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Machine Learning Clinical Decision Support for Interdisciplinary Multimodal Chronic Musculoskeletal Pain Treatment: Prospective Pilot Study of Patient Assessment and Prognostic Profile Validation

Machine Learning Clinical Decision Support for Interdisciplinary Multimodal Chronic Musculoskeletal Pain Treatment: Prospective Pilot Study of Patient Assessment and Prognostic Profile Validation

Profile accuracy: H=high, M=medium, L=low. AUC: area under the curve; M: mixed; N: negative; P: positive; TPR: true-positive rate; TNR: true-negative rate. The above summary (Figure 2) presents results for all pilot study patients to show performance and overall results. However, the individual prognostic patient profile as used in IMPT clinical assessment provides clearly presented summary results for each patient.

Fredrick Zmudzki, Rob J E M Smeets, Jan S Groenewegen, Erik van der Graaff

JMIR Rehabil Assist Technol 2025;12:e65890

Mono-Professional Simulation-Based Obstetric Training in a Low-Resource Setting: Stepped-Wedge Cluster Randomized Trial

Mono-Professional Simulation-Based Obstetric Training in a Low-Resource Setting: Stepped-Wedge Cluster Randomized Trial

The SHO training program included a 1-day (8 h) mono-professional, simulation-based sessions, followed by half-day refresher sessions every 7 weeks. These refresher sessions started after the switch from the control to the intervention group. Each training session was provided by 2 local facilitators. Scenarios were based on the main local causes of maternal and perinatal mortality and tailored to local clinical protocols and availability of medical equipment.

Anne A C van Tetering, Ella L de Vries, Peter Ntuyo, E R van den Heuvel, Annemarie F Fransen, M Beatrijs van der Hout-van der Jagt, Imelda Namagembe, Josaphat Byamugisha, S Guid Oei

JMIR Med Educ 2025;11:e54911

Prerequisites for Cost-Effective Home Blood Pressure Telemonitoring: Early Health Economic Analysis

Prerequisites for Cost-Effective Home Blood Pressure Telemonitoring: Early Health Economic Analysis

https://www.zorginstituutnederland.nl/publicaties/publicatie/2024/01/16/richtlijn-voor-het-uitvoeren-van-economische-evaluaties-in-de-gezondheidszorg ://www.zorginstituutnederland.nl/over-ons/werkwijzen-en-procedures/adviseren-over-en-verduidelijken-van-het-basispakket-aan-zorg /beoordeling-van-geneesmiddelen/richtlijn-voor-economische-evaluatie) dashboard-arbeidsmarkt/ontwikkeling-cao-lonen/uurloon#:~:text=Als%20we%20kijken%20naar%20gemiddelden,van /Verdiepingsmodule+QALY+en+kwaliteit-van-leven-metingen+%28versie+2024%29.pdf)

Job van Steenkiste, Pim van Dorst, Daan Dohmen, Cornelis Boersma

JMIR Cardio 2025;9:e64386

Improving Recruitment Through Social Media and Web-Based Advertising to Evaluate the Genetic Risk and Long-Term Complications in Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis: Community-Based Survey

Improving Recruitment Through Social Media and Web-Based Advertising to Evaluate the Genetic Risk and Long-Term Complications in Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis: Community-Based Survey

H White: Hispanic White; NH White: Non-Hispanic White. Completed interest surveys and enrollment rate were broken down by recruitment channel. The SJS Foundation website produced 149 responses/69 enrolled (46.3% enrollment rate). Google Ads followed with 201 responses/56 enrolled. VUMC Facebook ads contributed 163 responses/25 enrolled (15.3% enrollment rate). Instagram had 7 responses/1 enrolled (14.3% enrollment rate).

Elizabeth A Williams, Michelle D Martin-Pozo, Alexis H Yu, Krystyna Daniels, Madeline Marks, April O'Connor, Elizabeth J Phillips

J Med Internet Res 2025;27:e63712