Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Formative Research

Date Submitted: Dec 24, 2023
Date Accepted: Aug 30, 2024

The final, peer-reviewed published version of this preprint can be found here:

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

Li L, Wood CE, Kostkova P

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

JMIR Form Res 2024;8:e55706

DOI: 10.2196/55706

PMID: 39447171

PMCID: 11544343

Evaluating a WeChat-based Intervention to Enhance Influenza Vaccination Knowledge, Attitude and Behavior among Chinese University Students Residing in the UK: A Controlled, Quasi-experimental, Mixed-methods Study

  • Lan Li; 
  • Caroline E. Wood; 
  • Patty Kostkova

ABSTRACT

Background:

University students, often living in close quarters and engaging in frequent social interactions, face a heightened risk of influenza morbidity. Yet, 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 WeChat-based intervention that targets Chinese Mainland university students in the UK, aiming to improve their knowledge, attitudes, and behavior towards seasonal influenza vaccination.

Methods:

A quasi-experimental, mixed methods design was used, including an intervention and comparison group with baseline and follow-up assessment. The primary outcome is the knowledge, attitudes, and behavior scores measured before and after the intervention phases. System-recorded data and users’ feedback were included in the analysis as secondary outcomes.

Results:

Our study included 596 students, of which 303 were intervention group, and 293 were 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 two 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 (20.8%) compared to the control group (18.7%). 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 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 usage.

Conclusions:

This study shows how a WeChat intervention effectively enhances knowledge, attitude, and behavior regarding SIV among Chinese students, highlighting digital health interventions' potential for vaccination behavioral 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.


 Citation

Please cite as:

Li L, Wood CE, Kostkova P

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

JMIR Form Res 2024;8:e55706

DOI: 10.2196/55706

PMID: 39447171

PMCID: 11544343

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.