Developing a dyadic OPTION scale to measure perceptions of shared decision making

Cording, Emma, Sinclair, Kate, Durand, Marie-Anne, Legare, F. and Elwyn, Glyn ORCID: https://orcid.org/0000-0002-0917-6286 2010. Developing a dyadic OPTION scale to measure perceptions of shared decision making. Patient Education and Counseling 78 (2) , pp. 177-183. 10.1016/j.pec.2009.07.009

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Abstract

Objective Our aim was to develop a measurement which enables research into the interdependent nature of clinical encounters. The prime objective was to develop an instrument capable of assessing the extent to which patients have been involved in (shared) decision making from two viewpoints—that of the patient and the clinician. Methods To develop an initial ‘dyadic OPTION’ instrument, the twelve original third-person items were drafted in passive, first person plural forms. Using this version initially, three rounds of cognitive debriefing interviews were held. These were audio-recorded and analysed at the end of each round and the results used to revise the dyadic OPTION scale. Results It was possible to modify the observer OPTION instrument into an instrument for completion by both clinicians and patients after a dyadic interaction. Cognitive debriefing revealed five areas of interpretative difficulty. Each item of the observer OPTION scale underwent modification in order to develop a dyadic version of the scale. Conclusions The dyadic OPTION scale is acceptable and comprehensible by both clinicians and public respondents. Cognitive debriefing adapted and refined an existing scale and provided confidence that the core constructs of the scale (perceived involvement in decisions making) were understood. Practice implications Further validation of the dyadic OPTION scale is required prior to its use in research settings.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Medicine
Subjects:	R Medicine > R Medicine (General)
Uncontrolled Keywords:	Shared decision making; Involvement; Decision making; Measurement; Dyadic analysis
Publisher:	Elsevier
ISSN:	0738-3991
Last Modified:	18 Oct 2022 12:59
URI:	https://orca.cardiff.ac.uk/id/eprint/11955

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