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

Journal: International journal of medical informatics

Volume: 161

Issue: 

Year of Publication: 2022

Affiliated Institutions:  Indiana University School of Public Health, Department of Applied Health Sciences, E. th Street, Bloomington, IN , USA; Johns Hopkins University, Bloomberg School of Public Health, Department of International Health, N. Wolfe Street, Baltimore, MD, USA. Electronic address: ljmayowi@iu.edu. Johns Hopkins University, Bloomberg School of Public Health, Department of International Health, N. Wolfe Street, Baltimore, MD, USA. University 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 Nairobi, Kenya. National Health and Development Organization (NAHEDO), Kenyatta National Hospital, Department of Mental Health, Ralph Bunche Road, P.O. Box Nairobi, Kenya. Washington University in St. Louis, The Brown School, Goldfarb, Room , Campus Box , One Brookings, Drive, St. Louis, MO , USA. Electronic address: fms@wustl.edu.

Abstract summary 

Mobile 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.This 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.The 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.Mobile 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.

Authors & Co-authors:  Jennings Mayo-Wilson Kang Mathai Mak'anyengo Ssewamala

Study Outcome 

Source Link: Visit source

Statistics
Citations :  Klasnja P, & Pratt W (2012). Healthcare in the pocket: Mapping the space of mobile-phone health interventions. Journal of Biomedical Informatics, 45(1), 184–198.
Authors :  5
Identifiers
Doi : 10.1016/j.ijmedinf.2022.104728
SSN : 1872-8243
Study Population
Female
Mesh Terms
Adolescent
Other Terms
Economic;HIV;Informal urban settlement;Kenya;Mobile phone;RDS;Respondent driven sampling;Slum;Young adult;mHealth
Study Design
Study Approach
Country of Study
Kenya
Publication Country
Ireland