Adherence to antiretroviral therapy (biomarker and self reported data) in East Zimbabwe.

This data is an accompaniment to the journal article 'Might ART Adherence Estimates Be Improved by Combining Biomarker and Self-Report Data?' (Rhead et al. 2016) Abstract: As we endeavour to examine rates of viral suppression in PLHIV, reliable data on ART adherence are needed to distinguish between the respective contributions of poor adherence and treatment failure on high viral load. Self-reported data are susceptible to response bias and although biomarker data on drug presence and concentration can provide a superior, alternative method of measurement, complications due to drug-drug interactions and genetic variations can cause some inaccuracies. We investigate the feasibility of combining both biomarker and self-report data to produce a potentially more accurate measure of ART adherence. Data were taken from a large general-population survey in the Manicaland province, Zimbabwe, conducted in 2009-2011. HIV-infected adults who had initiated ART (N=560) provided self-report data on adherence and dried blood spot samples that were analysed for traces of ART medication. Using this data, new three-category measure of ART adherence was constructed, based on biomarker data but using self-report data to adjust for cases with abnormally low and high drug concentrations due to possible drug-drug interactions and genetic factors, and was assessed for plausibility using survey data on socio-demographic correlates.<br>The Manicaland Centre is a major collaborative scientific HIV/STD Prevention research initiative that has been underway in rural areas of eastern Zimbabwe since the early 1990s. The principal collaborating institutions in the project are the Biomedical Research and Training Institute in Harare and Imperial College London. We also have joint research projects with people from the London School of Hygiene and Tropical Medicine and the University of Copenhagen. The Manicaland Project has one of the largest prospective population-based surveys in Africa. This has allowed us to uniquely track trends in the spread, impact and control of the epidemic in Zimbabwe. Using quantitative, qualitative and mathematical modelling methods to describe and interpret trends in the HIV epidemic in eastern Zimbabwe, the Project has contributed significantly to our understanding of the HIV epidemic in Africa.<br><br>

本数据集为期刊论文《结合生物标志物与自我报告数据能否提升抗逆转录病毒治疗（Antiretroviral Therapy, ART）依从性评估精度？》（Rhead等，2016）的配套研究数据。
摘要：在探究人类免疫缺陷病毒感染者（People Living with HIV, PLHIV）的病毒抑制率时，需获取可靠的ART依从性数据，以区分依从性不佳与治疗失败对高病毒载量的各自影响。自我报告数据易受应答偏倚影响；尽管检测药物存在与浓度的生物标志物数据可提供更优质的替代检测手段，但药物相互作用与遗传变异引发的复杂情况可能导致部分误差。本研究旨在探究结合生物标志物与自我报告数据，以构建潜在更精准的ART依从性评估方法的可行性。
数据集源自2009-2011年在津巴布韦马尼卡兰省开展的大型全人口调查。共560名已启动ART的HIV感染成年人提供了依从性相关的自我报告数据，并采集了干血斑样本以分析ART药物残留。基于本次调研数据，研究团队以生物标志物数据为基础，构建了新型三分法ART依从性评估指标，同时利用自我报告数据，针对因潜在药物相互作用与遗传因素导致的药物浓度异常偏高或偏低的案例进行校正，并通过社会人口学关联因素的调查数据对该指标的合理性进行了验证。

马尼卡兰研究中心是一项大型跨学科HIV/性病预防合作研究项目，自20世纪90年代初起便在津巴布韦东部农村地区持续开展。该项目的主要合作机构为哈拉雷生物医学研究与培训研究所（Biomedical Research and Training Institute）与伦敦帝国理工学院（Imperial College London）；本团队同时与伦敦卫生与热带医学院（London School of Hygiene and Tropical Medicine）以及哥本哈根大学（University of Copenhagen）的研究人员开展联合研究项目。
马尼卡兰项目拥有非洲规模最大的前瞻性人口队列调查之一，这使得我们能够独家追踪津巴布韦艾滋病疫情的传播、影响与防控趋势。该项目通过定量、定性与数学建模方法，描述并解析津巴布韦东部的HIV疫情趋势，为深入理解非洲的HIV疫情做出了重要贡献。