Delivering laboratory results by text message and e-mail: A survey of factors associated with conceptual acceptability among STD clinic attendees

Telemedicine and e-Health

Volumn 18, Issue 7, 2012, Pages 500-506

  Tripathi, Avnish ^a   Duffus, Wayne A ^b,c   Kissinger, Patricia ^d   Brown, Timothy J ^e   Gibson, James J ^b   Mena, Leandro A ^e,f  

^a UNIVERSITY OF SOUTH CAROLINA   (United States)

^b Bureau of Disease Control   (United States)

^c UNIVERSITY OF SOUTH CAROLINA SCHOOL OF MEDICINE   (United States)

^d TULANE UNIVERSITY   (United States)

^e MISSISSIPPI STATE DEPARTMENT OF HEALTH   (United States)

^f UNIVERSITY OF MISSISSIPPI SCHOOL OF MEDICINE   (United States)

Author keywords

cellular phone utilization; health promotion methods; information and communication technology; Internet and e mail healthcare; sexually transmitted diseases psychology

Indexed keywords

CELL PHONE; CELLULAR PHONE; CONFIDENCE INTERVAL; DAILY USE; HEALTH PROMOTION; INFORMATION AND COMMUNICATION TECHNOLOGIES; INTER QUARTILE RANGES; INTERNET ACCESS; MISSISSIPPI; ODDS RATIOS; SEXUALLY TRANSMITTED DISEASE; SOUTH CAROLINA; TEXT MESSAGES;

CELLULAR TELEPHONES; COMMUNICATION; ELECTRONIC MAIL; INFORMATION TECHNOLOGY; INTERNET; LABORATORIES; MOBILE PHONES; PATIENT TREATMENT; SURVEYS; TELECOMMUNICATION EQUIPMENT;

TEXT MESSAGING;

ADULT; ARTICLE; E-MAIL; FEASIBILITY STUDY; FEMALE; HUMAN; INTERPERSONAL COMMUNICATION; MALE; PREVENTIVE HEALTH SERVICE; PSYCHOLOGICAL ASPECT; SEXUALLY TRANSMITTED DISEASE; TEXT MESSAGING; UNITED STATES;

ADULT; DIAGNOSTIC SERVICES; DISCLOSURE; ELECTRONIC MAIL; FEASIBILITY STUDIES; FEMALE; HUMANS; MALE; MISSISSIPPI; SEXUALLY TRANSMITTED DISEASES; SOUTH CAROLINA; TEXT MESSAGING; YOUNG ADULT;

EID: 84866994853     PISSN: 15305627     EISSN: 15563669     Source Type: Journal    
DOI: 10.1089/tmj.2011.0251     Document Type: Review

References (19)

1. Pew Internet & American Life Project: Smartphone Adoption and Usage 2011. Available at http://pewinternet.org/Reports/2011/Smartphones.aspx (last accessed September 12, 2011).
2. Internet Use in the United States: October 2009. Computer and Internet Use 2009. Available at www.census.gov/hhes/computer/publications/2009.html (last accessed September 6, 2011).
3. Pew Internet & American Life Project: Online Activities, 2000-2009. Available at http://pewinternet.org/Trend-Data/Online-Activities-20002009.aspx (last accessed September 9, 2011).
4. Talukdar D, Gauri DK. Home Internet access and usage in the USA: Trends in the socio-economic digital divide. Commun Assoc Inform Syst 2011;28:7.
5. Samal L, et al. Digital divide: Variation in internet and cellular phone use among women attending an urban sexually transmitted infections clinic. J Urban Health 2010;87:122-128.
6. Lim MS, et al. SMS STI: A review of the uses of mobile phone text messaging in sexual health. Int J STD AIDS 2008;19:287-290. (Pubitemid 351748267)
7. Menon-Johansson AS, et al. Texting decreases the time to treatment for genital Chlamydia trachomatis infection. Sex Transm Infect 2006;82:49-51. (Pubitemid 43266162)
8. Person AK, et al. Text messaging for enhancement of testing and treatment for tuberculosis, human immunodeficiency virus, and syphilis: A survey of attitudes toward cellular phones and healthcare. Telemed J E Health 2011;17:189-195.
9. Levine D, et al. SEXINFO: A sexual health text messaging service for San Francisco youth. Am J Public Health 2008;98:393-395. (Pubitemid 351354504)
10. Rietmeijer CA, et al. Risks and benefits of the Internet for populations at risk for sexually transmitted infections (STIs): Results of an STI clinic survey. Sex Transm Dis 2003;30:15-19. (Pubitemid 36071079)
11. Lim EJ, Haar J, Morgan J. Can text messaging results reduce time to treatment of Chlamydia trachomatis? Sex Transm Infect 2008;84:563-564.
12. Mark KE, et al. Internet and email use among STD clinic patients. Sex Transm Dis 2008;35:960.
13. SAS. Usage Note 32471: How do I test for equal variances, collinearity, or normality in logit, probit, poisson or other generalized linear models? KNOWLEDGE BASE/SAMPLES & SAS NOTES 2011. Available at http://support.sas. com/kb/32/471 (last accessed October 17, 2011).
14. wMaher JE, et al. Using text messaging to contact difficult-to-reach study participants. Am J Public Health 2010;100:969-970; author reply 970.
15. Golden MR, et al. Ongoing risk behavior among persons with HIV in medical care. AIDS Behav 2007;11:726-735. (Pubitemid 47327576)
16. DeNavas-Walt C, Proctor BD, Smith JC. Income, Poverty, and Health Insurance Coverage in the United States: 2009. Washington, DC: U.S. Department of Commerce, Economics and Statistics Administration, and U.S. Census Bureau, 2010.
17. Centers for Disease Control and Prevention. 2009 Sexually Transmitted Diseases Surveillance. Available at www.cdc.gov/std/stats09/default.htm (last accessed September 12, 2011).
18. Adimora AA, Schoenbach VJ. Social context, sexual networks, and racial disparities in rates of sexually transmitted infections. J Infect Dis 2005;191(Suppl 1):S115-S122. (Pubitemid 40144236)
19. Ford CL, et al. Perceived everyday racism, residential segregation, and HIV testing among patients at a sexually transmitted disease clinic. Am J Public Health 2009;99(Suppl 1):S137-S43.