Wei Song1, Mesfin S Mulatu1, Michele Rorie1, Hui Zhang1, John W Gilford1. 1. 1 Division of HIV/AIDS Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Abstract
OBJECTIVE: Human immunodeficiency virus (HIV) partner services are an integral part of comprehensive HIV prevention programs. We examined the patterns of HIV testing and positivity among partners of HIV-diagnosed people who participated in partner services programs in CDC-funded state and local health departments. METHODS: We analyzed data on 21 484 partners submitted in 2013-2014 by 55 health departments. We conducted descriptive and multivariate analyses to examine patterns of HIV testing and positivity by demographic characteristics and geographic region. RESULTS: Of 21 484 partners, 16 275 (75.8%) were tested for HIV; 4503 of 12 886 (34.9%) partners with test results were identified as newly HIV-positive. Compared with partners aged 13-24, partners aged 35-44 were less likely to be tested for HIV (adjusted odds ratio [aOR] = 0.86; 95% confidence interval [CI], 0.78-0.95) and more likely to be HIV-positive (aOR = 1.35; 95% CI, 1.20-1.52). Partners who were male (aOR = 0.89; 95% CI, 0.81-0.97) and non-Hispanic black (aOR = 0.68; 95% CI, 0.63-0.74) were less likely to be tested but more likely to be HIV-positive (male aOR = 1.81; 95% CI, 1.64-2.01; non-Hispanic black aOR = 1.52; 95% CI, 1.38-1.66) than partners who were female and non-Hispanic white, respectively. Partners in the South were more likely than partners in the Midwest to be tested for HIV (aOR = 1.56; 95% CI, 1.35-1.80) and to be HIV-positive (aOR = 2.18; 95% CI, 1.81-2.65). CONCLUSIONS: Partner services programs implemented by CDC-funded health departments are successful in providing HIV testing services and identifying previously undiagnosed HIV infections among partners of HIV-diagnosed people. Demographic and regional differences suggest the need to tailor these programs to address unique needs of the target populations.
OBJECTIVE:Human immunodeficiency virus (HIV) partner services are an integral part of comprehensive HIV prevention programs. We examined the patterns of HIV testing and positivity among partners of HIV-diagnosed people who participated in partner services programs in CDC-funded state and local health departments. METHODS: We analyzed data on 21 484 partners submitted in 2013-2014 by 55 health departments. We conducted descriptive and multivariate analyses to examine patterns of HIV testing and positivity by demographic characteristics and geographic region. RESULTS: Of 21 484 partners, 16 275 (75.8%) were tested for HIV; 4503 of 12 886 (34.9%) partners with test results were identified as newly HIV-positive. Compared with partners aged 13-24, partners aged 35-44 were less likely to be tested for HIV (adjusted odds ratio [aOR] = 0.86; 95% confidence interval [CI], 0.78-0.95) and more likely to be HIV-positive (aOR = 1.35; 95% CI, 1.20-1.52). Partners who were male (aOR = 0.89; 95% CI, 0.81-0.97) and non-Hispanic black (aOR = 0.68; 95% CI, 0.63-0.74) were less likely to be tested but more likely to be HIV-positive (male aOR = 1.81; 95% CI, 1.64-2.01; non-Hispanic black aOR = 1.52; 95% CI, 1.38-1.66) than partners who were female and non-Hispanic white, respectively. Partners in the South were more likely than partners in the Midwest to be tested for HIV (aOR = 1.56; 95% CI, 1.35-1.80) and to be HIV-positive (aOR = 2.18; 95% CI, 1.81-2.65). CONCLUSIONS: Partner services programs implemented by CDC-funded health departments are successful in providing HIV testing services and identifying previously undiagnosed HIV infections among partners of HIV-diagnosed people. Demographic and regional differences suggest the need to tailor these programs to address unique needs of the target populations.
Entities:
Keywords:
HIV positivity; HIV testing; partner services programs; partners
Authors: K Page-Shafer; P J Veugelers; A R Moss; S Strathdee; J M Kaldor; G J van Griensven Journal: Am J Epidemiol Date: 1997-10-01 Impact factor: 4.897
Authors: Kyle T Bernstein; Sally C Stephens; Nicholas Moss; Susan Scheer; Maree Kay Parisi; Susan S Philip Journal: Public Health Rep Date: 2014 Jan-Feb Impact factor: 2.792
Authors: Maria J Wawer; Ronald H Gray; Nelson K Sewankambo; David Serwadda; Xianbin Li; Oliver Laeyendecker; Noah Kiwanuka; Godfrey Kigozi; Mohammed Kiddugavu; Thomas Lutalo; Fred Nalugoda; Fred Wabwire-Mangen; Mary P Meehan; Thomas C Quinn Journal: J Infect Dis Date: 2005-03-30 Impact factor: 5.226
Authors: Nella Green; Martin Hoenigl; Antoine Chaillon; Christy M Anderson; Sergei L Kosakovsky Pond; Davey M Smith; Susan J Little Journal: AIDS Date: 2017-01-14 Impact factor: 4.177
Authors: Esther E Freeman; Helen A Weiss; Judith R Glynn; Pamela L Cross; James A Whitworth; Richard J Hayes Journal: AIDS Date: 2006-01-02 Impact factor: 4.177
Authors: Sarah J Masyuko; Peter K Cherutich; Marielle G Contesse; Peter M Maingi; Beatrice M Wamuti; Paul M Macharia; David E Bukusi; Felix A Otieno; Hans Ml Spiegel; Matthew D Dunbar; Matthew R Golden; Barbra A Richardson; Carey Farquhar Journal: J Int AIDS Soc Date: 2019-07 Impact factor: 5.396