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Research Electronic Data Capture (REDCap) for Population-Based Data Collection in Low- and Middle-Income Countries: Opportunities, Challenges, and Solutions

Research Electronic Data Capture (REDCap) for Population-Based Data Collection in Low- and Middle-Income Countries: Opportunities, Challenges, and Solutions

Hence, research design must take into account the study needs, team skills, and implementation logistics [15]. Recognizing these challenges, funders and institutes are increasingly requesting researchers to develop data management plans before, during, and after data collection. These plans must outline how each step will be monitored so that it is possible to keep track of what happens to the data [16,17].

Ha Thanh Le, Dung Viet Tien Vu, Thi Ngoc Anh Nguyen, Hang Tran Thi, Tan Viet Nguyen, Thao Phuong Tran, Aria Kekalih, Samita Rijal, Dewi Friska, Raph L. Hamers, Abhilasha Karkey, Mary Chambers, Jennifer Ilo Van Nuil, SPEAR and CoAct Team, Sonia Lewycka

J Med Internet Res 2025;27:e65377

Digital Health Intervention for Patient Monitoring in Immune-Mediated Inflammatory Diseases: Cocreation and Feasibility Study of the IMIDoc Platform

Digital Health Intervention for Patient Monitoring in Immune-Mediated Inflammatory Diseases: Cocreation and Feasibility Study of the IMIDoc Platform

In the current manuscript, we delineate the collaborative effort among a clinical team, a group of biomedical engineering experts, and a dedicated team of developers, in cocreating an application tailored to the unique needs of patients with immune‐mediated inflammatory diseases. Drawing upon interdisciplinary expertise, their efforts culminated in the IMIDoc app, an innovative digital health solution, which has also led to invaluable insights and lessons for future collaborative health-tech initiatives.

Diego Benavent, Jose M Iniesta-Chamorro, Marta Novella-Navarro, Miguel Pérez-Martínez, Nuria Martínez-Sánchez, Mónica Kaffati, Manuel Juárez-García, Marina Molinari-Pérez, Andrea González-Torbay, Mariana Gutiérrez, Natalia López-Juanes, Victoria Navarro-Compán, Irene Monjo-Henry, Germán Rodríguez-Rosales, Javier Bachiller, Enrique Calvo-Aranda, Xabier Michelena, Laura Berbel-Arcobé, Alejandro Balsa, IMIDOC Research Team, Enrique J Gómez, Chamaida Plasencia-Rodríguez

JMIR Hum Factors 2025;12:e58095

Spread and Scale of the Integrated Nutrition Pathway for Acute Care Across Canada: Protocol for the Advancing Malnutrition Care Program

Spread and Scale of the Integrated Nutrition Pathway for Acute Care Across Canada: Protocol for the Advancing Malnutrition Care Program

The AMC Core Team recruits, trains, and supports regional mentors, typically dietitians or managers with experience improving nutrition care in a clinical setting and connects them with hospital champions who are typically front-line clinical dietitians. The AMC Core Team supports a quarterly national community of practice to enhance mentor-champion capacity building for implementation and oversees AMC program evaluation (Figure 2).

Katherine L Ford, Celia Laur, Rupinder Dhaliwal, Roseann Nasser, Leah Gramlich, Johane P Allard, Heather Keller, AMC Core Team

JMIR Res Protoc 2024;13:e62764

Exploring the Relationship Between Public Social Media Accounts, Adolescent Mental Health, and Parental Guidance in England: Large Cross-Sectional School Survey Study

Exploring the Relationship Between Public Social Media Accounts, Adolescent Mental Health, and Parental Guidance in England: Large Cross-Sectional School Survey Study

Information on school-recorded opt-outs effected by nonconsenting parents was not shared with the study team in keeping with the study’s data protection protocols and ethics guidelines [18]. The final study sample is defined as 16,655 adolescents in secondary schools and FECs aged 11 to 18 years responding to social media use questions. Adolescents were excluded from the sample if they spent Flow diagram of participant eligibility.

Wakithi Siza Mabaso, Sascha Hein, Gabriela Pavarini, The OxWell Study Team, Mina Fazel

J Med Internet Res 2024;26:e57154

A Mindfulness-Based Lifestyle Intervention for Dementia Risk Reduction: Protocol for the My Healthy Brain Feasibility Randomized Controlled Trial

A Mindfulness-Based Lifestyle Intervention for Dementia Risk Reduction: Protocol for the My Healthy Brain Feasibility Randomized Controlled Trial

Our interdisciplinary team has developed the first group mindfulness-based lifestyle intervention (My Healthy Brain [MHB]) that aims to modify early risk for AD/ADRD. We conducted a series of preliminary studies to develop MHB following the National Institutes of Health (NIH) Stage Model [62], an iterative framework for guiding behavioral intervention development and testing, from pilot studies to implementation and dissemination (Figure 1).

Ryan A Mace, Makenna E Law, Joshua E Cohen, Christine S Ritchie, Olivia I Okereke, Bettina B Hoeppner, Judson A Brewer, Stephen J Bartels, Ana-Maria Vranceanu, My Healthy Brain Team

JMIR Res Protoc 2024;13:e64149

Neighborhoods, Networks, and HIV Care Among Men Who Have Sex With Men: Proposal for a Longitudinal Study

Neighborhoods, Networks, and HIV Care Among Men Who Have Sex With Men: Proposal for a Longitudinal Study

This design positions the study team to capture differential exposure to neighborhood and network characteristics and effects of national health policy changes, including changes to local, state, and federal health and social policy that may occur over time.

Hong Van Tieu, Vijay Nandi, José E Diaz, Emily Greene, Melonie Walcott, Frank Curriero, Michael R Desjardins, Cara Wychgram, Carl Latkin, Andrew G Rundle, Victoria A Frye, NNHIV Study Team

JMIR Res Protoc 2024;13:e64358

A SIMBA CoMICs Initiative to Cocreating and Disseminating Evidence-Based, Peer-Reviewed Short Videos on Social Media: Mixed Methods Prospective Study

A SIMBA CoMICs Initiative to Cocreating and Disseminating Evidence-Based, Peer-Reviewed Short Videos on Social Media: Mixed Methods Prospective Study

Many studies report methods for evaluating medical content on social media, specifically You Tube [15], but few describe medical education videos’ development, implementation, and evaluation.

Maiar Elhariry, Kashish Malhotra, Kashish Goyal, Marco Bardus, SIMBA and CoMICs Team, Punith Kempegowda

JMIR Med Educ 2024;10:e52924

Predicting the Effectiveness of a Mindfulness Virtual Community Intervention for University Students: Machine Learning Model

Predicting the Effectiveness of a Mindfulness Virtual Community Intervention for University Students: Machine Learning Model

The classifiers’ performances were assessed based on several evaluation metrics, including the percentage of correctly classified instances or the accuracy, sensitivity, specificity, and area under the curve (AUC) of the receiver operating characteristic curve. The best performance, as measured by the AUC score, was chosen for each algorithm.

Christo El Morr, Farideh Tavangar, Farah Ahmad, Paul Ritvo, MVC Team

Interact J Med Res 2024;13:e50982

Usability of an Automated System for Real-Time Monitoring of Shared Decision-Making for Surgery: Mixed Methods Evaluation

Usability of an Automated System for Real-Time Monitoring of Shared Decision-Making for Surgery: Mixed Methods Evaluation

The evaluation of existing e PRM systems highlights the importance of user-friendly processes for their optimal performance [37-40]. Furthermore, the principles of good usability are important because they can be vital to the widespread uptake of e PRM systems by patients and their successful implementation in clinical practice [41-43]. Usability is an outcome defined as the extent to which the system can be used by specified users [44].

Christin Hoffmann, Kerry Avery, Rhiannon Macefield, Tadeáš Dvořák, Val Snelgrove, Jane Blazeby, Della Hopkins, Shireen Hickey, Ben Gibbison, Leila Rooshenas, Adam Williams, Jonathan Aning, Hilary L Bekker, Angus GK McNair, The ALPACA Study Team

JMIR Hum Factors 2024;11:e46698