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Predicting Partner HIV Testing and Counseling Following a Partner Notification Intervention

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Journal AIDS Behav
Date 2011 Nov 29
PMID 22120879
Citations 18
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Abstract

Provider-assisted methods of partner notification increase testing and counseling among sexual partners of patients diagnosed with HIV, however they are resource-intensive. The sexual partners of individuals enrolled in a clinical trial comparing different methods of HIV partner notification were analyzed to identify who was unlikely to seek testing on their own. Unconditional logistic regression was used to identify partnership characteristics, which were assigned a score based on their coefficient in the final model, and a risk score was calculated for each participant. The risk score included male partner sex, relationship duration 6-24 months, and index education > primary. A risk score of ≥ 2 had a sensitivity of 68% and specificity of 78% in identifying partners unlikely to seek testing on their own. A risk score to target partner notification can reduce the resources required to locate all partners in the community while increasing the testing yield compared to patient-referral.

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References
1.
Harry T, Sillis M . Outcome of partner notification of HIV infection in a provincial clinic in East Anglia, UK. Int J STD AIDS. 2008; 19(1):53-4. DOI: 10.1258/ijsa.2007.007070. View

2.
Williams R . A note on robust variance estimation for cluster-correlated data. Biometrics. 2000; 56(2):645-6. DOI: 10.1111/j.0006-341x.2000.00645.x. View

3.
Mathews C, Coetzee N, Zwarenstein M, Lombard C, Guttmacher S, Oxman A . A systematic review of strategies for partner notification for sexually transmitted diseases, including HIV/AIDS. Int J STD AIDS. 2002; 13(5):285-300. DOI: 10.1258/0956462021925081. View

4.
Guthrie B, de Bruyn G, Farquhar C . HIV-1-discordant couples in sub-Saharan Africa: explanations and implications for high rates of discordancy. Curr HIV Res. 2007; 5(4):416-29. DOI: 10.2174/157016207781023992. View

5.
Chen Z, Branson B, Ballenger A, Peterman T . Risk assessment to improve targeting of HIV counseling and testing services for STD clinic patients. Sex Transm Dis. 1998; 25(10):539-43. DOI: 10.1097/00007435-199811000-00008. View