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

Overview of attention for article published in Annals of Intensive Care, March 2015
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93 Mendeley
Title
Development and usability testing of a Web-based decision aid for families of patients receiving prolonged mechanical ventilation
Published in
Annals of Intensive Care, March 2015
DOI 10.1186/s13613-015-0045-0
Pubmed ID
Authors

Christopher E Cox, Nicholas G Wysham, Brenda Walton, Derek Jones, Brian Cass, Maria Tobin, Mattias Jonsson, Jeremy M Kahn, Douglas B White, Catherine L Hough, Carmen L Lewis, Shannon S Carson

Abstract

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. 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. 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. 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 19%
Student > Ph. D. Student 14 15%
Researcher 11 12%
Student > Bachelor 7 8%
Student > Doctoral Student 6 6%
Other 25 27%
Unknown 12 13%
Readers by discipline Count As %
Medicine and Dentistry 23 25%
Nursing and Health Professions 14 15%
Computer Science 8 9%
Engineering 5 5%
Psychology 5 5%
Other 21 23%
Unknown 17 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 April 2015.
All research outputs
#15,330,390
of 23,577,654 outputs
Outputs from Annals of Intensive Care
#812
of 1,074 outputs
Outputs of similar age
#150,290
of 264,630 outputs
Outputs of similar age from Annals of Intensive Care
#5
of 9 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,074 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 264,630 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.