Precision Prevention through Social Media: Report of Four Cases.

Yearbook of medical informatics Pub Date : 2024-08-01 Epub Date: 2025-04-08 DOI:10.1055/s-0044-1800718
Elia Gabarron, Guillermo Lopez-Campos, Shauna Davies, Taridzo Chomutare, Iris Thiele Isip Tan, Carolyn Petersen
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引用次数: 0

Abstract

Background: Precision prevention involves using biological, behavioral, socioeconomic, and epidemiological data to improve health for a particular individual or group. With almost 63% of the global population using social media, these platforms show promise to deliver tailored messaging and personalized interventions to individuals.

Objectives: To describe the personalization elements and behavior components used in a sample of precision prevention interventions delivered through social media.

Methods: To identify examples of cases, a search was done on clinicaltrials.gov, searching for 'other terms: prevention' + 'Intervention/Treatment: social media intervention' + 'study results: With results. The selected cases were described, personalization elements reported, and their adopted intervention components were coded according to the Behavior Change Wheel (BCW) framework.

Results: A total of four cases employing personalization in their interventions were identified. Three of these cases targeted women's health. The intervention period varied from two to eight months, with participant commitment ranging from active involvement on five out of seven days to monthly participation. The BCW interventions of persuasion and incentivization, were most frequently utilized, while education and coercion were used sparingly in the selected cases. Notably, none of the four cases reported the use of training, restrictions, or modeling.

Conclusions: Social media has the potential to serve as a tool for digital phenotyping and contribute to the advancement of precision prevention. Challenges include the social media platform set-up and ensuring all ethical considerations are met.

通过社交媒体进行精准预防:四例报告
背景:精确预防包括利用生物学、行为学、社会经济和流行病学数据来改善特定个人或群体的健康。全球近63%的人口使用社交媒体,这些平台有望为个人提供量身定制的信息和个性化干预。目的:描述通过社交媒体提供的精确预防干预样本中使用的个性化元素和行为成分。方法:在clinicaltrials.gov网站上搜索“其他术语:预防”+“干预/治疗:社交媒体干预”+“研究结果:有结果”,以确定病例示例。对选定的病例进行描述,报告个性化元素,并根据行为改变轮(BCW)框架对其采用的干预组件进行编码。结果:共确定了4例采用个性化干预的病例。其中三起案件的目标是妇女的健康。干预期从2个月到8个月不等,参与者的承诺从7天中的5天积极参与到每月参与不等。说服和激励的BCW干预是最常用的,而教育和强制在选定的情况下使用较少。值得注意的是,这四个案例中没有一个报告使用了培训、限制或建模。结论:社交媒体有潜力作为数字表型的工具,并有助于精确预防的进步。挑战包括建立社交媒体平台和确保满足所有道德考虑。
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来源期刊
Yearbook of medical informatics
Yearbook of medical informatics Medicine-Medicine (all)
CiteScore
4.10
自引率
0.00%
发文量
20
期刊介绍: Published by the International Medical Informatics Association, this annual publication includes the best papers in medical informatics from around the world.
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