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Development and usability testing of a Web-based decision aid for families of patients receiving prolonged mechanical ventilation

BACKGROUND: Web-based decision aids are increasingly important in medical research and clinical care. However, few have been studied in an intensive care unit setting. The objectives of this study were to develop a Web-based decision aid for family members of patients receiving prolonged mechanical...

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Autores principales: Cox, Christopher E, Wysham, Nicholas G, Walton, Brenda, Jones, Derek, Cass, Brian, Tobin, Maria, Jonsson, Mattias, Kahn, Jeremy M, White, Douglas B, Hough, Catherine L, Lewis, Carmen L, Carson, Shannon S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Paris 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4385299/
https://www.ncbi.nlm.nih.gov/pubmed/25852965
http://dx.doi.org/10.1186/s13613-015-0045-0
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author Cox, Christopher E
Wysham, Nicholas G
Walton, Brenda
Jones, Derek
Cass, Brian
Tobin, Maria
Jonsson, Mattias
Kahn, Jeremy M
White, Douglas B
Hough, Catherine L
Lewis, Carmen L
Carson, Shannon S
author_facet Cox, Christopher E
Wysham, Nicholas G
Walton, Brenda
Jones, Derek
Cass, Brian
Tobin, Maria
Jonsson, Mattias
Kahn, Jeremy M
White, Douglas B
Hough, Catherine L
Lewis, Carmen L
Carson, Shannon S
author_sort Cox, Christopher E
collection PubMed
description BACKGROUND: Web-based decision aids are increasingly important in medical research and clinical care. However, few have been studied in an intensive care unit setting. The objectives of this study were to develop a Web-based decision aid for family members of patients receiving prolonged mechanical ventilation and to evaluate its usability and acceptability. METHODS: Using an iterative process involving 48 critical illness survivors, family surrogate decision makers, and intensivists, we developed a Web-based decision aid addressing goals of care preferences for surrogate decision makers of patients with prolonged mechanical ventilation that could be either administered by study staff or completed independently by family members (Development Phase). After piloting the decision aid among 13 surrogate decision makers and seven intensivists, we assessed the decision aid’s usability in the Evaluation Phase among a cohort of 30 surrogate decision makers using the Systems Usability Scale (SUS). Acceptability was assessed using measures of satisfaction and preference for electronic Collaborative Decision Support (eCODES) versus the original printed decision aid. RESULTS: The final decision aid, termed ‘electronic Collaborative Decision Support’, provides a framework for shared decision making, elicits relevant values and preferences, incorporates clinical data to personalize prognostic estimates generated from the ProVent prediction model, generates a printable document summarizing the user’s interaction with the decision aid, and can digitally archive each user session. Usability was excellent (mean SUS, 80 ± 10) overall, but lower among those 56 years and older (73 ± 7) versus those who were younger (84 ± 9); p = 0.03. A total of 93% of users reported a preference for electronic versus printed versions. CONCLUSIONS: The Web-based decision aid for ICU surrogate decision makers can facilitate highly individualized information sharing with excellent usability and acceptability. Decision aids that employ an electronic format such as eCODES represent a strategy that could enhance patient-clinician collaboration and decision making quality in intensive care. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13613-015-0045-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-43852992015-04-07 Development and usability testing of a Web-based decision aid for families of patients receiving prolonged mechanical ventilation Cox, Christopher E Wysham, Nicholas G Walton, Brenda Jones, Derek Cass, Brian Tobin, Maria Jonsson, Mattias Kahn, Jeremy M White, Douglas B Hough, Catherine L Lewis, Carmen L Carson, Shannon S Ann Intensive Care Research BACKGROUND: Web-based decision aids are increasingly important in medical research and clinical care. However, few have been studied in an intensive care unit setting. The objectives of this study were to develop a Web-based decision aid for family members of patients receiving prolonged mechanical ventilation and to evaluate its usability and acceptability. METHODS: Using an iterative process involving 48 critical illness survivors, family surrogate decision makers, and intensivists, we developed a Web-based decision aid addressing goals of care preferences for surrogate decision makers of patients with prolonged mechanical ventilation that could be either administered by study staff or completed independently by family members (Development Phase). After piloting the decision aid among 13 surrogate decision makers and seven intensivists, we assessed the decision aid’s usability in the Evaluation Phase among a cohort of 30 surrogate decision makers using the Systems Usability Scale (SUS). Acceptability was assessed using measures of satisfaction and preference for electronic Collaborative Decision Support (eCODES) versus the original printed decision aid. RESULTS: The final decision aid, termed ‘electronic Collaborative Decision Support’, provides a framework for shared decision making, elicits relevant values and preferences, incorporates clinical data to personalize prognostic estimates generated from the ProVent prediction model, generates a printable document summarizing the user’s interaction with the decision aid, and can digitally archive each user session. Usability was excellent (mean SUS, 80 ± 10) overall, but lower among those 56 years and older (73 ± 7) versus those who were younger (84 ± 9); p = 0.03. A total of 93% of users reported a preference for electronic versus printed versions. CONCLUSIONS: The Web-based decision aid for ICU surrogate decision makers can facilitate highly individualized information sharing with excellent usability and acceptability. Decision aids that employ an electronic format such as eCODES represent a strategy that could enhance patient-clinician collaboration and decision making quality in intensive care. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13613-015-0045-0) contains supplementary material, which is available to authorized users. Springer Paris 2015-03-25 /pmc/articles/PMC4385299/ /pubmed/25852965 http://dx.doi.org/10.1186/s13613-015-0045-0 Text en © Cox et al.; licensee Springer. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research
Cox, Christopher E
Wysham, Nicholas G
Walton, Brenda
Jones, Derek
Cass, Brian
Tobin, Maria
Jonsson, Mattias
Kahn, Jeremy M
White, Douglas B
Hough, Catherine L
Lewis, Carmen L
Carson, Shannon S
Development and usability testing of a Web-based decision aid for families of patients receiving prolonged mechanical ventilation
title Development and usability testing of a Web-based decision aid for families of patients receiving prolonged mechanical ventilation
title_full Development and usability testing of a Web-based decision aid for families of patients receiving prolonged mechanical ventilation
title_fullStr Development and usability testing of a Web-based decision aid for families of patients receiving prolonged mechanical ventilation
title_full_unstemmed Development and usability testing of a Web-based decision aid for families of patients receiving prolonged mechanical ventilation
title_short Development and usability testing of a Web-based decision aid for families of patients receiving prolonged mechanical ventilation
title_sort development and usability testing of a web-based decision aid for families of patients receiving prolonged mechanical ventilation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4385299/
https://www.ncbi.nlm.nih.gov/pubmed/25852965
http://dx.doi.org/10.1186/s13613-015-0045-0
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