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Three personas are presented in the second iteration, representing three common patient scenarios, John remains as per iteration one, with Mary and Adam added as new personas.
Mary differs from John as she has responded to nonpharmacological interventions and her parents agree that she does not require medication to manage her ADHD.
JMIR Form Res 2025;9:e53617
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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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adjacent category of those who reported last testing >12 months ago.
b Not applicable.
c Person-years calculated as (1) mid-year estimates for those presumed to have seroconverted in the last year (12-month incidence rate), (2) full-year estimates for people who did not seroconvert (12-month incidence rate), (3) quarter-year estimates for those presumed to have seroconverted in the last 6 months (6-month incidence rate), and (4) half year estimates for those who did not seroconvert (6-month incidence rate).
d Mid-P
JMIR Public Health Surveill 2025;11:e66921
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We will report P values up to 3 decimal places and report P values less than .001 as
We expect a small amount of missing data due to noncompliance and loss to follow-up. As noted above, participants who withdraw will be asked for a reason for withdrawal to determine whether the missing information is random. Participants withdrawing prior to the procedure will be asked whether they intend to proceed to ICA.
JMIR Res Protoc 2025;14:e71726
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There were no significant differences in burnout level (t(283)=.191, P=.85) between the current survey and the previously conducted benchmark survey [18]. Of those who reported burnout, there is a considerable reduction in the number of individuals who reported that the EHR contributes to burnout all or almost all the time (t(63)=−1.255, P=.21).
JMIR Hum Factors 2025;12:e65656
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