Comparing Trajectories of Change in PrEP Readiness Across an Intervention Pilot Trial to Increase Uptake Among Young South African Women: A Markov Modeling Approach.

Elise S Mara, Theresa M Exner, Nonhlonipho Bhengu, Abigail D Harrison, Curtis Dolezal, Jill Hanass-Hancock, Susie Hoffman
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Abstract

Background: In South Africa, uptake of HIV oral pre-exposure prophylaxis (PrEP) has been slow among women, who account for 60% of new HIV diagnoses. A gender-enhanced (GE) online group workshop, Masibambane ("Let Us Work Together") (N = 50), demonstrated greater increases in PrEP stage of change versus providing participants with individual access (IA) to online PrEP educational and motivational materials (N = 50). However, participants began the study at different stages, and it was unclear which women may have benefited most from the intervention. We explored how an underused analytic method could offer greater insight into women's change trajectories.

Methods: Participants completed questionnaires at baseline ("pre-intervention"), post-intervention, and three months after baseline ("follow-up") and documented readiness through a 5-point stage-of-change (SOC) score based on the transtheoretical model. We used Markov transition matrices to calculate probabilities of different trajectories.

Results: Participants who reported 3 ("would like to speak to a counselor") were most likely to transition to 5 ("ready to take PrEP") at post-intervention in the GE arm (Ppost, pre(5|3) = 0.60) but not the IA arm (Ppost, pre(5|3) = 0.17). Those who scored 2 ("uncertain") at pre-intervention also exhibited greater probabilities of upward movement in the GE arm.

Discussion: Compared to IA, GE women who expressed uncertainty or a desire for counseling at baseline were more likely to shift into a state of readiness, driving the observed difference across study arms. This analysis demonstrates how Markov modeling can provide greater understanding of population change dynamics than mean values alone.

在干预试点试验中比较PrEP准备的变化轨迹,以增加年轻南非妇女的吸收:马尔科夫建模方法。
背景:在南非,妇女接受艾滋病毒口服暴露前预防(PrEP)的速度很慢,妇女占艾滋病毒新诊断的60%。一个性别增强(GE)在线小组研讨会Masibambane(“让我们一起工作”)(N = 50)与向参与者提供个人访问(IA)在线PrEP教育和激励材料(N = 50)相比,在PrEP变革阶段取得了更大的进展。然而,参与者在不同的阶段开始研究,目前还不清楚哪些女性可能从干预中受益最多。我们探索了一种未被充分利用的分析方法如何能更深入地了解女性的变化轨迹。方法:参与者在基线(“干预前”)、干预后和基线后三个月(“随访”)完成问卷调查,并通过基于跨理论模型的5分变化阶段(SOC)评分记录准备情况。我们使用马尔可夫转移矩阵来计算不同轨迹的概率。结果:报告3(“想要与咨询师交谈”)的参与者最有可能在干预后在GE组(Ppost, pre(5|3) = 0.60)过渡到5(“准备服用PrEP”),而不是IA组(Ppost, pre(5|3) = 0.17)。那些在干预前得到2分(“不确定”)的人在通用电气方面也表现出更大的向上运动的可能性。讨论:与IA相比,在基线时表示不确定或希望咨询的GE女性更有可能转变为准备状态,从而推动了研究组之间观察到的差异。这一分析表明,与平均值相比,马尔可夫模型可以更好地理解人口变化动态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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