影响用户参与有关生活方式风险因素的社交媒体帖子的因素:系统回顾

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Journal of Medical Internet Research Pub Date : 2024-11-22 DOI:10.2196/59742
Yan Yee Yip, Mohd Makmor-Bakry, Wei Wen Chong
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引用次数: 0

摘要

背景:非传染性疾病的高发病率和社交媒体日益增长的重要性促使医疗保健专业人员(HCPs)利用社交媒体提供旨在减少生活方式风险因素的健康信息。以往的研究表明,确定影响用户参与度指标的因素有助于医护人员在社交媒体上创建吸引人的帖子,从而有效促进健康。然而,很少有研究试图全面确定社交媒体帖子中可影响用户参与度指标的要素清单:本系统综述旨在确定影响保健医生在社交媒体上发布的旨在减少生活方式风险因素的帖子中用户参与度指标的要素:从 MEDLINE 或 OVID、Scopus、Web of Science 和 CINAHL 数据库中筛选出 2006 年 1 月至 2023 年 6 月间发表的相关英文研究。所纳入的研究都是对保健专业人员在社交媒体上发布的旨在减少 4 种主要生活方式风险因素的帖子进行了研究。此外,这些研究还概述了社交媒体帖子中影响用户参与度指标的要素。对论文的标题、摘要和全文进行了筛选和资格审查。提取数据后,进行了叙述性综合。对纳入研究的所有调查要素进行了分类。确定了社交媒体帖子中影响用户参与度指标的元素:本综述共纳入 19 项研究。调查元素被分为 9 类,共发现 35 个影响用户参与度的元素。在影响用户参与度的要素中,最主要的 3 个类别是使用支持性或情感性要素的交流、旨在改变行为的交流以及帖子的外观。相比之下,对帖子内容来源、社交媒体平台和发布时间等影响用户参与度的因素的研究少于 3 项:研究结果表明,针对行为改变的支持性或情感交流以及帖子的外观可增加帖子层面的互动,表明用户对保健医生发布的帖子反应良好。随着社交媒体的不断发展,应通过进一步研究不断评估这些因素。
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Elements Influencing User Engagement in Social Media Posts on Lifestyle Risk Factors: Systematic Review.

Background: The high prevalence of noncommunicable diseases and the growing importance of social media have prompted health care professionals (HCPs) to use social media to deliver health information aimed at reducing lifestyle risk factors. Previous studies have acknowledged that the identification of elements that influence user engagement metrics could help HCPs in creating engaging posts toward effective health promotion on social media. Nevertheless, few studies have attempted to comprehensively identify a list of elements in social media posts that could influence user engagement metrics.

Objective: This systematic review aimed to identify elements influencing user engagement metrics in social media posts by HCPs aimed to reduce lifestyle risk factors.

Methods: Relevant studies in English, published between January 2006 and June 2023 were identified from MEDLINE or OVID, Scopus, Web of Science, and CINAHL databases. Included studies were those that examined social media posts by HCPs aimed at reducing the 4 key lifestyle risk factors. Additionally, the studies also outlined elements in social media posts that influenced user engagement metrics. The titles, abstracts, and full papers were screened and reviewed for eligibility. Following data extraction, narrative synthesis was performed. All investigated elements in the included studies were categorized. The elements in social media posts that influenced user engagement metrics were identified.

Results: A total of 19 studies were included in this review. Investigated elements were grouped into 9 categories, with 35 elements found to influence user engagement. The 3 predominant categories of elements influencing user engagement were communication using supportive or emotive elements, communication aimed toward behavioral changes, and the appearance of posts. In contrast, the source of post content, social media platform, and timing of post had less than 3 studies with elements influencing user engagement.

Conclusions: Findings demonstrated that supportive or emotive communication toward behavioral changes and post appearance could increase postlevel interactions, indicating a favorable response from the users toward posts made by HCPs. As social media continues to evolve, these elements should be constantly evaluated through further research.

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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
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.
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