SEXINFO: A Sexual Health Text Messaging Service for San Francisco Youth
Open accessAbstract
In response to rising gonorrhea rates among African American youth in San Francisco, Calif, Internet Sexuality Information Services, Inc, in partnership with the San Francisco Department of Public Health, developed SEXINFO, a sexual health text messaging service. SEXINFO is an information and referral service that can be accessed by texting “SEXINFO” to a 5-digit number from any wireless phone. A consortium of community organizations, religious groups, and health agencies assisted with identifying culturally appropriate local referral services. We conducted focus group sessions among youth aged 15 to 19 years to discuss the viability of the service. Usage of the service has been greater than expected, and an initial evaluation to assess the impact of SEXINFO on increasing access to sexual health services among at-risk adolescents has had promising results.
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Mobile technology is increasingly used to promote health and prevent disease.
“Mobile technology is also increasingly used to promote health and prevent disease (11, 13–17).”
From Text messaging as a tool for behavior change in disease prevention and management (2010) · cites this paper as [11]
SMS was a feasible and acceptable way for vulnerable youth to receive information and referrals to clinical services.
“SMS was a feasible and acceptable way for vulnerable youth to receive information and referrals to clinical services [28].”
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3: Is text messaging key to improving adolescent sexual health?
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Willoughby, J. F., & L’Engle, K. L. (2015) · Health Education Research · doi:10.1093/her/cyv056 · Cited by 21 · see citing works
Communication Strategies and New Media Platforms
Willoughby, J. F., & Smith, H. M. (2016) · Science Communication · doi:10.1177/1075547016648151 · Cited by 21 · see citing works
10 uses of texting to improve health
Fogg, B. J., & Allen, E. (2009) · International Conference on Persuasive Technology · doi:10.1145/1541948.1541997 · Cited by 21 · see citing works
- Authors
- Levine, D., McCright, J., Dobkin, L., Woodruff, A. J., & Klausner, J. D.
- Affiliations
- San Francisco Department of Public Health (US)
- Venue
- American Journal of Public Health
- Publisher
- American Public Health Association
- Published
- 2008-03
- Volume
- 98
- Issue
- 3
- Pages
- 393-395
- ISSN
- 0090-0036 (ISSN-L)
- 1541-0048
- PMC
- PMC2253571
- OpenAlex
- W2064586394
- Cited by
- 228
- References
- 2
- Citations by year
- 2025: 2 · 2024: 3 · 2023: 4 · 2022: 6 · 2021: 3 · 2020: 11 · 2019: 13 · 2018: 13 · 2017: 9 · 2016: 19 · 2015: 19 · 2014: 21 · 2013: 25 · 2012: 34
- FWCI
- 28.37
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- American Journal of Public Health (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Adolescent Sexual and Reproductive Health
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Health › Social Media in Health Education
- Keywords
- sexual health, text messaging, youth health, gonorrhea, African American youth, sexually transmitted infections, sexual health services access, at-risk youth, San Francisco
- MeSH terms
- Adolescent, Adult, Age Factors, California, Child, Communication, Feasibility Studies, Female, Health Education, Health Promotion, Health Status, Humans, Male, San Francisco, Sexual Behavior, Focus Groups, Social Marketing, 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.
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