利用社交软件对MSM线上干预动员线下HIV检测的调查研究

梁军; 陈湛源; 廖斌; 付美艳; 杨爻; 李婕; 李怡

doi:10.16462/j.cnki.zhjbkz.2022.01.009

利用社交软件对MSM线上干预动员线下HIV检测的调查研究

doi: 10.16462/j.cnki.zhjbkz.2022.01.009

梁军¹,
陈湛源²,
廖斌^1, ,,
付美艳¹,
杨爻¹,
李婕¹,
李怡¹

1.
650228 昆明，昆明市疾病预防控制中心
2.
650011昆明，春雨同心工作组

基金项目:

昆明市卫生健康委员会卫生科研课题 2020-12-07-112

详细信息

通讯作者:
廖斌，E-mail: 418744881@qq.com

中图分类号: R512.91;R373.9
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出版历程
- 收稿日期: 2021-01-14
- 修回日期: 2021-03-24
- 网络出版日期: 2022-01-16
- 刊出日期: 2022-01-10

A study of online intervention and mobilization for offline HIV testing among men who have sex with men by using social networking applications

1.
Kunming Center of Disease Control and Prevention, Kunming 650228, China
2.
Spring Rain Workgroup, Kunming 650011, China

Funds:

Health Research Project of Kunming Health Commission 2020-12-07-112

More Information

Corresponding author: LIAO Bin, E-mail: 418744881@qq.com

摘要

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)，使用Blued动员线下检测比例高于其他社交软件(χ²=3.958，P=0.047)，总动员比为100∶2.4，总动员效率为1.01人/d。220名有肛交性行为的MSM根据是否坚持使用安全套分为高危行为组(n=96)与低危行为组(n=124)，高危组的梅毒知识知晓合格比例低于低危组(χ²=6.308，P=0.009)，而HIV检测阳性结果的比例高于低危组(χ²=11.299，P=0.001)。结论使用社交软件线上干预动员线下检测能有效接触HIV感染风险较高的MSM和及时发现已感染的病例，在运用社交软件与目标人群建立联系并互动时，主动接触比被动响应更能提高MSM应答的比例。
- 社交软件 /
- 男男性行为者 /
- 艾滋病 /
- 检测
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.
- Social networking application /
- Men who have sex with men /
- HIV /
- Testing

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表 1 MSM人群线上干预动员参与线下检测情况

Table 1. Online intervention and offline HIV testing attendance for MSM

社交软件分类	线上接触并回应人数[n(%)]	是否线下接受检测		χ²值	P值	动员比	动员效率人/d
社交软件分类	线上接触并回应人数[n(%)]	是[n(%)]	否[n(%)]	χ²值	P值	动员比	动员效率人/d
Blued	677(70.30)	173(25.55)	504(74.45)	3.958	0.047	100∶2.6	0.77
QQ/微信/Aloha	286(29.70)	56(19.58)	230(80.42)			100∶2.0	0.25
合计	963(100.00)	229(23.78)	734(76.22)			100∶2.4	1.01

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表 2 线下检测MSM人群基本情况[n(%)]

Table 2. Demographic characteristics of MSM in offline testing [n(%)]

变量	人数	变量	人数
年龄(岁)		艾滋病知识知晓结果
16~＜21	30(13.10)	不合格	51(22.27)
21~＜31	144(62.88)	合格	178(77.73)
31~＜41	33(14.41)	梅毒知识知晓结果
41~71	22(9.61)	不合格	169(73.80)
工作状态		合格	60(26.20)
退休/无业	12(5.24)	自认性取向
学生	78(34.06)	不确定	8(3.49)
在职	139(60.70)	双性恋	55(24.02)
婚姻状况		同性恋	166(72.49)
已婚/离异	35(15.28)	同性性角色
未婚	194(84.72)	被插入方	51(22.27)
民族		插入方	80(34.93)
汉族	206(89.96)	两者皆是	98(42.80)
其他	23(10.04)	首次同性性行为年龄(岁)
户籍所在地		15~＜21	146(63.76)
云南省	160(69.87)	21~53	83(36.24)
外省	69(30.13)	最近半年是否与同性发生过肛交性行为
文化程度		否	9(3.93)
初中	16(6.99)	是	220(96.07)
高中或中专	29(12.66)	HIV检测结果
大专及以上	184(80.35)	阳性	17(7.42)
月收入(元)		阴性	212(92.58)
1 000~＜3 000	14(6.11)	梅毒检测结果
3 000~＜5 000	73(31.88)	阳性	10(4.37)
≥5 000	55(24.02)	阴性	219(95.63)
无固定收入	87(37.99)

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表 3 线下接受检测MSM人群高危组和低危组特征差异对比分析[n(%)]

Table 3. Comparative analysis of differences in characteristics between high-risk and low-risk sexual behavior subgroups of the MSM tested offline [n(%)]

变量	总人数	低危^a	高危^b	χ²值	P值	变量	总人数	低危^a	高危^b	χ²值	P值
年龄(岁)				3.602	0.308	最近半年同性性伴数				9.680	0.008
16~＜21	30(13.60)	19(63.33)	11(36.67)			1	97(44.10)	66(68.04)	31(31.96)
21~＜31	138(62.70)	81(58.70)	57(41.30)			2~4	107(48.60)	50(46.73)	57(53.27)
31~＜41	32(14.50)	16(50.00)	16(50.00)			≥5	16(7.30)	8(50.00)	8(50.00)
41~71	20(9.10)	8(40.00)	12(60.00)			首次同性性行为年龄(岁)				8.899	0.003
文化程度				3.998	0.135	15~＜21	141(64.10)	90(63.83)	51(36.17)
初中	15(6.80)	7(46.67)	8(53.33)			21~53	79(35.90)	34(43.04)	45(56.96)
高中或中专	29(13.20)	12(41.38)	17(58.62)			HIV检测				11.229	0.001
大专及以上	176(80.00)	105(59.66)	71(40.34)			阳性	17(7.70)	3(17.65)	14(82.35)
工作状态				5.9	0.052	阴性	203(92.30)	121(59.61)	82(40.39)
在职	132(60.00)	66(50.00)	66(50.00)			梅毒检测				1.141	0.286
退休/无业	12(5.50)	9(75.00)	3(25.00)			阳性	10(4.50)	4(40.00)	6(60.00)
学生	76(34.50)	49(64.47)	27(35.53)			阴性	210(95.50)	120(57.14)	90(42.86)
婚姻状况				3.771	0.052	艾滋病知识知晓结果				0.693	0.405
未婚	186(84.50)	110(59.14)	76(40.86)			不合格	47(21.40)	29(61.70)	18(38.30)
已婚/离异	34(15.50)	14(41.18)	20(58.82)			合格	173(78.60)	95(54.91)	78(45.09)
同性肛交性角色				1.965	0.374	梅毒知识知晓结果				6.308	0.009
被插入方	48(21.80)	23(47.92)	25(52.08)			不合格	165(75.00)	85(51.52)	80(48.48)
两者皆是	93(42.30)	56(60.22)	37(39.78)			合格	55(25.00)	39(70.91)	16(29.09)
插入方	79(35.90)	45(56.96)	34(43.04)
注：^a最近半年同性肛交行为中坚持使用安全套; ^b最近半年同性肛交行为中有时使用和从未使用安全套。

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参考文献(11)

[1]	Yang GL, Long J, Luo D, et al. The characteristics and quality of mobile phone Apps targeted at men who have sex with men in China: a window of opportunity for health information dissemination?[J]. JMIR Mhealth and Uhealth, 2019, 7(3): e12573. DOI: 10.2196/12573.
[2]	Luo QQ, Wu ZY, Chen ZH, et al. App use frequency and condomless anal intercourse among men who have sex with men in Beijing, China: a cross-sectional study[J]. Int J STD AIDS, 2019, 30(12): 1146-1155. DOI: 10.1177/0956462419860293.
[3]	Wei L, Chen L, Zhang HB, et al. Use of gay app and the associated HIV/syphilis risk among non-commercial men who have sex with men in Shenzhen, China: a serial cross-sectional study[J]. Sex Transm Infect, 2019, 95(7): 496-504. DOI: 10.1136/sextrans-2018-053902.
[4]	Yan XY, Su HX, Zhang B, et al. Adherence of HIV self-testing among men who have sex with men in China: longitudinal study[J]. J Med Internet Res, 2020, 22(9): e19627. DOI: 10.2196/19627.
[5]	Zou HC, Fan S. Characteristics of men who have sex with men who use smartphone geosocial networking applications and implications for HIV interventions: a systematic review and meta-analysis[J]. Arch Sex Behav, 2017, 46(4): 885-894. DOI: 10.1007/s10508-016-0709-3.
[6]	Sun CJ, Stowers J, Miller C, et al. Acceptability and feasibility of using established geosocial and sexual networking mobile applications to promote HIV and STD testing among men who have sex with men[J]. AIDS Behav, 2015, 19(3): 543-552. DOI: 10.1007/s10461-014-0942-5.
[7]	Alarcon GM, Fernandez QM, Martin VS, et al. Acceptability and effectiveness of using mobile applications to promote HIV and other STI testing among men who have sex with men in Barcelona, Spain[J]. Sex Transm Infect, 2018, 94(6): 443-448. DOI: 10.1136/sextrans-2017-053348.
[8]	Chow JY, Klausner JD. Use of geosocial networking applications to reach men who have sex with men: progress and opportunities for improvement[J]. Sex Transm Infect, 2018, 94(6): 396-397. DOI: 10.1136/sextrans-2018-053622.
[9]	Lampkin D, Crawley A, Lopez TP, et al. Reaching suburban men who have sex with men for STD and HIV services through online social networking outreach: a public health approach[J]. J Acquir Immune Defic Syndr, 2016, 72(1): 73-78. DOI: 10.1097/qai.0000000000000930.
[10]	张海波, Au WW, 赵锦. MSM交友应用程序的发展及对MSM危险性行为的影响[J]. 中国艾滋病性病, 2015, 21(10): 82-85. DOI: 10.13419/j.cnki.aids.2015.10.29. Zhang HB, William WA, Zhao J. The development of the gay dating app and its impact on sexual risk behavior among the men who have sex with men[J]. Chin J AIDS STD, 2015, 21(10): 82-85. DOI: 10.13419/j.cnki.aids.2015.10.29.
[11]	Wang HD, Zhang L, Zhou Y, et al. The use of geosocial networking smartphone applications and the risk of sexually transmitted infections among men who have sex with men: a systematic review and meta-analysis[J]. BMC Public Health, 2018, 18 (1): 1178. DOI: 10.1186/s12889-018-6092-3