Generating a new outcome variable using mixed methods in a randomized controlled trial: The Caregiver Study– An advance care planning investigation
The use of mixed methods research in intervention trials mostly centers around using quantitative data to assess primary outcomes and qualitative data primarily for exploratory purposes, to supplement, and/or explain quantitative findings. We describe a novel mixed methods procedure that generates an integrated outcome variable used to reexamine unexpected findings that resulted from an advance care planning interventional randomized controlled trial. The integrated outcome variable helped explain apparent anomalies in study data that resulted from analyzing quantitative or qualitative data independently. The methodology outlined in this article provides a useful mixed methodological contribution by illustrating steps that may be taken by researchers seeking a more meaningful way to integrate qualitative and quantitative data to form intervention variables in trials.
Lauren Jodi Van Scoy et al, Generating a New Outcome Variable Using Mixed Methods in a Randomized Controlled Trial: The Caregiver Study—An Advance Care Planning Investigation, Journal of Mixed Methods Research (15, 4) pp. . Copyright © 2020. DOI: 10.1177/1558689820970686. Users who receive access to an article through a repository are reminded that the article is protected by copyright and reuse is restricted to non-commercial and no derivative uses. Users may also download and save a local copy of an article accessed in an institutional repository for the user's personal reference. For permission to reuse an article, please follow our Process for Requesting Permission.
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Work Title | Generating a new outcome variable using mixed methods in a randomized controlled trial: The Caregiver Study– An advance care planning investigation |
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License | In Copyright (Rights Reserved) |
Work Type | Article |
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Publication Date | November 6, 2020 |
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Deposited | June 19, 2023 |
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