Matching the right study design to decision-maker questions

Results from a Delphi study

Bibliographic Data

ID19594885
AuthorsCristián Mansilla (0000-0003-2377-0094, McMaster University, corresponding author), Gordon Guyatt, Gordon Guaytt (0000-0003-2352-5718, Impact, corresponding author), Arthur Sweetman (0000-0001-8726-7557, McMaster University, corresponding author), John N Lavis (0000-0001-7917-3657, Impact, corresponding author)
EditorsGenevieve Cecilia Aryeetey (0000-0002-0530-8675)
Year2024
Volume4
Issue2
Pagese0002752
Publication date2024-02-29
Open AccessYes
TypeARTICLE
VenuePLOS Global Public Health (JOURNAL)
Journal identifiersISSN: 2767-3375 • E-ISSN: 2767-3375
PublisherPublic Library of Science (PLoS) (PUBLISHER)
DOI10.1371/journal.pgph.0002752
PMID38421991
OpenAlexW4392283989
LanguageEN
Citations received1
References cited11

Research evidence can play an important role in each stage of decision-making, evidence-support systems play a key role in aligning the demand for and supply of evidence. This paper provides guidance on what type of study designs most suitably address questions asked by decision-makers. This study used a two-round online Delphi approach, including methodological experts in different areas, disciplines, and geographic locations. Participants prioritized study designs for each of 40 different types of question, with a Kendall’s W greater than 0.6 and reaching statistical significance (p

Actuarial science · Business · Decision maker · Delphi · Delphi method · Knowledge management · Management science · Operations research · Research design · Statistics · Computer Science · Delphi Technique in Research · Engineering · Evaluation and Performance Assessment · Mathematics · Psychology · Artificial Intelligence

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Open DOIOpen Access