dc.contributor.author | Muttai, Hellen | |
dc.contributor.author | Guyah, Bernard | |
dc.contributor.author | Musingila, Paul | |
dc.contributor.author | Achia, Thomas | |
dc.contributor.author | Miruka, Fredrick | |
dc.contributor.author | Wanjohi, Stella | |
dc.contributor.author | Dande, Caroline | |
dc.contributor.author | Musee, Polycarp | |
dc.contributor.author | Lugalia, Fillet | |
dc.contributor.author | Onyango, Dickens | |
dc.contributor.author | Kinywa, Eunice | |
dc.contributor.author | Okomo, Gordon | |
dc.contributor.author | Moth, Iscah | |
dc.contributor.author | Omondi, Samuel | |
dc.contributor.author | Ayieko, Caren | |
dc.contributor.author | Nganga, Lucy | |
dc.contributor.author | Joseph, Rachael H. | |
dc.contributor.author | Zielinski-Gutierrez, Emily | |
dc.date.accessioned | 2024-06-05T09:58:38Z | |
dc.date.available | 2024-06-05T09:58:38Z | |
dc.date.issued | 2021-02 | |
dc.identifier.uri | https://doi.org/10.1007/s10461-020-02962-7 | |
dc.identifier.uri | http://repository.kemri.go.ke:8080/xmlui/handle/123456789/551 | |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer Link | en_US |
dc.title | Development and Validation of a Sociodemographic and Behavioral Characteristics-Based Risk-Score Algorithm for Targeting HIV Testing Among Adults in Kenya | en_US |
dc.type | Article | en_US |
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