Search Articles

View query in Help articles search

Search Results (1 to 10 of 2607 Results)

Download search results: CSV END BibTex RIS


Suicide Risk Screening in Jails: Protocol for a Pilot Study Leveraging the Mental Health Research Network Algorithm and Health Care Data

Suicide Risk Screening in Jails: Protocol for a Pilot Study Leveraging the Mental Health Research Network Algorithm and Health Care Data

The MHRN model outperformed other suicide screens and machine learning models with a C-statistic, area under the receiver operating characteristic (ROC) curve, of 0.853 (95% CI 0.849-0.857) compared with the Recovery Engagement and Coordination for Health-Veterans Enhanced Treatment (REACH VET) model, which has a C-statistic of 0.761 (95% CI 0.751-0.771) [21], with the top 5% of risk scores identifying over 43% of suicide attempts or deaths 90 days following a health care visit.

Erin B Comartin, Grant Victor, Athena Kheibari, Brian K Ahmedani, Bethany Hedden-Clayton, Richard N Jones, Ted R Miller, Jennifer E Johnson, Lauren M Weinstock, Sheryl Kubiak

JMIR Res Protoc 2025;14:e68517

Research Dissemination Strategies in Pediatric Emergency Care Using a Professional Twitter (X) Account: A Mixed Methods Developmental Study of a Logic Model Framework

Research Dissemination Strategies in Pediatric Emergency Care Using a Professional Twitter (X) Account: A Mixed Methods Developmental Study of a Logic Model Framework

development (R) Acquisition of external graphics designer (G) Selection of software and metrics (J) Learning to work with existing technologies for scheduling and publishing (AF) Sudden unexpected team member change (U) Outputs Extracting key teaching points from top PECARN articles into tweet (X) Tweet frequency established at the same time each week (3 times per week) (AH) Tweet visual structure: Intentional or strategic polls, emojis, bullet points, and multimedia such as images and videos (AA, AB, AC, C,

Gwendolyn C Hooley, Julia N Magana, Jason M Woods, Shyam Sivasankar, Lauren VonHoltz, Anita R Schmidt, Todd P Chang, Michelle Lin

JMIR Form Res 2025;9:e59481

The Rapid Online Cognitive Assessment for the Detection of Neurocognitive Disorder: Open-Label Study

The Rapid Online Cognitive Assessment for the Detection of Neurocognitive Disorder: Open-Label Study

We first evaluated how Ro CA evaluated patient drawings (Figure 3 A-C). Ro CA classified 97% (44/46) of the cubes correctly, 91% (42/46) of the infinities correctly, and 98% (45/46) of the clocks correctly. We next calculated the accuracy of Ro CA for each drawing individually (Figure 3 D). We compared the accuracy of each drawing to its statistical baseline by bootstrapping, resampling the accuracy, and counting the number of times it fell below the random classifier.

Calvin Howard, Amy Johnson, Joseph Peedicail, Marcus C Ng

J Med Internet Res 2025;27:e66735

Use, Usability, and Experience Testing of a Digital Health Intervention to Support Chronic Kidney Disease Self-Management: Mixed Methods Study

Use, Usability, and Experience Testing of a Digital Health Intervention to Support Chronic Kidney Disease Self-Management: Mixed Methods Study

Self-Management Intervention through Lifestyle Education for Kidney health (SMILE-K) trial intervention group participant characteristics for those assigned to the intervention group and those who activated their My Kidneys & Me (MK&M) account. ae GFR: estimated glomerular filtration rate. b ACR: albumin to creatinine ratio. c Hb A1c: hemoglobin A1c. d CRP: C-reactive protein. e PAM-13: Patient Activation Measure-13.

Courtney J Lightfoot, Thomas J Wilkinson, Roseanne E Billany, Gurneet K Sohansoha, Noemi Vadaszy, Ella C Ford, Melanie J Davies, Thomas Yates, Alice C Smith, Matthew P M Graham-Brown

J Med Internet Res 2025;27:e75845