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Applying Patient and Health Professional Preferences in Co-Designing a Digital Brief Intervention to Reduce the Risk of Prescription Opioid–Related Harm Among Patients With Chronic Noncancer Pain: Qualitative Analysis

Applying Patient and Health Professional Preferences in Co-Designing a Digital Brief Intervention to Reduce the Risk of Prescription Opioid–Related Harm Among Patients With Chronic Noncancer Pain: Qualitative Analysis

Participants agreed that the BI needs to be therapist guided rather than a self-management approach. It was suggested that a therapist-guided approach would provide both extra support and also accountability: “You’d want it to feel like there is that actual support” (PID_P); “I guess if it’s not being monitored then you think what’s the point?” (PID_A). Participants discussed value in health professional contact at the initial onset of the BI, in completing assessments and in the pain journey discussion.

Rachel A Elphinston, Sue Pager, Farhad Fatehi, Michele Sterling, Kelly Brown, Paul Gray, Linda Hipper, Lauren Cahill, Maisa Ziadni, Peter Worthy, Jason P Connor

JMIR Form Res 2025;9:e57212

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

Like most chronic diseases, a proactive way to mitigate the cost and adverse effects caused by asthma is to equip patients with effective self-management strategies [2]. Earlier investigations of mobile health (m Health) asthma management apps show a positive effect on asthma control, medication adherence, and self-efficacy [3,4]. m Health technology that combines personalized health management into patients’ daily routines can effectively enhance patients’ asthma self-management [4].

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

Evaluation of a Curriculum-Based Nutrition Education Intervention Protocol in Elementary Schools: Nonrandomized Feasibility Study

Evaluation of a Curriculum-Based Nutrition Education Intervention Protocol in Elementary Schools: Nonrandomized Feasibility Study

Food literacy describes the set of interrelated food and nutrition knowledge (ie, understanding food groups and the nutrients in foods), food skills (ie, ability to prepare foods and read recipes), and attributes (eg, self-efficacy and confidence) that interact with our broader socioecological environment to shape our dietary behaviors [1].

Jacqueline Marie Brown, Nicholas Rita, Beatriz Franco-Arellano, Ann LeSage, Joanne Arcand

JMIR Form Res 2025;9:e69242

Evaluating the Acceptability of a Brief Web-Based Alcohol Misuse Prevention Program Among US Military Cadets: Mixed Methods Formative Evaluation

Evaluating the Acceptability of a Brief Web-Based Alcohol Misuse Prevention Program Among US Military Cadets: Mixed Methods Formative Evaluation

Additional modules provide suggestions for how participants might change their habits and cognitions to reduce their risk for alcohol misuse and better achieve their self-reported goals (eg, alternate alcoholic drinks with water and set a drinking limit before going out). The version of e CHECKUP TO GO used in this study was adapted for use in military populations by incorporating service-specific terminology and imagery.

Emily Schmied, Lauren Hurtado, W Ken Robinson, Cynthia M Simon-Arndt, Richard Moyer III, Leslie Wilson, Mark Reed, Shannon M Blakey, Marni Kan

JMIR Form Res 2025;9:e67637

Biases in Race and Ethnicity Introduced by Filtering Electronic Health Records for “Complete Data”: Observational Clinical Data Analysis

Biases in Race and Ethnicity Introduced by Filtering Electronic Health Records for “Complete Data”: Observational Clinical Data Analysis

Figure S1 in Multimedia Appendix 1 (provided by the Ao U study) showcases the self-reported races and ethnicities of the participants who have completed the initial steps of the program, providing a diverse representation. The recruitment process spans all regions of the United States. The Ao U workbench encompasses a wealth of information gathered from EHRs, including data from Fitbit devices, survey responses, and socioeconomic factors.

Jose Miguel Acitores Cortina, Yasaman Fatapour, Kathleen LaRow Brown, Undina Gisladottir, Michael Zietz, Oliver John Bear Don't Walk IV, Danner Peter, Jacob S Berkowitz, Nadine A Friedrich, Sophia Kivelson, Aditi Kuchi, Hongyu Liu, Apoorva Srinivasan, Kevin K Tsang, Nicholas P Tatonetti

JMIR Med Inform 2025;13:e67591

Multilevel Intervention to Support Tailored and Responsive HIV Pre-Exposure Prophylaxis Care in Rural North Carolina: Protocol for a Randomized Controlled Trial

Multilevel Intervention to Support Tailored and Responsive HIV Pre-Exposure Prophylaxis Care in Rural North Carolina: Protocol for a Randomized Controlled Trial

Computer-assisted self-interview survey assessments from REDCap will be sent to participants via the Health Mpowerment app at baseline and 3 and 6 months, with a 12-month brief assessment for a subset of participants. Participants enrolled in approximately the final quarter of enrollment will only complete the 3-month survey, reflecting the shorter follow-up period for this group.

Sarah E Rutstein, Ella Ferguson, Odai Mansour, Nicole Brown, Jacob B Stocks, Anja Washington, Victoria Mobley, Shannon Dowler, Jessie Edwards, Lisa B Hightow-Weidman, Christopher B Hurt, Brian Pence, Kathryn E Muessig

JMIR Res Protoc 2025;14:e68085