Rewley Jeffrey, Fawzi Mary C Smith, McAdam Keith, Kaaya Sylvia, Liu Yuanyuan, Todd Jim, Andrew Irene, Onnela Jukka Pekka
Center for Health Care Innovation, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
CHERP, Philadelphia VAMC, Philadelphia, Pennsylvania, USA.
BMJ Open. 2020 Oct 7;10(10):e033759. doi: 10.1136/bmjopen-2019-033759.
We aim to describe the social network members of participants of a behavioural intervention, and examine how the effects of the intervention may spillover among network members.
Secondary analysis of a step-wedge randomised controlled trial.
Change agents (CAs) were recruited from waiting rooms of HIV treatment facilities in Dar es Salaam, Tanzania, and their network members (NMs) were recruited directly by CAs.
We enrolled 662 CAs in an HIV behavioural intervention. They, along with 710 of their NMs, completed baseline and follow-up interviews from 2011 to 2013.
The primary outcome of this study was change in NMs' HIV knowledge, and the secondary outcome was whether the NM was lost to follow-up.
At baseline, many characteristics were different between NMs and CAs. We found a number of NM characteristics significantly associated with follow-up of NMs, particularly female gender (OR=1.64, 95% CI: 1.02 to 2.63) and HIV knowledge (OR=20.0, 95% CI: 3.70 to 125); only one CA variable was significantly associated with NM follow-up: having a private source of water (OR=2.17, 95% CI: 1.33 to 3.57). The 14.2% increase in NMs' HIV knowledge was largely due to CAs feeling empowered to pass on prior knowledge, rather than transmitting new knowledge to their NMs.
Characteristics of social network members of persons living with HIV persons living with HIV may play a role in study retention. Additionally, the HIV knowledge of these NMs increased largely as a function of CA participation in the intervention, suggesting that intervening among highly-connected individuals may maximise benefits to the potential population for whom spillover can occur.
Clinical Trial: NCT01693458; Post-results.
我们旨在描述一项行为干预参与者的社交网络成员,并研究干预效果如何在网络成员间产生溢出效应。
阶梯楔形随机对照试验的二次分析。
变革推动者(CAs)从坦桑尼亚达累斯萨拉姆的艾滋病治疗机构候诊室招募,其网络成员(NMs)由变革推动者直接招募。
我们招募了662名变革推动者参与艾滋病行为干预。他们与710名网络成员在2011年至2013年期间完成了基线和随访访谈。
本研究的主要结果是网络成员艾滋病知识的变化,次要结果是网络成员是否失访。
在基线时,网络成员和变革推动者之间存在许多不同特征。我们发现一些网络成员特征与网络成员的随访显著相关,特别是女性(比值比=1.64,95%置信区间:1.02至2.63)和艾滋病知识(比值比=20.0,95%置信区间:3.70至125);只有一个变革推动者变量与网络成员随访显著相关:有私人水源(比值比=2.17,95%置信区间:1.33至3.57)。网络成员艾滋病知识增加14.2%主要是因为变革推动者有能力传递先前的知识,而不是向其网络成员传播新知识。
艾滋病感染者社交网络成员的特征可能在研究保留率方面发挥作用。此外,这些网络成员的艾滋病知识很大程度上因变革推动者参与干预而增加,这表明对联系紧密的个体进行干预可能会使溢出效应可能发生的潜在人群受益最大化。
临床试验:NCT01693458;结果后。