Kiekens Anneleen, Mosha Idda H, Zlatić Lara, Bwire George M, Mangara Ally, Dierckx de Casterlé Bernadette, Decouttere Catherine, Vandaele Nico, Sangeda Raphael Z, Swalehe Omary, Cottone Paolo, Surian Alessio, Killewo Japhet, Vandamme Anne-Mieke
Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Clinical and Epidemiological Virology, Institute for the Future, KU Leuven, 3000 Leuven, Belgium.
Department of Behavioural Sciences, Muhimbili University of Health and Allied Sciences, Dar es Salaam 65015, Tanzania.
Pathogens. 2021 Nov 24;10(12):1535. doi: 10.3390/pathogens10121535.
HIV drug resistance (HIVDR) is a complex problem with multiple interconnected and context dependent causes. Although the factors influencing HIVDR are known and well-studied, HIVDR remains a threat to the effectiveness of antiretroviral therapy. To understand the complexity of HIVDR, a comprehensive, systems approach is needed. Therefore, a local systems map was developed integrating all reported factors influencing HIVDR in the Dar es Salaam Urban Cohort Study area in Tanzania. The map was designed based on semi-structured interviews and workshops with people living with HIV and local actors who encounter people living with HIV during their daily activities. We visualized the feedback loops driving HIVDR, compared the local map with a systems map for Sub-Saharan Africa, previously constructed from interviews with international HIVDR experts, and suggest potential interventions to prevent HIVDR. We found several interconnected balancing and reinforcing feedback loops related to poverty, stigmatization, status disclosure, self-esteem, knowledge about HIVDR and healthcare system workload, among others, and identified three potential leverage points. Insights from this local systems map were complementary to the insights from the Sub-Saharan systems map showing that both viewpoints are needed to fully understand the system. This study provides a strong baseline for quantitative modelling, and for the identification of context-dependent, complexity-informed leverage points.
艾滋病毒耐药性(HIVDR)是一个复杂的问题,其成因相互关联且取决于具体情况。尽管影响艾滋病毒耐药性的因素已为人所知且得到了充分研究,但艾滋病毒耐药性仍然对抗逆转录病毒疗法的有效性构成威胁。为了理解艾滋病毒耐药性的复杂性,需要一种全面的系统方法。因此,在坦桑尼亚达累斯萨拉姆城市队列研究区,绘制了一幅整合所有已报告的影响艾滋病毒耐药性因素的本地系统图。该图是根据对艾滋病毒感染者以及在日常活动中接触艾滋病毒感染者的当地行为者进行的半结构化访谈和研讨会设计的。我们直观展示了驱动艾滋病毒耐药性的反馈回路,将本地系统图与此前根据对国际艾滋病毒耐药性专家的访谈构建的撒哈拉以南非洲系统图进行了比较,并提出了预防艾滋病毒耐药性的潜在干预措施。我们发现了几个与贫困、污名化、身份披露、自尊、艾滋病毒耐药性知识以及医疗系统工作量等相关的相互关联的平衡和强化反馈回路,并确定了三个潜在的杠杆点。这幅本地系统图的见解与撒哈拉以南非洲系统图的见解相辅相成,表明要全面理解该系统,两种观点都不可或缺。这项研究为定量建模以及识别取决于具体情况、基于复杂性的杠杆点提供了有力的基线。