Mobile technology access and use among youth in Nairobi, Kenya: implications for mobile health intervention design.
Kenya
Youth
human immunodeficiency virus (HIV)
smartphone
social media
Journal
mHealth
ISSN: 2306-9740
Titre abrégé: Mhealth
Pays: China
ID NLM: 101678564
Informations de publication
Date de publication:
2022
2022
Historique:
received:
12
06
2021
accepted:
20
10
2021
entrez:
18
2
2022
pubmed:
19
2
2022
medline:
19
2
2022
Statut:
epublish
Résumé
Social media can be used to support the health of underserved youth beyond clinical settings. Young people are avid users of social media, but estimates of smartphone access among youth in sub-Saharan Africa are lacking, making it difficult to determine context-appropriateness of online and social media interventions. We conducted a cross-sectional observational survey assessing technology access and use among youth aged 14-24 receiving general outpatient or human immunodeficiency virus (HIV) care in three hospitals in Nairobi, Kenya. Correlates of smartphone access and social media use were evaluated by Poisson regression. Of 600 youth, 301 were receiving general outpatient care and 299 HIV care. Median age was 18 years. Overall, 416 (69%) had access to a mobile phone and 288 (48%) to a smartphone. Of those with smartphones, 260 (90%) used social media. Smartphone access varied by facility (40% at the sub-county hospital These data suggest that smartphone-based and social media interventions are accessible in Nairobi, Kenya, in the general population and youth living with HIV, and most appropriate for older youth. Intervention developers and policymakers should consider smartphone and social media interventions as candidates for youth health programs, while noting that heterogeneity of access between and within communities requires tailoring to the specific intervention context to avoid excluding the most vulnerable youth.
Sections du résumé
BACKGROUND
BACKGROUND
Social media can be used to support the health of underserved youth beyond clinical settings. Young people are avid users of social media, but estimates of smartphone access among youth in sub-Saharan Africa are lacking, making it difficult to determine context-appropriateness of online and social media interventions.
METHODS
METHODS
We conducted a cross-sectional observational survey assessing technology access and use among youth aged 14-24 receiving general outpatient or human immunodeficiency virus (HIV) care in three hospitals in Nairobi, Kenya. Correlates of smartphone access and social media use were evaluated by Poisson regression.
RESULTS
RESULTS
Of 600 youth, 301 were receiving general outpatient care and 299 HIV care. Median age was 18 years. Overall, 416 (69%) had access to a mobile phone and 288 (48%) to a smartphone. Of those with smartphones, 260 (90%) used social media. Smartphone access varied by facility (40% at the sub-county hospital
CONCLUSIONS
CONCLUSIONS
These data suggest that smartphone-based and social media interventions are accessible in Nairobi, Kenya, in the general population and youth living with HIV, and most appropriate for older youth. Intervention developers and policymakers should consider smartphone and social media interventions as candidates for youth health programs, while noting that heterogeneity of access between and within communities requires tailoring to the specific intervention context to avoid excluding the most vulnerable youth.
Identifiants
pubmed: 35178438
doi: 10.21037/mhealth-21-23
pii: mh-08-21-23
pmc: PMC8800198
doi:
Types de publication
Journal Article
Langues
eng
Pagination
7Subventions
Organisme : FIC NIH HHS
ID : D43 TW009580
Pays : United States
Organisme : NIMH NIH HHS
ID : K18 MH122978
Pays : United States
Organisme : NICHD NIH HHS
ID : K24 HD054314
Pays : United States
Organisme : NIAID NIH HHS
ID : P30 AI027757
Pays : United States
Informations de copyright
2022 mHealth. All rights reserved.
Déclaration de conflit d'intérêts
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://dx.doi.org/10.21037/mhealth-21-23). CM was supported by National Institutes of Health grant D43TW009580. BLG declares funding from National Institutes of Health (grant P30AI027757). GJS declared funding from National Institutes of Health (grants K24HD054314 and P30AI027757). KR declares funding from National Institutes of Health (grants K18MH122978 and P30AI027757). The other authors have no conflicts of interest to declare.
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