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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

Here, the outcome is the binary event on the individual (whether a birth was or was not complicated by maternal mortality, perinatal mortality, or both), and a logit link function was used to model the probability of the event. In the logit scale, the cluster indicator served as a random effect on the intercept, and the period of the stepped wedge was treated as a fixed effect, as well as the intervention effect.

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

Use and Acceptance of Innovative Digital Health Solutions Among Patients and Professionals: Survey Study

Use and Acceptance of Innovative Digital Health Solutions Among Patients and Professionals: Survey Study

The link to the web-based survey was distributed via publications in scientific journals such as Die Unfallchirurgie, the networks of the German Society for Orthopaedic and Trauma Surgery (Deutsche Gesellschaft für Orthopädie und Unfallchirurgie) and the German Society for Surgery (Deutsche Gesellschaft für Chirurgie), and web-based communication platforms such as Linked In and university web pages to reach a broad range of participants in both the professional field and among patients.

Fritz Seidl, Florian Hinterwimmer, Ferdinand Vogt, Günther M Edenharter, Karl F Braun, Rüdiger von Eisenhart-Rothe, AG Digitalisierung der DGOU, Peter Biberthaler, Dominik Pförringer

JMIR Hum Factors 2025;12:e60779

A Digital Home-Based Health Care Center for Remote Monitoring of Side Effects During Breast Cancer Therapy: Prospective, Single-Arm, Monocentric Feasibility Study

A Digital Home-Based Health Care Center for Remote Monitoring of Side Effects During Breast Cancer Therapy: Prospective, Single-Arm, Monocentric Feasibility Study

., Cupertino, CA, United States) for ECG measurements, (2) Hemo Cue WBC DIFF Analyzer (Hemo Cue AB, Ängelholm, Sweden) for WBC counts, (3) i Phone SE (Apple Inc.) for Qo L questionnaire completion and photo documentation, (4) mobile Wi-Fi router TP-Link M7350-4 G (TP-Link Corporation Limited, Düsseldorf, Germany), and (5) Raspberry Pi 4 Model B (Raspberry Pi, Cambridge, United Kingdom). Two cases were designed to enable safe and easy transport and handling of the devices (Figure 1 B-F). Case 01 (Figure 1 B-D; Fa.

Hanna Huebner, Lena A Wurmthaler, Chloë Goossens, Mathias Ernst, Alexander Mocker, Annika Krückel, Maximilian Kallert, Jürgen Geck, Milena Limpert, Katharina Seitz, Matthias Ruebner, Philipp Kreis, Felix Heindl, Manuel Hörner, Bernhard Volz, Eduard Roth, Carolin C Hack, Matthias W Beckmann, Sabrina Uhrig, Peter A Fasching

JMIR Cancer 2025;11:e64083

Improving Safety, Efficiency, Cost, and Satisfaction Across a Musculoskeletal Pathway Using the Digital Assessment Routing Tool for Triage: Quality Improvement Study

Improving Safety, Efficiency, Cost, and Satisfaction Across a Musculoskeletal Pathway Using the Digital Assessment Routing Tool for Triage: Quality Improvement Study

reduce false positives for serious pathology, direct off-work patients to urgent appointments Administrators: hesitance of patients to complete DART themselves Service manager: add support for patients waiting for an appointment Addition of free-text boxes on every DART assessment page Algorithm updates, creation of urgent appointment outcomes for off-work patients, and corresponding appointment type Change to administrator scripting and training in directing patients to DART self-assessment where possible Link

Cabella Lowe, Laura Atherton, Peter Lloyd, Anna Waters, Dylan Morrissey

J Med Internet Res 2025;27:e67269

Association Between Social Distancing Compliance and Public Place Crowding During the COVID-19 Pandemic: Cross-Sectional Observational Study Using Computer Vision to Analyze Surveillance Footage

Association Between Social Distancing Compliance and Public Place Crowding During the COVID-19 Pandemic: Cross-Sectional Observational Study Using Computer Vision to Analyze Surveillance Footage

To account for this variation, we reran the analysis for each camera in the sample to assess whether the link between crowding and social distancing remained consistent across different cameras or settings. This visualization for each camera is presented in Figure 1 B.

Lasse Suonperä Liebst, Wim Bernasco, Peter Ejbye-Ernst, Nigel van Herwijnen, Thomas van der Veen, Dennis Koelma, Cees G M Snoek, Marie Rosenkrantz Lindegaard

JMIR Public Health Surveill 2025;11:e50929

Testing a Machine Learning–Based Adaptive Motivational System for Socioeconomically Disadvantaged Smokers (Adapt2Quit): Protocol for a Randomized Controlled Trial

Testing a Machine Learning–Based Adaptive Motivational System for Socioeconomically Disadvantaged Smokers (Adapt2Quit): Protocol for a Randomized Controlled Trial

Participants had the option to complete the REDCap survey on their own, with research staff sending the secure REDCap link by either email or text or mailing a paper survey to the participant. The system is designed to first collect the main outcome data and then branch into any intervention or control-specific questions. This way the staff is blinded to the participants’ assignment when the primary outcome data are collected.

Ariana Kamberi, Benjamin Weitz, Julie Flahive, Julianna Eve, Reem Najjar, Tara Liaghat, Daniel Ford, Peter Lindenauer, Sharina Person, Thomas K Houston, Megan E Gauvey-Kern, Jackie Lobien, Rajani S Sadasivam

JMIR Res Protoc 2025;14:e63693