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Tracking Public Interest in Rare Diseases and Eosinophilic Disorders in Germany: Web Search Analysis
The results indicated a normal distribution (P=.89). A chi-square test was conducted to examine the associations between search volumes and different regions. This analytical strategy helped to explore potential demographic or health-related factors associated with higher search activity.
JMIR Infodemiology 2025;5:e69040
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We only reported differences that were statistically tested and for which P values, CIs, or effect sizes were available.
Descriptions and examples of social media–related outcomes to be extracted from studies.
a Exposure, reach, and low-, medium-, and high-level engagement were measured using a version of key performance indicators and metrics related to social media use in health promotion adapted from Neiger et al [26].
J Med Internet Res 2025;27:e68124
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Where necessary, we estimated SEs of mean differences using the exact P values provided. Failing this, we constructed SEs using available data on means, group-specific SEs or SDs, and sample sizes. The only exception to this was in cluster trials with incomplete presentation of outcome data, where we used approximate P values to construct SEs for mean differences (eg, [21]).
J Med Internet Res 2025;27:e65443
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Median follow-up times were similar between the App (11.2, IQR 9.4-12.0 months) and No-App groups (11.0, IQR 9.4-11.9 months; P=.49). Study withdrawal occurred in 3 App group and 2 No-App group participants. There were 23 participants who were prematurely terminated in the App group and 30 in the No-app group.
J Med Internet Res 2025;27:e70641
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