Interactive versus static decision support tools for COVID-19
Not Applicable
- Conditions
- U07.2Suspected COVID-19COVID-19, virus not identified
- Registration Number
- DRKS00028136
- Lead Sponsor
- Charité Campus Charité Mitte
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete
- Sex
- All
- Target Recruitment
- 196
Inclusion Criteria
US residents
Exclusion Criteria
Professional medical background (ie nurses, paramedics, physicians etc.)
Study & Design
- Study Type
- interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Decision accuracy (number of fictitious clinical vignettes correctly appraised by the participants; minimum 0, maximum 14)
- Secondary Outcome Measures
Name Time Method 1) Participants’ decisional (un)certainty was assessed using O'Connor's (1995) Decisional Conflict Subscale following the appraisal of all seven fictitious vignettes.<br>2) Participants mental effort on appraising the vignettes was assessed after assessment of each vignette using the Cognitive Load Measurement instrument presented by Paas et al. (2003).<br><br>For participants in the intervention group we additionally surveyed<br><br>3) perceived usefulness of the decision aids using a scale from Davis' Technology Acceptance Model (1989),<br><br>4) ease of use of the decision aids using a scale scales from Davis' Technology Acceptance Model (1989),<br><br>5) self-reported trust in the decision aid's recommendations using a custom 7-point Likert scale,<br><br>6) self-reported future intention to use the decision aid (again) using a a custom 7-point Likert scale,<br><br>after appraisal of all seven case vignettes.