2017
DOI: 10.1016/j.ijmedinf.2017.01.002
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Predictors of willingness to use a smartphone for research in underserved persons living with HIV

Abstract: Objectives The 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 … Show more

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Cited by 10 publications
(11 citation statements)
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References 52 publications
(54 reference statements)
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“…Stigma may also play a role in the willingness of PLWH to participate in private, secure mobile health interventions. Age, HIV stigma, and social isolation have been negatively associated with smartphone use in research studies [ 71 ]. Patients most at risk for stigma may also be most difficult to reach with mobile health interventions, which should be taken into consideration when seeking to address stigma through app-based communities.…”
Section: Discussionmentioning
confidence: 99%
“…Stigma may also play a role in the willingness of PLWH to participate in private, secure mobile health interventions. Age, HIV stigma, and social isolation have been negatively associated with smartphone use in research studies [ 71 ]. Patients most at risk for stigma may also be most difficult to reach with mobile health interventions, which should be taken into consideration when seeking to address stigma through app-based communities.…”
Section: Discussionmentioning
confidence: 99%
“…The dramatic growth of mHealth technology is not surprising given that mobile technologies are a novel method for the delivery of cost-effective, timely, and relevant health promotion and management information [ 8 ]. Mobile delivery specifically has a number of key advantages over traditional face-to-face delivery models of care, including consumer control, decreased time burden, reduction of monetary and time costs associated with travel to a provider, and the ability to monitor and assess the use of digital analytics [ 8 ]. Additionally, mHealth technology presents an opportunity for consumers to self-monitor their health status and allows health care providers to organically reach persons who may be disengaged from the health care system [ 9 ].…”
Section: Introductionmentioning
confidence: 99%
“…A major challenge that will accompany these efforts will be incorporating ways to promote their use among populations traditionally difficult to reach with technology (e.g. older adults, low income individuals) (Pew Research Center, 2013; Schnall, Cho, & Webel, 2017; Zickuhr & Madden, 2012). However, in addressing these challenges and integrating these resources into our research we create opportunities to better serve our participants by enhancing our understanding of their health.…”
Section: Discussionmentioning
confidence: 99%
“…For example, symptom tracking and diet/physical activity recall applications, actigraphy, and microelectronic monitors for medication event monitoring system (MEMS) are options for understanding phenomena such as symptom trajectories and burden, physical activity and dietary habits, and treatment adherence (El Alili, Vrijens, Demonceau, Evers, & Hiligsmann, 2016; Granado-Font et al, 2015; Kelly et al, 2013). A major challenge that will accompany these efforts will be incorporating ways to promote their use among populations traditionally difficult to reach with technology (e.g., older adults, low income individuals; Pew Research Center, 2013; Schnall, Cho, & Webel, 2017; Zickuhr & Madden, 2012). However, in addressing these challenges and integrating these resources into our research, we create opportunities to better serve our participants by enhancing our understanding of their health.…”
Section: Discussionmentioning
confidence: 99%