JMIR Research Protocols最新文献

{"title":"Evaluating the Efficacy of Marma Therapy for Pain in Lumbar Disc Herniation With Radiculopathy: Protocol for a Randomized Controlled Trial.","authors":"Pallavi Mundada, Sunil Kumar Joshi, Shruti Khanduri, Tarun Kumar, Varsha Saxena, Disha Garg, Vinod Kumar Lavaniya, Rakesh Narayanan V, Bidhan Mahajon, Bhogavalli Chandra Sekhara Rao, Narayanam Srikanth","doi":"10.2196/85720","DOIUrl":"https://doi.org/10.2196/85720","url":null,"abstract":"<p><strong>Background: </strong>Marma therapy, a traditional Ayurvedic practice, involves the precise stimulation of marmas (vital points that regulate prana [vital energy]) and alleviates musculoskeletal pain and dysfunction. While historical texts describe marma's role in pain relief, no randomized controlled trials have evaluated its efficacy and safety in lumbar disc herniation (LDH)-related radiculopathy.</p><p><strong>Objective: </strong>This study aims to explore the efficacy and safety of marma therapy in a commonly occurring painful condition, namely, radiculopathy due to LDH.</p><p><strong>Methods: </strong>Selected patients with LDH and radiculopathy are randomized into 2 groups using a computer-generated random number sequence. The participants in group 1 (the trial arm) are treated with marma therapy for 4 weeks, and those in group 2 (the control arm) receive physiotherapy for 4 weeks. All the participants in both groups are given an oral medicine, trayodashanga guggulu, an Ayurvedic formulation, for 12 weeks.</p><p><strong>Results: </strong>As of November 2025, a total of 90 patients have been enrolled in both groups. Data analysis is ongoing. The study will be reported following standard guidelines for reporting randomized controlled trials. Clinical trial results will be disseminated through conferences and publication in a peer-reviewed scientific journal.</p><p><strong>Conclusions: </strong>Marma therapy, if proven effective and safe in pain management, can improve the quality of life of patients with LDH. This protocol can be useful in designing large-scale studies to establish this noninvasive and safe treatment as an alternative modality for the management of neurological pain, such as radiculopathy.</p>","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e85720"},"PeriodicalIF":1.5,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13138787/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147838119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of Remotely Supervised Home-Based High-Speed Bodyweight Resistance Training on Bradykinesia in Individuals With Parkinson Disease: Protocol for a Randomized Controlled Trial.","authors":"Poliana do Amaral Yamaguchi Benfica, Aline Alvim Scianni, Carolina Luisa de Almeida Soares, Isabel Lopes Ribeiro, Pedro Vitor Casado, Christina Danielli Coelho de Morais Faria","doi":"10.2196/84689","DOIUrl":"https://doi.org/10.2196/84689","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Exercises that involve increasing the speed of movements are beneficial for individuals with Parkinson disease (PD) and have the potential to reduce bradykinesia. High-speed bodyweight resistance training is accessible and versatile and can be performed anytime and anywhere, including at home. Furthermore, it is important to consider home exercises that enable treatment continuity and reduce barriers such as transportation difficulties and participation in physical exercise programs. However, we have not identified any studies that have conducted home-based high-speed bodyweight resistance training in individuals with PD.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This protocol aims to investigate the effects of remotely supervised home-based high-speed bodyweight resistance training in reducing bradykinesia and improving mobility, muscle power, dynamic balance, and quality of life in individuals with PD.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A randomized controlled trial will be performed with 1:1 allocation, blinded assessments, and an intention-to-treat analysis. Altogether, 46 individuals with PD, aged ≥50 years, who have bradykinesia and a sedentary or insufficiently active lifestyle, will be included. Participants will be randomly assigned to either (1) an experimental group (high-speed bodyweight resistance training) or (2) a control group (bodyweight intervention; usual speed). Both groups will perform a home-based, remotely supervised intervention, consisting of 60-minute individual sessions, 3 times per week over 12 weeks, with a trained physiotherapist. The primary outcome is bradykinesia of the lower limbs. The secondary outcomes are mobility, muscle power, dynamic balance, and quality of life. The effects of the training will be analyzed from the collected data by using the intention-to-treat analysis. Between-group differences will be measured by 2-way repeated measures ANOVA, considering the baseline, posttraining follow-up (primary time point), and 4-week follow-up (secondary time point).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Recruitment was conducted from October 2024 to October 2025 (n=46). Data collection is currently in the follow-up phase. The results are expected to be analyzed and submitted for publication by May 2026.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;The results of this trial will likely provide valuable new information on the effects of remotely supervised home-based high-speed bodyweight resistance training in reducing bradykinesia and improving mobility, muscle power, dynamic balance, and quality of life in individuals with PD. If confirmed, these findings may support the feasibility and effectiveness of an accessible home-based intervention delivered through telerehabilitation, potentially reducing barriers to rehabilitation.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Trial registration: &lt;/strong&gt;ClinicalTrials.gov NCT06646523; https://clinicaltrials.gov/study/NCT06646523.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;International registered report identifier (irr","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e84689"},"PeriodicalIF":1.5,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147838132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of a Personalized, High-Dose, Intensive Motor Rehabilitation Program, Integrating Advanced Technology for Adults With Central Neurological Conditions (INTeRAcT): Protocol for a Single-Blind Randomized Controlled Trial With a Clinical, Health Economic, and Process Evaluation.","authors":"Marjan Coremans, Ingue Allewijn, Filiep Bataillie, Laure De Bruyn, Maaike Fobelets, Femke Jacobs, Sienke Janssens, Laura Pattyn, Koen Putman, Agaat Schiltz, Lisa Tedesco Triccas, Floris Van Thienen, Geert Verheyden","doi":"10.2196/93234","DOIUrl":"10.2196/93234","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Chronic stroke and spinal cord injury (SCI) lead to persistent motor impairments that reduce independence and quality of life. Although rehabilitation is essential to address these challenges, the amount of therapy provided during the chronic phase remains limited, while the long-term costs of care are substantial.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;The INTeRAcT (Intensive Rehabilitation Programme Integrating Advanced Technology) trial investigates a high-dose, intensive-targeted, and personalized rehabilitation program through an integrated clinical, health economic, and process evaluation.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;This single-blind randomized controlled trial will include 100 adults in the chronic phase after stroke or SCI. Participants will be randomized to either the INTeRAcT intervention group (n=50) or a control group receiving usual care (n=50). The intervention group will receive 90 hours of personalized motor rehabilitation over 3 weeks, including upper and lower limb therapy, with and without technology, cardiovascular fitness training, and self-management education. Both groups then resume usual care and are followed for 9 months. Clinical assessments are performed at baseline (T0), after 3 weeks (T1, postintervention), and after 9-months follow-up (T2) by a blinded assessor. The primary outcome is independence in daily life, assessed using the Functional Independence Measure for stroke and the Spinal Cord Independence Measure for SCI. Secondary outcomes include the EQ-5D-5L, Canadian Occupational Performance Measure, Goal Attainment Scaling, Fatigue Severity Scale, and stroke-specific measures such as the Action Research Arm Test, Fugl-Meyer Assessment, 6-Minute and 10-Meter Walk-Test, and the Stroke Self-Efficacy Questionnaire. Group differences in clinical change will be analyzed using multivariate linear models. Health economic data will be collected using diaries and questionnaires, capturing direct and indirect costs. Cost-effectiveness will be assessed through a trial-based cost-utility analysis over 9 months and a Markov model over a lifetime horizon. The process evaluation follows the UK Medical Research Council framework, using mixed methods with quantitative and qualitative data from diaries, interviews, and observations, analyzed descriptively and thematically.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The funding of the project started in February 2023. Protocol version 5 (accepted March 15, 2024). Participant recruitment occurred between June 2023 and September 2024, with a total of 102 participants enrolled. Data collection ended in July 2025. Data analysis is ongoing.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;This protocol outlines a randomized controlled trial integrating clinical, health economic, and process evaluations to assess a high-dose, individualized rehabilitation program. The findings will provide evidence on effectiveness, cost-effectiveness, and implementation feasibility in chronic s","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e93234"},"PeriodicalIF":1.5,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13151458/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147838116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sexual Well-Being of Young People in Times of Widespread Pornography Use: Protocol for a Multidisciplinary Research Framework.","authors":"Gunter De Win, Guido Van Hal, Michel Walrave, Joris Van Ouytsel, Koen Ponnet, Alexis Dewaele, Erick Janssen, Gily Coene, Kristien Michielsen, Sam Geuens, Inge Glazemakers","doi":"10.2196/80058","DOIUrl":"https://doi.org/10.2196/80058","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Since the rise of freely accessible pornographic streaming websites, pornography consumption has become widespread and normative worldwide. In Flanders, early exposure-before age 13-has tripled over the past decade, and frequent use, particularly among young men, is common. While pornography consumption may support body satisfaction, self-exploration, and self-esteem, evidence on its effects on sexual development and sexual well-being remains limited. Public debates are polarized, swinging between moral panic and denial of potential risks. Care providers and helplines increasingly report young people struggling with pornography-related concerns, such as self-perceived porn-induced sexual dysfunctions. Adolescents and young adults from diverse backgrounds express a clear need for guidance in navigating sexually explicit media, particularly when communication with parents, teachers, or health care providers is difficult.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;This project aims to generate evidence-based insights into the complex relationships between pornography consumption, sexual development, and sexual well-being among young people. By producing actionable knowledge, it seeks to inform education, prevention, and care practices that help adolescents and young adults navigate sexually explicit media in ways that promote healthy and inclusive sexual well-being within Flanders' ethnically and sexually diverse society.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;The project consists of four interconnected work packages: (1) examining pornography in relation to societal norms and inequalities, (2) exploring pornography within family-based sexual development, (3) investigating pornography's role in health care contexts, and (4) developing evidence-based pornography literacy tools for education and prevention. A mixed methods approach will combine systematic scoping reviews, a nationally representative survey, laboratory studies, qualitative interviews and focus groups, and co-creation with key societal stakeholders.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The project received funding from Research Foundation - Flanders in 2024, and researchers were appointed between September and November 2024. Scoping reviews began in January 2025 and concluded in October 2025. A large-scale survey will be conducted between January and March 2026, followed by subsequent stages of analysis, dissemination, and valorization, concluding in 2028.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;Although empirical results are not yet available, the project will deliver new evidence on how pornography consumption shapes sexual development and sexual well-being across diverse contexts. It will produce practical outputs for education, health care, and policy, and contribute to reducing stigma and misinformation around pornography use. By addressing pornography as a multifaceted social and sexual phenomenon, this multidisciplinary research will advance scientific understanding and pr","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e80058"},"PeriodicalIF":1.5,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13138793/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147838130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the Implementation and Impact of AI-Assisted Fall Prevention in Hospitals: Protocol for a Multicenter, Multimethod Observational Study in Sweden (SAFE).","authors":"Elin Siira, Anna Gyberg, Ingrid Larsson, Marcus Rosenburg, Petra Svedberg, Kerstin Ulin, Helle Wijk, Thomas Brezicka, Malin Hansson, Jenny Hallgren, Jens Nygren","doi":"10.2196/84294","DOIUrl":"https://doi.org/10.2196/84294","url":null,"abstract":"<p><strong>Background: </strong>Artificial intelligence (AI) has the potential to enhance patient safety, particularly in the prevention of in-hospital falls. Recent advances in sensor-based AI systems allow for the analysis of complex, multimodal data to generate real-time alerts, enabling health care professionals to intervene before a fall occurs. By shifting from reactive responses to proactive risk management, these technologies may enable reductions in fall incidence and improvements in care outcomes. As a result, hospitals across Europe are increasingly adopting such systems. Nevertheless, empirical evidence concerning their routine implementation remains limited, particularly concerning their impact on patient safety, clinical workflows, and the usage of health care resources. Addressing these gaps is essential for effective and sustainable integration into hospital care.</p><p><strong>Objective: </strong>This paper outlines the protocol for the multicenter, multimethod project SAFE (Safe AI-Assisted Fall Prevention Through Evidence), which investigates the implementation and impact of AI-assisted fall prevention in Swedish hospitals.</p><p><strong>Methods: </strong>The research project is a collaboration between Halmstad University and hospitals in the Västra Götaland Region (VGR) and will, during 2026-2028, investigate an ongoing large-scale AI system implementation in VGR hospitals, covering up to 2400 patient beds. Using surveys, interviews, observations, and a retrospective study, it will track the implementation and impact over time. Two learning laboratories involving patients, their relatives, and health care professionals will be conducted to codevelop strategies for the implementation of AI-assisted fall prevention.</p><p><strong>Results: </strong>The project will provide evidence-based insights and practical guidance on AI-assisted fall prevention. The findings will be relevant not only to patients, health care professionals, and hospital organizations, but also to policymakers and stakeholders involved in the digital transformation of health care.</p><p><strong>Conclusions: </strong>Although VGR serves as the primary research setting, the project's results will inform future similar initiatives in Sweden and offer transferable lessons for other health care systems internationally. This study will contribute to the evidence base on AI-assisted fall prevention in health care, supporting the responsible and scalable integration of such systems across diverse health care environments.</p>","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e84294"},"PeriodicalIF":1.5,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13138714/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147838101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine Learning Prediction and Reducing Overdoses With Electronic Health Record Nudges (mPROVEN) in the Primary Care Setting: Protocol for a Cluster Randomized Controlled Trial.","authors":"Walid F Gellad, Yi-Fan Chen, Tae Woo Park, Qingnan Yang, Jonathan D Arnold, Courtney C Kuza, Stephanie N Fedro-Byrom, Julie Diiulio, Laura G Militello, Michelle Whitlock, Eugene M Sadhu, Shyam Visweswaran, Michael J Fine, Kaleab Z Abebe, Katie J Suda, Wei-Hsuan Lo-Ciganic","doi":"10.2196/94007","DOIUrl":"https://doi.org/10.2196/94007","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Opioid overdose remains a leading cause of preventable death in the United States. Existing approaches to identify individuals at elevated risk rely on imprecise rule-based criteria that misclassify patients' risk of this serious health outcome. Machine learning (ML) algorithms can help improve prediction performance and can be combined with electronic health record (EHR) interventions to reduce overdose risk.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;The Machine Learning Prediction and Reducing Overdoses With EHR Nudges (mPROVEN) clinical trial integrates a validated ML overdose risk model with behavioral economics-informed EHR nudges to test whether the combination improves evidence-based prescribing behaviors associated with lower overdose risk and, ultimately, reduces overdose among elevated-risk patients.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;mPROVEN is a pragmatic cluster randomized controlled trial conducted in primary care practices within a large multistate integrated health system. Eligible patients are adults (≥18 years) identified by the ML algorithm as having elevated overdose risk and seen at a primary care visit during the study period. Primary care practices serve as the unit of randomization and will be randomized into three arms: (1) usual care; (2) elevated risk flag only, where clinicians see a noninterruptive EHR flag indicating elevated overdose risk; and (3) elevated risk flag + nudges, in which active choice and accountable justification alerts are embedded within the EHR in addition to the elevated risk flag. The trial will enroll a target cohort of 800 patients for the primary analysis. The intervention period is 4 months (or until the study ends, whichever occurs later). The primary outcome is a 3‑point composite measure of safer opioid prescribing at 4 months, awarding 1 point each for active naloxone prescription, average opioid dosage of 50 morphine milligram equivalents per day or less, and absence of opioid-benzodiazepine overlap. Secondary outcomes include the composite outcome at 6 months, individual score components, and all-cause and overdose-specific emergency department or inpatient visits. Outcomes will be compared across study arms using an intention‑to‑treat approach with linear mixed‑effects models accounting for clinic-level clustering.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Funded by the National Institutes of Health, in June 2022, enrollment began on March 10, 2025. Enrollment for the primary analysis cohort (n=798) was completed in May 2025 with additional participants enrolled for secondary analyses through December 2025 (n=1662). Primary cohort analyses began in January 2026, and results are expected by mid-2027.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;The mPROVEN study is among the first pragmatic randomized controlled trials to integrate ML‑based opioid overdose risk prediction with behavioral nudges within a large health system EHR. By combining advances in data science and behavioral econ","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e94007"},"PeriodicalIF":1.5,"publicationDate":"2026-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147815044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Authors' Reply: Aligning Noninferiority Assumptions and Decision Rules in a Protocol for a Study on Adjunctive Acupuncture for Late-Life Depression.","authors":"Qingnan Fu, Kaihui Xiao, Jie Zhang, Yang Li, Yuxian Wang, Molin Jiang, Zengqi Man, Jing Yang, Wei Lu","doi":"10.2196/94790","DOIUrl":"https://doi.org/10.2196/94790","url":null,"abstract":"","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e94790"},"PeriodicalIF":1.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13133981/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147814734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Examining Compassionate Workplace Interventions for Employees Navigating Serious Illness, Caregiving, Death, or Bereavement: Protocol for a Scoping Review.","authors":"Katie McGuinness, Karen Carr, Felicity Hasson, Esther Ruth Beck, Paul Slater","doi":"10.2196/82831","DOIUrl":"https://doi.org/10.2196/82831","url":null,"abstract":"<p><strong>Background: </strong>Globally, researchers have documented an emergence of public health approaches within palliative care, leading to the development of compassionate communities, a movement that seeks to build community capacity to support individuals at the end of life and those affected by death and loss. Compassionate communities emphasize a social model of care that complements formal palliative services by reducing suffering, enhancing well-being, and empowering community members through collective action. The Compassionate City Charter broadens this scope to include civic institutions, outlining recommendations for adoption within workplaces and educational settings. However, empirical evidence examining the adoption of compassionate practices within workplace contexts remains limited.</p><p><strong>Objective: </strong>This study aims to systematically map and explore international evidence regarding compassionate workplace interventions for employees in a workplace or organizational setting who are experiencing serious illness or are affected by caregiving, death, or bereavement.</p><p><strong>Methods: </strong>The Joanna Briggs Institute (JBI) framework will guide this review to systematically search and locate published articles reporting primary research. The following five stages will be conducted: (1) research question and objectives development; (2) search strategy development; (3) study and gray literature search and selection across 7 databases, including CINAHL Ultimate (EBSCO), Scopus, PsycINFO (OVID), Web of Science, ABI/INFORM (ProQuest), Business Source Ultimate (EBSCO), and MEDLINE (ProQuest); (4) data extraction and charting; and (5) data analysis and presentation. The JBI 3-step strategy will be applied to determine the search method and article selection. Articles will be assessed for inclusion by two reviewers independently and included if they describe a compassionate approach to supporting employees navigating serious illness, caregiving, grief, or bereavement. The review will use the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines to present the results.</p><p><strong>Results: </strong>Data collection for this scoping review was conducted between July and August 2025. The extracted data are currently being organized and analyzed, with submission of the final manuscript anticipated in May 2026.</p><p><strong>Conclusions: </strong>This protocol outlines a scoping review that will represent the first comprehensive review to explore the international evidence on compassionate workplace interventions for employees navigating serious illness, caregiving, death, or bereavement.</p>","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e82831"},"PeriodicalIF":1.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13134823/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147815103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pediatric Oncology Knowledge Mobilization in Canada: Protocol for an Environmental Scan.","authors":"Emily K Drake, Catherine Foulem, Ekaterini Damoulianos, Stephanie Reid, Patrick Cossette, Michel Duval, Kirsten Efremov, James Foster, Karen Haas, Argerie Tsimicalis","doi":"10.2196/76787","DOIUrl":"https://doi.org/10.2196/76787","url":null,"abstract":"<p><strong>Background: </strong>Nonprofit organizations that serve the pediatric oncology community play a crucial role in disseminating quality information that can inform and support people living with childhood cancer, those that work in the field, and others who make key decisions or policies. These registered organizations can be challenging to locate, as the internet is flux with information and resources of varying quality, misinformation, and disinformation. There remains limited understanding of the knowledge mobilization landscape of these organizations in Canada.</p><p><strong>Objective: </strong>This study will provide an overview of the pediatric oncology nonprofit organizational landscape and describe their knowledge mobilization efforts related to dissemination, highlighting existing strengths, gaps, and novel opportunities to strengthen and unite efforts.</p><p><strong>Methods: </strong>A novel environmental scan methodology will be employed to search government and nonprofit organizations' databases. Independent reviewers will screen the websites of eligible organizations. Extracted data will be descriptively analyzed, geographically sorted, and presented in a tabular form with accompanying narrative.</p><p><strong>Results: </strong>This project received funding in 2024. We anticipate that preliminary results will be available by summer 2025. The search strategy for this study will be completed in the spring of 2025. One key project milestone for this environmental scan includes sharing drafts of the results from this strategy through expert consultations in the spring of 2025. After this milestone, a full set of preliminary results will be available by summer 2025, and the final manuscript will be submitted in fall 2025.</p><p><strong>Conclusions: </strong>The environmental scan will explicate each step of our method to allow others the opportunity to garner understanding from our learnings. Findings will be disseminated to the broader community via social media, directly to the pediatric oncology network in Canada, and globally, through summaries, infographics, presentations, and traditional academic outputs. By doing so, the pediatric oncology community will have information pertinent to navigating these resources, and further steps can be devised to bolster the knowledge mobilization capacity in Canada.</p><p><strong>International registered report identifier (irrid): </strong>DERR1-10.2196/76787.</p>","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e76787"},"PeriodicalIF":1.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147815298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aligning Noninferiority Assumptions and Decision Rules in a Protocol for a Study on Adjunctive Acupuncture for Late-Life Depression.","authors":"Kenjiro Shiraishi","doi":"10.2196/92775","DOIUrl":"https://doi.org/10.2196/92775","url":null,"abstract":"","PeriodicalId":14755,"journal":{"name":"JMIR Research Protocols","volume":"15 ","pages":"e92775"},"PeriodicalIF":1.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13133982/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147814407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}