Evidence map›Paper›PMID 35228007›Full record

Observational studyInternational journal of medical informatics2022

Mobile phone access, willingness, and usage for HIV-related services among young adults living in informal urban settlements in Kenya: A cross-sectional analysis.

Larissa Jennings Mayo-Wilson, Bee-Ah Kang, Muthoni Mathai, Margaret O Mak'anyengo, Fred M Ssewamala

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in International journal of medical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 12 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 5 institutions in 2 countries.

Larissa Jennings Mayo-WilsonIndiana University School of Public Health, Department of Applied Health Sciences, 1025 E. 7th Street, Bloomington, IN 47405, USA; Johns Hopkins University, Bloomberg School of Public Health, Department of International Health, 615 N. Wolfe Street, Baltimore, MD, USA. Electronic address: ljmayowi@iu.edu.
Bee-Ah KangJohns Hopkins University, Bloomberg School of Public Health, Department of International Health, 615 N. Wolfe Street, Baltimore, MD, USA.
Muthoni MathaiUniversity of Nairobi, College of Health Sciences, Department of Psychiatry. Kenyatta National Hospital, Off-Ngong Road, Nairobi, Kenya; National Health and Development Organization (NAHEDO), Kenyatta National Hospital, Department of Mental Health, Ralph Bunche Road, P.O. Box 20453 Nairobi, Kenya.
Margaret O Mak'anyengoNational Health and Development Organization (NAHEDO), Kenyatta National Hospital, Department of Mental Health, Ralph Bunche Road, P.O. Box 20453 Nairobi, Kenya.
Fred M SsewamalaWashington University in St. Louis, The Brown School, Goldfarb, Room 235, Campus Box 1196, One Brookings, Drive, St. Louis, MO 63130, USA. Electronic address: fms1@wustl.edu.
Indiana University Bloomington · USJohns Hopkins University · USKenyatta National Hospital · KEUniversity of Nairobi · KEWashington University in St. Louis · US

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
Training Program for Scientists Conducting Research to Reduce HIV Health DisparitR25MH067127 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Emily A Arnold, Torsten Brian Neilands · 2003 to 2026
$5.4M
Integrating Microenterprise and Behavioral Economics for HIV Prevention in African-American Young AdultsK01MH107310 · NIMH · TRUSTEES OF INDIANA UNIVERSITY · PI JENNINGS MAYO-WILSON, LARISSA · 2015 to 2019
$848k
Strengthening community responses to economic vulnerability and HIV inequitiesR34MH130207 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GAMAREL, KRISTI E, JENNINGS MAYO-WILSON, LARISSA · 2022 to 2024
$675k
NIAID NIH HHS P30 AI094189NIMH NIH HHS K01 MH107310NIMH NIH HHS R25 MH067127NIMH NIH HHS R34 MH130207
6 · The paper itself

Abstract

backgroundMobile phone-based health (mHealth) interventions have the potential to improve HIV outcomes for high-risk young adults living in informal urban settlements in Kenya. However, less is known regarding young adults' differential access to mobile phones and their willingness and use of mobile phone technologies to access HIV prevention, care, and treatment services. This is important as young adults make up the largest demographic segment of impoverished, informal urban settlements and are disproportionately impacted by HIV.

methodsThis study used observational survey data from 350 young adults, aged 18-22, who were living informal urban settlements in Nairobi, Kenya. Respondent driven sampling methods were used to recruit and enroll eligible youth. Using descriptive statistics and logistical regressions, we examined the prevalence of mobile phone access, willingness, and use for HIV services. We also assessed associated demographic characteristics in the odds of access, willingness, and use.

resultsThe mean age of participants was 19 years (±1.3). 56% were male. Mobile phone coverage, including text messaging and mobile internet, was high (>80%), but only 15% of young adults had ever used mobile phones to access HIV services. Willingness was high (65%), especially among those who had individual phone access (77%) compared to lower willingness (18%) among those who shared a phone. More educated (OR = 1.84, 95 %CI:1.14-2.97) and employed (OR = 1.70, 95 %CI:1.02 = 2.83) young adults were also more willing to use phones for HIV services. In contrast, participants living in large households (OR = 0.47, 95 %CI:0.24-0.921), were religious minorities (OR = 0.56, 95 %CI:0.32-0.99), partnered/married (OR = 0.30, 95 %CI:0.10-0.91), or female (OR = 0.29, 95 %CI:0.16-0.55) were significantly less likely to have mobile phone access or usage, limiting their potential participation in HIV-related mHealth interventions. Given the low usage of mobile phones currently for HIV services, no differences in demographic characteristics were observed.

conclusionMobile health technologies may be under-utilized in HIV services for at-risk youth. Our findings highlight the importance of preliminary, formative research regarding population differences in access, willingness, and use of mobile phones for HIV services. More efforts are needed to ensure that mHealth interventions account for potential differences in preferences for mobile phone-based HIV interventions by gender, age, religion, education, and/or employment status.

Indexed as

Cell PhoneHIV InfectionsTelemedicineText MessagingAdolescentAdultCross-Sectional StudiesFemaleHumansKenyaMaleYoung AdultEconomicHIVInformal urban settlementKenyamHealthMobile phoneRDSRespondent driven samplingSlumYoung adult

Identifiers

PMID35228007
PMCPMC8940651
OpenAlexW4213415871

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.