ArticleInternational journal of medical informatics2017
Predictors of willingness to use a smartphone for research in underserved persons living with HIV.
Article in International journal of medical informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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.
The trial behind it
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Who cites it
7 citing papers in PubMed.
- Mobile Health Technology for Improving Symptom Management in Low Income Persons Living with HIV.AIDS and behavior · 2018Trial
- More work for ASHAs? Exploring the role of whatsapp messaging and community health work in urban slum areas of Varanasi, India.PLOS global public health · 2025Article
- Patterns and Influencing Factors of eHealth Tools Adoption Among Medicaid and Non-Medicaid Populations From the Health Information National Trends Survey (HINTS) 2017-2019: Questionnaire Study.Journal of medical Internet research · 2021Article
- Creation of Data Repositories to Advance Nursing Science.Western journal of nursing research · 2019Article
- eHealth for Stigma Reduction Efforts Designed to Improve Engagement in Care for People Living with HIV.Current HIV/AIDS reports · 2018Review
- Addressing Stigma Through a Virtual Community for People Living with HIV: A Mixed Methods Study of the PositiveLinks Mobile Health Intervention.AIDS and behavior · 2018Article
- Health Information Technology Usability Evaluation Scale (Health-ITUES) for Usability Assessment of Mobile Health Technology: Validation Study.JMIR mHealth and uHealth · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
objectivesThe burden of HIV/AIDS is borne disproportionally by a growing number of racial and ethnic minorities and socioeconomically disadvantaged individuals. Developing mHealth interventions for the everyday self-management needs of persons living with HIV (PLWH) can be challenging given the current constraints of the U.S. healthcare system, especially for those from underserved communities. In order to develop effective, evidence-based mHealth self-management interventions, we need a better understanding of the factors associated with mHealth research. The purpose of this study was to assess factors associated with PLWH's for participation in research using smartphones.
methodsWe conducted a prospective cohort study (parent study) to examine the relationships among HIV self-management, age, gender and mental wellness. Relevant to this study, we analyzed the relationship between self-reported use of smartphones, willingness to use a smartphone for research, and other predictor variables including: HIV stigma, social isolation, social integration functions, and depression. We selected these variables because previous work indicated they may influence smartphone or mHealth use and because they also tend to be elevated in PLWH.
resultsWe found increased age, HIV stigma and social isolation were negatively associated with smartphone use, which supports the use of smartphones for conducting research with PLWH but also suggests that age, stigma, social integration functions and social isolation need to be considered in research involving PLWH.
conclusionsFindings here support smartphone use in research involving PLWH. However, future mHealth interventions targeting PLWH should take into account the inverse relationship between smartphone use and age, HIV stigma, and social isolation, and other predictor variables.
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