ArticleAIDS and behavior2021
Development and Validation of a Sociodemographic and Behavioral Characteristics-Based Risk-Score Algorithm for Targeting HIV Testing Among Adults in Kenya.
Article in AIDS and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 4 of them syntheses that pooled it.
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Who cites it
11 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Risk prediction models for targeted testing of HIV, hepatitis B and hepatitis C: a systematic review and meta-analysis.BMC infectious diseases · 2025Pooled it
- Poor handling of continuous predictors in clinical prediction models using logistic regression: a systematic review.Journal of clinical epidemiology · 2023Pooled it
- Performance of HIV Infection Prediction Models in Men Who Have Sex with Men: A Systematic Review and Meta-Analysis.Archives of sexual behavior · 2023Pooled it
- Risk-Based Screening Tools to Optimise HIV Testing Services: a Systematic Review.Current HIV/AIDS reports · 2022Pooled it
- HIV Risk Score and Prediction Model in the United States: A Scoping Review.AIDS and behavior · 2025Article
- Risk Screening Tools Could Potentially Miss HIV-Positive Individuals Who Seek Testing Services: A Secondary Program Data Analysis on the Performance Characteristics of an Adolescent and Adult HIV Risk Screening Tool in Uganda.Tropical medicine and infectious disease · 2024Article
- Article
- Uptake and acceptability of oral HIV self-testing in the context of assisted partner services in Western Kenya: A mixed-methods analysis.PLOS global public health · 2024Article
- Developing HIV risk prediction tools in four African settings.Tropical medicine & international health : TM & IH · 2023Article
- Development and validation of a prediction tool to support engagement in HIV care among young people ages 10-24 years in Kenya.PloS one · 2023Article
- Screening Adults for HIV Testing in the Outpatient Department: An Assessment of Tool Performance in Malawi.AIDS and behavior · 2022Article
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Authors and funding
18 authors.
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Abstract
To inform targeted HIV testing, we developed and externally validated a risk-score algorithm that incorporated behavioral characteristics. Outpatient data from five health facilities in western Kenya, comprising 19,458 adults ≥ 15 years tested for HIV from September 2017 to May 2018, were included in univariable and multivariable analyses used for algorithm development. Data for 11,330 adults attending one high-volume facility were used for validation. Using the final algorithm, patients were grouped into four risk-score categories: ≤ 9, 10-15, 16-29 and ≥ 30, with increasing HIV prevalence of 0.6% [95% confidence interval (CI) 0.46-0.75], 1.35% (95% CI 0.85-1.84), 2.65% (95% CI 1.8-3.51), and 15.15% (95% CI 9.03-21.27), respectively. The algorithm's discrimination performance was modest, with an area under the receiver-operating-curve of 0.69 (95% CI 0.53-0.84). In settings where universal testing is not feasible, a risk-score algorithm can identify sub-populations with higher HIV-risk to be prioritized for HIV testing.
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