Powell Leigh, Nour Radwa, Zidoun Youness, Kaladhara Sreelekshmi, Al Suwaidi Hanan, Zary Nabil
Institute for Excellence in Health Professions Education, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.
College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.
JMIR Res Protoc. 2022 May 30;11(5):e38034. doi: 10.2196/38034.
A barrier to successful COVID-19 vaccine campaigns is the ongoing misinformation pandemic, or infodemic, which is contributing to vaccine hesitancy. Web-based population health interventions have been shown to impact health behaviors positively. For web-based interventions to be successful, they must use effective learning design strategies that seek to address known issues with learner engagement and retention. To know if an intervention successfully addresses vaccine hesitancy, there must be some embedded measure for comparing learners preintervention and postintervention.
This protocol aims to describe a study on the effectiveness of a web-based population health intervention that is designed to address vaccine misinformation and hesitancy. The study will examine learner analytics to understand what aspects of the learning design for the intervention were effective and implement a validated instrument-the Adult Vaccine Hesitancy Scale-to measure if any changes in vaccine hesitancy were observed preintervention and postintervention.
We developed a fully web-based population health intervention to help learners identify misinformation concerning COVID-19 and share the science behind vaccinations. Intervention development involves using a design-based research approach to output more effective interventions in which data can be analyzed to improve future health interventions. The study will use a quasi-experimental design in which a pre-post survey will be provided and compared statistically. Learning analytics will also be generated based on the engagement and retention data collected through the intervention to understand what aspects of our learning design are effective.
The web-based intervention was released to the public in September 2021, and data collection is ongoing. No external marketing or advertising has been done to market the course, making our current population of 486 participants our pilot study population. An analysis of this initial population will enable the revision of the intervention, which will then be marketed to a broader audience. Study outcomes are expected to be published by August 2022. We anticipate the release of the revised intervention by May 2022.
Disseminating accurate information to the public during pandemic situations is vital to contributing to positive health outcomes, such as those among people getting vaccinated. Web-based interventions are valuable, as they can reach people anytime and anywhere. However, web-based interventions must use sound learning design to help incentivize engagement and motivate learners to learn and must provide a means of evaluating the intervention to determine its impact. Our study will examine both the learning design and the effectiveness of the intervention by using the analytics collected within the intervention and a statistical analysis of a validated instrument to determine if learners had a change in vaccine hesitancy as a result of what they learned.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/38034.
新冠疫苗接种运动取得成功的一个障碍是持续存在的错误信息大流行,即信息疫情,这导致了疫苗犹豫情绪。基于网络的人群健康干预措施已被证明能对健康行为产生积极影响。要使基于网络的干预措施取得成功,就必须采用有效的学习设计策略,以解决学习者参与度和留存率方面已知的问题。为了确定一项干预措施是否成功解决了疫苗犹豫问题,必须有一些嵌入式措施来比较学习者干预前和干预后的情况。
本方案旨在描述一项关于基于网络的人群健康干预措施有效性的研究,该干预措施旨在解决疫苗错误信息和犹豫问题。该研究将检查学习者分析数据,以了解干预措施学习设计的哪些方面是有效的,并使用经过验证的工具——成人疫苗犹豫量表,来衡量干预前和干预后疫苗犹豫情况是否有任何变化。
我们开发了一项完全基于网络的人群健康干预措施,以帮助学习者识别有关新冠病毒的错误信息,并分享疫苗接种背后的科学知识。干预措施的开发采用基于设计的研究方法,以产出更有效的干预措施,对其中的数据进行分析,以改进未来的健康干预措施。该研究将采用准实验设计,提供前后测调查并进行统计比较。还将根据通过干预收集的参与度和留存率数据生成学习分析数据,以了解我们学习设计的哪些方面是有效的。
基于网络的干预措施于2021年9月向公众发布,数据收集工作正在进行中。尚未进行任何外部营销或广告宣传来推广该课程,因此我们目前的486名参与者群体就是我们的试点研究对象。对这一初始群体的分析将有助于对干预措施进行修订,然后将其推广给更广泛的受众。预计研究结果将于2022年8月公布。我们预计修订后的干预措施将于2022年5月发布。
在疫情期间向公众传播准确信息对于促成积极的健康结果至关重要,比如人们接种疫苗的情况。基于网络的干预措施很有价值,因为它们可以随时随地触达人们。然而,基于网络的干预措施必须采用合理的学习设计,以帮助激发参与度并激励学习者学习,并且必须提供评估干预措施以确定其影响的方法。我们的研究将通过使用干预措施中收集的分析数据以及对经过验证的工具进行统计分析,来检查学习设计和干预措施的有效性,以确定学习者是否因所学内容而在疫苗犹豫方面有所改变。
国际注册报告识别号(IRRID):DERR1-10.2196/38034。