谷歌浏览器插件
订阅小程序
在清言上使用

Determinants of Disclosure, Adherence and Viral Suppression in Children and Adolescents Living with HIV in Ecuador

˜The œPediatric infectious disease journal/˜The œpediatric infectious disease journal(2022)

引用 2|浏览6
暂无评分
摘要
Background: Studies on HIV disclosure and adherence among children performed in Latin America are anecdotal. We aimed to assess the factors associated with HIV disclosure, adherence and viral suppression among Ecuadorian children and compare the psychologic consequences and the impact on adherence and viral suppression of early against late disclosure age. Methods: Cross-sectional study using a questionnaire and collected data on medical records of HIV-infected children between 6 and 21 years of age in Ecuador. Results: In 250 children included, HIV diagnosis was revealed at a median age of 11 years (p25-p75 9-12). Children 12 years old or older (P < 0.0001), 10 or more years since HIV diagnosis (P = 0.001), antiretroviral initiation above 3 years of age (P = 0.018) and decease of the mother (P = 0.048) were significantly associated with total disclosure in multivariate analysis. Profound sadness or anxiety was significantly more common when diagnosis was disclosed after 12 years of age (28.4%) than before (15.4%, P = 0.047). According to the simplified medication adherence questionnaire, 194 children (78.2%) were adherent to antiretroviral therapy and HIV-RNA viral load was undetectable in 168 (67.7%). In multivariate analysis, variables associated with nonadherence were age ≥14 years (P < 0.001), taking ≥3 daily antiretroviral pills (P = 0.013) and the presence of adverse effects (P < 0.001), whereas nonadherence (P = 0.001) was the only variable significantly associated with an unsuppressed HIV-RNA viral load. Conclusions: Although we failed to show that an earlier disclosure age is followed by better adherence outcomes, psychological outcomes did seem to improve, supporting disclosure before 12 years of age.
更多
查看译文
关键词
HIV,disclosure,adherence,viral suppression,children
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要