The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
Innovation in sexually transmitted disease and HIV prevention: Internet and mobile phone delivery vehicles for global diffusion
Open accessAbstract
PURPOSE OF REVIEW: Efficacious behavioral interventions and practices have not been universally accepted, adopted, or diffused by policy makers, administrators, providers, advocates, or consumers. Biomedical innovations for sexually transmitted disease (STD) and HIV prevention have been embraced but their effectiveness is hindered by behavioral factors. Behavioral interventions are required to support providers and consumers for adoption and diffusion of biomedical innovations, protocol adherence, and sustained prevention for other STDs. Information and communication technology such as the Internet and mobile phones can deliver behavioral components for STD/HIV prevention and care to more people at less cost. RECENT FINDINGS: Recent innovations in STD/HIV prevention with information and communication technology-mediated behavioral supports include STD/HIV testing and partner interventions, behavioral interventions, self-management, and provider care. Computer-based and Internet-based behavioral STD/HIV interventions have demonstrated efficacy comparable to face-to-face interventions. Mobile phone STD/HIV interventions using text-messaging are being broadly utilized but more work is needed to demonstrate efficacy. Electronic health records and care management systems can improve care, but interventions are needed to support adoption. SUMMARY: Information and communication technology is rapidly diffusing globally. Over the next 5-10 years smart-phones will be broadly disseminated, connecting billions of people to the Internet and enabling lower cost, highly engaging, and ubiquitous STD/HIV prevention and treatment support interventions.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Among 35 studies, only a few [22-27] mentioned a theoretical basis or conceptual framework that guided their assumptions about why mHealth might facilitate or cause the intended change.”
From mHealth for HIV Treatment & Prevention: A Systematic Review of the Literature (2013) · cites this paper as [25]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Branson, B. M., Handsfield, H. H., Lampe, M. A., Janssen, R. S., Taylor, A. W., Lyss, S. B., & Clark, J. E. (2006) · PsycEXTRA Dataset · doi:10.1037/e545592006-001 · Cited by 3,041
Martinez, A. W., Phillips, S. T., Carrilho, E., Thomas, S. W., Sindi, H., & Whitesides, G. M. (2008) · Analytical Chemistry · doi:10.1021/ac800112r · Cited by 1,445
Behavior change interventions delivered by mobile telephone short message service
Fjeldsoe, B. S., Marshall, A. L., & Miller, Y. D. (2009) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2008.09.040 · Cited by 1,213
Mobile Phone Based Clinical Microscopy for Global Health Applications
Breslauer, D. N., Maamari, R. N., Switz, N. A., Lam, W. A., & Fletcher, D. A. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006320 · Cited by 694
Efficacy of computer technology-based HIV prevention interventions: a meta-analysis
Noar, S. M., Black, H. G., & Pierce, L. B. (2008) · AIDS · doi:10.1097/qad.0b013e32831c5500 · Cited by 385
The history and challenge of HIV prevention
MERSON, M. H., O’Malley, J., Serwadda, D., & Apisuk, C. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60884-3 · Cited by 296
SMS STI: A Review of the Uses of Mobile Phone Text Messaging in Sexual Health
Lim, M. S. C., Hocking, J. S., Hellard, M. E., & Aitken, C. K. (2008) · International Journal of STD & AIDS · doi:10.1258/ijsa.2007.007264 · Cited by 293
An analysis of social support exchanges in online HIV/AIDS self-help groups
Coursaris, C. K., & Liu, M. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2009.03.006 · Cited by 284
Why don't physicians test for HIV? A review of the US literature
Burke, R. C., Sepkowitz, K. A., Bernstein, K. T., Karpati, A. M., Myers, J. E., Tsoi, B. W., & Begier, E. M. (2007) · AIDS · doi:10.1097/qad.0b013e32823f91ff · Cited by 253
Rotheram‐Borus, M. J., Swendeman, D. T., & Chovnick, G. (2009) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.032408.153530 · Cited by 250
Self-citation
Research works printed but not linked: 4
- Moreno, 2009, Arch Pediatr Adolesc Med, 163, 27
- Branson, 2006, MMWR Morb Mortal Wkly Rep, 55, 1
- Levine, 2008, PLoS Medicine, 5, 1428
- McTigue, 2008, Ann Behav Med, 35, S167
Cited by
Sorted by citations
Muessig, K., Pike, E. C., Legrand, S., & Hightow-Weidman, L. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2301 · Cited by 300
mHealth for HIV Treatment & Prevention: A Systematic Review of the Literature
Catalani, C., Philbrick, W., Fraser, H., Mechael, & Israelski, D. M. (2013) · The Open AIDS Journal · doi:10.2174/1874613620130812003 · Cited by 230
Disruptive innovations for designing and diffusing evidence-based interventions
Rotheram-Borus, M. J., Swendeman, D., & Chorpita, B. F. (2012) · American Psychologist · doi:10.1037/a0028180 · Cited by 210
Self-citationMuessig, K. E., Pike, E. C., Fowler, B., LeGrand, S., Parsons, J. T., Bull, S. S., Wilson, P. A., Wohl, D. A., & Hightow-Weidman, L. B. (2013) · AIDS Patient Care and STDs · doi:10.1089/apc.2012.0404 · Cited by 164
Chinaʼs syphilis epidemic: epidemiology, proximate determinants of spread, and control responses
Tucker, J. D., & Cohen, M. S. (2010) · Current Opinion in Infectious Diseases · doi:10.1097/qco.0b013e32834204bf · Cited by 149
Metadata
- Authors
- Swendeman, D., & Rotheram-Borus, M. J.
- Affiliations
- University of California, Los Angeles (US)
- Corresponding author
- Swendeman, Dallas
- ORCID
- Swendeman, Dallas
- Venue
- Current Opinion in Psychiatry
- Published
- 2010-03
- Volume
- 23
- Issue
- 2
- Pages
- 139-144
- ISSN
- 0951-7367 (ISSN-L)
- PMC
- PMC2881840
- OpenAlex
- W1989343765
- Cited by
- 157
- References
- 62
- Citations by year
- 2025: 4 · 2024: 3 · 2023: 4 · 2022: 4 · 2021: 3 · 2020: 4 · 2019: 12 · 2018: 11 · 2017: 6 · 2016: 13 · 2015: 18 · 2014: 14 · 2013: 24 · 2012: 21
- FWCI
- 3.61
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Current Opinion in Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (P30 MH-58107, P30MH058107)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Infectious Diseases › HIV/AIDS Research and Interventions
- Social Sciences › Health › Social Media in Health Education
- Keywords
- STD prevention, HIV prevention, information and communication technologies, mobile phone intervention, text messaging, online intervention, computer-based intervention, behavioral interventions, technology adoption, diffusion of innovations, self-management, electronic health records, care management system, smartphones
- MeSH terms
- Health Promotion, Humans, Organizational Innovation, Preventive Health Services, Self Care, Sexually Transmitted Diseases, HIV Infections, Internet, Cell Phone
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
