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Mobile Health App for Adolescent Asthma Self-Management: Development and Usability Study of the Pulmonary Education and Knowledge Mobile Asthma Action Plan

Mobile Health App for Adolescent Asthma Self-Management: Development and Usability Study of the Pulmonary Education and Knowledge Mobile Asthma Action Plan

The options are (1) “I’m feeling Great,” (2) “I feel OK,” and (3) “I feel horrible.” Afterward, as shown in Figure 4 B, the patient is asked to select how they prefer to determine their asthma zone, either Peak Flow or asthma symptoms. Figure 4 C depicts the “Record your Peak Flow” screen, in which the patient can swipe on the blue bar to change the Peak Flow value.

Xing He, Jiang Bian, Ariel Berlinski, Yi Guo, A Larry Simmons, S Alexandra Marshall, Carolyn J Greene, Rita Hudson Brown, Jessica Turner, Tamara T Perry

JMIR Form Res 2025;9:e64212

The Comprehensive Adaptive Multisite Prevention of University Student Suicide Trial: Protocol for a Randomized Controlled Trial

The Comprehensive Adaptive Multisite Prevention of University Student Suicide Trial: Protocol for a Randomized Controlled Trial

This calculation is based on the method outlined by Scott et al [39] and Oetting and Levy [40] and assumes equal marginal variance of outcomes across the ATSs, a normally distributed mean outcome, a type-I error rate of 2.5% where we adjust the standard 0.05 level by a factor of 2 for the 2 primary outcomes of STB, a standardized effect size of 0.50, and no more than 50% attrition by stage 2.

Kyla Blalock, Jacqueline Pistorello, Shireen L Rizvi, John R Seeley, Francesca Kassing, James Sinclair, Linda A Oshin, Robert J Gallop, Cassidy M Fry, Ted Snyderman, David A Jobes, Jennifer Crumlish, Hannah R Krall, Susan Stadelman, Filiz Gözenman-Sapin, Kate Davies, David Steele, David B Goldston, Scott N Compton

JMIR Res Protoc 2025;14:e68441

Correction: Public Disclosure of Results From Artificial Intelligence/Machine Learning Research in Health Care: Comprehensive Analysis of ClinicalTrials.gov, PubMed, and Scopus Data (2010-2023)

Correction: Public Disclosure of Results From Artificial Intelligence/Machine Learning Research in Health Care: Comprehensive Analysis of ClinicalTrials.gov, PubMed, and Scopus Data (2010-2023)

In “Public Disclosure of Results From Artificial Intelligence/Machine Learning Research in Health Care: Comprehensive Analysis of Clinical Trials.gov, Pub Med, and Scopus Data (2010-2023)” (J Med Internet Res 2025;27:e60148), the authors made the following changes.

Shoko Maru, Ryohei Kuwatsuru, Michael D Matthias, Ross J Simpson Jr

J Med Internet Res 2025;27:e75554

Trust, Anxious Attachment, and Conversational AI Adoption Intentions in Digital Counseling: A Preliminary Cross-Sectional Questionnaire Study

Trust, Anxious Attachment, and Conversational AI Adoption Intentions in Digital Counseling: A Preliminary Cross-Sectional Questionnaire Study

This scale contains 2 subscales with 6 items assessing anxious attachment (eg, “I often worry that other people don’t really love me,” Cronbach α=0.91) and the other 12 items measuring avoidant attachment (eg, “I find it difficult to allow myself to depend on others,” Cronbach α=0.88).

Xiaoli Wu, Kongmeng Liew, Martin J Dorahy

JMIR AI 2025;4:e68960

Validation of an Adaptive Assessment of Executive Functions (Adaptive Cognitive Evaluation-Explorer): Longitudinal and Cross-Sectional Analyses of Cognitive Task Performance

Validation of an Adaptive Assessment of Executive Functions (Adaptive Cognitive Evaluation-Explorer): Longitudinal and Cross-Sectional Analyses of Cognitive Task Performance

Panel (A) shows the Basic Response Time task, (B) shows the spatial span task (forward span trial), (C) shows the Flanker task (congruent condition), (D) shows the continuous performance task (no-go trial), (E) shows the Stroop task (incongruent condition), (F) shows the Boxed task (feature 4 condition), (G) shows the Compass task (neutral condition), (H) shows the Task Switch task (incongruent condition), and (I) shows the Tap and Trace task (dual task condition).

Kristine D O'Laughlin, Britte Haugan Cheng, Joshua J Volponi, John David A Lorentz, Sophia A Obregon, Jessica Wise Younger, Adam Gazzaley, Melina R Uncapher, Joaquin A Anguera

J Med Internet Res 2025;27:e60041

Text Message Intervention to Facilitate Secure Storage and Disposal of Prescription Opioids to Prevent Diversion and Misuse: Protocol for a Randomized Controlled Trial

Text Message Intervention to Facilitate Secure Storage and Disposal of Prescription Opioids to Prevent Diversion and Misuse: Protocol for a Randomized Controlled Trial

In lieu of a signature, participants will be informed that they should “click ‘I agree to participate’ at the end of the consent form” to provide their authorization to participate in the study.

Kathleen L Egan, Melissa J Cox, Donald W Helme, J Todd Jackson, Alice R Richman

JMIR Res Protoc 2025;14:e60332