首页> 美国卫生研究院文献>other >Theory-based Text-Messaging to Reduce Methamphetamine Use and HIV Sexual Risk Behaviors among Men who have Sex with Men: Automated Unidirectional Delivery Outperforms Bidirectional Peer Interactive Delivery
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Theory-based Text-Messaging to Reduce Methamphetamine Use and HIV Sexual Risk Behaviors among Men who have Sex with Men: Automated Unidirectional Delivery Outperforms Bidirectional Peer Interactive Delivery

机译:基于理论的短信可减少甲基苯丙胺的使用和与男性发生性行为的男性的HIV性风险行为:自动单向传递优于双向对等互动传递

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摘要

Project Tech Support2 was a randomized controlled trial that tested three methods of text message delivery for reducing methamphetamine use and HIV risks among MSM. From March 2014 to January 2016, 286 methamphetamine-using MSM were randomized into: 1) interactive text conversations with Peer Health Educators, plus five-times-a-day automated theory-based messages, plus a weekly self-monitoring text-message assessment (TXT-PHE; n=94); or, 2) the daily automated messages and weekly self-monitoring assessment (TXT-Auto; n=99); or, 3) weekly self-monitoring assessment only (AO; n=93). All three conditions demonstrated reductions in methamphetamine use (coef.=−0.10), sex on methamphetamine (coef.=−0.09), and condomless anal intercourse (CAI) with casual male partners (coef.=−0.06). Only participants in TXT-PHE and TEXT-Auto also reduced CAI with main male partners (coefTXT-PHE=−0.19; coef.TXT-Auto=−0.16), and only TEXT-Auto participants reduced CAI with anonymous male partners (coef.=−0.05). Additionally, both theory-based text-messaging interventions achieved sustained reductions in five of the six outcomes through nine months. Overall, automated delivery outperformed peer-delivered messaging.
机译:Project Tech Support2是一项随机对照试验,测试了三种短信传递方法,以减少MSM中甲基苯丙胺的使用和降低HIV风险。从2014年3月到2016年1月,使用286种甲基苯丙胺的MSM被随机分为:1)与Peer Health Educator进行交互式文本对话,每天进行五次基于理论的自动化消息,以及每周一次的自我监测文本消息评估(TXT-PHE; n = 94);或者,2)每日自动消息和每周自我监控评估(TXT-Auto; n = 99);或3)仅进行每周自我监测评估(AO; n = 93)。所有这三种情况均显示出甲基苯丙胺使用量减少(coef。=-0.10),甲基苯丙胺发生性行为减少(coef。=-0.09)以及与休闲男性伴侣发生无避孕套肛交(CAI)(coef。=-0.06)。只有TXT-PHE和TEXT-Auto的参与者也降低了主要男性伴侣的Coi(coefTXT-PHE = −0.19; coef.TXT-Auto = −0.16),只有TEXT-Auto的参与者降低了与匿名男性伴侣的coi。 = -0.05)。此外,两种基于理论的文本消息干预措施在9个月内都实现了六个结果中五个结果的持续减少。总体而言,自动化传递的性能优于对等传递的消息传递。

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