Modeling time taken for HIV testing and visits in follow-up clinic to uptake test results: an application of extended Cox proportional hazard model

IF 0.3 Q4 INFECTIOUS DISEASES
Suchira S.S. Mullege, Samita S.
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引用次数: 1

Abstract

Introduction: Improving human immunodeficiency virus (HIV) testing among most at risk popu­ lations (MARP) is one of the first steps to achieve sustainable development goal target of ending acquired immunodeficiency syndrome (AIDS) by 2030. Studying the time taken for HIV testing and subsequent clinic visits to collect the results provide important inputs for development of HIV prevention programs. This study aimed to identify the pattern of HIV testing behavior of female sex workers (FSWs) over time and developing of statistical models to describe HIV testing behavior among MARP. Material and methods: HIV testing data of 5,667 FSWs registered with national HIV prevention pro­ gram in 10 districts of Sri Lanka during 2016 and 2017 were analyzed using Cox proportional hazard model (CPHM) with time­dependent covariates. Results: Time taken to acceptance of HIV testing is more dependent on individual factors of FSWs, whereas the uptake of results is less dependent on individual factors. Youth FSWs take more time to accept an HIV test. FSWs who operate in districts out of Colombo, use condoms and report under­ going HIV testing before joining the programme take more time for testing and collection of the re­ sults. FSWs with high partner exchange rate (therefore, at high­risk) are less likely to complete both events and take more time for testing. Most of these covariates were identified as time­dependent, and the effects showed a reducing pattern over time. Extended CPHM paved the way to model such variables. Conclusions: Factors identified in the study, as associated with time taken for both events, can be consider in planning activities leading to HIV preventions programs. Extended CPHM was found to be an alternative technique to CPHM to model time for testing and subsequent clinic visit to uptake the results, especially in the presence of an HIV prevention program.
模拟HIV检测和随访诊所就诊时间对检测结果的吸收:扩展Cox比例风险模型的应用
在最危险人群(MARP)中改善人类免疫缺陷病毒(HIV)检测是实现到2030年消除获得性免疫缺陷综合征(艾滋病)的可持续发展目标的第一步。研究艾滋病毒检测和随后的诊所访问收集结果所花费的时间为艾滋病毒预防计划的发展提供了重要的投入。本研究旨在确定女性性工作者(fsw)的HIV检测行为随时间的变化规律,并建立统计模型来描述MARP的HIV检测行为。材料与方法:采用含时间相关协变量的Cox比例风险模型(CPHM)分析斯里兰卡10个地区2016年和2017年在国家艾滋病毒预防规划中登记的5667家fsw的艾滋病毒检测数据。结果:接受艾滋病毒检测所需的时间更多地取决于FSWs的个体因素,而接受结果对个体因素的依赖性较小。青年外佣接受爱滋病病毒测试的时间较长。在科伦坡以外的地区经营的女服务员使用避孕套,并在加入该计划之前报告正在进行艾滋病毒检测,这需要更多的时间进行检测和收集结果。具有高合作伙伴交换率的fsw(因此,处于高风险)不太可能完成这两个事件,并且需要更多的时间进行测试。这些协变量中的大多数被确定为时间依赖性,并且随着时间的推移,其影响显示出减少的模式。扩展的CPHM为这些变量建模铺平了道路。结论:研究中确定的因素,与这两种事件所需的时间有关,可以在规划导致艾滋病毒预防方案的活动时加以考虑。扩展CPHM被发现是CPHM的一种替代技术,用于模拟测试时间和随后的临床访问以获取结果,特别是在存在艾滋病毒预防计划的情况下。
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来源期刊
HIV & AIDS Review
HIV & AIDS Review INFECTIOUS DISEASES-
CiteScore
0.50
自引率
0.00%
发文量
30
审稿时长
12 weeks
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