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利用社交软件对MSM线上干预动员线下HIV检测的调查研究
引用本文:梁军,陈湛源,廖斌,付美艳,杨爻,李婕,李怡.利用社交软件对MSM线上干预动员线下HIV检测的调查研究[J].中华疾病控制杂志,2022,26(1):51-55.
作者姓名:梁军  陈湛源  廖斌  付美艳  杨爻  李婕  李怡
作者单位:1.650228 昆明,昆明市疾病预防控制中心
基金项目:昆明市卫生健康委员会卫生科研课题(2020-12-07-112)。
摘    要:目的 了解通过社交软件线上干预动员MSM参与线下HIV检测的效果,并调查分析线下接受检测者的特征.方法 分析比较通过不同社交软件线上所接触动员人数与线下实际检测人数,描述线下接受检测的MSM人群特征,并对感染风险高、低分组的MSM特征差异进行比较.结果 线上干预动员MSM参与线下检测比例为23.78% (229/963...

关 键 词:社交软件  男男性行为者  艾滋病  检测
收稿时间:2021-01-14

A study of online intervention and mobilization for offline HIV testing among men who have sex with men by using social networking applications
LIANG Jun,CHEN Zhan-yuan,LIAO Bin,FU Mei-yan,YANG Yao,LI Jie,LI Yi.A study of online intervention and mobilization for offline HIV testing among men who have sex with men by using social networking applications[J].Chinese Journal of Disease Control & Prevention,2022,26(1):51-55.
Authors:LIANG Jun  CHEN Zhan-yuan  LIAO Bin  FU Mei-yan  YANG Yao  LI Jie  LI Yi
Institution:1.Kunming Center of Disease Control and Prevention, Kunming 650228, China2.Spring Rain Workgroup, Kunming 650011, China
Abstract:  Objective  To understand the effectiveness of the online intervention to mobilize men who have sex with men (MSM) to participate in offline HIV testing through social networking applications, and to investigate and analyze the characteristics of offline test participants.  Methods  We analyzed and compared the number of MSM online contacted through different social networking applications with the number actually tested offline. Then, we characterized the MSM tested offline as well as to compare the differences in the characteristics of MSM in high and low risk groups of infection.  Results  The online intervention mobilized 23.78% of MSM to participate in offline testing (229/963), with a higher percentage of offline testing recruited using Blued than other social networking applications (χ2=3.958, P=0.047). The total recruitment ratio was 100:2.4, and A total recruitment efficiency was 1.01 persons/day. A total of 220 MSM who had anal sex were divided into a high-risk behavior group (n=96) versus a low-risk behavior group (n=124) based on whether or not they consistently used condoms. The percentage of qualified syphilis knowledge in the high-risk group was lower than in the low-risk group (χ2=6.308, P=0.009), while the percentage of positive HIV test results was higher than in the low-risk group (χ2=11.299, P=0.001).  Conclusions  Using social networking applications to mobilize MSM to participate in offline testing were effective in reaching groups at higher risk of HIV infection, as well as in detecting infected cases timely. When communicating and intervening with the target population online, proactive contact increased the proportion of MSM responding more than passive reply.
Keywords:Social networking application  Men who have sex with men  HIV  Testing
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