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Enhancing Surgical Safety and Efficiency: Systematic Review and Single-Arm Meta-Analysis of Surgical Data Recorders

Enhancing Surgical Safety and Efficiency: Systematic Review and Single-Arm Meta-Analysis of Surgical Data Recorders

The literature was systematically reviewed by conducting a comprehensive electronic search of the MEDLINE (Pub Med), Excerpta medica database (EMBASE) and Web of Science databases. References of the retrieved studies were manually searched to identify more potentially relevant studies. The search was rerun on February 10, 2025. The following search terms were used: “operating room black box,” “caresyntax,” “surgical data recording,” and “OR Black Box.”

Niels Siegel, André Rotärmel, Georgios Polychronidis, Gabriel Salg, Rosa Klotz, Pascal Probst, Thomas Pausch

J Med Internet Res 2025;27:e72703

Factors Associated With Digital Addiction: Umbrella Review

Factors Associated With Digital Addiction: Umbrella Review

This umbrella review was conducted in accordance with the registered protocol (Open Science Framework Registry) and the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 statement [13]. Our study protocol has been registered with PROSPERO (registration number CRD42024594911).

Yun Han, Jiamin Qiu, Chengbin Shi, Shiqi Huang, Haokun Huang, Xinman Wang, Sui Zhu, Da-lin Lu, Peng Lu, Fangfang Zeng

JMIR Ment Health 2025;12:e66950

Gait Disturbances in Older Adults With Cerebral Small Vessel Disease: Mixed Methods Study Using Smartphone Sensors and Video Analysis

Gait Disturbances in Older Adults With Cerebral Small Vessel Disease: Mixed Methods Study Using Smartphone Sensors and Video Analysis

Ethical approval was obtained from the Ethics Committee of Yuquan Hospital, Tsinghua University, and the Science and Technology Ethics Committee (Humanities, Social Sciences, and Engineering) of Tsinghua University. The formal IRB approval number is THU-04-2025-1023. All participants provided written informed consent before they participated in the study, which included consent for the collection, analysis, and publication of anonymized data and results. Participants did not receive financial compensation.

Xiaojun Lai, Li-Yan Qiao, Pei-Luen Patrick Rau, Yankuan Liu

JMIR Form Res 2025;9:e58864

Concordance Between Survey and Electronic Health Record Data in the COVID-19 Citizen Science Study: Retrospective Cohort Analysis

Concordance Between Survey and Electronic Health Record Data in the COVID-19 Citizen Science Study: Retrospective Cohort Analysis

The COVID-19 Citizen Science Study (CCS) is a longitudinal digital cohort study designed to generate knowledge about participant-reported outcomes related to the COVID-19 pandemic [15]. The study linked participant-reported data with their corresponding EHR data, thus presenting an opportunity to analyze the concordance between these data sources.

Elizabeth Crull, Emily C O'Brien, Pavel Antiperovitch, Kirubel Asfaw, Alexis L Beatty, Djeneba Audrey Djibo, Alan F Kaul, John Kornak, Gregory M Marcus, Madelaine Faulkner Modrow, Jeffrey E Olgin, Jaime Orozco, Soo Park, Noah Peyser, Mark J Pletcher, Thomas W Carton

JMIR Form Res 2025;9:e58097

Public Involvement in Cancer Research: Collaborative Evaluation Using Photovoice

Public Involvement in Cancer Research: Collaborative Evaluation Using Photovoice

Both projects, which ran simultaneously, used a hybrid effectiveness-implementation study design with similar research methods, focused on health outcomes, patient experience, costs to the health care system, and the process of implementation. Therefore, the decision was made to share experiences between these 2 projects and organize joint management and governance groups such as this one for public contributors. This paper refers to both breast and prostate interventions as the projects.

Piotr Teodorowski, Melanie McInnes, Glen Dale, Linda Galbraith, Esme Radin, Karen Gold, Erica Gadsby

JMIR Cancer 2025;11:e75741

Pharmacoepidemiologic Research Based on Common Data Models: Systematic Review and Bibliometric Analysis

Pharmacoepidemiologic Research Based on Common Data Models: Systematic Review and Bibliometric Analysis

Since Garfield’s seminal work in 1955 on identifying the most cited scientific papers in the Institute for Scientific Information Web of Knowledge (now known as Web of Science) database [20,21], numerous scholars have conducted bibliometric analysis comparing highly cited and less cited papers [22-24].

Yongqi Zheng, Meng Zhang, Conghui Wang, Ling Gao, Junqing Xie, Peng Shen, Yexiang Sun, Mengling Feng, Seng Chan You, Feng Sun

JMIR Med Inform 2025;13:e72225

Population-Based Digital Health Interventions to Deliver at-Home COVID-19 Testing: SCALE-UP II Randomized Clinical Trial

Population-Based Digital Health Interventions to Deliver at-Home COVID-19 Testing: SCALE-UP II Randomized Clinical Trial

Implementation outcomes included Reach-Engage (proportion of participants in SMS text messaging who sent any reply other than opt-out to the SMS text message offering a test kit, or proportion in chatbot who clicked on the hyperlink to launch the chatbot), PN-Request (proportion in PN who requested PN), PN-Engage (proportion in PN who talked to a patient navigator), and Opt-Out (proportion who replied any time in the study requesting to stop receiving study interventions).

Guilherme Del Fiol, Tatyana V Kuzmenko, Brian Orleans, Jonathan J Chipman, Tom Greene, Ray Meads, Kimberly A Kaphingst, Bryan Gibson, Kensaku Kawamoto, Andy J King, Tracey Siaperas, Shlisa Hughes, Alan Pruhs, Courtney Pariera Dinkins, Cho Y Lam, Joni H Pierce, Ryzen Benson, Emerson P Borsato, Ryan C Cornia, Leticia Stevens, Richard L Bradshaw, Chelsey R Schlechter, David W Wetter

J Med Internet Res 2025;27:e74145

Evaluation of Free-Living Motor Symptoms in Patients With Parkinson Disease Through Smartwatches: Protocol for Defining Digital Biomarkers

Evaluation of Free-Living Motor Symptoms in Patients With Parkinson Disease Through Smartwatches: Protocol for Defining Digital Biomarkers

Bio Clite (Digital Biomarkers for the Assessment of Motor Status in Parkinson’s Disease Patients With Clinical and Therapeutic Application) is a project funded by the Ministry of Science and Innovation of Spain (No. PID2021-123708 OB-I00) that aims to enhance PD monitoring using wearable technology. The Bio Clite project responds to the growing need for objective assessment tools to improve the management and long-term monitoring of PD using wearable devices, specifically smartwatches.

Carlos Polvorinos-Fernández, Luis Sigcha, María Centeno-Cerrato, Guillermo de Arcas, Miriam Grande, Mayca Marín, Isabel Pareés, Juan Carlos Martínez-Castrillo, Ignacio Pavón

JMIR Res Protoc 2025;14:e72820