Background: Careful consideration of intervention fidelity is critical to establishing the validity and reliability of research findings, yet such reports are often lacking in the research literature. It is imperative that intervention fidelity be methodically evaluated and reported to promote the translation of effective interventions into sound evidence-based practice.
Purpose: The purpose of this article is to explore strategies used to promote intervention fidelity, incorporating examples from a multisite clinical trial, that illustrate the National Institutes of Health Behavior Change Consortium's 5 domains for recommended treatment practices: (1) study design, (2) facilitator training, (3) intervention delivery, (4) intervention receipt, and (5) intervention enactment. A multisite randomized clinical trial testing the efficacy of a computer-assisted cognitive rehabilitation intervention for adults with multiple sclerosis is used to illustrate strategies promoting intervention fidelity.
Methods: Data derived from audiotapes of intervention classes, audits of computer exercises completed by participants, participant class attendance, and goal attainment scaling suggested relatively high fidelity to the intervention protocol.
Conclusion: This study illustrates how to report intervention fidelity in the literature guided by best practice strategies, which may serve to promote fidelity monitoring and reporting in future studies.
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http://dx.doi.org/10.1097/JNN.0000000000000315 | DOI Listing |
Sci Rep
January 2025
Civil and Environmental Engineering Department, Khalifa University, Abu Dhabi, UAE.
Estimating spatiotemporal maps of greenhouse gases (GHGs) is important for understanding climate change and developing mitigation strategies. However, current methods face challenges, including the coarse resolution of numerical models, and gaps in satellite data, making it essential to improve the spatiotemporal estimation of GHGs. This study aims to develop an advanced technique to produce high-fidelity (1 km) maps of CO and CH over the Arabian Peninsula, a highly vulnerable region to climate change.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Introduction: Ultrasound is important in heart diagnostics, yet implementing effective cardiac ultrasound requires training. While current strategies incorporate digital learning and ultrasound simulators, the effectiveness of these simulators for learning remains uncertain. This study evaluates the effectiveness of simulator-based versus human-based training in Focused Assessed with Transthoracic Echocardiography (FATE).
View Article and Find Full Text PDFMed Phys
January 2025
National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Background: Respiratory motion during radiotherapy (RT) may reduce the therapeutic effect and increase the dose received by organs at risk. This can be addressed by real-time tracking, where respiration motion prediction is currently required to compensate for system latency in RT systems. Notably, for the prediction of future images in image-guided adaptive RT systems, the use of deep learning has been considered.
View Article and Find Full Text PDFIndian Pediatr
January 2025
Department of Neonatology, St John's Medical College Hospital, Bangalore, Karnataka, India.
Introduction: Neonatal intensive care unit (NICU) graduates are at risk of sudden death at home after discharge. Many of these deaths can be prevented if parents can identify warning signs and provide immediate resuscitation.
Objectives: The primary objective of this study was to assess the feasibility of training parents of high-risk neonates in low- and middle-income countries (LMICs) to deliver infant resuscitation effectively.
Implement Sci Commun
January 2025
Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, IL, Chicago, USA.
Background: Studies have demonstrated that standardizing labor induction (IOL), often with the use of protocols, may reduce racial inequities in obstetrics. IOL protocols are complex, multi-component interventions. To target identified implementation barriers, audit and feedback (A&F) was selected as an implementation strategy.
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