Intervention to Increase Condom Use and HIV Testing Among Men Who Have Sex with Men in China: A Meta-Analysis

2013 ◽  
Vol 29 (3) ◽  
pp. 441-448 ◽  
Author(s):  
Zhaohui Huang ◽  
Min Wang ◽  
Lijun Fu ◽  
Yirong Fang ◽  
Jiahu Hao ◽  
...  
2014 ◽  
Vol 17 (1) ◽  
pp. 18573 ◽  
Author(s):  
Abdulsalam Alkaiyat ◽  
Christian Schaetti ◽  
Mohammad Liswi ◽  
Mitchell G Weiss
Keyword(s):  

2019 ◽  
Author(s):  
Meiqi Xin ◽  
Kasisomayajula Viswanath ◽  
Angela Yuen-Chun Li ◽  
Wangnan CAO ◽  
Yuhong HU ◽  
...  

BACKGROUND The disproportionately high prevalence of HIV among men who have sex with men (MSM) is a global concern. Despite the increasing utilization of electronic health (eHealth) technology in the delivery of HIV prevention interventions, few studies have systematically explored its effectiveness and association with various intervention characteristics. OBJECTIVE This study aimed to conduct a meta-analysis of the effectiveness of eHealth technology–based interventions for promoting HIV-preventive behaviors among MSM and to determine effectiveness predictors within a framework integrating design and implementation features. METHODS A systematic literature search using terms related to eHealth technology, HIV, the MSM population, and an experimental study design was performed using 5 databases (ie, MEDLINE, PsycINFO, EMBASE, Web of Science, and ProQuest Dissertations &amp; Theses) and other sources (eg, bibliographies of relevant reviews and JMIR Publications). First, primary meta-analyses were conducted to estimate the effectiveness of eHealth interventions (<i>d</i><sub>+</sub>) in changing 3 HIV-preventive behaviors among MSM: unprotected anal intercourse (UAI), HIV testing, and multiple sex partnership (MSP). Moderation analyses were then conducted to examine a priori effectiveness predictors including behavioral treatment components (eg, theory use, tailoring strategy use, navigation style, and treatment duration), eHealth technology components (eg, operation mode and modality type), and intervention adherence. RESULTS A total of 46 studies were included. The overall effect sizes at end point were small but significant for all outcomes (UAI: <i>d</i><sub>+</sub>=−.21, <i>P</i>&lt;.001; HIV testing: <i>d</i><sub>+</sub>=.38, <i>P</i>&lt;.001; MSP: <i>d</i><sub>+</sub>=−.26, <i>P</i>=.02). The intervention effects on UAI were significantly larger when compared with preintervention groups than with concurrent groups. Greater UAI reductions were associated with the increased use of tailoring strategies, provision of feedback, and tunneling navigation in interventions with a concurrent group, whereas reductions were associated with the use of self-paced navigation in interventions with a preintervention group. Greater uptake of HIV testing was associated with longer treatment duration; computer-mediated communication; and the use of messaging, social media, or a combined technology modality. Higher intervention adherence consistently predicted larger effects on UAI and HIV testing. CONCLUSIONS This study provided empirical evidence for the effectiveness of eHealth interventions in promoting HIV-preventive behaviors among MSM. Features of treatment content and eHealth technology might best predict the intervention effects on UAI and HIV testing, respectively. Most importantly, intervention adherence tended to play an important role in achieving better effectiveness. The findings could help inform the development of efficacious interventions for HIV prevention in the future.


Sexual Health ◽  
2019 ◽  
Vol 16 (6) ◽  
pp. 554 ◽  
Author(s):  
Song Fan ◽  
Zuyao Yang ◽  
Fengsu Hou ◽  
Maohe Yu ◽  
Zhenzhou Luo ◽  
...  

Background This study was conducted to summarise the HIV epidemic, sexual behaviours and HIV testing among men who have sex with men (MSM) attending university in China. Methods: Five databases were searched for student MSM information in English and Chinese language publications. Meta-analyses were performed to calculate the pooled prevalence of HIV and syphilis, pooled mean age at first anal intercourse (AFAI) and the rate of other HIV-related behaviours among MSM attending university in China. Univariate meta-regression and subgroup analysis were conducted to explore potential sources of heterogeneity. Publication bias was measured using Egger’s test. Results: Thirty-three articles representing 31 studies were included in the analysis. The pooled HIV prevalence was 4.1% (95% CI 3.1–5.0%). The estimated AFAI was 18.7 years, but 37.5% of students had their first anal intercourse before 18 years of age. Most (88.2%) had their first sexual intercourse with a male partner. Of the MSM attending university, 4.2% of MSM engaged in commercial sex (either selling or buying sex), 10.3% had ever engaged in group sex, 13.1% had had sex with a female partner in the past month and 10.1% had ever used drugs. Most (77.7%) sought sex partners via geosocial networking gay apps or the Internet, and 42.9% had ever tested for HIV. There was a tendency for an increase in lifetime HIV testing rate from 32% in 2005–07 to 53% in 2014–16. Conclusions: This review found high HIV prevalence, early AFAI and a high prevalence of sexual risk behaviours among MSM attending university in China. Interventions aimed at increasing HIV testing and reducing sexual risk behaviours are urgently needed among this young population.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Weiming Tang ◽  
Wenting Huang ◽  
Haidong Lu ◽  
Bolin Cao ◽  
Dan Wu ◽  
...  

Abstract Background HIV self-testing (HIVST) is a promising approach to expand HIV testing. HIVST is a process in which a person performs an HIV test and interprets the result. Negative HIVST results may encourage men who have sex with men (MSM) to use HIV prevention services. The objective of this study was to examine behaviors (e.g., facility-based HIV testing, condom use) after a negative HIVST test result among Chinese MSM. Methods We collected data from MSM in eight Chinese cities over a 12-month period. This is a secondary analysis of longitudinal cohort data collected as part of an intervention trial to increase HIV testing. Men completed a survey that described sociodemographic information, sexual behaviors, HIV self-testing, and facility-based HIV testing. Men who completed at least one follow-up survey were included in this analysis. Generalized linear mixed models were used to evaluate whether HIVST increased subsequent facility-based HIV testing and consistent condom use. Results We included 1219 men. Most men (78.7%) were under 30 years old and had never been married (87.0%). 755 (61.9%) men tested for HIV and 593 (49.3%) men self-tested during the study period. At baseline, among men who had never been tested for HIV, 44.9% (314/699) initiated HIVST during the study period. HIVST was associated with subsequent facility-based testing (aOR of 1.87, 95% CI: 1.47–2.37). HIVST was also associated with subsequent consistent condom use (aOR = 1.53, 95% CI: 1.13–2.06). Conclusion HIVST was associated with subsequent facility-based HIV testing and consistent condom use. HIVST may enhance uptake of related HIV prevention services at facilities, suggesting the need for more implementation research.


2015 ◽  
Vol 29 (8) ◽  
pp. 454-460 ◽  
Author(s):  
Eric P.F. Chow ◽  
Keith Tung ◽  
Joseph D. Tucker ◽  
Kathryn E. Muessig ◽  
Shu Su ◽  
...  

2019 ◽  
Vol 6 (11) ◽  
pp. e769-e787 ◽  
Author(s):  
James Stannah ◽  
Elizabeth Dale ◽  
Jocelyn Elmes ◽  
Roisin Staunton ◽  
Chris Beyrer ◽  
...  

2012 ◽  
Vol 16 (7) ◽  
pp. 1717-1728 ◽  
Author(s):  
Huachun Zou ◽  
Nan Hu ◽  
Qianqian Xin ◽  
Jack Beck

10.2196/15977 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e15977
Author(s):  
Meiqi Xin ◽  
Kasisomayajula Viswanath ◽  
Angela Yuen-Chun Li ◽  
Wangnan CAO ◽  
Yuhong HU ◽  
...  

Background The disproportionately high prevalence of HIV among men who have sex with men (MSM) is a global concern. Despite the increasing utilization of electronic health (eHealth) technology in the delivery of HIV prevention interventions, few studies have systematically explored its effectiveness and association with various intervention characteristics. Objective This study aimed to conduct a meta-analysis of the effectiveness of eHealth technology–based interventions for promoting HIV-preventive behaviors among MSM and to determine effectiveness predictors within a framework integrating design and implementation features. Methods A systematic literature search using terms related to eHealth technology, HIV, the MSM population, and an experimental study design was performed using 5 databases (ie, MEDLINE, PsycINFO, EMBASE, Web of Science, and ProQuest Dissertations & Theses) and other sources (eg, bibliographies of relevant reviews and JMIR Publications). First, primary meta-analyses were conducted to estimate the effectiveness of eHealth interventions (d+) in changing 3 HIV-preventive behaviors among MSM: unprotected anal intercourse (UAI), HIV testing, and multiple sex partnership (MSP). Moderation analyses were then conducted to examine a priori effectiveness predictors including behavioral treatment components (eg, theory use, tailoring strategy use, navigation style, and treatment duration), eHealth technology components (eg, operation mode and modality type), and intervention adherence. Results A total of 46 studies were included. The overall effect sizes at end point were small but significant for all outcomes (UAI: d+=−.21, P<.001; HIV testing: d+=.38, P<.001; MSP: d+=−.26, P=.02). The intervention effects on UAI were significantly larger when compared with preintervention groups than with concurrent groups. Greater UAI reductions were associated with the increased use of tailoring strategies, provision of feedback, and tunneling navigation in interventions with a concurrent group, whereas reductions were associated with the use of self-paced navigation in interventions with a preintervention group. Greater uptake of HIV testing was associated with longer treatment duration; computer-mediated communication; and the use of messaging, social media, or a combined technology modality. Higher intervention adherence consistently predicted larger effects on UAI and HIV testing. Conclusions This study provided empirical evidence for the effectiveness of eHealth interventions in promoting HIV-preventive behaviors among MSM. Features of treatment content and eHealth technology might best predict the intervention effects on UAI and HIV testing, respectively. Most importantly, intervention adherence tended to play an important role in achieving better effectiveness. The findings could help inform the development of efficacious interventions for HIV prevention in the future.


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