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Perspectives and Experiences With Large Language Models in Health Care: Survey Study

Perspectives and Experiences With Large Language Models in Health Care: Survey Study

Models were assessed for goodness-of-fit using the Hosmer-Lemeshow test for logistic regression and pseudo-R² metrics for ordinal regression. For the open-ended survey questions, we performed a content analysis [29]. First, the free text was checked and corrected for spelling mistakes, slang, and abbreviations. Second, a subset of the data was analyzed and used to generate an initial set of themes. The themes were generated by one researcher and verified by the project team.

Jennifer Sumner, Yuchen Wang, Si Ying Tan, Emily Hwee Hoon Chew, Alexander Wenjun Yip

J Med Internet Res 2025;27:e67383

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

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

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

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

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

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