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Viewpoint on the Intersection Among Health Information, Misinformation, and Generative AI Technologies

Viewpoint on the Intersection Among Health Information, Misinformation, and Generative AI Technologies

results(https://www.linkedin.com/pulse/information-ecosystem-disrupting-health-ex-3-search-results-d-purnat-tny8e (https://www.linkedin.com/pulse/what-some-ways-generative-ai-could-used-public-health-tina-d-purnat)

António Bandeira, Luis Henrique Gonçalves, Felix Holl, Juliet Ugbedeojo Shaibu, Mariana Laranjo Gonçalves, Ronan Payinda, Sagun Paudel, Alessandro Berionni, Young WFPHA, Tina D Purnat, Tim Mackey

JMIR Infodemiology 2025;5:e69474


Testing the Efficacy of a Web-Based Intervention for Loss and Bereavement in Later Life (AgE-health Study): Results From a Randomized Controlled Trial

Testing the Efficacy of a Web-Based Intervention for Loss and Bereavement in Later Life (AgE-health Study): Results From a Randomized Controlled Trial

On the basis of previous comparable trials using the PG-13 as primary outcome [26,28,52], a moderate effect size of Cohen d=0.5 was considered to power the trial. Given a significance level of α=.05 and a statistical power of 1–β=.8, the optimal sample size to detect a moderate between-group effect at 4-month follow-up was calculated to be 128 (n=64, 50% per group). Considering a dropout rate of 25% based on previous trials [53,54], an initial sample size of 170 participants at baseline was aimed for.

Franziska D Welzel, Alexander Pabst, Janine Stein, Franziska Bleck, Steffi G Riedel-Heller, Margrit Löbner

J Med Internet Res 2025;27:e68662