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Large Language Model–Assisted Risk-of-Bias Assessment in Randomized Controlled Trials Using the Revised Risk-of-Bias Tool: Usability Study

Large Language Model–Assisted Risk-of-Bias Assessment in Randomized Controlled Trials Using the Revised Risk-of-Bias Tool: Usability Study

All reviewers completed a week-long training on systematic reviews to ensure a consistent understanding of Ro B2. Three reviewers (WZ, DX, and CB) initially conducted independent judgments of 46 RCTs using standardized criteria, recording the time taken for the judgments. All results were resolved through consensus. We randomly selected 3 evaluation results from each category to construct the prompt, which were used as benchmarks to assess the accuracy of the answers generated by the LLMs.

Jiajie Huang, Honghao Lai, Weilong Zhao, Danni Xia, Chunyang Bai, Mingyao Sun, Jianing Liu, Jiayi Liu, Bei Pan, Jinhui Tian, Long Ge

J Med Internet Res 2025;27:e70450

Clinical Nurse Educators’ Job Satisfaction and Turnover Intentions: Protocol for a Scoping Review

Clinical Nurse Educators’ Job Satisfaction and Turnover Intentions: Protocol for a Scoping Review

Studies that include the long-term setting and nonclinical areas will be excluded. This review will consider all studies, published between January 2013 and August 2024, which use a range of research methodologies, including quantitative, qualitative, and mixed methods study designs. Gray literature, reviews, editorial pieces, and opinion papers will also be evaluated for potential inclusion.

Kateryna Metersky, Emily Richard, Yasin Yasin, Areej Al-Hamad, Valerie Tan

JMIR Res Protoc 2025;14:e66712

Continuous Glucose Monitoring in Primary Care: Multidisciplinary Pilot Implementation Study

Continuous Glucose Monitoring in Primary Care: Multidisciplinary Pilot Implementation Study

Future studies could evaluate whether the conversion of patients to personal CGM will facilitate the long-term use of CGM technology. CGM is a powerful tool in modern diabetes management, yet access to endocrinologists with specialized training in use of this technology is curtailed by the limited supply of endocrinologists [18]. PCPs, who see most patients with type 2 diabetes [19], are similarly oversaturated and may lack expertise in CGM interpretation [20].

Alyssa H Zadel, Katia Chiampas, Katrina Maktaz, John G Keller, Kathy W O'Gara, Leonardo Vargas, Angela Tzortzakis, Micah J Eimer, Emily D Szmuilowicz

JMIR Diabetes 2025;10:e69061

Combining Artificial Intelligence and Human Support in Mental Health: Digital Intervention With Comparable Effectiveness to Human-Delivered Care

Combining Artificial Intelligence and Human Support in Mental Health: Digital Intervention With Comparable Effectiveness to Human-Delivered Care

Here, both the persistent clinical effect at 1-month follow-up and the significant improvement in the impact of anxiety on participants’ day-to-day functioning (as measured with the WSAS) highlight the potential of the digital program to instigate long-lasting behavioral change. Retrospective analysis of recurrence data from electronic health records is needed to accurately measure the persistence of the clinical effect in the real world over a longer follow-up period.

Clare E Palmer, Emily Marshall, Edward Millgate, Graham Warren, Michael Ewbank, Elisa Cooper, Samantha Lawes, Alastair Smith, Chris Hutchins-Joss, Jessica Young, Malika Bouazzaoui, Morad Margoum, Sandra Healey, Louise Marshall, Shaun Mehew, Ronan Cummins, Valentin Tablan, Ana Catarino, Andrew E Welchman, Andrew D Blackwell

J Med Internet Res 2025;27:e69351