Abstract
The web-based intervention modelling experiment (IME; randomised study in a simulated setting) reported by Treweek and colleagues [1] provided support for using IME methodology in the evaluation of interventions to improve quality of care. As well as the management decision made, Treweek and colleagues’ data on general practitioners’ (GPs) responses to scenarios describing uncomplicated Upper Respiratory Tract infection (URTI) included a measure of perceived decision difficulty for each decision, and the time taken to make each decision. To further inform the development of interventions to improve quality of care, we analysed these data, aiming to quantify the relationships between decision difficulty, decision
appropriateness, and the speed at which decisions were made.
appropriateness, and the speed at which decisions were made.
Original language | English |
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Pages (from-to) | 173–174 |
Number of pages | 2 |
Journal | Journal of Clinical Epidemiology |
Volume | 82 |
Early online date | 15 Nov 2016 |
DOIs | |
Publication status | Published - 1 Feb 2017 |
Bibliographical note
FundingThe original study was funded by the Chief Scientist Office, grant number CZH/4/610. The analyses reported here were funded by a Medical Research Council Doctoral Training Grant awarded to the first author. The Health Services Research Unit, University of Aberdeen, is core funded by the Chief Scientist Office of the Scottish Government Health Directorates. The funding sources had no role in the study design; the collection, analysis, or interpretation of data; the writing of the report; or in the decision to submit the article for publication
Keywords
- general practitioner
- upper respiratory tract infection
- clinical decision-making
- antibiotic prescribing
- patient scenario
- Primary care
- Cognition