Enhancing intervention fidelity: a means of strengthening study impact.

J Spec Pediatr Nurs

University of Texas at Austin, School of Nursing, Austin, TX, USA.

Published: April 2006

Purpose: Intervention studies that address the goals of the Healthy People initiative are increasing, and many focus on health concerns of children and adolescents. The purpose of this paper is to present strategies and discuss the rationale for including intervention fidelity in study design.

Conclusion: Researchers need to verify that their interventions were delivered as designed (intervention fidelity), and that variations from the design can be assessed. Infidelity can result in non-significant findings that are not due to the study design but rather to elements that affected the intervention delivery.

Implications: Addressing intervention fidelity in study design supports the researcher's conclusion about associations between intervention and outcomes and helps reduce premature abandonment of potentially useful interventions.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1474027PMC
http://dx.doi.org/10.1111/j.1744-6155.2006.00050.xDOI Listing

Publication Analysis

Top Keywords

intervention fidelity
16
fidelity study
8
study design
8
intervention
6
enhancing intervention
4
fidelity
4
fidelity strengthening
4
study
4
strengthening study
4
study impact
4

Similar Publications

Learning by making - student-made models and creative projects for medical education: systematic review with qualitative synthesis.

BMC Med Educ

January 2025

Department of Anatomy, Clinical Sciences Building, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308323, Singapore.

Study Objective: Student-centered learning and unconventional teaching modalities are gaining popularity in medical education. One notable approach involves engaging students in producing creative projects to complement the learning of preclinical topics. A systematic review was conducted to characterize the impact of creative project-based learning on metacognition and knowledge gains in medical students.

View Article and Find Full Text PDF

Background: People with malignancy of undefined primary origin (MUO) have a poor prognosis and may undergo a protracted diagnostic workup causing patient distress and high cancer related costs. Not having a primary diagnosis limits timely site-specific treatment and access to precision medicine. There is a need to improve the diagnostic process, and healthcare delivery and support for these patients.

View Article and Find Full Text PDF

Objective: To investigate the safety, feasibility and acceptability of the Neurofenix platform for upper-limb rehabilitation in acute and subacute stroke.

Design: A feasibility randomised controlled trial with a parallel process evaluation.

Setting: Acute Stroke Unit and participants' homes (London, UK).

View Article and Find Full Text PDF

Introduction: Lung cancer is the leading cause of cancer-related mortality globally, with non-small cell lung cancer (NSCLC) comprising the majority of cases. For advanced NSCLC, immunotherapy offers substantial survival benefits but is often accompanied by severe immune-related adverse events symptoms, significantly affecting health-related quality of life (HRQoL). Routinely collection of patient-reported outcomes (PROs) followed by automated alerts has been shown to improve overall survival and HRQoL for cancers.

View Article and Find Full Text PDF

Super-resolution (SR) neural networks transform low-resolution optical microscopy images into SR images. Application of single-image SR (SISR) methods to long-term imaging has not exploited the temporal dependencies between neighboring frames and has been subject to inference uncertainty that is difficult to quantify. Here, by building a large-scale fluorescence microscopy dataset and evaluating the propagation and alignment components of neural network models, we devise a deformable phase-space alignment (DPA) time-lapse image SR (TISR) neural network.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!