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Evaluating the Effectiveness of an Intelligent mHealth Intervention for Child Unintentional Injury Prevention: Protocol for a Cluster Randomized Controlled Trial

Evaluating the Effectiveness of an Intelligent mHealth Intervention for Child Unintentional Injury Prevention: Protocol for a Cluster Randomized Controlled Trial

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.

Yang Yuan, Yuying Jing, Jiyu Li, Jieyi He, David C Schwebel, Peishan Ning, Zhenzhen Rao, Li Li, Guoqing Hu

JMIR Public Health Surveill 2025;11:e76195

Impact of Ecological Momentary Assessment Participation on Short-Term Smoking Cessation: quitSTART Ecological Momentary Assessment Incentivization Randomized Trial

Impact of Ecological Momentary Assessment Participation on Short-Term Smoking Cessation: quitSTART Ecological Momentary Assessment Incentivization Randomized Trial

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.

Kara P Wiseman, Alex Budenz, Leeann Siegel, Yvonne M Prutzman

J Med Internet Res 2025;27:e67630

Lactation Consultant Access and Breastfeeding Outcomes in the United States: Cross-Sectional Analysis

Lactation Consultant Access and Breastfeeding Outcomes in the United States: Cross-Sectional Analysis

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).

James F Dockins, Heather D Pahl, David J Lingerfelt

Interact J Med Res 2025;14:e70098

The Impact of Digital Inequities on Nasal and Paranasal-Sinus Cancer Disparities in the United States: A Cohort Study

The Impact of Digital Inequities on Nasal and Paranasal-Sinus Cancer Disparities in the United States: A Cohort Study

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.

David J Fei-Zhang, Amelia Sherron Lawrence, Daniel C Chelius, Anthony M Sheyn, Jeffrey C Rastatter

JMIR Cancer 2025;11:e52627

Continuous Rural High School Educational Outreach and Lasting Impact on Health Care Career Attitudes: Qualitative Pilot Study

Continuous Rural High School Educational Outreach and Lasting Impact on Health Care Career Attitudes: Qualitative Pilot Study

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.

Rebecca Bolen, Meagan Flesch, Jerrica Dennis, Logan Shouse, Mark Payton, David Ross

JMIR Form Res 2025;9:e70505