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The two groups somewhat differed in child age, place of residence, caregiver’s age, and education—the control group had higher proportions of children aged 3 to 5 years (69.7% vs 57.6%), residing in urban areas (61.3% vs 57.4%), caregivers aged 30 years and older (81.2% vs 74.9%) and receiving high or vocational school education and higher (85.7% vs 80.2%) than the intervention group (P
By May 2025, 5,842 (87.2%) participants had completed the first follow-up survey.
JMIR Public Health Surveill 2025;11:e76195
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Natural Language Processing for Identification of Hospitalized People Who Use Drugs: Cohort Study
JMIR AI 2025;4:e63147
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Mean EMAs completed in the incentivized arm was 13.3 (SD 11.2, range 0‐40, average completion rate of 31.7% out of 42 total EMA prompts) and 4.7 (SD 5.8, range 0‐28, average completion rate of 11.2% out of 42 total EMA prompts) in the nonincentivized arm (P
Smoking cessation outcomes overall and by group.
a EMA: ecological momentary assessment.
J Med Internet Res 2025;27:e67630
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Correlation coefficients (r) and P values were reported to assess statistical significance.
Regression results were reported as standardized beta coefficients (β) along with 95% CIs, P values, and adjusted R² values to assess statistical significance and explanatory power. All analyses were conducted using Python programming tools (version 3.11; Python Software Foundation).
Interact J Med Res 2025;14:e70098
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Statistical significance was set as P value
A total of 8012 adult patients with primary NPSC were extracted from SEER including nasal cavity (n=1821, 22.7%), nasopharynx (n=4225, 52.7%), sinus ethmoid (n=276, 3.4%), sinus maxillary (n=1187, 14.8%), and sinus other (n=383, 4.8%). DII scores ranged from “Lowest” (n=6099, 76%) to “Highest” (n=172, 2.1%), signifying “lowest digital inequity” and “highest digital inequity,” respectively.
JMIR Cancer 2025;11:e52627
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P values, means, SEs, and sample sizes were calculated for each comparison. If a comparison between months given pre-post data was significant (P
For Q4, contingency tables were constructed to examine potential relationships between students’ likelihood of entering the health care field and each listed barrier. Contingency tables allow for the evaluation of interrelationships between categorical variables. A χ2 test was then applied to determine statistical significance.
JMIR Form Res 2025;9:e70505
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