HIV Prevention and Care in the Digital Age
Abstract
OBJECTIVES: To describe the technologic advances in the digital media, including computers, mobile phones, and the Internet, that have greatly expanded opportunities to deliver evidence-based HIV education, prevention, and treatment programs. METHODS: This article examines the use of digital media in the United States and its potential role in HIV prevention and care. RESULTS: Although the "digital divide" is shrinking, access varies by age, race/ethnicity, and education. The Internet is an important medium for delivering universal and targeted HIV education and prevention, especially for men who have sex with men, who report going online to seek health information online and for social and sexual networking. Online and off-line behavioral interventions using digital media range from computerized multimedia interventions that take into account individual behaviors to brief untailored video interventions. Numerous Web sites facilitate access to care by providing a variety of services, including location of and linkage to HIV testing and treatment sites. HIV treatment and adherence programs that use online medical records text messaging, paging, and tablet computer-based counseling tools are also being developed. CONCLUSIONS: HIV prevention and care programs using digital media have great potential to cost-effectively meet the complex needs of diverse and often underserved populations living with or at high risk of HIV.
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Early reports on mHealth suggest that mobile health technologies may help to address programmatic needs for HIV treatment and care.
“Early reports on mHealth suggest that mobile health technologies may help to address these programmatic needs [12].”
From mHealth for HIV Treatment & Prevention: A Systematic Review of the Literature (2013) · cites this paper as [12]
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- Authors
- Chiasson, M. A., Hirshfield, S., & Rietmeijer, C.
- Affiliations
- Columbia University Irving Medical Center (US)
- Public Health Solutions (US)
- Denver Public Health (US)
- Corresponding author
- Chiasson, Mary Ann
- Hirshfield, Sabina
- Venue
- JAIDS Journal of Acquired Immune Deficiency Syndromes
- Published
- 2010-12-15
- Volume
- 55
- Issue
- Supplement 2
- Pages
- S94-S97
- ISSN
- 1525-4135 (ISSN-L)
- OpenAlex
- W2039692149
- Cited by
- 76
- References
- 71
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 1 · 2022: 4 · 2021: 8 · 2020: 5 · 2019: 3 · 2018: 6 · 2017: 3 · 2016: 7 · 2015: 8 · 2014: 7 · 2013: 7 · 2012: 10
- FWCI
- 4.34
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAIDS Journal of Acquired Immune Deficiency Syndromes (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Centers for Disease Control and Prevention (5u50cd300860-21)
- Topics
- Health Sciences › Medicine › Infectious Diseases › HIV/AIDS Research and Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Health › Social Media in Health Education
- Keywords
- HIV prevention, HIV care, digital media, online health education, mobile health, digital divide, men who have sex with men, online health information seeking, video-based intervention, text messaging, HIV treatment adherence, underserved populations
- MeSH terms
- Humans, Male, Patient Compliance, Patient Education as Topic, Risk Factors, Sexual Behavior, United States, HIV Infections, Homosexuality, Male, Anti-HIV Agents, Internet
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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