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Statistical significance was set at P
This study utilized fully anonymized and de-identified datasets, where any personally identifiable information was removed prior to analysis. According to the U.S. Department of Health and Human Services, under the Common Rule (45 CFR 46.102(l)), research involving only de-identified data does not constitute human subjects research, as there is no intervention or interaction with living individuals and no access to identifiable private information.
J Med Internet Res 2025;27:e71211
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The P values from Wald tests of the null hypothesis of no difference between arms will also be shown.
Missing scale weights will be principally managed using multiple imputations by chained equations. Any unexpected missing engagement and retention data will be dealt with first by excluding cases with missing data from analysis and second by using multiple imputation procedures. If these approaches yield differing outcomes, both will be reported in our outcome paper.
JMIR Res Protoc 2025;14:e64405
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narrative story to provide sufficient content (BA)
Priority list of timely content for tweets such as newly published PECARN studies with icons to assist readers (AG)
Iterative operation manual with protocols and policies to align with stakeholders and unexpected obstacles (S, T, Y)
Developing approach to unexpected events and outside-of-scope requests (O, AD, AM, AU)
Outcomes
Development of analytic metrics with dashboard monitoring (Q)
Increasing and broadening followership for Twitter account (AK, AX, K, P)
JMIR Form Res 2025;9:e59481
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Statistical significance was accepted as P
All identifiable information, such as individuals’ names and personal details, was removed from the completed transcripts. NVivo (version 12; QRS International) was used to manage and store data, which were analyzed according to the principles of interpretive reflexive thematic analysis using the approach described by Braun and Clarke [38] to identify and report themes.
J Med Internet Res 2025;27:e75845
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Among the socioeconomic variables, sex stood out, with a higher probability of women belonging to the skeptical group (OR 1.699; 95% CI (1.187-2.433); P=.004). In addition, both the education and income level variables acted in a similar way—the higher the level of education and income, the lower the probability of belonging to the skeptical group, adding also, in the case of educational level, a lower probability of belonging to the hesitant group.
JMIR Infodemiology 2025;5:e69945
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