Content Analysis and User Characteristics of a Smartphone-Based Online Support Group for People Living with HIV
BACKGROUND:
Although
there is growing interest in mobile applications and online support groups to
enhance chronic disease self-management, little is known about their potential
impact for people living with HIV (PLWH).
INTRODUCTION:
We
developed an innovative online support group delivered through a community
message board (CMB) within a clinic-affiliated smartphone application Positive
Links (PL). We analyzed characteristics of posters and nonposters to the CMB
and evaluated content posted to the CMB.
MATERIALS AND METHODS:
For
this study, 38 HIV-infected patients received cell phones with the PL
application that included the opportunity to interact with other users on a
CMB. Logistic regressions investigated associations between participant
characteristics and posting. CMB messages were downloaded and analyzed
qualitatively.
RESULTS:
24
participants posted to the CMB; 14 did not. Participants had lower odds of
posting if they were white (p = 0.028) and had private insurance (p = 0.003).
Participants had higher odds of posting if they had unsuppressed viral loads
(p = 0.034). Of the 840 CMB messages over 8 months, 62% had psychosocial
content, followed by community chat (29%), and biomedical content (10%).
DISCUSSION:
Psychosocial
content was most prevalent on this CMB, in contrast to other online forums
dominated by informational content. Participants who posted expressed support
for each other, appreciation for the community, and a perception that the app
played a positive role in their HIV self-management.
CONCLUSIONS:
This
CMB on a clinic-affiliated mobile application may reach vulnerable populations,
including racial/ethnic minorities and those of lower socioeconomic status, and
provide psychosocial support to PLWH.
By: Flickinger TE1, DeBolt C1, Wispelwey E1, Laurence C2, Plews-Ogan E1, Waldman AL1, Reynolds G3, Cohn WF1, Beach MC4, Ingersoll K1, Dillingham R1.
- 1 Department of Medicine, University of Virginia School of Medicine , Charlottesville, Virginia.
- 2 Department of Medicine, Wake Forest School of Medicine , Winston Salem, North Carolina.
- 3 Health Decision Technologies , Oakland, California.
- 4 Department of Medicine, Johns Hopkins University School of Medicine , Baltimore, Maryland.
- Telemed J E Health. 2016 Mar 22
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