Little is known about users' intervention engagement and use patterns within eHealth interventions. We describe these patterns among young men who have sex with men (YMSM) who participated in a brief eHealth intervention designed to increase HIV testing. We merged pilot trial participants' survey data (N = 86) with their paradata (e.g., system data recorded during interaction with the intervention). We created engagement (time spent on components) and use (interaction with features) metrics, and explored whether they differed by participant characteristics. Racial/ethnic minorities clicked on fewer features (mean = 8.30) than non-Hispanic White men (mean = 12.00). Use was associated with older age (r = .19), greater educational attainment (r = .25), and a greater number of methods to connect online (r = .38). Paradata can help researchers understand how users interact with eHealth interventions, and inform which components to retain or redesign. Efforts to systematically collect, analyze, and report paradata in eHealth HIV prevention and care interventions are warranted.
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http://dx.doi.org/10.1521/aeap.2018.30.5.434 | DOI Listing |
BMC Health Serv Res
January 2025
Department of Epidemiology, College of Health Sciences, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Background: We sought to determine how the COVID-19 pandemic affected care delivery for HIV patients in Ghana.
Methods: Guided by the Consolidated Framework for Implementation Research (CFIR), we performed a cross-sectional study between May and July 2021 among 40 people living with HIV and 19 healthcare providers caring for HIV patients. In-depth interviews and focus group discussions were done with HIV patients, doctors, nurses, pharmacists, laboratory scientists, data scientists, administrators, and counselors to ascertain barriers and facilitators to HIV care during the pandemic.
BMC Infect Dis
December 2024
Division of Infectious Diseases, David Geffen School of Medicine at UCLA, Los Angeles, CA, US.
Background: The COVID-19 pandemic resulted in the rapid implementation of telemedicine for HIV care at federally qualified health centers (FQHCs) in the United States. We sought to understand use of telemedicine (telephone and video) at two FQHCs in Los Angeles, and the client attitudes towards and experiences with telemedicine as part of future HIV care.
Methods: We conducted surveys with 271 people living with HIV (PLHIV), with questions covering sociodemographic factors, telemedicine attitudes and experiences, technological literacy, and access to technological resources and privacy.
J Med Internet Res
December 2024
School of Journalism and Mass Communication, University of Wisconsin-Madison, Madison, WI, United States.
Background: Despite the increasing popularity of mobile health (mHealth) technologies, little is known about which types of mHealth system engagement might affect the maintenance of antiretroviral therapy among people with HIV and substance use disorders.
Objective: This study aimed to use longitudinal and detailed system logs and weekly survey data to test a mediation model, where mHealth engagement indicators were treated as predictors, substance use and confidence in HIV management were treated as joint mediators, and antiretroviral therapy adherence was treated as the outcome. We further distinguished the initiation and intensity of system engagement by mode (expression vs reception) and by communication levels (intraindividual vs dyadic vs network).
AIDS Educ Prev
December 2024
Division of HIV/AIDS Control and Prevention, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning, Guangxi, China.
In China, pre-exposure prophylaxis (PrEP) uptake among men who have sex with men (MSM) and HIV-serodiscordant couples is low. We offered differentiated PrEP options tailored to MSM in a community-based organization (CBO) setting, and to HIV-serodiscordant couples attempting conception in a specialized HIV care clinic. The CBO facilitated PrEP by linkage with a telemedicine platform for virtual consultation; additional online follow-up on social media was conducted by peers.
View Article and Find Full Text PDFJMIR Mhealth Uhealth
December 2024
School of Public Health, Faculty of Medicine & Health, University of Sydney, Sydney, NSW, Australia.
Background: Mobile health (mHealth) interventions have the potential to improve health outcomes in low- and middle-income countries (LMICs) by aiding health workers to strengthen service delivery, as well as by helping patients and communities manage and prevent diseases. It is crucial to understand how best to implement mHealth within already burdened health services to maximally improve health outcomes and sustain the intervention in LMICs.
Objective: We aimed to identify key barriers to and facilitators of the implementation of mHealth interventions for infectious diseases in LMICs, drawing on a health systems analysis framework.
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