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Validation of an Adaptive Assessment of Executive Functions (Adaptive Cognitive Evaluation-Explorer): Longitudinal and Cross-Sectional Analyses of Cognitive Task Performance

Validation of an Adaptive Assessment of Executive Functions (Adaptive Cognitive Evaluation-Explorer): Longitudinal and Cross-Sectional Analyses of Cognitive Task Performance

Study recruitment and data collection for the ACE-X validation study took place simultaneously between May 2021 and January 2023. Adult participants were recruited via advertising on various social media platforms (eg, Craigslist [Craig Newmark] and Facebook [Meta Platforms]), MTurk (Amazon, Inc), and a Qualtrics (Qualtrics International Inc) recruitment panel.

Kristine D O'Laughlin, Britte Haugan Cheng, Joshua J Volponi, John David A Lorentz, Sophia A Obregon, Jessica Wise Younger, Adam Gazzaley, Melina R Uncapher, Joaquin A Anguera

J Med Internet Res 2025;27:e60041

Daily Automated Prediction of Delirium Risk in Hospitalized Patients: Model Development and Validation

Daily Automated Prediction of Delirium Risk in Hospitalized Patients: Model Development and Validation

We used 10-fold cross-validation [25] for hyperparameter tuning to minimize overfitting. Hyperparameters (such as lambda for L1 regularization) were tuned using a grid search. All development was done using the Ubuntu 18.04 distribution of Gnu-Linux. Data processing and analysis were performed using the Python [26] and Julia [27] programming languages. The code used to generate the models and figures is publicly available [28].

Kendrick Matthew Shaw, Yu-Ping Shao, Manohar Ghanta, Valdery Moura Junior, Eyal Y Kimchi, Timothy T Houle, Oluwaseun Akeju, Michael Brandon Westover

JMIR Med Inform 2025;13:e60442

Correction: Patients’ Experienced Usability and Satisfaction With Digital Health Solutions in a Home Setting: Instrument Validation Study

Correction: Patients’ Experienced Usability and Satisfaction With Digital Health Solutions in a Home Setting: Instrument Validation Study

In “Patients' Experienced Usability and Satisfaction With Digital Health Solutions in a Home Setting: Instrument Validation Study” (JMIR Med Inform 2025 Jan 8:13:e63703) the authors noted two errors. The ORCID for author David P Neal was changed from: 000-0002-5531-9962 To the following: 0000-0001-7916-3299 Additionally, the author “Ellen MA Smets” was changed to “Ellen M A Smets.”

Susan J Oudbier, Ellen M A Smets, Pythia T Nieuwkerk, David P Neal, S Azam Nurmohamed, Hans J Meij, Linda W Dusseljee-Peute

JMIR Med Inform 2025;13:e73416

Development and Validation of the Digital Health Literacy Questionnaire for Stroke Survivors: Exploratory Sequential Mixed Methods Study

Development and Validation of the Digital Health Literacy Questionnaire for Stroke Survivors: Exploratory Sequential Mixed Methods Study

Content validation was conducted among stroke survivors recruited from the Department of Neurology and Department of Neurosurgery at the Fifth Affiliated Hospital of Zunyi Medical University, as well as among experts in the field of neurology. The inclusion criteria were defined as being aged 18 years or older, owning a smartphone, and having the ability to read and understand Chinese. Individuals with mental disorders were excluded from the study.

Qin Ye, Wei Wang, Xuan Zeng, Yuxian Kuang, Bingbing Geng, Song Zhou, Ning Liu

J Med Internet Res 2025;27:e64591

Assessing Total Hip Arthroplasty Outcomes and Generating an Orthopedic Research Outcome Database via a Natural Language Processing Pipeline: Development and Validation Study

Assessing Total Hip Arthroplasty Outcomes and Generating an Orthopedic Research Outcome Database via a Natural Language Processing Pipeline: Development and Validation Study

Instead of relying solely on predefined training-validation-test ratios, we incorporated post hoc validation on a large dataset to assess generalizability, a common strategy in clinical text mining [12,13]. In addition, clinical insight was also gained regarding the frequency and management of complications over a 1-year period. While the study highlights the effectiveness of NLP tools in single surgeon practices, extensive datasets can greatly benefit from its capabilities.

Nicholas H Mast, Clara L. Oeste, Dries Hens

JMIR Med Inform 2025;13:e64705

FRAILSURVEY—an mHealth App for Self-Assessment of Frailty Based on the Portuguese Version of the Groningen Frailty Indicator: Validation and Reliability Study

FRAILSURVEY—an mHealth App for Self-Assessment of Frailty Based on the Portuguese Version of the Groningen Frailty Indicator: Validation and Reliability Study

To our knowledge, there is still no study on the translation and validation of the GFI into European Portuguese. Despite being commonly used, paper-based questionnaires have several disadvantages: manual data entry is time-consuming and leads to potential errors; accessibility is limited as they must be physically distributed and collected; data security may be compromised; and incomplete or illegible responses and reduced data analysis capabilities are common challenges.

Luis Midao, Mafalda Duarte, Rute Sampaio, Marta Almada, Cláudia Camila Dias, Constança Paúl, Elísio Costa

JMIR Form Res 2025;9:e51975

Augmenting Insufficiently Accruing Oncology Clinical Trials Using Generative Models: Validation Study

Augmenting Insufficiently Accruing Oncology Clinical Trials Using Generative Models: Validation Study

Regulators have noted the potential of simulated patients in clinical trials [133] and have further suggested adopting the Government Accountability Office accountability framework [134] for the application of machine learning models to in silico trials, which includes addressing challenges related to governance, accountability, and transparency; data considerations; and model development, performance, and validation [135].

Samer El Kababji, Nicholas Mitsakakis, Elizabeth Jonker, Ana-Alicia Beltran-Bless, Gregory Pond, Lisa Vandermeer, Dhenuka Radhakrishnan, Lucy Mosquera, Alexander Paterson, Lois Shepherd, Bingshu Chen, William Barlow, Julie Gralow, Marie-France Savard, Christian Fesl, Dominik Hlauschek, Marija Balic, Gabriel Rinnerthaler, Richard Greil, Michael Gnant, Mark Clemons, Khaled El Emam

J Med Internet Res 2025;27:e66821

A Validation Tool (VaPCE) for Postcoordinated SNOMED CT Expressions: Development and Usability Study

A Validation Tool (VaPCE) for Postcoordinated SNOMED CT Expressions: Development and Usability Study

This work aims to supplement this by adding semantic validation, which should provide better feedback for the user. An alternative method for the syntactic and semantic validation of PCEs is using the commercial terminology server Ontoserver [10] of Commonwealth Scientific and Industrial Research Organization. Ontoserver is currently the only Fast Healthcare Interoperability Resource (FHIR) terminology server that supports postcoordination at all.

Tessa Ohlsen, Viola Hofer, Josef Ingenerf

JMIR Med Inform 2025;13:e67984

Validation of the Nociception Level Index for the Detection of Nociception and Pain in Critically Ill Adults: Protocol for an Observational Study

Validation of the Nociception Level Index for the Detection of Nociception and Pain in Critically Ill Adults: Protocol for an Observational Study

However, these pilot validation studies of the NOL were limited to 2 nociceptive procedures as part of standard care and were solely conducted in ICU patients who were able to self-report. Further validation of the NOL during various standard care procedures in critically ill adults with different levels of consciousness or sedation and in response to analgesic treatment is necessary to confirm its validity for the assessment of nociception and related pain in the ICU.

Céline Gélinas, Shiva Shahiri T, Han Ting Wang, Maria Cecilia Gallani, Walid Oulehri, Denny Laporta, Philippe Richebé

JMIR Res Protoc 2025;14:e60672

Assessing Preparedness for Self-Management of Oral Anticoagulation in Adults With the PERSONAE Scale: Protocol for a Development and Validation Study

Assessing Preparedness for Self-Management of Oral Anticoagulation in Adults With the PERSONAE Scale: Protocol for a Development and Validation Study

Item pool drafting November 2023 Expert panel for validation Date of content validation: December 2023. Median age: 36 (IQR 29-45) years. Education qualifications: 25% (n=3) with a master of science, 25% (n=3) with a doctor of philosophy, and 50% (n=6) medical doctors. Specialties: 16.67% (n=2) in cardiology, 50% (n=6) in nursing, 16.67% (n=2) in pharmacy, and 16.67% (n=2) in internal medicine. Experience: All experts with more than 6 years in oral anticoagulation. Sex distribution: 66.67% (n=8) females.

Rosario Caruso, Gianluca Conte, Serenella Castelvecchio, Irene Baroni, Giulia Paglione, Giada De Angeli, Malgorzata Pasek, Arianna Magon

JMIR Res Protoc 2025;14:e51502