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Related Experiment Video

Updated: May 29, 2026

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

Published on: February 13, 2020

An intervention fidelity framework for technology-based behavioral interventions.

Annette Devito Dabbs¹, Mi-Kyung Song, Robert Hawkins

¹School of Nursing, University of Pittsburgh, Pennsylvania, USA. ajdst42@pitt.edu

Nursing Research

|September 1, 2011

Summary

This summary is machine-generated.

This study introduces a new framework for evaluating intervention fidelity in technology-based behavioral interventions, addressing a gap in current research. The proposed plan is practical for assessing technology delivery and user acceptance.

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Area of Science:

Health Technology Evaluation
Behavioral Intervention Science
Digital Health Implementation

Background:

Lack of specific guidance for evaluating intervention fidelity in technology-based behavioral interventions.
Existing methods for intervention fidelity assessment are challenged by novel health technologies.

Purpose of the Study:

Discuss challenges in conceptualizing and evaluating intervention fidelity for technology-based behavioral interventions.
Propose a novel intervention fidelity framework tailored for technology-based interventions.
Illustrate framework operationalization using a mobile health intervention (Pocket PATH) for post-lung transplant care.

Main Methods:

Literature review on intervention fidelity and technology acceptance.
Development of a conceptual framework for technology-based intervention fidelity.
Creation of an intervention fidelity monitoring plan as an exemplar.

Main Results:

The developed intervention fidelity monitoring plan is feasible and practical.
The plan effectively operationalizes key concepts, including interventionist delivery and participant technology acceptance.
Demonstrated utility in assessing fidelity for technology-based behavioral interventions.

Conclusions:

The proposed framework can guide the development of fidelity monitoring tools for diverse technology-based behavioral interventions.
Further research is needed to understand the role of technology acceptance in behavior change.
The framework has potential to enhance the adoption and effectiveness of digital health interventions.