Skip to main content
Journal cover image

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

Publication ,  Journal Article
Cox, CE; Wysham, NG; Walton, B; Jones, D; Cass, B; Tobin, M; Jonsson, M; Kahn, JM; White, DB; Hough, CL; Lewis, CL; Carson, SS
Published in: Ann Intensive Care
2015

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.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Ann Intensive Care

DOI

ISSN

2110-5820

Publication Date

2015

Volume

5

Start / End Page

6

Location

Germany

Related Subject Headings

  • 3202 Clinical sciences
  • 1117 Public Health and Health Services
  • 1103 Clinical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Cox, C. E., Wysham, N. G., Walton, B., Jones, D., Cass, B., Tobin, M., … Carson, S. S. (2015). Development and usability testing of a Web-based decision aid for families of patients receiving prolonged mechanical ventilation. Ann Intensive Care, 5, 6. https://doi.org/10.1186/s13613-015-0045-0
Cox, Christopher E., Nicholas G. Wysham, Brenda Walton, Derek Jones, Brian Cass, Maria Tobin, Mattias Jonsson, et al. “Development and usability testing of a Web-based decision aid for families of patients receiving prolonged mechanical ventilation.Ann Intensive Care 5 (2015): 6. https://doi.org/10.1186/s13613-015-0045-0.
Cox CE, Wysham NG, Walton B, Jones D, Cass B, Tobin M, et al. Development and usability testing of a Web-based decision aid for families of patients receiving prolonged mechanical ventilation. Ann Intensive Care. 2015;5:6.
Cox, Christopher E., et al. “Development and usability testing of a Web-based decision aid for families of patients receiving prolonged mechanical ventilation.Ann Intensive Care, vol. 5, 2015, p. 6. Pubmed, doi:10.1186/s13613-015-0045-0.
Cox CE, Wysham NG, Walton B, Jones D, Cass B, Tobin M, Jonsson M, Kahn JM, White DB, Hough CL, Lewis CL, Carson SS. Development and usability testing of a Web-based decision aid for families of patients receiving prolonged mechanical ventilation. Ann Intensive Care. 2015;5:6.
Journal cover image

Published In

Ann Intensive Care

DOI

ISSN

2110-5820

Publication Date

2015

Volume

5

Start / End Page

6

Location

Germany

Related Subject Headings

  • 3202 Clinical sciences
  • 1117 Public Health and Health Services
  • 1103 Clinical Sciences