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Predicting partner HIV testing and counseling following a partner notification intervention
Lillian B Brown1, William C Miller, Gift Kamanga
1Department of Epidemiology, CB#7435, University of North Carolina-Chapel Hill, Chapel Hill, NC 27599-7435, USA. lbbrown@med.unc.edu
Provider-assisted HIV partner notification increases testing, but is resource-intensive. A new risk score identifies partners unlikely to seek testing independently, optimizing resource allocation for HIV partner services.
Area of Science:
- Public Health
- Epidemiology
- Infectious Disease Control
Background:
- Provider-assisted partner notification enhances HIV testing and counseling for sexual partners.
- These methods are effective but require significant resources.
- Identifying individuals unlikely to seek testing independently is crucial for efficient resource allocation.
Purpose of the Study:
- To analyze sexual partners in an HIV clinical trial.
- To identify characteristics of partners unlikely to seek HIV testing on their own.
- To develop a risk score for targeted partner notification strategies.
Main Methods:
- Unconditional logistic regression analysis of partnership characteristics.
- Development of a risk score based on model coefficients.
- Evaluation of the risk score's sensitivity and specificity.
Main Results:
- Key predictors for not seeking testing included male partner sex, relationship duration of 6-24 months, and index education above primary.
- A risk score of ≥ 2 demonstrated 68% sensitivity and 78% specificity.
- The risk score effectively identified partners disinclined to seek testing independently.
Conclusions:
- A targeted risk score can optimize resource allocation for HIV partner notification.
- This approach increases testing yield compared to patient-referral methods.
- Efficiently locating at-risk partners in the community is achievable with this scoring system.
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