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Seek and Ye Shall Not Find (Yet): Searching Clinical Trial Registries for Trials Designed With Patients—A Call to Action

Seek and Ye Shall Not Find (Yet): Searching Clinical Trial Registries for Trials Designed With Patients—A Call to Action

Notably, the main barriers occur well before a clinical trial is even offered to a patient [1]. That is, patients are not the main cause of low participation rates. The upstream nonpatient barriers can be structural (eg, access to a trial), clinical (eg, eligibility criteria) or doctor related (eg, offering a clinical trial) [1]. Indeed, when clinical trials are offered to patients with cancer, many (55%) agree to participate [1].

Karen Louise Woolley, JD Woolley, Mark James Woolley

J Particip Med 2025;17:e72015

A Novel Framework to Assess Clinical Information in Digital Health Technologies: Cross-Sectional Survey Study

A Novel Framework to Assess Clinical Information in Digital Health Technologies: Cross-Sectional Survey Study

An initial CLIQ framework was developed through a systematic review and qualitative synthesis of existing information quality frameworks for DHTs [11]. A CLIQ assessment questionnaire was then developed based on the CLIQ framework and further evidence from literature [21]. The questionnaire offers a pragmatic approach to assessing clinical information in DHTs based on relatable clinical scenarios.

Kayode Philip Fadahunsi, Petra A Wark, Nikolaos Mastellos, Ana Luisa Neves, Joseph Gallagher, Azeem Majeed, Josip Car

JMIR Med Inform 2025;13:e58125

Evaluating User Interactions and Adoption Patterns of Generative AI in Health Care Occupations Using Claude: Cross-Sectional Study

Evaluating User Interactions and Adoption Patterns of Generative AI in Health Care Occupations Using Claude: Cross-Sectional Study

Generative artificial intelligence (Gen AI) systems, developed by organizations such as Anthropic (Claude), Open AI (Chat GPT), Google (Gemini), Microsoft (Copilot), and Meta (Llama), represent a significant technological shift and are rapidly being adopted in diverse sectors globally at an unprecedented speed [1]. Health care represents a domain where Gen AI holds considerable transformative potential.

Gabriel Alain, James Crick, Ella Snead, Catherine C Quatman-Yates, Carmen E Quatman

J Med Internet Res 2025;27:e73918

Analyzing Trends in Suicidal Thoughts Among Patients With Psychosis in India: Exploratory Secondary Analysis of Smartphone Ecological Momentary Assessment Data

Analyzing Trends in Suicidal Thoughts Among Patients With Psychosis in India: Exploratory Secondary Analysis of Smartphone Ecological Momentary Assessment Data

Suicide is a common cause of premature mortality among people living with schizophrenia [3,4] and a recent systematic review has reported a point prevalence of nearly 30% of SIs in people with schizophrenia [5]. Most of the empirical research on the risks of suicidality includes cross-sectional or retrospective studies that distinguish the characteristics between people who experience SIs or suicidal behavior, and those who do not [6-8].

Ameya P Bondre, Aashish Ranjan, Ritu Shrivastava, Deepak Tugnawat, Nirmal Kumar Chaturvedi, Anant Bhan, Snehil Gupta, Abhijit R Rozatkar, Srilakshmi Nagendra, Siddharth Dutt, Soumya Choudhary, Preethi V Reddy, Urvakhsh Meherwan Mehta, John A Naslund, John Torous

JMIR Form Res 2025;9:e67745

Estimating the Risk of Lower Extremity Complications in Adults Newly Diagnosed With Diabetic Polyneuropathy: Retrospective Cohort Study

Estimating the Risk of Lower Extremity Complications in Adults Newly Diagnosed With Diabetic Polyneuropathy: Retrospective Cohort Study

Due to potential limited computing infrastructures available to generate real-time predictions based on ML algorithms (eg, random forest) in some clinical settings, we also implemented a simplified version of the prediction approach described above in which we restricted the library of candidate predictors to a main-term logistic regression using training data pooled across all 8 quarters. This is equivalent to a classical discrete-time survival model with a logit link function [36].

Alyce S Adams, Catherine Lee, Gabriel Escobar, Elizabeth A Bayliss, Brian Callaghan, Michael Horberg, Julie A Schmittdiel, Connie Trinacty, Lisa K Gilliam, Eileen Kim, Nima S Hejazi, Lin Ma, Romain Neugebauer

JMIR Diabetes 2025;10:e60141

Barriers and Facilitators to HIV and Viral Hepatitis Testing in Primary Health Care Settings in the Kyrgyz Republic (BarTest): Protocol for a Mixed Methods Study

Barriers and Facilitators to HIV and Viral Hepatitis Testing in Primary Health Care Settings in the Kyrgyz Republic (BarTest): Protocol for a Mixed Methods Study

By using a 95% confidence level and a 5% margin error, the sample should have been 385. Accounting for potential nonresponse, our target sample size in phase II was 400 participants. We recruited participants through the local study partners (see the Study Team and Cooperation section). We used a multistage approach to select primary health care facilities in the country.

Ida Sperle, Nikolay Lunchenkov, Zuridin S Nurmatov, Aybek A Bekbolotov, Anastassiya Stepanovich-Falke, Michael Brandl, Olena Kysil, Stela Bivol, Viviane Bremer, Barbara Gunsenheimer-Bartmeyer, Sandra Dudareva

JMIR Res Protoc 2025;14:e62929

Health System Leadership for Psychological Health and Organizational Resilience During the COVID-19 Pandemic: Protocol for a Multimethod Study

Health System Leadership for Psychological Health and Organizational Resilience During the COVID-19 Pandemic: Protocol for a Multimethod Study

In a crisis, despite intense pressure, complexity, and uncertainty, leaders must be decisive, obtain and allocate stretched resources, and communicate clearly with employees, often under a spotlight [30-32].

Sonia Udod, Ibrahim Jahun, Pamela Elizabeth Baxter, Jaason M Geerts, Maura MacPhee, Gayle A Halas, Greta G Cummings, Suzanne Marie Gagnon

JMIR Res Protoc 2025;14:e66402

Smartphone- and Tablet-Based Tools to Assess Cognition in Individuals With Preclinical Alzheimer Disease and Mild Cognitive Impairment: Scoping Review

Smartphone- and Tablet-Based Tools to Assess Cognition in Individuals With Preclinical Alzheimer Disease and Mild Cognitive Impairment: Scoping Review

Tools were assigned a rating of ✓ if responsiveness of the digital tool to cognitive change over time was reported. Clinical meaningfulness is not considered a psychometric property but, rather, an important tool characteristic for interpretability of a (change in) score [29]. Clinical meaningfulness refers to a score (or its change) that can be interpreted as clinically relevant such that a qualitative meaning is assigned to the quantitative score [16,29].

Rosanne L van den Berg, Sophie M van der Landen, Matthijs J Keijzer, Aniek M van Gils, Maureen van Dam, Kirsten A Ziesemer, Roos J Jutten, John E Harrison, Casper de Boer, Wiesje M van der Flier, Sietske AM Sikkes

J Med Internet Res 2025;27:e65297

Effectiveness of a Health Education Program to Reduce Recurrence of Stroke by Controlling Modifiable Risk Factors in a Specialized Hospital in Bangladesh: Randomized Controlled Trial

Effectiveness of a Health Education Program to Reduce Recurrence of Stroke by Controlling Modifiable Risk Factors in a Specialized Hospital in Bangladesh: Randomized Controlled Trial

Patients in underdeveloped health care systems are not consistently diagnosed or treated because of a lack of information, infrastructure, resources, shortage of equipment, a lack of diagnostic accuracy, a lack of health education, and budgetary constraints, which prevents them from undergoing periodical medical examinations [9,10].

Mahabuba Afrin, K A T M Ehsanul Huq, Sharif Uddin Khan, Subir Chandra Das, Mohammad Shah Jahirul Hoque Chowdhury, Yasuko Fukuoka, Yasuko Fukushima, Michiko Moriyama

JMIR Public Health Surveill 2025;11:e72233

Clinician Attitudes and Perceptions of Point-of-Care Information Resources and Their Integration Into Electronic Health Records: Qualitative Interview Study

Clinician Attitudes and Perceptions of Point-of-Care Information Resources and Their Integration Into Electronic Health Records: Qualitative Interview Study

For instance, some participants favored evidence-based disease-related resources because they helped them learn about unfamiliar topics and clinically reason through possibilities while generating differential diagnoses for a medical case: It’s a good start for me to go to something like Up To Date for a disease state that I’m not familiar with, just because it does give you a general recommendation, but it also ties in a lot of the most recent guidelines of literature.

Marlika Marceau, Sevan Dulgarian, Jacob Cambre, Pamela M Garabedian, Mary G Amato, Diane L Seger, Lynn A Volk, Gretchen Purcell Jackson, David W Bates, Ronen Rozenblum, Ania Syrowatka

JMIR Med Inform 2025;13:e60191