医学
逻辑回归
人口
代理(统计)
可能性
人类免疫缺陷病毒(HIV)
横断面研究
优势比
人口学
环境卫生
家庭医学
内科学
病理
计算机科学
机器学习
社会学
作者
Jonathan G. Lawton,Marie‐Claude Lavoie,Adebobola Bashorun,Ibrahim Dalhatu,Ibrahim Jahun,Chinedu Agbakwuru,Mary Adetinuke Boyd,Kristen A. Stafford,Mahesh Swaminathan,Gambo Aliyu,Manhattan Charurat
出处
期刊:AIDS
[Ovid Technologies (Wolters Kluwer)]
日期:2022-10-13
卷期号:37 (1): 191-196
被引量:1
标识
DOI:10.1097/qad.0000000000003404
摘要
Non-disclosure of positive HIV status in population-based surveys causes underestimation of national HIV diagnosis and biases inferences about engagement in the care continuum. This study investigated individual and household factors associated with HIV non-disclosure to survey interviewers in Nigeria.Secondary analysis of a cross sectional population-based household HIV survey.We analyzed data from adults aged 15-64 years who tested positive for HIV and had antiretroviral drugs (ARVs) in their blood from a nationally representative HIV sero-survey conducted in Nigeria in 2018. We considered ARV use as a proxy for knowledge of HIV diagnosis; thus, respondents who self-reported to be unaware of their HIV status were classified as non-disclosers. We estimated the associations between non-disclosure and various sociodemographic, clinical, and household characteristics using weighted logistic regression.Among 1266 respondents living with HIV who were taking ARVs, 503 (40%) did not disclose their HIV status to interviewers. In multivariable statistical analyses, the adjusted odds of non-disclosure were highest among respondents aged 15-24 years, those with less than a primary school education, and those who were the only person living with HIV in their household.Non-disclosure of positive HIV status to survey personnel is common among adults who are receiving treatment in Nigeria. These findings highlight the importance of validating self-reported HIV status in surveys using biomarkers of ARV use. Meanwhile, it is crucial to improve disclosure by strengthening interview procedures and tailoring strategies towards groups that are disproportionately likely to underreport HIV diagnoses.
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