{"title":"基于名义群体技术和层次分析法的社交媒体健康教育短视频质量评价体系(LassVQ):定性研究","authors":"Yang Hu, Yiran Yang, Wei Li, Yan Zhou, Jing Sun","doi":"10.2196/72661","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>With the increasing use of social media platforms for health communication, the quality of health educational short videos (HESVs) has become a key concern. However, no standardized framework exists to evaluate the quality of health videos on social media, highlighting the need for a comprehensive evaluation system.</p><p><strong>Objective: </strong>This study aimed to develop a valid and structured evaluation tool for assessing the quality of HESVs on social media.</p><p><strong>Methods: </strong>The initial evaluation indicators obtained from the literature review and brainstorming undertaken in the study group were provided to the nominal group reference Lasswell's 5W communication model, and 2 rounds of nominal group technique (NGT) were carried out to screen, add, revise, and adjust indicators, and reach a consensus of evaluation system. The indicators were then ranked based on their significance, as scored by the experts using the analytic hierarchy process. The content validity was assessed by experts who rated the relevance of each indicator on a 4-point Likert scale.</p><p><strong>Results: </strong>The primary indicators include communicator, communication content, communication channel, and communication effect, along with 13 secondary indicators and 34 tertiary indicators. In total, 11 experts were enrolled in the NGT, 45% (5/11) of experts had a doctoral degree, and 80% (9/11) of them were ranked as an associate professor or professor. The average values of the expert judgment coefficient and authority coefficient were 0.93 (SD 0.08) and 0.85 (SD 0.10), respectively. In round 1 of NGT, the \"communication target\" of 5 primary indicators, 7 of 20 secondary indicators, and 66 of 94 tertiary indicators did not reach a consensus, and therefore, they were not deleted and proceeded to the next round of NGT. In round 2 of NGT, 1 primary indicator, 7 secondary indicators, and 59 tertiary indicators were deleted based on the consensus criteria. Among primary indicators, communication content was found to be the most influential, accounting for 45.68%. Among secondary indicators, credibility, scientificity, availability, and social attention were the most influential indicators, with priorities of 56.67%, 24.26%, 74.62%, and 39.89% in their respective categories. Among tertiary indicators, \"become a hot search recommended by the platform\" was the most influential indicator with a weight of 0.07. The content validity of all the evaluation indicators was 0.73-1.0, and the scale-level content validity index (average) was 0.87 (SD 0.15), which was indicated as acceptable.</p><p><strong>Conclusions: </strong>The evaluation system for the quality of HESVs on social media (LassVQ; the Lasswell's Video Quality scale) was developed, and its validity was acceptable. The proposed evaluation system can be used in conjunction with qualitative methods to gain a holistic perspective on the multidimensional quality of HESVs on social media.</p>","PeriodicalId":16337,"journal":{"name":"Journal of Medical Internet Research","volume":"27 ","pages":"e72661"},"PeriodicalIF":6.0000,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12445618/pdf/","citationCount":"0","resultStr":"{\"title\":\"Developing an Evaluation System for Quality of Health Educational Short Videos on Social Media (LassVQ) Using Nominal Group Technique and Analytic Hierarchy Process: Qualitative Study.\",\"authors\":\"Yang Hu, Yiran Yang, Wei Li, Yan Zhou, Jing Sun\",\"doi\":\"10.2196/72661\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>With the increasing use of social media platforms for health communication, the quality of health educational short videos (HESVs) has become a key concern. However, no standardized framework exists to evaluate the quality of health videos on social media, highlighting the need for a comprehensive evaluation system.</p><p><strong>Objective: </strong>This study aimed to develop a valid and structured evaluation tool for assessing the quality of HESVs on social media.</p><p><strong>Methods: </strong>The initial evaluation indicators obtained from the literature review and brainstorming undertaken in the study group were provided to the nominal group reference Lasswell's 5W communication model, and 2 rounds of nominal group technique (NGT) were carried out to screen, add, revise, and adjust indicators, and reach a consensus of evaluation system. The indicators were then ranked based on their significance, as scored by the experts using the analytic hierarchy process. The content validity was assessed by experts who rated the relevance of each indicator on a 4-point Likert scale.</p><p><strong>Results: </strong>The primary indicators include communicator, communication content, communication channel, and communication effect, along with 13 secondary indicators and 34 tertiary indicators. In total, 11 experts were enrolled in the NGT, 45% (5/11) of experts had a doctoral degree, and 80% (9/11) of them were ranked as an associate professor or professor. The average values of the expert judgment coefficient and authority coefficient were 0.93 (SD 0.08) and 0.85 (SD 0.10), respectively. In round 1 of NGT, the \\\"communication target\\\" of 5 primary indicators, 7 of 20 secondary indicators, and 66 of 94 tertiary indicators did not reach a consensus, and therefore, they were not deleted and proceeded to the next round of NGT. In round 2 of NGT, 1 primary indicator, 7 secondary indicators, and 59 tertiary indicators were deleted based on the consensus criteria. Among primary indicators, communication content was found to be the most influential, accounting for 45.68%. Among secondary indicators, credibility, scientificity, availability, and social attention were the most influential indicators, with priorities of 56.67%, 24.26%, 74.62%, and 39.89% in their respective categories. Among tertiary indicators, \\\"become a hot search recommended by the platform\\\" was the most influential indicator with a weight of 0.07. The content validity of all the evaluation indicators was 0.73-1.0, and the scale-level content validity index (average) was 0.87 (SD 0.15), which was indicated as acceptable.</p><p><strong>Conclusions: </strong>The evaluation system for the quality of HESVs on social media (LassVQ; the Lasswell's Video Quality scale) was developed, and its validity was acceptable. The proposed evaluation system can be used in conjunction with qualitative methods to gain a holistic perspective on the multidimensional quality of HESVs on social media.</p>\",\"PeriodicalId\":16337,\"journal\":{\"name\":\"Journal of Medical Internet Research\",\"volume\":\"27 \",\"pages\":\"e72661\"},\"PeriodicalIF\":6.0000,\"publicationDate\":\"2025-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12445618/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Medical Internet Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2196/72661\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Internet Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2196/72661","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
摘要
背景:随着社交媒体平台在健康传播中的应用越来越广泛,健康教育短视频的质量已成为人们关注的焦点。然而,目前还没有标准化的框架来评估社交媒体上健康视频的质量,这凸显了建立一个全面评估体系的必要性。目的:本研究旨在开发一个有效的、结构化的评估工具来评估社交媒体上hesv的质量。方法:将研究组通过文献综述和头脑风暴获得的初步评价指标提供给标称群体参考Lasswell的5W沟通模型,并进行2轮标称群体技术(NGT)筛选、添加、修改、调整指标,达成评价体系共识。然后根据这些指标的重要性进行排名,由专家使用层次分析法进行评分。内容效度由专家评估,他们在4点李克特量表上评估每个指标的相关性。结果:一级指标包括传播者、传播内容、传播渠道、传播效果,二级指标13项,三级指标34项。NGT共有11位专家入选,45%(5/11)的专家具有博士学位,80%(9/11)的专家被评为副教授或教授。专家判断系数和权威系数的平均值分别为0.93 (SD 0.08)和0.85 (SD 0.10)。在第一轮NGT中,5个一级指标、20个二级指标中的7个、94个三级指标中的66个的“沟通目标”没有达成共识,因此没有被删除,继续进行下一轮NGT。在第二轮NGT中,根据共识标准删除了1个一级指标、7个二级指标和59个三级指标。在主要指标中,传播内容的影响力最大,占45.68%。二级指标中,可信度、科学性、可获得性和社会关注度是影响最大的指标,其优先级分别为56.67%、24.26%、74.62%和39.89%。在三级指标中,“成为平台推荐热搜”是影响力最大的指标,权重为0.07。各评价指标的内容效度为0.73-1.0,量表级内容效度指数(平均)为0.87(标准差0.15),可接受。结论:建立了社交媒体hesv质量评价体系(LassVQ; The laswell’s Video quality scale),其效度可接受。所提出的评估体系可以与定性方法结合使用,以全面了解社交媒体上hesv的多维质量。
Developing an Evaluation System for Quality of Health Educational Short Videos on Social Media (LassVQ) Using Nominal Group Technique and Analytic Hierarchy Process: Qualitative Study.
Background: With the increasing use of social media platforms for health communication, the quality of health educational short videos (HESVs) has become a key concern. However, no standardized framework exists to evaluate the quality of health videos on social media, highlighting the need for a comprehensive evaluation system.
Objective: This study aimed to develop a valid and structured evaluation tool for assessing the quality of HESVs on social media.
Methods: The initial evaluation indicators obtained from the literature review and brainstorming undertaken in the study group were provided to the nominal group reference Lasswell's 5W communication model, and 2 rounds of nominal group technique (NGT) were carried out to screen, add, revise, and adjust indicators, and reach a consensus of evaluation system. The indicators were then ranked based on their significance, as scored by the experts using the analytic hierarchy process. The content validity was assessed by experts who rated the relevance of each indicator on a 4-point Likert scale.
Results: The primary indicators include communicator, communication content, communication channel, and communication effect, along with 13 secondary indicators and 34 tertiary indicators. In total, 11 experts were enrolled in the NGT, 45% (5/11) of experts had a doctoral degree, and 80% (9/11) of them were ranked as an associate professor or professor. The average values of the expert judgment coefficient and authority coefficient were 0.93 (SD 0.08) and 0.85 (SD 0.10), respectively. In round 1 of NGT, the "communication target" of 5 primary indicators, 7 of 20 secondary indicators, and 66 of 94 tertiary indicators did not reach a consensus, and therefore, they were not deleted and proceeded to the next round of NGT. In round 2 of NGT, 1 primary indicator, 7 secondary indicators, and 59 tertiary indicators were deleted based on the consensus criteria. Among primary indicators, communication content was found to be the most influential, accounting for 45.68%. Among secondary indicators, credibility, scientificity, availability, and social attention were the most influential indicators, with priorities of 56.67%, 24.26%, 74.62%, and 39.89% in their respective categories. Among tertiary indicators, "become a hot search recommended by the platform" was the most influential indicator with a weight of 0.07. The content validity of all the evaluation indicators was 0.73-1.0, and the scale-level content validity index (average) was 0.87 (SD 0.15), which was indicated as acceptable.
Conclusions: The evaluation system for the quality of HESVs on social media (LassVQ; the Lasswell's Video Quality scale) was developed, and its validity was acceptable. The proposed evaluation system can be used in conjunction with qualitative methods to gain a holistic perspective on the multidimensional quality of HESVs on social media.
期刊介绍:
The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades.
As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor.
Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.