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Objective: Delivery is one of the most common ways of assessing fidelity in behavioral interventions. However, there is a lack of research reporting on how well an intervention protocol reflects its proposed theoretical principles (design fidelity). This study presents a systematic method for assessing design fidelity and applies it to the eMotion web-based intervention targeting physical activity and depression.
Method: The eMotion intervention comprises of 13 web-based modules, designed according to an underlying intervention map. An independent rater with expertise in behavior change coded the presence or absence of behavior change techniques (BCTs) in the content of eMotion. Results of coding were compared to the intervention designers' a priori specification for interrater reliability.
Results: After discussion, the independent rater and the intervention designer had a high agreement for the presence of BCTs relating to behavioral activation (AC1 = 0.91) with "demonstration of behavior" and "monitoring of emotional consequences" having the lowest agreement (AC1 < 0.4). There was also high agreement for the presence of BCTs targeting physical activity (AC1 = 0.88) with "demonstration of behavior" and "monitoring of emotional consequences" having the lowest agreement (AC1 < 0.4). The eMotion description was then amended to align the interrater agreement.
Conclusions: This study presents a novel method for assessing design fidelity. Developers of behavioral (and other multicomponent) interventions are encouraged to develop and refine this method and assess design fidelity in future interventions to ensure BCTs are operationalized as intended. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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http://dx.doi.org/10.1037/hea0001046 | DOI Listing |
Aerosp Med Hum Perform
September 2025
Introduction: This study investigated pilot cognitive engagement patterns across diverse flight conditions using electroencephalography (EEG)-based measurements in a high-fidelity rotary-wing simulation environment.
Methods: A total of 8 experienced U.S.
Cell Rep Methods
August 2025
Department of Biomedical Engineering and Computational Biology Program, OHSU, Portland, OR, USA; Knight Cancer Institute, OHSU, Portland, OR, USA. Electronic address:
We present UniFORM, a non-parametric, Python-based pipeline for normalizing multiplex tissue imaging (MTI) data at both the feature and pixel levels. UniFORM employs an automated rigid landmark registration method tailored to the distributional characteristics of MTI, with UniFORM operating without prior distributional assumptions and handling both unimodal and bimodal patterns. By aligning the biologically invariant negative populations, UniFORM removes technical variation while preserving tissue-specific expression patterns in positive populations.
View Article and Find Full Text PDFClin Rehabil
September 2025
Pritzker School of Medicine, University of Chicago, Chicago, IL, USA.
ObjectiveTo adapt and modify the successful SIESTA (Sleep for Inpatients: Empowering Staff to Act) sleep-promoting hospital protocol to an acute stroke rehabilitation setting.DesignThis study utilized a mixed methods design, involving qualitative surveys and interviews. Needs assessment and staff interviews informed the development of the adapted protocol, SIESTA-Rehab.
View Article and Find Full Text PDFJB JS Open Access
September 2025
Department of Orthopedics and Rehabilitation, University of Iowa, Iowa City, Iowa.
Introduction: Modern orthopaedic residency training increasingly integrates knowledge, skills, and behavior (KSB), in line with updated American Board of Orthopaedic Surgery (ABOS) and Accreditation Council for Graduate Medical Education (ACGME) guidelines. Developments in simulation technology-including high-fidelity simulators, virtual reality, and data-driven assessment tools-enable programs to target both technical and non-technical competencies. This paper examines how innovations in simulation, curriculum design, and performance assessment are shaping the future of orthopaedic education.
View Article and Find Full Text PDFProg Mol Biol Transl Sci
September 2025
Aiiso Yufeng Li Family Department of Chemical and Nanoengineering, University of California, San Diego, La Jolla, CA, United States. Electronic address:
Nano-electronics based neural implants represent a rapidly advancing interdisciplinary domain at the intersection of bioelectronics, nanotechnology, and neuro-engineering. These implantable systems are engineered to restore, modulate, or augment neural functions by establishing high-fidelity, long-term interfaces with neural tissues. The design of such implants necessitates careful consideration of both materials and structural configurations to ensure biocompatibility, mechanical compliance, electrical functionality, and chronic stability.
View Article and Find Full Text PDF