,10,30]],"date-time":"2020-10-30T20:58:19Z","timestamp":1604091499000},"page":"e21244","source":"Crossref","is-referenced-by-count":40,"title":["Mobile Phone Access and Implications for Digital Health Interventions Among Adolescents and Young Adults in Zimbabwe: Cross-Sectional Survey"],"prefix":"10.2196","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3305-7738","authenticated-orcid":false,"given":"Aoife M","family":"Doyle","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0066-8345","authenticated-orcid":false,"given":"Tsitsi","family":"Bandason","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3241-2512","authenticated-orcid":false,"given":"Ethel","family":"Dauya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8569-1602","authenticated-orcid":false,"given":"Grace","family":"McHugh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7042-2394","authenticated-orcid":false,"given":"Chris","family":"Grundy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1589-9250","authenticated-orcid":false,"given":"Stefanie","family":"Dringus","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1617-3603","authenticated-orcid":false,"given":"Chido","family":"Dziva Chikwari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7660-9176","authenticated-orcid":false,"given":"Rashida A","family":"Ferrand","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2021,1,13]]},"reference":[{"key":"ref1","unstructured":"LivingstoneSNandiABanajiSStoilovaMYoung Adolescents and Digital Media: Uses, Risks and Opportunities in Low- and Middle-Income Countries:  A Rapid Evidence Review20172020-12-18London, UKGagehttp:\/\/eprints.lse.ac.uk\/83753\/"},{"key":"ref2","unstructured":"United Nations General AssemblyTransforming Our World: The 2030 Agenda for Sustainable Development (A\/RES\/70\/1)20152020-12-18New York, NYUnited Nationshttps:\/\/www.un.org\/ga\/search\/view_doc.asp?symbol=A\/RES\/70\/1&Lang=E"},{"key":"ref3","unstructured":"Zimbabwe National Statistics Agency (ZIMSTAT)2015 Zimbabwe 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