Table 4. Effect of crowdsourced intervention on secondary outcomes among Chinese MSM, 2016–2017: Generalized linear mixed models (N = 1,219).
Secondary outcomes¶ | Estimated risk ratio (95% CI)* | p-value | ICC by city |
---|---|---|---|
HIV self-testing | 1.89 (1.50, 2.38) | <0.001 | 0.028 |
HIV facility-based testing | 1.00 (0.79, 1.26) | 0.99 | 0.002 |
Condom use | 1.00 (0.86, 1.17) | 0.96 | 0.007 |
Syphilis testing | 0.92 (0.70, 1.21) | 0.55 | 0.005 |
Using Weibo to give/receive information# | 0.95 (0.77, 1.19) | 0.66 | 0.010 |
Using WeChat to give/receive information# | 1.18 (0.51, 2.75) | 0.24 | <0.001 |
Using QQ to give/receive information# | 0.88 (0.71, 1.09) | 0.25 | 0.030 |
Using gay mobile phone apps to give/receive information# | 0.95 (0.35, 2.56) | 0.62 | <0.001 |
Increased community engagement£ | 0.97 (0.44, 2.12) | 0.70 | <0.001 |
Estimate (95% CI)* | p-value | ||
Mean difference | |||
Anticipated HIV stigma | −0.027 (−0.064, 0.010) | 0.15 | 0.006 |
HIV testing social norms | −0.010 (−0.041, 0.020) | 0.51 | 0.002 |
HIV testing self-efficacy | −0.008 (−0.039, 0.023) | 0.62 | <0.001 |
*Adjusted for secular time trend as a fixed effect across clusters.
#Using WeChat, Weibo, QQ, or Blued to give or receive information about HIV testing, excluding receipt of intervention materials.
¶We included 1,219 participants who filled out at least one of the four follow-up surveys in this analysis.
£Defined as whether the cumulative community engagement score increased, by comparing to the baseline.
Abbreviations: CI, confidence interval; ICC, intraclass correlation coefficient; MSM, men who have sex with men.