Use of a quantitative data report in a hypothetical decision scenario for health policymaking

• Verfasst von: Wronski, Pamela [VerfasserIn]
• Verfasst von: Wensing, Michel [VerfasserIn]
• Verfasst von: Ghosh, Sucheta [VerfasserIn]
• Verfasst von: Gärttner, Lukas [VerfasserIn]
• Verfasst von: Müller, Wolfgang [VerfasserIn]
• Verfasst von: Koetsenruijter, Jan [VerfasserIn]
• Titel: Use of a quantitative data report in a hypothetical decision scenario for health policymaking
• Titelzusatz: a computer-assisted laboratory study
• Verf.angabe: Pamela Wronski, Michel Wensing, Sucheta Ghosh, Lukas Gärttner, Wolfgang Müller and Jan Koetsenruijter
• E-Jahr: 2021
• Jahr: 28 January 2021
• Umfang: 14 S.
• Fussnoten: Gesehen am 26.03.2021
• Titel Quelle: Enthalten in: BMC medical informatics and decision making
• Ort Quelle: London : BioMed Central, 2001
• Jahr Quelle: 2021
• Band/Heft Quelle: 21(2021), Artikel-ID 32, Seite 1-14
• ISSN Quelle: 1472-6947
• DOI: doi:10.1186/s12911-021-01401-4
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Data use
• Sach-SW: Decision-making
• Sach-SW: Evidence-based health policy
• Sach-SW: Eye-tracking
• Sach-SW: Health policy
• Sach-SW: Laboratory
• Sach-SW: Reading behavior
• K10plus-PPN: 1752627156
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext

Abstract

Quantitative data reports are widely produced to inform health policy decisions. Policymakers are expected to critically assess provided information in order to incorporate the best available evidence into the decision-making process. Many other factors are known to influence this process, but little is known about how quantitative data reports are actually read. We explored the reading behavior of (future) health policy decision-makers, using innovative methods.