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Improving Prediction of Falls and Cognitive Impairment in Parkinson Disease: Protocol for a Decentralized Observational Study

Improving Prediction of Falls and Cognitive Impairment in Parkinson Disease: Protocol for a Decentralized Observational Study

Participants are provided with a webcam, Bluetooth adapter, smartphone stand, tablet stand, or an Android study phone with a data plan, when needed, to enable participation. There are no other technological requirements. A history of prior falls or cognitive impairment does not exclude individuals from participating.

Audrey Hoyt, Casey Dorney, Peggy Auinger, Kathryn Murphy, Michelle Porto, Katrina Schmier, Renee Wilson, James C Beck, Stephanie Benvengo, Kevin Biglan, E Ray Dorsey, Alberto J Espay, Eric A Macklin, Mariana HG Monje, Dan Novak, David Oakes, Larsson Omberg, Michael A Schwarzschild, Solveig K Sieberts, Tanya Simuni, Caroline M Tanner, Daniel Weintraub, Ruth B Schneider

JMIR Res Protoc 2025;14:e71955

User-Centered Design of Trauma Systems Solutions for Retriage of Patients With Injury: Mixed Methods Study

User-Centered Design of Trauma Systems Solutions for Retriage of Patients With Injury: Mixed Methods Study

The retriage process itself can be summarized by two key phases when a severely injured patient is brought to a nontrauma or low-level trauma center: (1) identifying the patient’s care needs that trigger the transfer process and; (2) the transportation of the patient and their data to a high-level trauma center [6].

John Dwight Slocum, David Jelke, Qixuan Mai, Julie K Johnson, My L T Nguyen, Lixuan Cong, Adithya Chandrasekaran, Jane L Holl, Yuriy Moklyak, Justin Mis, Molly Gabaldo, James G Adams, William M Brigode, Mary Beth Voights, Rebecca Andersen, Tamuriat Gilbert, Nicole Siparsky, Arthur Proust, Anne M Stey, Andrew B L Berry

J Med Internet Res 2025;27:e70846

Primary Care Clinician Perspectives on Older Adult Chronic Pain Management and Clinical Decision Support: Qualitative Study

Primary Care Clinician Perspectives on Older Adult Chronic Pain Management and Clinical Decision Support: Qualitative Study

About three-quarters self-identified as White (n=13, 72%), with the remaining participants identifying as Asian (n=3, 17%), African American (n=1, 6%), and multiracial (n=1, 6%). Twelve clinicians self-identified as female (67%) and 6 as male (33%). Half of the clinicians had practiced for 10 years or fewer (9, 50%).

Isra Hasnain, Erin M Staab, Ainur Kagarmanova, Marissa Mackiewicz, Mim Ari, Katherine Thompson, Danielle Lazar, Anne Zhao, Glyn Elwyn, Christopher A Harle, Valerie G Press, Neda Laiteerapong

JMIR Form Res 2025;9:e74381

A Novel Approach to Care Redesign Collaboration Between Emergency and Specialty Departments: Qualitative Experience Report

A Novel Approach to Care Redesign Collaboration Between Emergency and Specialty Departments: Qualitative Experience Report

Stanford is a Comprehensive Stroke Center and a Level I Trauma Center. To improve care transitions between emergency services and ambulatory specialty care, the ED first partnered with the Department of Orthopedic Surgery. In June 2022, this partnership implemented a workflow that triaged ED referrals to orthopedic surgery as “routine,” “urgent,” or “immediate,” with specified follow-up timelines; results will be reported elsewhere.

Sonia Rose Harris, Christian Rose, Samantha MR Kling, Brett A Cohen, Olga Goldberg, Hannah Walton, Darlene Veruttipong, Mohamed Alhadha, Sheneé K Laurence, Shashank Ravi, Carl A Gold, Jonathan G Shaw, Laurice Yang, Cati G Brown-Johnson

JMIR Form Res 2025;9:e22028

Evaluating a Digital Intervention to Reduce Aggression and Pro-Firearm Violence Attitudes Among Young Black Males: Pretest-Posttest Feasibility Study

Evaluating a Digital Intervention to Reduce Aggression and Pro-Firearm Violence Attitudes Among Young Black Males: Pretest-Posttest Feasibility Study

Young Black males aged 15–24 experience the highest firearm homicide burden in the United States, with rates reaching 52.9 per 100,000 [2-4], more than 18 to 24 times higher than those of their White male peers, particularly in the aftermath of the COVID-19 pandemic [3,5-9]. Black youth remain historically underserved in mental health and early violence prevention systems (ie, primary prevention).

Chuka Emezue, Jessica Bishop-Royse, Andrew Froilan, Tara Wilkes, Niranjan S Karnik, Wrenetha A Julion

JMIR Pediatr Parent 2025;8:e70048

A Novel Mobile Health App to Educate and Empower Young Adults With Type 1 Diabetes to Exercise Safely: Prospective Single-Arm Pre-Post Noninferiority Clinical Trial

A Novel Mobile Health App to Educate and Empower Young Adults With Type 1 Diabetes to Exercise Safely: Prospective Single-Arm Pre-Post Noninferiority Clinical Trial

Previously analyzed data collected as part of a longitudinal randomized controlled trial [24], in a sample of 12 to 25-year-old participants, along with data collected in a pilot study [23], were used to inform parameters of the sample size power calculation. Given the (1) estimated rate of hypoglycemic events All participants were required to complete the study intervention over a 12-week period during school terms to ensure minimal variation for both children and adolescent participants.

Vinutha Beliyurguthu Shetty, Rachel Lim, Shaun Teo, Wayne H K Soon, Heather C Roby, Alison G Roberts, Grant J Smith, Paul A Fournier, Timothy W Jones, Elizabeth A Davis

JMIR Diabetes 2025;10:e68694

Online Resources for Hidradenitis Suppurativa for Patient Use: Systematic Search and Analysis

Online Resources for Hidradenitis Suppurativa for Patient Use: Systematic Search and Analysis

A systematic search of Google and Bing was conducted using the term hidradenitis suppurativa in an incognito browser with location services disabled. Searches were performed on the same day to minimize discrepancies due to search algorithm changes. Twenty results were obtained from each search engine. Advertisements, duplicate content, paywalled articles, and incomplete sources were screened out, leaving a combined 20 websites for analysis.

Emily Sheetz, Aryn A Alanizi, Joshua Edwards, Alice A Roberts

JMIR Dermatol 2025;8:e72773

Diagnostic Prediction Models for Primary Care, Based on AI and Electronic Health Records: Systematic Review

Diagnostic Prediction Models for Primary Care, Based on AI and Electronic Health Records: Systematic Review

The diagnostic process is a core task of general practitioners (GPs). However, making a diagnosis may be a challenging task given the diversity, complexity, and early presentation of symptoms. Clinical prediction models are intended to improve the diagnostic process [1]. These models can support the health care provider by predicting serious illness [2]. In the last years, the interest in artificial intelligence (AI) techniques for the development of prediction models has been growing [3,4].

Liesbeth Hunik, Asma Chaabouni, Twan van Laarhoven, Tim C Olde Hartman, Ralph T H Leijenaar, Jochen W L Cals, Annemarie A Uijen, Henk J Schers

JMIR Med Inform 2025;13:e62862

Characteristics Associated With the Use of the Mindfulness Meditation App Headspace in a Large Public Health Deployment: Cross-Sectional Survey Study

Characteristics Associated With the Use of the Mindfulness Meditation App Headspace in a Large Public Health Deployment: Cross-Sectional Survey Study

This study draws from a California-based innovation program which offered the mindfulness meditation app Headspace for free to community members as a mental health resource. The evaluation of this program provides a unique opportunity to understand factors in the context of real-world use rather than a research environment.

Judith Borghouts, Elizabeth V Eikey, Cinthia De Leon, Stephen M Schueller, Margaret Schneider, Nicole A Stadnick, Kai Zheng, Dana B Mukamel, Dara H Sorkin

JMIR Form Res 2025;9:e73457