Ma Yingjie, Zhong Xiaoni, Lin Bing, He Wei
Department of Epidemiology and Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing, People's Republic of China.
Risk Manag Healthc Policy. 2021 Nov 24;14:4739-4748. doi: 10.2147/RMHP.S337287. eCollection 2021.
Low adherence to medication is an important reason why pre-exposure prophylaxis (PrEP) is not effective at reducing the rate of new human immunodeficiency virus (HIV) infections among men who have sex with men (MSM). The intelligent reminder system (IRS) has been designed to improve user compliance, but the intention of MSM to use the IRS remains unclear. This study establishes a theoretical model to analyze the factors influencing their intention to use the IRS.
Non-probability sampling was used to recruit MSM volunteers in Chongqing and Sichuan, China, and the data were collected from MSM who had used the IRS. A model based on the unified theory of acceptance and use of technology (UTAUT) was established for the data through a structural equation model, and the perceived privacy risk was considered to explore the subjects' behavior intention.
A total of 111 volunteers who had used the IRS filled out a questionnaire. Social influence had the greatest impact on behavior intention (β = 0.360, P < 0.001), followed by performance expectancy (β = 0.331, P < 0.001), and perceived privacy risk had a negative impact on behavior intention (β = -0.151, P = 0.040). In addition, social influence had an indirect effect on behavior intention (β = 0.182, P = 0.003) and performance expectancy played a mediating role in this indirect effect.
Developments in the IRS are required to improve its usefulness and adequately explain its role when recommending it to MSM. It is also important to improve the system's ability to protect user privacy. Clinical evidence for the effectiveness of the IRS is conducive to its widespread use.
药物依从性低是暴露前预防(PrEP)在降低男男性行为者(MSM)中新发人类免疫缺陷病毒(HIV)感染率方面效果不佳的一个重要原因。智能提醒系统(IRS)旨在提高用户依从性,但MSM使用IRS的意愿仍不明确。本研究建立一个理论模型来分析影响他们使用IRS意愿的因素。
采用非概率抽样在中国重庆和四川招募MSM志愿者,并收集使用过IRS的MSM的数据。通过结构方程模型为数据建立基于技术接受与使用统一理论(UTAUT)的模型,并考虑感知隐私风险以探究受试者的行为意愿。
共有111名使用过IRS的志愿者填写了问卷。社会影响对行为意愿的影响最大(β = 0.360,P < 0.001),其次是绩效期望(β = 0.331,P < 0.001),而感知隐私风险对行为意愿有负面影响(β = -0.151,P = 0.040)。此外,社会影响对行为意愿有间接效应(β = 0.182,P = 0.003),且绩效期望在这种间接效应中起中介作用。
需要改进IRS,以提高其有用性,并在向MSM推荐时充分说明其作用。提高系统保护用户隐私的能力也很重要。IRS有效性的临床证据有利于其广泛应用。