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A Digital Decision Support Tool to Enhance Decisional Capacity for Clinical Trial Consent: Design and Development
BACKGROUND: Challenges in the clinical and research consent process indicate the need to develop tailored, supportive interventions for all individuals, especially those with limited decisional capacity. We developed a tool to enhance shared decision making and the decisional capacity for individual...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6010840/ https://www.ncbi.nlm.nih.gov/pubmed/29875084 http://dx.doi.org/10.2196/10525 |
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author | Furberg, Robert D Ortiz, Alexa M Moultrie, Rebecca R Raspa, Melissa Wheeler, Anne C McCormack, Lauren A Bailey Jr, Donald B |
author_facet | Furberg, Robert D Ortiz, Alexa M Moultrie, Rebecca R Raspa, Melissa Wheeler, Anne C McCormack, Lauren A Bailey Jr, Donald B |
author_sort | Furberg, Robert D |
collection | PubMed |
description | BACKGROUND: Challenges in the clinical and research consent process indicate the need to develop tailored, supportive interventions for all individuals, especially those with limited decisional capacity. We developed a tool to enhance shared decision making and the decisional capacity for individuals with fragile X syndrome engaged in the informed consent process for a clinical trial. OBJECTIVE: We describe the design and development process of a tablet-based decision support tool. METHODS: Our development process for the decision support tool employed a user-centered, feature-driven design approach. We began with an environmental scan to catalog relevant mobile apps, and we conducted interviews with people with a diagnosis of fragile X syndrome and clinicians at fragile X syndrome clinics. To develop content for the decision support tool, we extracted key concepts and elements from a real clinical trial consent form and rewrote it using plain-language principles. RESULTS: We used iterative testing to continuously evaluate and revise the decision support tool content. The tool was finalized in 2016 and contained a series of vignettes, quiz questions, and a sorting activity. A randomized controlled trial was then conducted to compare the efficacy of the decision support tool with a standard verbal presentation of material that mimicked typical informed consent practice. CONCLUSIONS: The informed consent process is primed to leverage digital health resources that promote increased understanding and engagement of research participants in the consent and research process. The process and experiences we describe may provide a model for other digital health design and development initiatives seeking to create more interactive and accessible decision support resources. TRIAL REGISTRATION: ClinicalTrials.gov NCT02465931; https://www.clinicaltrials.gov/ct2/show/NCT02465931 (Archived by WebCite at http://www.webcitation.org/6zx2KY9YW) |
format | Online Article Text |
id | pubmed-6010840 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-60108402018-06-27 A Digital Decision Support Tool to Enhance Decisional Capacity for Clinical Trial Consent: Design and Development Furberg, Robert D Ortiz, Alexa M Moultrie, Rebecca R Raspa, Melissa Wheeler, Anne C McCormack, Lauren A Bailey Jr, Donald B JMIR Res Protoc Original Paper BACKGROUND: Challenges in the clinical and research consent process indicate the need to develop tailored, supportive interventions for all individuals, especially those with limited decisional capacity. We developed a tool to enhance shared decision making and the decisional capacity for individuals with fragile X syndrome engaged in the informed consent process for a clinical trial. OBJECTIVE: We describe the design and development process of a tablet-based decision support tool. METHODS: Our development process for the decision support tool employed a user-centered, feature-driven design approach. We began with an environmental scan to catalog relevant mobile apps, and we conducted interviews with people with a diagnosis of fragile X syndrome and clinicians at fragile X syndrome clinics. To develop content for the decision support tool, we extracted key concepts and elements from a real clinical trial consent form and rewrote it using plain-language principles. RESULTS: We used iterative testing to continuously evaluate and revise the decision support tool content. The tool was finalized in 2016 and contained a series of vignettes, quiz questions, and a sorting activity. A randomized controlled trial was then conducted to compare the efficacy of the decision support tool with a standard verbal presentation of material that mimicked typical informed consent practice. CONCLUSIONS: The informed consent process is primed to leverage digital health resources that promote increased understanding and engagement of research participants in the consent and research process. The process and experiences we describe may provide a model for other digital health design and development initiatives seeking to create more interactive and accessible decision support resources. TRIAL REGISTRATION: ClinicalTrials.gov NCT02465931; https://www.clinicaltrials.gov/ct2/show/NCT02465931 (Archived by WebCite at http://www.webcitation.org/6zx2KY9YW) JMIR Publications 2018-06-06 /pmc/articles/PMC6010840/ /pubmed/29875084 http://dx.doi.org/10.2196/10525 Text en ©Robert D Furberg, Alexa M Ortiz, Rebecca R Moultrie, Melissa Raspa, Anne C Wheeler, Lauren A McCormack, Donald B Bailey Jr. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 06.06.2018. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Furberg, Robert D Ortiz, Alexa M Moultrie, Rebecca R Raspa, Melissa Wheeler, Anne C McCormack, Lauren A Bailey Jr, Donald B A Digital Decision Support Tool to Enhance Decisional Capacity for Clinical Trial Consent: Design and Development |
title | A Digital Decision Support Tool to Enhance Decisional Capacity for Clinical Trial Consent: Design and Development |
title_full | A Digital Decision Support Tool to Enhance Decisional Capacity for Clinical Trial Consent: Design and Development |
title_fullStr | A Digital Decision Support Tool to Enhance Decisional Capacity for Clinical Trial Consent: Design and Development |
title_full_unstemmed | A Digital Decision Support Tool to Enhance Decisional Capacity for Clinical Trial Consent: Design and Development |
title_short | A Digital Decision Support Tool to Enhance Decisional Capacity for Clinical Trial Consent: Design and Development |
title_sort | digital decision support tool to enhance decisional capacity for clinical trial consent: design and development |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6010840/ https://www.ncbi.nlm.nih.gov/pubmed/29875084 http://dx.doi.org/10.2196/10525 |
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