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Skip search results from other journals and go to results- 61 JMIR Research Protocols
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In medical and psychological research, generating valid study results by collecting data from large representative samples is essential [13]. For many research teams, recruiting the number of participants needed on time and within budget limitations becomes a major challenge [14]. Over 80% of trials worldwide fail to complete patient recruitment within the initially planned time frame, with insufficient case numbers being the primary reason for discontinuing 55% of all studies [15].
JMIR Ment Health 2025;12:e65920
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Patients in the intervention group filled in the Physical Activity Readiness Questionnaire (PAR-Q) before starting the intervention to determine whether they could safely perform physical activity [16,17]. Patients who were scheduled to receive instructions on increasing physical activity and muscle strengthening through the app were contacted by a member of the research team when answering yes to one or more questions in the PAR-Q.
JMIR Mhealth Uhealth 2025;13:e58703
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Specific digital interventions include a tablet app for patients with schizophrenia, designed to assess and record satisfaction with life and treatment domains, facilitating discussions between patients and nurses [45]. Another tablet app addresses concerns raised by patients with psychosis, providing methods for clinicians and patients to collaboratively explore and manage issues [46].
JMIR Hum Factors 2025;12:e67659
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Therefore, this dataset is adequate to answer the research questions.
Missing data analysis was conducted, and variables with more than 30% missing values were excluded to enhance model robustness. Missing data were imputed using Multivariate Imputation by Chained Equations. See Multimedia Appendix 1 for details on the percentage of missing data for each variable before imputation.
JMIR Cardio 2025;9:e68066
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Because of the different modes of administration of these treatments, each group receives both an injection and oral tablets. The study therefore comprises three arms: (1) a “toxin” group treated with an injection of botulinum toxin and placebo oral baclofen; (2) a “baclofen” group treated with oral baclofen and an injection of placebo botulinum toxin; and (3) a double “placebo” group treated with placebo oral baclofen and an injection of placebo botulinum toxin.
JMIR Res Protoc 2025;14:e62951
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Data collection was conducted using the REDCap (Research Electronic Data Capture) database, and all information was anonymously recorded. All data collected and analyzed in this study were fully anonymized prior to use. No personally identifiable information was retained or included in any part of the dataset. The research team implemented strict data management procedures to ensure participant confidentiality throughout the study, in compliance with ethical and legal standards.
J Med Internet Res 2025;27:e68434
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The purpose of this 1-year feasibility study was to work with a community engagement group to develop and test the implementation of a VR HMD exergaming program for children with special needs at a high school. The overall purpose of this study was to identify a replicable protocol that could be implemented within the daily operations of a high school through the following research questions:
How much exercise can students feasibly fit within a school-based program?
JMIR Form Res 2025;9:e65801
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Smartphone data collection offers enhanced research and clinical care capabilities, notably with electronic patient-reported Outcomes (e PROs) [5]. Such integration aims to optimize the quality of patient care and facilitate effective communication between health care professionals and their patients.
JMIR Hum Factors 2025;12:e58095
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After deciding on the topic of research, we identified the steps to be taken for the literature review as follows:
Search criteria
Literature assembly
Study selection
Research questions
Inclusion and exclusion criteria
Full-text paper assessment
Numerous studies have conducted literature reviews to assess the use of machine learning for disease prediction.
JMIR AI 2025;4:e59094
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