Department of International and Humanistic Nursing, Hunan Science Popularization Education Base, School of Nursing, Hengyang Medical School, University of South China, Hengyang, China.
Hunan Engineering Research Center for Early Diagnosis and Treatment of Liver Cancer, Cancer Research Institute, Hengyang Medical School, University of South China, Hengyang, China.
BMC Public Health. 2024 Sep 13;24(1):2501. doi: 10.1186/s12889-024-20025-7.
Liver cancer (LC) screening, such as AFP test and abdominal ultrasound, is an effective way to prevent LC, one of the most common cancers worldwide. Despite the proven screening benefits, screening participation among high-risk populations for LC remains low. This suggests that targeted, systematic, and effective interventions should be provided to improve knowledge and awareness related to LC screening, enhance screening intentions, and thereby promote screening behaviors. Telephone is people's main medium of daily communication and mHealth-based programs offer a potential and effective solution for promoting health behaviors. The purpose of this study is to develop and implement a mHealth (WeChat app) based intervention guided by Fogg's Behavior Model (FBM) to augment the knowledge of LC prevention among people at risk of LC and enhance their motivation for screening, and to validate its effectiveness in improving LC screening.
We propose a two-arm, single-blind randomized controlled trial with 82 at-risk individuals of LC, delivering a 6-month mHealth-based intervention program with optional health counseling. Recruitment will be through tertiary hospitals and community organizations in 4 districts in Heng Yang. In total, 82 individuals at high risk for HCC will be randomized 1:1 to intervention or control (usual care) groups. The intervention group will receive intervention, whose contents are based on the FBM model, via multiple forms of media including PowerPoint presentation, multimedia video, health information booklet and screening message, which is delivered in the WeChat Applet. Control dyads will be provided with usual health education. Outcomes will be assessed at baseline and post-intervention.
The findings of this study will provide evidence of the benefits of utilizing mHealth-based approaches in intervention development to enhance the effectiveness of screening adherence for high-risk people of LC. Further, the findings would provide reference to the potential incorporation of the targeted intervention in local community organizations.
Chinese Clinical Trial Registry (ChiCTR2400080530) Date registered: 31/1/2024.
肝癌（LC）筛查，如 AFP 检测和腹部超声，是预防全球最常见癌症之一的有效方法。尽管筛查具有明确的益处，但高危人群对 LC 筛查的参与率仍然较低。这表明，应提供有针对性、系统和有效的干预措施，以提高与 LC 筛查相关的知识和认识，增强筛查意愿，从而促进筛查行为。电话是人们日常沟通的主要媒介，基于移动健康的项目为促进健康行为提供了一种潜在且有效的解决方案。本研究旨在开发并实施一项基于 Fogg 行为模型（FBM）的移动健康（微信应用程序）干预措施，以增加 LC 高危人群对 LC 预防的知识，增强他们的筛查动机，并验证其提高 LC 筛查效果的有效性。
我们提出了一项两臂、单盲随机对照试验，纳入 82 名 LC 高危个体，实施为期 6 个月的基于移动健康的干预计划，并提供可选的健康咨询。招募将通过衡阳市 4 个区的三级医院和社区组织进行。共有 82 名 HCC 高危个体将被随机分为 1:1 的干预组或对照组（常规护理）。干预组将通过多种媒体形式，包括演示文稿、多媒体视频、健康信息手册和筛查信息，接收基于 FBM 模型的干预内容，这些内容将通过微信小程序提供。对照组将提供常规健康教育。将在基线和干预后评估结果。
本研究的结果将为利用基于移动健康的方法进行干预开发以提高 LC 高危人群的筛查依从性提供证据。此外，这些发现将为在当地社区组织中潜在地纳入有针对性的干预措施提供参考。
中国临床试验注册中心（ChiCTR2400080530），注册日期：2024 年 1 月 31 日。
