Published November 6, 2021 | Version v1
Dataset Open

Data set supplementing "Interactive versus static decision support tools for COVID-19: An experimental comparison"

Authors/Creators

  • 1. Department of Psychology and Ergonomics (IPA), Technische Universität Berlin
  • 2. Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin

Description

This is the de-identified data set used to conduct the analyses in the preprint submitted to JMIR Public Health and Surveillance under the title "Interactive versus static decision support tools for COVID-19: An experimental comparison" (https://doi.org/10.2196/preprints.33733).

This data set contains the appraisal of 196 respondents (without decision support, with static or with interactive decision support) to appropriate social and care-seeking behavior for seven fictitious descriptions of patients. Additionally, this data contains participants'

  • gender
  • educational background
  • previous medical training
  • affinity for technology
  • experience with COVID-19 related medical questions
  • perceived threat from COVID-19
  • answers to a COVID-19 knowledge test
  • accuracy
  • decision certainty (after deciding)
  • mental effort
  • ratings of
    • the decision support tool's usefulness 
    • ease of use
    • trust
    • future intention to use the tool

Files

open_data.csv

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Additional details

Related works

Is supplement to
Journal article: 10.2196/preprints.33733 (DOI)