Journal of Medical Internet Research

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Co-Designing Priority Components of an mHealth Intervention to Enhance Follow-Up Care in Young Adult Survivors of Childhood Cancer and Health Care Providers: Qualitative Descriptive Study

Reference 47: Gender diversity within R & D teams: its impact on radicalness of innovation

Sharon H J Hou, Brianna Henry, Rachelle Drummond, Caitlin Forbes, Kyle Mendonça, Holly Wright, Iqra Rahamatullah, Perri R Tutelman, Hailey Zwicker, Mehak Stokoe, Jenny Duong, Emily K Drake, Craig Erker, Michael S Taccone, Liam Sutherland, Paul Nathan, Maria Spavor, Karen Goddard, Kathleen Reynolds, Fiona S M Schulte

JMIR Cancer 2025;11:e57834

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Social Listening for Patient Experiences With Stopping Extended-Release Buprenorphine: Content Analysis of Reddit Messages

The subreddit context-based criteria identified records that were created within the r/Sublocade subreddit, a subsection of Reddit focused on discussions of Sublocade. Dataset schema and data annotation.

Michael K Gilbert, Ashlynn R Daughton, Howard D Chilcoat, Celine M Laffont, Stephanie Strafford, Angela M DeVeaugh-Geiss

J Med Internet Res 2025;27:e71245

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Cardiac Self-Efficacy Improvement in a Digital Heart Health Program: Secondary Analysis From a Feasibility and Acceptability Pilot Study

We conducted all statistical analyses with RStudio (version 2022.07.0; R Foundation). Continuous variables were normally distributed. The first set of analyses examined relationships between baseline participant characteristics and baseline CSE Scale score.

Kimberly G Lockwood, Priya R Kulkarni, OraLee H Branch, Sarah A Graham

JMIR Form Res 2025;9:e60676

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Implementation of the Extension for Community Healthcare Outcomes Model for Hypertension Education of Frontline Health Care Workers in the Federal Capital Territory, Nigeria: Explanatory Sequential Mixed Methods Evaluation

Statistical results were prepared using SAS (version 9.4; SAS Institute) and R (version 4.0; R Foundation for Statistical Computing). FGDs were audiotaped, transcribed verbatim, and read several times. A codebook was subsequently developed for deductive coding based on the interview guide and focused on responses related to selected implementation outcomes of reach, appropriateness, effectiveness, and penetration. The codebook was developed by a single team member (ASB) and reviewed with the full team.

Abigail S Baldridge, Adaora Odukwe, Olabisi Dabiri, L Nneka Mobisson, Maria Moosa Munnee, Ayoposi Ogboye, Dorothy Naa Korkoi Aryee, Rodrick Mwale, Jonas Akpakli, Ikechukwu A Orji, Rosemary C B Okoli, Nanna R Ripiye, Dike B Ojji, Mark D Huffman, Namratha R Kandula, Lisa R Hirschhorn

J Med Internet Res 2025;27:e66351

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Can Artificial Intelligence Diagnose Knee Osteoarthritis?

Mihir Tandon, Nitin Chetla, Adarsh Mallepally, Botan Zebari, Sai Samayamanthula, Jonathan Silva, Swapna Vaja, John Chen, Matthew Cullen, Kunal Sukhija

JMIR Biomed Eng 2025;10:e67481

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

study period. c CCAPS: Counseling Center Assessment of Psychological Symptoms. d CGI-S: Clinical Global Impressions–Severity. e CGI-I: Clinical Global Impressions–Improvement. f AE: adverse event. g SAE: serious adverse event. h DERS: Difficulties in Emotion Regulation Scale. i DBT-WCCL: Dialectical Behavior Therapy Ways of Coping Checklist. j AAQ: Acceptance and Action Questionnaire. k SCS: Suicide Cognitions Scale. l OHS: Optimism Hope Scale. m PAI-BOR: Personality Assessment Inventory–Borderline Features Scale. n LSC-R:

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

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

To understand the internal structure of ACE-X for adult participants, we began by taking an exploratory approach by fitting a network model using the psychonetrics package in R (R Foundation for Statistical Computing). We fit the partial correlation network model using full information maximum likelihood estimation to handle missing values and then pruned edge weights that failed to reach statistical significance (P>.05).

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