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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

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

Use of ChatGPT for Urinary Symptom Management Among People With Spinal Cord Injury or Disease: Qualitative Study

Use of ChatGPT for Urinary Symptom Management Among People With Spinal Cord Injury or Disease: Qualitative Study

UTIs represent a substantial burden on health care systems due to frequent emergency department visits and the complexities of managing recurrent cases. Among individuals with spinal cord injury or disease (SCI/D), including multiple sclerosis and spina bifida, the burden of UTIs is more pronounced, with nearly 60% experiencing recurrent UTIs each year—a rate 30 times higher than that of the general population [2,3].

Bat-Zion Hose, Amanda K Rounds, Ishaan Nandwani, Deanna-Nicole Busog, Traber Davis Giardina, Helen Haskell, Kelly M Smith, Kristen E Miller

JMIR Rehabil Assist Technol 2025;12:e70339

Developing a Novel Mobile App to Support HIV Testing and Pre-Exposure Prophylaxis Uptake Among Men Who Have Sex With Men: Formative and Technical Pilot Study

Developing a Novel Mobile App to Support HIV Testing and Pre-Exposure Prophylaxis Uptake Among Men Who Have Sex With Men: Formative and Technical Pilot Study

Upon completion of the technical pilot at month 2, participants were asked to complete a brief web-based survey to assess preliminary usability and acceptability of the app using the System Usability Scale (SUS), a validated tool assessing various domains of the app with demonstrated high internal consistency across several studies [29]. The SUS is a 10-item scale that measures a system’s usability on a scale of 0 to 100.

Albert Y Liu, Thiago S Torres, Cat-Dancing Alleyne, Janie Vinson, Kelly Bojan, Pedro Alonso Serrano, Temitope Oyedele, Elizabeth Enriquez-Bruce, Patricia Emmanuel, Jeb Jones, Kathryn E Muessig, Susan P Buchbinder, Patrick Sullivan, Lisa B Hightow-Weidman, Hyman Scott

JMIR Hum Factors 2025;12:e62830

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

An Informatics-Based, Payer-Led, Low-Intensity Multichannel Educational Campaign Designed to Decrease Postdischarge Utilization for Medicare Advantage Members: Retrospective Evaluation

An Informatics-Based, Payer-Led, Low-Intensity Multichannel Educational Campaign Designed to Decrease Postdischarge Utilization for Medicare Advantage Members: Retrospective Evaluation

A high-level overview of the campaign framework. Key foundational competencies directly enable the identification, delivery, and evaluation of an informatics-based, readmission avoidance educational messaging campaign for Medicare members of a large national payer. Potential members are identified through rule-based logic that is highly dependent on a rich and diverse data foundation.

Danica Fernandes, Elise Kokonas, Jai Bansal, Ken Hayashima, Brian Hurley, Annabel Ryu, Snehal Mhatre, Mohammed Ghori, Kelly Jean Craig, Amanda L Zaleski, Lily Vogel, Alena Baquet-Simpson, Daniel Reif

JMIR Hum Factors 2025;12:e63841

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