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Evaluating Effectiveness of mHealth Apps for Older Adults With Diabetes: Meta-Analysis of Randomized Controlled Trials

Evaluating Effectiveness of mHealth Apps for Older Adults With Diabetes: Meta-Analysis of Randomized Controlled Trials

With the continuous advances of technology, the use of mobile health (m Health) tools to facilitate the attainment of health objectives (ie, continuous glucose monitoring and medication adherence) is increasing and holds the potential to revolutionize health care delivery worldwide [11-13], see also the study by Wilson et al [14].

Renato Ferreira Leitao Azevedo, Michael Varzino, Erika Steinman, Wendy A Rogers

J Med Internet Res 2025;27:e65855

Perceptions of Stigma Among Patients With Hepatitis B in Germany: Cross-Sectional Survey

Perceptions of Stigma Among Patients With Hepatitis B in Germany: Cross-Sectional Survey

The required sample size was calculated using G*Power, a free tool to compute statistical power analyses developed by researchers from the Heinrich Heine University Dusseldorf [32]. Given an effect size Cohen f2 of 0.15, an α error probability of .05, and 11 predictors, 178 participants would result in a power of 0.95. Data from the paper-based questionnaires were typed manually into an excel sheet. Data entry was double checked by a second researcher for correctness.

Bettina M Zimmermann, Theresa Willem, Michael Rost, Nina Matthes, Alena Buyx

JMIR Form Res 2025;9:e66379