Effectiveness of three intervention models for scaling up circumcision among general population in western China with high HIV prevalence

4^th International Conference on HIV/AIDS, STDs and STIs

October 03-05, 2016 Orlando, Florida, USA

Junjun Jiang, Hao Liang, Li Ye, Bo Zhou, Chuanyi Ning, Jiegang Huang and Bingyu Liang

Guangxi Medical University, China

Posters & Accepted Abstracts: J AIDS Clin Res

Abstract :

Male circumcision (MC) has been recognized as an effective strategy to reduce sexual transmission of HIV; however, no studies to be explored intervention models for promoting MC to prevent HIV transmission among general population in China. A cohort study was conducted among general population in three western Chinese provinces. A total of 1640 male subjects were randomly allocated to three groups to receive three intervention models (A, B, C), in which the dissemination of promotional materials and expert and volunteer led discussions were conducted in three, two and one stage interventions, respectively. Changes in knowledge of MC, willingness to accept MC, uptake of MC surgery, the cost per acceptance and HIV/ STD infection rate was analyzed at 9-months follow-up visits. For all intervention models, knowledge about MC has increased substantially after intervention (P<0.05). In model A, B and C, the changes of willingness to accept MC were 7.9%, 16.1%, and 6.2% after intervention, respectively (P<0.05). The surgery rate was higher (23.7%) among those who received model A intervention and another model was 17.1% (A) and 9.4% (C). Multivariable Cox regression analysis identified that model A or model B about twice as effective as model C, as comparing model A or model B to model C, RR=2.397 (95% CI, 1.498-3.833) and 2.194 (95% CI, 1.344-3.581), respectively. Our results show that model B (a two-stage intervention model) worked best in improving the willingness to accept MC, while model A (a three-stage intervention model) was the most effective intervention to scale up MC among the three models.

Biography :

Email: jiangjunjun@gxmu.edu.cn