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Quality and Misinformation About Health Conditions in Online Peer Support Groups: Scoping Review

Quality and Misinformation About Health Conditions in Online Peer Support Groups: Scoping Review

This scoping review was conducted in accordance with the Joanna Briggs Institute methodology for scoping reviews [35-37] and followed the PRISMA-Sc R (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) checklist for reporting [38]. The review protocol was registered in January 2024 on the Open Science Framework Registries [39].

Bethan M Treadgold, Neil S Coulson, John L Campbell, Jeffrey Lambert, Emma Pitchforth

J Med Internet Res 2025;27:e71140

Predictive Modeling of Acute Respiratory Distress Syndrome Using Machine Learning: Systematic Review and Meta-Analysis

Predictive Modeling of Acute Respiratory Distress Syndrome Using Machine Learning: Systematic Review and Meta-Analysis

This study was carried out in adherence to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (Multimedia Appendix 1) [12]. A thorough literature search was performed across 6 databases (Pub Med, Web of Science, Pro Quest, Scopus, Embase, and Cochrane) up to December 29, 2024, to locate studies investigating the use of ML in predicting and diagnosing ARDS.

Jinxi Yang, Siyao Zeng, Shanpeng Cui, Junbo Zheng, Hongliang Wang

J Med Internet Res 2025;27:e66615

Effectiveness of eHealth for Medication Adherence in Renal Transplant Recipients: Systematic Review and Meta-Analysis

Effectiveness of eHealth for Medication Adherence in Renal Transplant Recipients: Systematic Review and Meta-Analysis

The review was conducted in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines (Multimedia Appendix 1). Ethics approval was not required for this systematic review by the authors’ institutional review board, as it exclusively analyzed existing published data. Before data collection, we formulated the research questions using the Population, Intervention, Comparator, Outcome, and Study Design framework.

Lili Zhou, Ke Cheng, Linbin Chen, Xinyi Hou, Jingjing Wan

J Med Internet Res 2025;27:e73520

Digital Mental Health Interventions for Young People Aged 16-25 Years: Scoping Review

Digital Mental Health Interventions for Young People Aged 16-25 Years: Scoping Review

Reporting was guided by the PRISMA-Sc R (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) checklist (Multimedia Appendix 2). Search terms used to identify studies across 6 key databases. Articles published in English only were considered for inclusion. The selection criteria are presented in Textbox 1.

Courtney Potts, Carmen Kealy, Jamie M McNulty, Alba Madrid-Cagigal, Thomas Wilson, Maurice D Mulvenna, Siobhan O'Neill, Gary Donohoe, Margaret M Barry

J Med Internet Res 2025;27:e72892

Review and Comparative Evaluation of Mobile Apps for Cardiovascular Risk Estimation: Usability Evaluation Using mHealth App Usability Questionnaire

Review and Comparative Evaluation of Mobile Apps for Cardiovascular Risk Estimation: Usability Evaluation Using mHealth App Usability Questionnaire

According to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses)(Checklist 1) [43] flow diagram, we searched for apps and excluded or included them based on their title, icon, and description in the app store. The coding process categorized key aspects from all apps, names, and website links from each web store were manually transferred into Excel spreadsheets.

Adrijana Svenšek, Lucija Gosak, Mateja Lorber, Gregor Štiglic, Nino Fijačko

JMIR Mhealth Uhealth 2025;13:e56466

Electronic Implementation of Patient-Reported Outcome Measures in Primary Health Care: Mixed Methods Systematic Review

Electronic Implementation of Patient-Reported Outcome Measures in Primary Health Care: Mixed Methods Systematic Review

We conducted a systematic review of the literature according to the Cochrane Methods Group and in compliance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for its reporting (Multimedia Appendix 1) [16,17]. We registered the study protocol with the PROSPERO Systematic Review Registry (ID: CRD42022333513) [18] and have also published it [19]. The synthesis questions were (1) What are the effective strategies to implement e PROMs in PHC?

Maxime Sasseville, Wilfried Supper, Jean-Baptiste Gartner, Géraldine Layani, Samira Amil, Peter Sheffield, Marie-Pierre Gagnon, Catherine Hudon, Sylvie Lambert, Eugène Attisso, Steven Ouellet, Mylaine Breton, Marie-Eve Poitras, Pierre-Henri Roux-Lévy, James Plaisimond, Frédéric Bergeron, Rachelle Ashcroft, Sabrina T. Wong, Antoine Groulx, Jean-Sébastien Paquette, Natasha D'Anjou, Sylviane Langlois, Annie LeBlanc

J Med Internet Res 2025;27:e63639

Accuracy of Large Language Models When Answering Clinical Research Questions: Systematic Review and Network Meta-Analysis

Accuracy of Large Language Models When Answering Clinical Research Questions: Systematic Review and Network Meta-Analysis

The network meta-analysis (NMA) was based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) reporting guidelines. The PRISMA checklist is shown in Multimedia Appendix 1. The Bayesian approach permits the indirect comparison of performance between a range of LLMs that were not explicitly articulated throughout the experiment. The study protocol was defined and registered in the PROSPERO database prior to the commencement of the study.

Ling Wang, Jinglin Li, Boyang Zhuang, Shasha Huang, Meilin Fang, Cunze Wang, Wen Li, Mohan Zhang, Shurong Gong

J Med Internet Res 2025;27:e64486

Mobile Health Interventions for Modifying Indigenous Maternal and Child–Health Related Behaviors: Systematic Review

Mobile Health Interventions for Modifying Indigenous Maternal and Child–Health Related Behaviors: Systematic Review

The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for the conduct and reporting [27] (Multimedia Appendix 1). The protocol was followed fully except that the third aim, to explore if the identified interventions were co-designed, was included after the protocol was submitted for registration to PROSPERO based on experts’ advice.

Sana Ishaque, Ola Ela, Anna Dowling, Chris Rissel, Karla Canuto, Kerry Hall, Niranjan Bidargaddi, Annette Briley, Claire T Roberts, Billie Bonevski

J Med Internet Res 2025;27:e57019

Digital Health Interventions to Prevent Type 2 Diabetes Mellitus: Systematic Review

Digital Health Interventions to Prevent Type 2 Diabetes Mellitus: Systematic Review

This systematic review was conducted and reported following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines of 2020 [27]. Details of the PRISMA 2020 checklist are shown in Multimedia Appendix 1 [27]. The protocol of our systematic review was prospectively registered at PROSPERO (International Prospective Register of Systematic Reviews; registration number CRD42024512690).

Tuan Duong, Quita Olsen, Anish Menon, Leanna Woods, Wenyong Wang, Marlien Varnfield, Lee Jiang, Clair Sullivan

J Med Internet Res 2025;27:e67507

Primary Tumors of the Brain and Central Nervous System in Adults and Children in Sub-Saharan Africa: Protocol for a Scoping Review

Primary Tumors of the Brain and Central Nervous System in Adults and Children in Sub-Saharan Africa: Protocol for a Scoping Review

The main items in the PRISMA-Sc R (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) and PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-Analyses Protocols) [18,19] will guide the reporting of the protocol process, methods, and findings. The protocol is registered with the Open Science Framework since March 21, 2024, and will be updated.

Alhasan Ahmed Badeea Al-Fikri, Mesk Alhammadi, Chiedozie Arum, Mahima Kaur, Kayla Del Biondo, Ibrahim Bani, Victor Mudenda, Sten H Vermund

JMIR Res Protoc 2025;14:e66978