Evaluation of a clinical decision support tool for matching cancer patients to clinical trials using simulation-based research
File(s)
Published version (online)
Author(s)
Type
Journal Article
Abstract
There is a growing need for alternative methodologies to evaluate digital health solutions in a short timeframe and at relatively low cost. Simulation-based research (SBR) methods have been proposed as an alternative methodology for evaluating digital health solutions; however, few studies have described the applicability of SBR methods to evaluate such solutions. This study used SBR to evaluate the feasibility and user experience of a clinical decision support (CDS) tool used for matching cancer patients to clinical trials. Twenty-five clinicians and research staff were recruited to match 10 synthetic patient cases to clinical trials using both the CDS tool and publicly available online trial databases. Participants were significantly more likely to report having sufficient time (p = 0.020) and to require less mental effort (p = 0.001) to complete trial matching with the CDS tool. Participants required less time for trial matching using the CDS tool, but the difference was not significant (p = 0.093). Most participants reported that they had sufficient guidance to participate in the simulations (96%). This study demonstrates the use of SBR methods is a feasible approach to evaluate digital health solutions and to collect valuable user feedback without the need for implementation in clinical practice. Further research is required to demonstrate the feasibility of using SBR to conduct remote evaluations of digital health solutions.
Date Issued
2022-04-22
Date Acceptance
2022-02-22
Citation
Health Informatics Journal, 2022, 28 (2)
ISSN
1460-4582
Publisher
SAGE Publications
Journal / Book Title
Health Informatics Journal
Volume
28
Issue
2
Copyright Statement
© The Author(s) 2022. Creative Commons CC BY: This article is distributed under the terms of the Creative
Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which
permits any use, reproduction and distribution of the work without further permission provided the
original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/
open-access-at-sage).
Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which
permits any use, reproduction and distribution of the work without further permission provided the
original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/
open-access-at-sage).
License URL
Sponsor
F.Hoffmann-La Roche AG
Identifier
https://journals.sagepub.com/doi/10.1177/14604582221087890
Grant Number
EPBA2419175-A45
Subjects
Science & Technology
Life Sciences & Biomedicine
Health Care Sciences & Services
Medical Informatics
Digital health
simulation-based research
evidence generation
clinical decision support tools
DIGITAL HEALTH INTERVENTIONS
PARADIGMS
TRANSLATION
PERFORMANCE
PSYTOOLKIT
Digital health
clinical decision support tools
evidence generation
simulation-based research
Clinical Trials as Topic
Computer Simulation
Decision Support Systems, Clinical
Humans
Neoplasms
Humans
Neoplasms
Computer Simulation
Decision Support Systems, Clinical
Clinical Trials as Topic
Medical Informatics
0806 Information Systems
0807 Library and Information Studies
Publication Status
Published online
Date Publish Online
2022-04-22