评估基于微信的干预措施,以提高留英中国大学生的流感疫苗接种知识、态度和行为:受控、准实验、混合方法研究。

IF 2 Q3 HEALTH CARE SCIENCES & SERVICES JMIR Formative Research Pub Date : 2024-10-24 DOI:10.2196/55706
Lan Li, Caroline E Wood, Patty Kostkova
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引用次数: 0

摘要

背景:大学生通常住得很近,社交活动频繁,他们面临着更高的流感发病风险。然而,由于对疫苗接种的认识有限和接种途径不足,这一群体,尤其是中国学生的疫苗接种率一直很低:本研究探讨了以中国大陆在英大学生为对象、基于微信的共同创作干预措施的有效性,旨在改善他们对季节性流感疫苗接种的知识、态度和行为(KAB):采用准实验混合方法设计,包括干预组和对比组,以及基线和后续自我报告调查。研究时间为 2022 年 12 月 19 日至 2023 年 1 月 16 日。主要结果是 KAB 分数,在干预阶段前后进行测量。系统记录的数据和用户反馈作为次要结果纳入分析。我们采用了一系列假设检验方法来检验主要结果,并使用路径分析来探索其中的关系:我们的研究包括 596 名学生,其中干预组 303 人(50.8%),对照组 293 人(49.2%)。随着时间的推移,干预组在知识、态度和预期行为方面的得分都有明显提高,而对照组在预期行为方面的得分仅略有增加。在比较两组之间的变化时,干预组的知识和态度得分与对照组相比有显著差异,而预期行为得分则没有显著差异。干预后,干预组的实际接种率(63/303,20.8%)略高于对照组(54/293,18.4%)。路径分析发现,干预对知识有显著的直接影响,但对态度没有影响;知识对态度有很大影响,知识和态度都对预期行为有显著影响;预期行为和实际行为之间有很强的相关性。在干预组中,参与者对内容及其使用表示了高度的满意和积极的评价:本研究展示了微信干预如何有效改善中国学生接种季节性流感疫苗相关的KAB,凸显了社交媒体干预在推动疫苗接种行为改变方面的潜力。该研究为更广泛的数字健康干预效果研究做出了贡献,并为针对不同的健康环境和人群定制类似的干预措施奠定了基础。
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Evaluating a WeChat-Based Intervention to Enhance Influenza Vaccination Knowledge, Attitude, and Behavior Among Chinese University Students Residing in the United Kingdom: Controlled, Quasi-Experimental, Mixed Methods Study.

Background: University students, who often live in close quarters and engage in frequent social interaction, face a heightened risk of influenza morbidity. Still, vaccination rates among this group, particularly Chinese students, remain consistently low due to limited awareness and insufficient access to vaccinations.

Objective: This study examines the effectiveness of a cocreated WeChat-based intervention that targets mainland Chinese university students in the United Kingdom, aiming to improve their knowledge, attitude, and behavior (KAB) toward seasonal influenza vaccination.

Methods: A quasi-experimental mixed methods design was used, incorporating an intervention and comparison group, with baseline and follow-up self-reported surveys. The study was conducted from December 19, 2022, to January 16, 2023. The primary outcome is the KAB score, which was measured before and after the intervention phases. System-recorded data and user feedback were included in the analysis as secondary outcomes. A series of hypothesis testing methods were applied to test the primary outcomes, and path analysis was used to explore the relationships.

Results: Our study included 596 students, of which 303 (50.8%) were in the intervention group and 293 (49.2%) were in the control group. The intervention group showed significant improvements in knowledge, attitude, and intended behavior scores over time, whereas the control group had only a slight increase in intended behavior scores. When comparing changes between the 2 groups, the intervention group displayed significant differences in knowledge and attitude scores compared to the control group, while intended behavior scores did not significantly differ. After the intervention, the actual vaccination rate was slightly higher in the intervention group (63/303, 20.8%) compared to the control group (54/293, 18.4%). Path analysis found that the intervention had a significant direct impact on knowledge but not on attitudes; knowledge strongly influenced attitudes, and both knowledge and attitudes significantly influenced intended behavior; and there was a strong correlation between intended and actual behavior. In the intervention group, participants expressed a high level of satisfaction and positive review of the content and its use.

Conclusions: This study demonstrates how a WeChat intervention effectively improves KAB related to seasonal influenza vaccination among Chinese students, highlighting the potential of social media interventions to drive vaccination behavior change. It contributes to the broader research on digital health intervention effectiveness and lays the groundwork for tailoring similar interventions to different health contexts and populations.

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来源期刊
JMIR Formative Research
JMIR Formative Research Medicine-Medicine (miscellaneous)
CiteScore
2.70
自引率
9.10%
发文量
579
审稿时长
12 weeks
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