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Codevelopment of a Shared Decision-Making Resource Platform for Women and Girls in 3 Low- and Middle-Income Countries (ENGAGEEs): Protocol for a Participatory Research Project

Codevelopment of a Shared Decision-Making Resource Platform for Women and Girls in 3 Low- and Middle-Income Countries (ENGAGEEs): Protocol for a Participatory Research Project

Therefore, there is a need to create initiatives and partnerships that can enable this group to make informed decisions about their health and well-being. In general, the development of DSTs and SDM training programs is guided by the decision-making needs of a targeted group [15]. Decision-making needs may be defined as factors that prevent people from making informed health care decisions.

Amédé Gogovor, Roberta de Carvalho Corôa, Tatiana Mossus, Coumba Gueye, Eliane Chaves Vianna, Monica Vieira, Babacar Mbaye Diop, Thierry Belleguic, Yves Tremblay, Farida Eunice Louré, Sabrina Guay-Bélanger, France Légaré, ENGAGEEs Group

JMIR Res Protoc 2025;14:e78618


Efficacy and Safety of a Digital Tapering Intervention for Patients Prescribed Opioids After Surgery: Protocol for a Prospective Exploratory Cohort Study

Efficacy and Safety of a Digital Tapering Intervention for Patients Prescribed Opioids After Surgery: Protocol for a Prospective Exploratory Cohort Study

A comparison group will be included in the study. This group will be composed of all patients who undergo hip or knee replacement surgery in Iceland and who receive usual care during the same period as the intervention (eg, from approximately November 2024 to April 2025).

Bergdís Elsa Hjaltadottir, Anna Bryndís Blöndal, Prescriby LLC Team, Orthopedics Department Group, SÁÁ group

JMIR Res Protoc 2025;14:e72317


Comparing the Effectiveness of Multimodal Learning Using Computer-Based and Immersive Virtual Reality Simulation–Based Interprofessional Education With Co-Debriefing, Medical Movies, and Massive Online Open Courses for Mitigating Stress and Long-Term Burnout in Medical Training: Quasi-Experimental Study

Comparing the Effectiveness of Multimodal Learning Using Computer-Based and Immersive Virtual Reality Simulation–Based Interprofessional Education With Co-Debriefing, Medical Movies, and Massive Online Open Courses for Mitigating Stress and Long-Term Burnout in Medical Training: Quasi-Experimental Study

Group B scored higher than Group A, but the mean difference was not statistically significant (mean difference –0.69; P=.21). Similarly, Group C had nonsignificantly higher scores than Group A (mean difference –0.38; P=.49) and nonsignificantly lower scores than Group B (mean difference 0.31; P=.57). See Figure 4, Table S3 in Multimedia Appendix 7, Table S4 in Multimedia Appendix 8, and Figure S1 in Multimedia Appendix 9.

Sirikanyawan Srikasem, Sunisa Seephom, Atthaphon Viriyopase, Phanupong Phutrakool, Sirhavich Khowinthaseth, Khuansiri Narajeenron, ER-VIPE Study Group

JMIR Med Educ 2025;11:e70726


Generative Artificial Intelligence Tools in Medical Research (GAMER): Protocol for a Scoping Review and Development of Reporting Guidelines

Generative Artificial Intelligence Tools in Medical Research (GAMER): Protocol for a Scoping Review and Development of Reporting Guidelines

The first stage is the preparatory phase, involving the formation of an expert group, collection of initial items, and discussion of these items. The second stage primarily includes 1 to 2 rounds of Delphi survey and online, face-to-face discussions, as well as multiple rounds of optimizing items. The third stage involves the publication of the checklist, as well as testing, dissemination, and promotion of the GAMER reporting guidelines.

Xufei Luo, Yih Chung Tham, Mohammad Daher, Zhaoxiang Bian, Yaolong Chen, Janne Estill, GAMER Working Group

JMIR Res Protoc 2025;14:e64640


Establishing a Multicenter Active Adverse Events Following Immunization Sentinel Surveillance Network Across 22 Tertiary Care Hospitals in India: Protocol for a Prospective Observational Study

Establishing a Multicenter Active Adverse Events Following Immunization Sentinel Surveillance Network Across 22 Tertiary Care Hospitals in India: Protocol for a Prospective Observational Study

A technical advisory group (TAG)—comprising representatives from the Immunization Division, Ministry of Health and Family Welfare, and the national AEFI committee (n=2), along with an interdisciplinary team of pediatricians (n=4), epidemiologists (n=4), statisticians (n=3), and pharmacovigilance experts (n=3)—provided technical guidance throughout all stages of project implementation. We identified potential sites for inclusion in the network through a systematic, multistage process.

Apoorva Sharan, Manoja Kumar Das, Akhil PM, Ramesh Poluru, Neeraj Kumar Kashyap, Christian Burri, Jan Bonhoeffer, Satinder Aneja, Deepak Polpakara, Narendra Kumar Arora, MAASS Study Group

JMIR Res Protoc 2025;14:e64050


Use of Naltrexone for Patients With Stimulant Use Disorder in Malaysia: Protocol for a Retrospective Cohort Study

Use of Naltrexone for Patients With Stimulant Use Disorder in Malaysia: Protocol for a Retrospective Cohort Study

The sample size calculation for the non-St UD group referred to a previous study that indicated a 0.23 probability for stimulant abstinence among non-St UD patients treated with a placebo and 0.17 for non-St UD patients treated without naltrexone [11]. A similar formula, accounting for type 1 error probability and 20% incomplete or missing data, was used for the calculation.

Nor Asiah Muhamad, Nur Hasnah Ma'amor, Muhammad Arif Muhamad Rasat, Tengku Puteri Nadiah Tengku Baharudin Shah, 'Izzah 'Athirah Rosli, Fatin Norhasny Leman, Nurul Hidayah Jamalluddin, Nurul Syazwani Misnan, Norliza Chemi, Norni Abdullah, Nurashikin Ibrahim, My Addiction Study group

JMIR Res Protoc 2025;14:e64101


Using Linked Health Service Data in Multimodal Modeling of Kidney Transplant Waitlist Outcomes: Protocol for the Maximizing Organ Donor Utility Systemwide (MODUS) Study

Using Linked Health Service Data in Multimodal Modeling of Kidney Transplant Waitlist Outcomes: Protocol for the Maximizing Organ Donor Utility Systemwide (MODUS) Study

The algorithm stratifies matches by blood group and balances the time spent waiting with the degree of donor-recipient matching nationally and by state of donor origin to generate a list of potential donor-recipient pairs in ranked order. In Australia, the time spent waiting is measured from initiation of dialysis to account for delays in reaching the active waiting list due to medical issues or delayed transplant suitability assessment and to ensure the sense of fairness prioritized by consumers [7,8].

Brenda Maria Rosales, Karan Shah, Nicole De La Mata, Heather Baldwin, James Hedley, Philip Clayton, Melanie Wyld, Patrick Kelly, Kate Wyburn, Rachael Morton, Angela Webster, MODUS Study Group

JMIR Res Protoc 2025;14:e67588


Influenza Vaccination Coverage and Determinants of New Vaccinations During the COVID-19 Pandemic in Spain (ENE-COVID): Nationwide Population-Based Study

Influenza Vaccination Coverage and Determinants of New Vaccinations During the COVID-19 Pandemic in Spain (ENE-COVID): Nationwide Population-Based Study

Lastly, to assess potential effect modifications of prespecified characteristics on new vaccination by target group, we included target group-by-covariate interactions in logistic models and estimated standardized prevalence ratios (SPR) within each target group. We tested for homogeneity using Wald tests.

Miguel Ángel de la Cámara, Nerea Fernández de Larrea-Baz, Roberto Pastor-Barriuso, Amparo Larrauri, Pablo Fernández-Navarro, Marina Pollán, Beatriz Pérez-Gómez, ENE-COVID Study Group

JMIR Public Health Surveill 2025;11:e60658