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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

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Facilitated Telemedicine as a Patient-Centered, Sociotechnical Intervention to Integrate Hepatitis C Treatment Into Opioid Treatment Programs and Overcome the Digital Divide Among Underserved Populations: Qualitative Study

Andrew H Talal, Arpan Dharia, Marianthi Markatou, Lawrence S Brown Jr, Kenneth E Bossert, Zakiya Grubbs, Raktim Mukhopadhyay, Boatemaa Ntiri-Reid, Elisabeth J Houtsmuller

JMIR Public Health Surveill 2025;11:e68854

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At-Home Evaluation of Both Wearable and Touchless Digital Health Technologies for Measuring Nocturnal Scratching in Atopic Dermatitis: Analytical Validation Study

Nominal P values were reported. ICCs were used to compare night-level metrics between each DHT and human raters.

Stefan Avey, Mark Morris, Davit Sargsyan, Molly V Lucas, Andrea O'Brisky, Kenneth Mosca, Andrew Elias, Nicholas Fountoulakis, Mehdi Boukhechba, Xuen Hoong Kok, Saiyam Jain, Mehrnoosh Oghbaie, Nikolay V Manyakov, Miao Wang, Zuleima Aguilar, Lynn Yieh

J Med Internet Res 2025;27:e72216

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Facilitators and Challenges to Adoption of a Digital Health Tool for Opioid Use Disorder Treatment in Primary Care: Mixed Methods Study

A Bonferroni correction was applied to all P values by multiplying each P value by 4, the number of tests conducted, to correct for multiple comparisons; a P value less than .05 was considered statistically significant after correction. Timelines of OARS use were also described for MOUD providers and case managers. All analyses were conducted in R (version 4.2.1; R Foundation for Statistical Computing). All qualitative data were analyzed using a coding reliability thematic analysis approach [16].

Omar Nieto, Allison D Rosen, Mariah M Kalmin, Li Li, Steven J Shoptaw, Steven P Jenkins, Zahra Zarei Ardestani, Bengisu Tulu

J Med Internet Res 2025;27:e69953

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Association of Perceived Xingfu With Health-Related and Socioeconomic Factors Among Hong Kong Chinese Adults: Cross-Sectional Study Using a Novel Single-Item Tool

All P values for Pearson correlation coefficients b PSS-4: Perceived Stress Scale-4. c ACC: adversity coping capability. d PHQ-4: Patient Health Questionnaire-4. e Not applicable. Figure 1 shows the distribution of perceived xingfu and happiness scores. As both perceived xingfu and happiness peaked at scores of 7 (22%) and 8 (23%); therefore, perceived xingfu ≥7 was classified as high perceived xingfu in the logistic regression model.

Katherine Y P Sze, Sai Yin Ho, Agnes Yuen Kwan Lai, Jing Jia, Heng Xu, Shirley Man Man Sit, Tai Hing Lam, Man Ping Wang

JMIR Form Res 2025;9:e73350

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Measuring Stress, Socialization, and Smoking Behaviors Among Lesbian, Gay, Bisexual, Transgender, Queer, and Other Sexual and Gender Minority Adolescents (the Puff Break Research Study): Protocol for a Ecological Momentary Assessment Study

Linda Salgin, Daniel Kellogg, Jonathan Helm, Aaron J Blashill, Mark Myers, Hee-Jin Jun, Andy C Lim, Jerel P Calzo

JMIR Res Protoc 2025;14:e71927

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Coaching Patients to Understand and Use Patient-Reported Outcome Data: Intervention Design and Evaluation

Compared with nonattendees, patients reporting higher education and greater health literacy were more likely to attend a coaching session when invited (P The postsession self-assessment of learning was completed by 89 coaching attendees (49% of those invited to respond). Approximately, two-thirds of respondents reported greater understanding of their current and projected symptoms.

Martha Burla, Brocha Z Stern, Andrew BL Berry, Sarah Pila, Patricia D Franklin

JMIR Form Res 2025;9:e65931

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Enhancing Diagnostic Accuracy of Ophthalmological Conditions With Complex Prompts in GPT-4: Comparative Analysis of Global and Low- and Middle-Income Country (LMIC)–Specific Pathologies

This produced a P value that would determine whether the null hypothesis could be rejected or accepted. The simple prompt achieved sensitivity of 1.00 for 5 of the 10 conditions: cataract, glaucoma, diabetic retinopathy, myopia and retinopathy of prematurity. It also achieved sensitivity of 0.96 for congenital glaucoma. The simple prompt struggled to identify the remainder of the conditions, including trachoma (0.00), presbyopia (0.00), congenital cataract (0.06), and retinoblastoma (0.02).

Shona Alex Tapiwa M'gadzah, Andrew O'Malley

JMIR Form Res 2025;9:e64986

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