Gabarron Elia, Lopez-Campos Guillermo, Davies Shauna, Chomutare Taridzo, Tan Iris Thiele Isip, Petersen Carolyn
Department of Education, ICT and Learning, Østfold University College, Halden, Norway.
Norwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.
Yearb Med Inform. 2024 Aug;33(1):52-57. doi: 10.1055/s-0044-1800718. Epub 2025 Apr 8.
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.
To describe the personalization elements and behavior components used in a sample of precision prevention interventions delivered through social media.
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.
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.
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.
精准预防涉及利用生物学、行为学、社会经济学和流行病学数据来改善特定个体或群体的健康状况。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措施。
描述通过社交媒体提供的精准预防干预措施样本中所使用的个性化元素和行为组成部分。
为了确定案例示例,在clinicaltrials.gov上进行了搜索,搜索词为“其他术语:预防” + “干预/治疗:社交媒体干预” + “研究结果:有结果”。对选定的案例进行了描述,报告了个性化元素,并根据行为改变轮(BCW)框架对其采用的干预组成部分进行了编码。
共确定了4个在干预中采用个性化的案例。其中3个案例针对女性健康。干预期从2个月到8个月不等,参与者的参与度从每周7天中有5天积极参与到每月参与。最常使用的BCW干预措施是劝说和激励,而在选定案例中较少使用教育和强制手段。值得注意的是,这4个案例均未报告使用培训、限制或示范手段。
社交媒体有潜力成为数字表型分析的工具,并有助于精准预防的发展。挑战包括社交媒体平台的设置以及确保满足所有伦理考量。