Retention in an mHealth App Aiming to Promote the Use of HIV Pre-Exposure Prophylaxis Among Female Sex Workers in Dar es Salaam, Tanzania: Prospective Cohort Study

被引:1
作者
Mbotwa, Christopher H. [1 ,2 ]
Kazaura, Method R. [1 ]
Moen, Kare [3 ]
Leshabari, Melkizedeck T. [4 ]
Metta, Emmy [4 ]
Mmbaga, Elia J. [1 ,3 ]
机构
[1] Muhimbili Univ Hlth & Allied Sci, Dept Epidemiol & Biostat, POB 65015, Dar Es Salaam 11103, Tanzania
[2] Univ Dar Es Salaam, Mbeya Coll Hlth & Allied Sci, Mbeya, Tanzania
[3] Univ Oslo, Fac Med, Dept Community Med & Global Hlth, Oslo, Norway
[4] Muhimbili Univ Hlth & Allied Sci, Dept Behav Sci, Dar Es Salaam, Tanzania
来源
JMIR MHEALTH AND UHEALTH | 2023年 / 11卷
关键词
mobile health; retention; engagement; mHealth; sex workers; pre-exposure prophylaxis; HIV; Africa; PrEP; HEALTH; RISK; SUPPORT;
D O I
10.2196/46853
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Increasing access to smartphones in sub-Saharan Africa offers an opportunity to leverage mobile health (mHealth) technology to improve access to health care in underserved populations. In the domain of HIV prevention, mHealth interventions can potentially contribute to solving the challenges of suboptimal adherence to pre-exposure prophylaxis (PrEP) and low retention in PrEP services among populations most vulnerable to HIV acquisition. However, there is a gap in the knowledge about the use of such interventions in sub-Saharan Africa. Objective: This study aims to evaluate the extent and predictors of retention in an mHealth app (Jichunge) that aims to promote adherence to PrEP and retention in PrEP care among female sex workers in Dar es Salaam, Tanzania. Methods: A prospective cohort of female sex workers residing in Dar es Salaam were recruited, using respondent-driven sampling. All participants were provided with the Jichunge app as they started PrEP. A questionnaire was used to collect data on sociodemographics and other structural factors, while app use data for the 60-day period following the first 150 days of being in the intervention arm were extracted from the app's back end. A multivariable log-binomial model was used to determine predictors of 6-month retention in the Jichunge app. Results: A total of 470 female sex workers were recruited. Nearly three-quarters of participants (206/284, 72.5%) who came to the 6-month follow-up interview no longer had the Jichunge app on their phones. The majority of these participants (193/206, 93.7%) no longer had access to the app because of issues related to their phones. Data extracted from the back end of the app showed that the use of the app declined over time, and only 13.4% (63/470) of the participants were retained (continued to use the app) after 6 months of intervention. At 6 months, women aged >= 35 years were >2 times more likely to use the app than women aged 18 to 24 years (adjusted risk ratio [aRR] 2.2, 95% CI 1.2-4.1; P=.01). Furthermore, retention in the app was higher among participants who demonstrated high PrEP awareness at baseline (aRR 1.8, 95% CI 1.1-3; P=.01) and among those who had experienced financial difficulties due to health care spending (aRR 1.9, 95% CI 1.2-3.2; P=.01). Conclusions: Most female sex workers (206/284, 72.5%) who were enrolled in PrEP care in Tanzania no longer used the Jichunge app after 6 months. Retention in the app at 6 months was predicted by older age, high PrEP awareness, and financial difficulties due to health care spending. Strategies for the long-term retention of participants in mHealth apps, such as systems for reinstallations of apps, should be considered during the design phase.
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页数:11
相关论文
共 38 条
  • [1] [Anonymous], 2021, UNAIDS Data 2021
  • [2] [Anonymous], 2016, Global diffusion of eHealth: making universal health coverage achievable. Report of the third global survey on eHealth
  • [3] [Anonymous], 2018, TANZANIA HIV IMPACT
  • [4] [Anonymous], 2013, Introduction to HIV/AIDS and sexually transmitted infection surveillance: module 4: introduction to respondent-driven sampling
  • [5] [Anonymous], 2021, HIV and sex work-human rights fact sheet series 2021
  • [6] [Anonymous], 2022, Measuring Digital Development: Facts and Figures
  • [7] [Anonymous], About TSD
  • [8] Use of Mobile Health (mHealth) Tools by Primary Care Patients in the WWAMI Region Practice and Research Network (WPRN)
    Bauer, Amy M.
    Rue, Tessa
    Keppel, Gina A.
    Cole, Allison M.
    Baldwin, Laura-Mae
    Katon, Wayne
    [J]. JOURNAL OF THE AMERICAN BOARD OF FAMILY MEDICINE, 2014, 27 (06) : 780 - U161
  • [9] THE DUKE-UNC FUNCTIONAL SOCIAL SUPPORT QUESTIONNAIRE - MEASUREMENT OF SOCIAL SUPPORT IN FAMILY MEDICINE PATIENTS
    BROADHEAD, WE
    GEHLBACH, SH
    DEGRUY, FV
    KAPLAN, BH
    [J]. MEDICAL CARE, 1988, 26 (07) : 709 - 723
  • [10] Cost-Effectiveness of Telemedicine in Remote Orthopedic Consultations: Randomized Controlled Trial
    Buvik, Astrid
    Bergmo, Trine S.
    Bugge, Einar
    Smaabrekke, Arvid
    Wilsgaard, Tom
    Olsen, Jan Abel
    [J]. JOURNAL OF MEDICAL INTERNET RESEARCH, 2019, 21 (02)