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Resilience Coaching for Adolescent Chronic Musculoskeletal Pain: Protocol for a Pilot Randomized Controlled Trial of Promoting Resilience in Stress Management (PRISM)

Resilience Coaching for Adolescent Chronic Musculoskeletal Pain: Protocol for a Pilot Randomized Controlled Trial of Promoting Resilience in Stress Management (PRISM)

PRISM’s efficacy has been shown via improved resilience, health-related quality of life, and mental health outcomes for adolescents and young adults with serious illnesses, including cancer, type I diabetes, and cystic fibrosis [18-21]. Although CBT and other evidence-based psychological strategies have strong evidence supporting their use in the treatment of pediatric chronic pain [22], the use of a resilience framework and resilience coaching has not been formally examined among youth with CMP.

Sabrina Gmuca, Mackenzie McGill, Nellie Butler, Rui Xiao, Peter F Cronholm, Jami F Young, Tonya M Palermo, Pamela F Weiss, Abby R Rosenberg

JMIR Res Protoc 2025;14:e73385

Development and Validation of a Depression Scale for Online Assessment: Cross-Sectional Observational Study

Development and Validation of a Depression Scale for Online Assessment: Cross-Sectional Observational Study

In this analysis, the KMO value of the scale was found to be good at 0.95, and Bartlett sphericity was also statistically significant (χ2136=6961.9, P Parallel analysis supported the retention of 5 factors, as the eigenvalues from the actual data exceeded those derived from randomly generated datasets across 100 iterations. Accordingly, EFA extracted five distinct factors: 1. Social disconnection, consisting of 4 items (eigenvalue=3.27, variance explained=19.24%); 2.

Minjeong Jeon, Hae-In Park, Yoorianna Son, Ji Won Hyun, Jin Young Park

J Med Internet Res 2025;27:e70689

Comparing the Performance of Machine Learning Models and Conventional Risk Scores for Predicting Major Adverse Cardiovascular Cerebrovascular Events After Percutaneous Coronary Intervention in Patients With Acute Myocardial Infarction: Systematic Review and Meta-Analysis

Comparing the Performance of Machine Learning Models and Conventional Risk Scores for Predicting Major Adverse Cardiovascular Cerebrovascular Events After Percutaneous Coronary Intervention in Patients With Acute Myocardial Infarction: Systematic Review and Meta-Analysis

Using a random-effects model, the meta-analysis demonstrated that the ML-based models (AUROC: 0.88, 95% CI 0.86‐0.90; I²=97.5%; P To statistically confirm whether this observed performance difference was significant, a meta-regression analysis was conducted with model type (ML-based vs CRS) as the moderator.

Min-Young Yu, Hae Young Yoo, Ga In Han, Eun-Jung Kim, Youn-Jung Son

J Med Internet Res 2025;27:e76215

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

Breath-Focused Mindfulness and Compassion Training in Parent-Child Dyads: Pilot Intervention Study

Breath-Focused Mindfulness and Compassion Training in Parent-Child Dyads: Pilot Intervention Study

Another study demonstrated that Cognitively-Based Compassion Training in parents significantly reduced stress cortisol levels in their infants and young children [31]. Furthermore, many school-based mindfulness interventions have been introduced to enhance well-being in children, and such programs have grown rapidly since the pandemic [30,34,35].

Satish Jaiswal, Jason Nan, Seth Dizon, Jessica O Young, Suzanna R Purpura, James K Manchanda, Dhakshin Ramanathan, Dennis J Kuo, Jyoti Mishra

JMIR Form Res 2025;9:e69607

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

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

Predicting Drug–Side Effect Relationships From Parametric Knowledge Embedded in Biomedical BERT Models: Methodological Study With a Natural Language Processing Approach

Predicting Drug–Side Effect Relationships From Parametric Knowledge Embedded in Biomedical BERT Models: Methodological Study With a Natural Language Processing Approach

The results showed a P value of P Furthermore, the odds ratio, calculated as the ratio of the odds of an event occurring to the odds of it not occurring, was 4.822. This means that the odds of our model predicting a relationship for known relationships in FAERS were 4.822 times higher than the odds of predicting a relationship for unknown relationships.

Woohyuk Jeon, Minjae Park, Doyeon An, Wonshik Nam, Ju-Young Shin, Seunghee Lee, Suehyun Lee

JMIR Med Inform 2025;13:e67513