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聊天机器人辅助自评 (CASA) 对有感染性传播感染风险的少数族裔人群进行性健康筛查意愿的影响。

The impact of Chatbot-Assisted Self Assessment (CASA) on intentions for sexual health screening in people from minoritised ethnic groups at risk of sexually transmitted infections.

机构信息

School of Social Sciences, University of Westminster, London, UK.

Kinsey Institute, Indiana University, Bloomington, IN, USA.

出版信息

Sex Health. 2024 Jul;21. doi: 10.1071/SH24058.

DOI:10.1071/SH24058
PMID:39052859
Abstract

Background Sexually transmitted infections (STIs) present a significant global public health issue, with disparities in STI rates often observed across ethnic groups. The study investigates the impact of Chatbot-Assisted Self Assessment (CASA) on the intentions for sexual health screening within minoritised ethnic groups (MEGs) at risk of STIs as well as the subsequent use of a chatbot for booking STI screening. Methods A simulation within-subject design was utilised to evaluate the effect of CASA on intentions for STI/HIV screening, concern about STIs, and attitudes towards STI screening. Screening intentions served as the dependent variable, while demographic and behavioural factors related to STI/HIV risk were the independent variables. ANCOVA tests were conducted to measure the impact of CASA on these perceptions. Results Involving 548 participants (54% women, 66% black, average age=30years), the study found that CASA positively influenced screening intentions t (547)=-10.3, P t (544)=-4.96, P t (543)=-4.36, P Conclusion CASA increased motivations for STI screening intentions among ethnically diverse communities. The intervention's non-judgemental nature and the chatbot's ability to emulate sexual history-taking were critical in fostering an environment conducive to behavioural intention change. The study's high acceptability indicates the potential for broader application in digital health interventions. However, the limitation of not tracking actual post-intervention behaviour warrants further investigation into CASA's real-world efficacy.

摘要

背景

性传播感染(STIs)是一个重大的全球公共卫生问题,不同种族群体之间的 STI 发病率差异明显。本研究旨在调查聊天机器人辅助自我评估(CASA)对有 STI 风险的少数族裔群体(MEGs)进行性健康筛查的意愿的影响,以及随后对用于预约 STI 筛查的聊天机器人的使用情况。

方法

采用模拟within-subject 设计来评估 CASA 对 STI/HIV 筛查意愿、对 STI 的担忧和对 STI 筛查的态度的影响。筛查意愿作为因变量,而与 STI/HIV 风险相关的人口统计学和行为学因素作为自变量。采用 ANCOVA 检验来衡量 CASA 对这些认知的影响。

结果

本研究共涉及 548 名参与者(54%为女性,66%为黑人,平均年龄为 30 岁),研究发现 CASA 对筛查意愿有积极影响 t (547)=-10.3, P<0.001,t (544)=-4.96, P<0.001,t (543)=-4.36, P<0.001。

结论

CASA 增加了不同种族社区进行 STI 筛查的动机。该干预措施的非评判性和聊天机器人模拟性行为询问的能力对于培养有利于行为意愿改变的环境至关重要。研究的高接受度表明,该方法在数字健康干预中具有广泛应用的潜力。然而,由于没有跟踪实际的干预后行为,因此需要进一步研究 CASA 在现实世界中的效果。

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