Precision Prevention through Social Media: Report of Four Cases
Elia Gabarron, Guillermo Lopez-Campos, Shauna Davies, Taridzo Chomutare, Iris Thiele Isip Tan, Carolyn Petersen

TL;DR
This paper explores how social media can be used for personalized health prevention by analyzing four case studies.
Contribution
The study provides a novel analysis of personalization elements in social media-based precision prevention interventions.
Findings
Four cases using social media for precision prevention were identified, with three targeting women's health.
Persuasion and incentivization were the most common behavior change techniques used in these interventions.
None of the cases used training, restrictions, or modeling as intervention components.
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…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsDigital Mental Health Interventions · Health Policy Implementation Science · Mobile Health and mHealth Applications
