Age-Related Differences in Socio-demographic and Behavioral Determinants of HIV Testing and Counseling in HPTN 043/NIMH Project Accept
Language English Country United States Media print
Document type Journal Article, Research Support, N.I.H., Extramural
Grant support
U01 MH066687
NIMH NIH HHS - United States
T32 AI052071
NIAID NIH HHS - United States
P30 MH058107
NIMH NIH HHS - United States
UM1 AI069399
NIAID NIH HHS - United States
UM1 AI069453
NIAID NIH HHS - United States
UM1 AI068619
NIAID NIH HHS - United States
UM1 AI068613
NIAID NIH HHS - United States
UM1 AI068617
NIAID NIH HHS - United States
UM1 AI069423
NIAID NIH HHS - United States
T32 AI007392
NIAID NIH HHS - United States
PubMed
28589504
PubMed Central
PMC5718984
DOI
10.1007/s10461-017-1807-5
PII: 10.1007/s10461-017-1807-5
Knihovny.cz E-resources
- Keywords
- Determinants HTC, High-risk sexual behavior, Mobile HIV testing and counseling, Project accept, Youth,
- MeSH
- Adult MeSH
- HIV Infections diagnosis prevention & control MeSH
- Humans MeSH
- Adolescent MeSH
- Young Adult MeSH
- Patient Acceptance of Health Care MeSH
- Mass Screening statistics & numerical data MeSH
- Counseling * MeSH
- Cross-Sectional Studies MeSH
- Sexual Partners * MeSH
- Socioeconomic Factors MeSH
- Age Factors MeSH
- Check Tag
- Adult MeSH
- Humans MeSH
- Adolescent MeSH
- Young Adult MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, N.I.H., Extramural MeSH
- Geographicals
- South Africa MeSH
- Tanzania MeSH
- Thailand MeSH
- Zimbabwe MeSH
Youth represent a large proportion of new HIV infections worldwide, yet their utilization of HIV testing and counseling (HTC) remains low. Using the post-intervention, cross-sectional, population-based household survey done in 2011 as part of HPTN 043/NIMH Project Accept, a cluster-randomized trial of community mobilization and mobile HTC in South Africa (Soweto and KwaZulu Natal), Zimbabwe, Tanzania and Thailand, we evaluated age-related differences among socio-demographic and behavioral determinants of HTC in study participants by study arm, site, and gender. A multivariate logistic regression model was developed using complete individual data from 13,755 participants with recent HIV testing (prior 12 months) as the outcome. Youth (18-24 years) was not predictive of recent HTC, except for high-risk youth with multiple concurrent partners, who were less likely (aOR 0.75; 95% CI 0.61-0.92) to have recently been tested than youth reporting a single partner. Importantly, the intervention was successful in reaching men with site specific success ranging from aOR 1.27 (95% CI 1.05-1.53) in South Africa to aOR 2.30 in Thailand (95% CI 1.85-2.84). Finally, across a diverse range of settings, higher education (aOR 1.67; 95% CI 1.42, 1.96), higher socio-economic status (aOR 1.21; 95% CI 1.08-1.36), and marriage (aOR 1.55; 95% CI 1.37-1.75) were all predictive of recent HTC, which did not significantly vary across study arm, site, gender or age category (18-24 vs. 25-32 years).
Los jóvenes representan una gran proporción de nuevas infecciones por el VIH en todo el mundo, sin embargo, su utilización de las pruebas de detección del VIH y el asesoramiento (HTC) sigue siendo baja. Utilizando la encuesta de población transversal de la población realizada en 2011 como parte del proyecto HPTN 043 / NIMH Project Accept, un ensayo aleatorizado por grupos de movilización comunitaria y HTC móvil en Sudáfrica (Soweto y KwaZulu Natal), Zimbabwe, Tanzania y Tailandia, evaluamos las diferencias relacionadas con la edad entre los determinantes sociodemográficos y conductuales de HTC en los participantes del estudio por brazo de estudio, sitio y sexo. Se desarrolló un modelo multivariado de regresión logística utilizando datos individuales completos de 13,755 participantes con pruebas de VIH recientes (antes de 12 meses) como resultado. Los jóvenes (18-24 años) no eran predictivos de HTC recientes, excepto los jóvenes de alto riesgo con múltiples parejas concurrentes, que eran menos probables (aOR 0,75; IC del 95%: 0,61-0,92) compañero. Es importante destacar que la intervención fue exitosa en hombres con éxito específico en el sitio, desde aOR 1,27 (IC 95% 1,05-1,53) en Sudáfrica hasta aOR 2,30 en Tailandia (IC 95%: 1,85-2,84). Por último, en una amplia gama de contextos, la educación superior (aO 1,67; IC del 95%: 1,42; 1,96); mayor estatus socioeconómico (aOR 1,21; IC del 95%: 1,08-1,36) y matrimonio (aOR 1,55; IC del 95%: 1,37 -1.75) eran todos predictivos de HTC recientes, que no variaron significativamente entre brazo de estudio, sitio, sexo o categoría de edad (18-24 vs 25-32 años).
Department of Community Medicine Chiang Mai University Chiang Mai Thailand
Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore USA
Department of Medicine University of California Los Angeles CA USA
Department of Medicine University of California San Francisco USA
Division of Global and Community Health Medical University of South Carolina Charleston SC USA
Human Sciences Research Council Pretoria South Africa
Muhimbili University of Health and Allied Sciences Dar es Salaam Tanzania
South African Medical Research Council Cape Town South Africa
UCLA Center for World Health University of California Los Angeles USA
University of the Witwatersrand Johannesburg South Africa
University of Zimbabwe College of Health Sciences Harare Zimbabwe
See more in PubMed
UNAIDS. Fact Sheet: Adolescents, Young People and HIV. 2012. Available from: http://files.unaids.org/en/media/unaids/contentassets/documents/factsheet/2012/20120417_FS_adolescentsyoungpeoplehiv_en.pdf.
Pettifor A, Rees H, Steffenson A, Hlongwa-Madikizela L, MacPhail C, Vermaak K, et al. HIV and sexual behaviour among young South Africans: a national survey of 15-24 year olds. Johannesburg, South Africa: Reproductive Health Research Unit, University of the Witwatersrand; 2004.
Shisana O, Rehle T, Simbayi L, Parker W, Zuma K, Bhana A, et al. South African National HIV prevalence, HIV incidence, behaviour and communication survey, 2005. Cape Town, South Africa: HSRC Press; 2005.
WHO. HIV and adolescents: guidance for HIV testing and counselling and care of adolescents living with HIV. 2013. PubMed
UNAIDS. Get on the Fast-Track - The life-cycle approach to HIV. 2016. Available from: http://www.unaids.org/sites/default/files/media_asset/Get-on-the-Fast-Track_en.pdf.
Coates TJ, Kamenga MC, Sweat MD, De Zoysa I. Efficacy of voluntary HIV-1 counselling and testing in individuals and couples in Kenya, Tanzania, and Trinidad: a randomised trial. The voluntary HIV-1 counseling and testing efficacy study group. Lancet. 2000;356(9224):103–112. doi: 10.1016/S0140-6736(00)02446-6. PubMed DOI
Fonner VA, Denison J, Kennedy CE, O’Reilly K, Sweat M. Voluntary counseling and testing (VCT) for changing HIV-related risk behavior in developing countries. Cochrane Database Syst Rev. 2012;9(9):CD001224. PubMed PMC
Kaufman MR, Massey M, Tsang SW, Kamala B, Serlemitsos E, Lyles E, et al. An assessment of HIV testing in Tanzania to inform future strategies and interventions. AIDS Care. 2015;27(2):213–217. doi: 10.1080/09540121.2014.963007. PubMed DOI
Cremin I, Cauchemez S, Garnett GP, Gregson S. Patterns of uptake of HIV testing in sub-Saharan Africa in the pre-treatment era. Trop Med Int Health. 2012;17(8):e26–e37. doi: 10.1111/j.1365-3156.2011.02937.x. PubMed DOI PMC
MacPhail C, Pettifor A, Moyo W, Rees H. Factors associated with HIV testing among sexually active South African youth aged 15-24 years. AIDS Care-Psychol Socio-Med Asp AIDS/HIV. 2009;21(4):456–467. doi: 10.1080/09540120802282586. PubMed DOI
Peltzer K, Matseke G. Determinants of HIV testing among young people aged 18-24 years in South Africa. Afr Health Sci. 2013;13(4):1012–1020. doi: 10.4314/ahs.v13i4.22. PubMed DOI PMC
MacPhail CL, Pettifor A, Coates T, Rees H. “You must do the test to know your status”: attitudes to HIV voluntary counseling and testing for adolescents among South African youth and parents. Health Educ Behav. 2008;35(1):87–104. doi: 10.1177/1090198106286442. PubMed DOI
Coates TJ, Kulich M, Celentano DD, Zelaya CE, Chariyalertsak S, Chingono A, et al. Effect of community-based voluntary counselling and testing on HIV incidence and social and behavioural outcomes (NIMH Project Accept; HPTN 043): a cluster-randomised trial. Lancet Global Health. 2014;2(5):E267–E277. doi: 10.1016/S2214-109X(14)70032-4. PubMed DOI PMC
Grabbe KL, Menzies N, Taegtmeyer M, Emukule G, Angala P, Mwega I, et al. Increasing access to HIV counseling and testing through mobile services in Kenya: strategies, utilization, and cost-effectiveness. J Acquir Immune Defic Syndr. 2010;54(3):317–323. doi: 10.1097/QAI.0b013e3181ced126. PubMed DOI PMC
Corbett EL, Dauya E, Matambo R, Cheung YB, Makamure B, Bassett MT, et al. Uptake of workplace HIV counselling and testing: a cluster-randomised trial in Zimbabwe. PLoS Med. 2006;3(7):e238. doi: 10.1371/journal.pmed.0030238. PubMed DOI PMC
Sabapathy K, Van den Bergh R, Fidler S, Hayes R, Ford N. Uptake of home-based voluntary HIV testing in sub-Saharan Africa: a systematic review and meta-analysis. PLoS Med. 2012;9(12):e1001351. doi: 10.1371/journal.pmed.1001351. PubMed DOI PMC
Wachira J, Kimaiyo S, Ndege S, Mamlin J, Braitstein P. What is the impact of home-based HIV counseling and testing on the clinical status of newly enrolled adults in a alarge HIV care program in Western Kenya? Clin Infect Dis. 2012;54(2):275–281. doi: 10.1093/cid/cir789. PubMed DOI
WHO. Planning, implementation and monitoring home-based HIV testing and counselling. A practical handbook for Sub-saharan Africa. 2012.
Pant Pai N, Sharma J, Shivkumar S, Pillay S, Vadnais C, Joseph L, et al. Supervised and unsupervised self-testing for HIV in high- and low-risk populaions: a systematic review. PLoS Med. 2013;10(4):e1001414. doi: 10.1371/journal.pmed.1001414. PubMed DOI PMC
Kurth AE, Lally MA, Choko AT, Inwani IW, Fortenberry JD. HIV testing and linkage to services for youth. J Int AIDS Soc. 2015;18(2 Suppl 1):19433. PubMed PMC
Suthar AB, Ford N, Bachanas PJ, Wong VJ, Rajan JS, Saltzman AK, et al. Towards universal voluntary HIV testing and counselling: a systematic review and meta-analysis of community-based approaches. PLoS Med. 2013;10(8):e1001496. doi: 10.1371/journal.pmed.1001496. PubMed DOI PMC
UNAIDS. UNAIDS 90-90-90, an ambitious treatment target to help end the AIDS epidemic. 2014.
Khumalo-Sakutukwa G, Morin S, Fritz K, Charlebois E, van Rooyen H, Chingono A, et al. Project accept (HPTN 043): a community-based intervention to reduce HIV incidence in populations at risk of HIV in Sub-Saharan Africa and Thailand. J Acquir Immune Defic Syndr. 2008;49(4):422–431. doi: 10.1097/QAI.0b013e31818a6cb5. PubMed DOI PMC
Project Accept Study Group. Project Accept (HPTN 043), A cluster-randomized trial of community mobilization, mobile HIV testing, post-test support services, and real-time performance feedback. http://www.cbvct.med.ucla.edu/.
Sweat M, Morin S, Celentano D, Mulawa M, Singh B, Mbwanbo J, et al. Community-based intervetion to increase HIV testing abnd case detectin in people aged 16–32 years in Tanzainia, Zimbabwe, and Thailand (NIMH Project Accept, HPTN 043): a randomized study. Lancet Infect Dis. 2011;11:525–532. doi: 10.1016/S1473-3099(11)70060-3. PubMed DOI PMC
Steinberg L. A social neuroscience perspective on adolescent risk-taking. Dev Rev. 2008;28(1):78–106. doi: 10.1016/j.dr.2007.08.002. PubMed DOI PMC
Johnson S, Blum R, Biedd J. Adolescent maturity and the brain: the promise and pitfalls of neuroscience research in adolescent health policy. J Adolesc Health. 2009;45(3):216–221. doi: 10.1016/j.jadohealth.2009.05.016. PubMed DOI PMC
McGarrigle CA, Mercer CH, Fenton KA, Copas AJ, Wellings K, Erens B, et al. Investigating the relationship between HIV testing and risk behaviour in Britain: national survey of sexual attitudes and lifestyles 2000. Aids. 2005;19(1):77–84. doi: 10.1097/00002030-200501030-00009. PubMed DOI
Samet JH, Winter MR, Grant L, Hingson R. Factors associated with HIV testing among sexually active adolescents: a Massachusetts survey. Pediatrics. 1997;100(3):371–377. doi: 10.1542/peds.100.3.371. PubMed DOI
Goodman E, Tipton AC, Hecht L, Chesney MA. Perseverance pays off: health care providers’ impact on HIV testing decisions by adolescent females. Pediatrics. 1994;94(6 Pt 1):878–882. PubMed
Parker L, Maman S, Pettifor A, Chalachala JL, Edmonds A, Golin CE, et al. Barriers to provider-delivered sexual behavior counseling for youth living with HIV/AIDS in the democratic Republic of the Congo. J HIV AIDS Soc Serv. 2013;12(3–4):3–4. PubMed PMC
Tylee A, Haller E, Graham T, Churchill R, Sanci L. Youth-friendly primary-care services: how are we doing and what more needs to be done? Lancet. 2007;369:1565–1573. doi: 10.1016/S0140-6736(07)60371-7. PubMed DOI
Helleringer S, Kohler HP, Frimpong JA, Mkandawire J. Increasing uptake of HIV testing and counseling among the poorest in sub-saharan countries through home-based service provision. J Acquir Immune Defic Syndr. 2009;51(2):185–193. doi: 10.1097/QAI.0b013e31819c1726. PubMed DOI PMC
Mutale W, Michelo C, Jurgensen M, Fylkesnes K. Home-based voluntary HIV counselling and testing found highly acceptable and to reduce inequalities. BMC Public Health. 2010;10:347. doi: 10.1186/1471-2458-10-347. PubMed DOI PMC