Using digital communication technology fails to improve longitudinal evaluation of an HIV prevention program aimed at indian truck drivers and cleaners

AIDS and Behavior

Volumn 16, Issue 5, 2012, Pages 1359-1363

  Schneider, John A ^a   Kondareddy, Divya ^b   Gandham, Sabitha ^b   Dude, Annie M ^c  

^a UNIVERSITY OF CHICAGO   (United States)

^b SHARE India   (India)

^c DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Digital communication; India; Program evaluation; Truck drivers

Indexed keywords

ACQUIRED IMMUNE DEFICIENCY SYNDROME; ADOLESCENT; ADULT; AGED; ARTICLE; ATTITUDE TO HEALTH; CAR DRIVING; FEMALE; FOLLOW UP; HEALTH CARE QUALITY; HOSPITAL SERVICE; HUMAN; INDIA; LONGITUDINAL STUDY; MALE; MIDDLE AGED; MOBILE PHONE; MOTIVATION; MOTOR VEHICLE; PATIENT COMPLIANCE; PSYCHOLOGICAL ASPECT; SEXUAL BEHAVIOR; TREATMENT FAILURE;

ACQUIRED IMMUNODEFICIENCY SYNDROME; ADOLESCENT; ADULT; AGED; AUTOMOBILE DRIVING; CELLULAR PHONE; FEMALE; FOLLOW-UP STUDIES; HEALTH KNOWLEDGE, ATTITUDES, PRACTICE; HOUSEKEEPING; HUMANS; INDIA; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; MOTIVATION; MOTOR VEHICLES; PATIENT COMPLIANCE; PROGRAM EVALUATION; SEXUAL BEHAVIOR; TREATMENT FAILURE; YOUNG ADULT;

EID: 84863724836     PISSN: 10907165     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10461-011-0060-6     Document Type: Article

References (13)

1. National Institute of Medical Statistics (NIMS) and National AIDS Control Organization (NACO). India HIV estimates 2006. New Delhi: National Institute of Medical Statistics, ICMR and National AIDS Control Organization, MOHFW; 2007.
2. Dandona L, Lakshmi V, Sudha T, Kumar GA, Dandona R. A population-based study of human immunodeficiency virus in south India reveals major differences from sentinel surveillancebased estimates. BMC Med. 2006;4:31.
3. Dandona L, Dandona R, Kumar GA, Reddy GB, Ameer MA, Ahmed GM, Ramgopal SP, Akbar M, Sudha T, Lakshmi V. Risk factors associated with HIV in a population-based study in Andhra Pradesh state of India. Int J Epidemiol. 2008;37(6):1274-86.
4. Gibney L, Saquib N, Metzger J. Behavioral risk factors for STD/HIV transmission in Bangladesh's trucking industry. Soc Sci Med. 2003;56(7):1411-24. (Pubitemid 36279477)
5. Kumar SG, Dandona R, Schneider JA, Ramesh YK, Dandona L. Outputs and cost of HIV prevention programmes for truck drivers in Andhra Pradesh, India. BMC Health Serv Res. 2009;9:82.
6. Schneider JA, Makelarski JA, Van Haitsma M, et al. Differential access to digital communication technology: association with health and health survey recruitment within an African-American underserviced urban population. J Urban Health. 2011 (in press).
7. Langhaug SF, Sherr L, Cowan FM. How to improve the validity of sexual behavior reporting: systematic review of questionnaire delivery modes in developing countries. Trop Med Int Health. 2010;15:362-81.
8. Telecom Regulatory Authority of India (TRAI). The Indian telecom services performance indicator report for the quarter ending September 2010. New Delhi: TRAI. http://www.trai.gov.in/Reports-list-year.asp (2010). Accessed 15 Mar 2011.
9. Schneider JA, Dandona R, Pasupneti S, et al. Initial commitment to pre-exposure prophylaxis and circumcision for HIV prevention amongst Indian truck drivers. PLOS One. 2010;5(7):e11922.
10. National AIDS Control Organization (NACO). Targeted interventions for truckers: operational guidelines. http://www.nacoonline.org/National-AIDS- Control-Program/Prevention-Strategies/TIs-for-Bridge-Populations/ Targetted-Interventions-For-Truckers-Operational-Guidelines/(2008). Accessed 8 Mar 2011.
11. Schneider JA, Dude A, Dinaker M, Kumar V, Laumann EO, Holloway-Beth A, Oruganti G, Saluja GS, Chundi V, Yeldandi V, Mayer KH. General hygiene, sexual risk behavior and HIV prevalence in truck drivers from Andhra Pradesh, south India: implications for prevention interventions. Int J STD AIDS. 2009;20(1):39-45.
12. Link M, Battaglia M, Frankel M, Osborn L, Mokdad A. Reaching the US cell phone generation: comparison of cell phone survey results with an ongoing landline telephone survey. Public Opin Q. 2007;71(5):814-39.
13. Rule NO, Garrett JV, Ambady N. On the perception of religious group membership from faces. PLoS One. 2010;5(12):e14241.