Centre for Quality Management of Medicines, Faculty of Pharmacy, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
Centre for Clinical Epidemiology, Institute for Clinical Research, National Institutes of Health, Shah Alam, Selangor Darul Ehsan, Malaysia.
J Med Internet Res. 2024 Nov 22;26:e59742. doi: 10.2196/59742.
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.
This systematic review aimed to identify elements influencing user engagement metrics in social media posts by HCPs aimed to reduce lifestyle risk factors.
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.
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.
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.
非传染性疾病的高发率和社交媒体的重要性日益增加，促使医疗保健专业人员（HCPs）利用社交媒体传递旨在降低生活方式风险因素的健康信息。以前的研究已经认识到，确定影响用户参与度指标的因素可以帮助 HCPs 在社交媒体上创建有吸引力的帖子，以实现有效的健康促进。然而，很少有研究试图全面确定影响用户参与度指标的社交媒体帖子中的元素列表。
本系统评价旨在确定 HCPs 发布的旨在降低生活方式风险因素的社交媒体帖子中影响用户参与度指标的元素。
从 MEDLINE 或 OVID、Scopus、Web of Science 和 CINAHL 数据库中检索 2006 年 1 月至 2023 年 6 月发表的英文相关研究。纳入的研究是那些检查 HCPs 发布的旨在降低 4 个主要生活方式风险因素的社交媒体帖子的研究。此外，这些研究还概述了影响用户参与度指标的社交媒体帖子中的元素。筛选并审查标题、摘要和全文以确定其合格性。在提取数据后，进行叙述性综合。将纳入研究中的所有调查元素进行分类。确定了影响用户参与度指标的社交媒体帖子中的元素。
本综述共纳入 19 项研究。研究的元素被分为 9 类，共发现 35 个影响用户参与的元素。影响用户参与的 3 个主要元素类别是使用支持性或情感元素的沟通、针对行为改变的沟通以及帖子的外观。相比之下，帖子内容的来源、社交媒体平台和帖子发布时间只有不到 3 项研究涉及影响用户参与的元素。
研究结果表明，针对行为改变的支持性或情感沟通以及帖子的外观可以增加帖子层面的互动，表明用户对 HCPs 发布的帖子有积极的反应。随着社交媒体的不断发展，应该通过进一步的研究不断评估这些元素。
