Difference between revisions of "Landmark-etal2017"

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|Author(s)=Anne Marie Dalby Landmark; Eirik Hugaas Ofstad; Jan Svennevig
 
|Author(s)=Anne Marie Dalby Landmark; Eirik Hugaas Ofstad; Jan Svennevig
 
|Title=Eliciting patient preferences in shared decision-making (SDM): Comparing conversation analysis and SDM measurements
 
|Title=Eliciting patient preferences in shared decision-making (SDM): Comparing conversation analysis and SDM measurements
|Tag(s)=EMCA; Shared decision-making; Patient preference; Measurement; Hospital; Physician-patient interaction; In Press;
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|Tag(s)=EMCA; Shared decision-making; Patient preference; Measurement; Hospital; Physician-patient interaction
 
|Key=Landmark-etal2017
 
|Key=Landmark-etal2017
 
|Year=2017
 
|Year=2017

Latest revision as of 03:30, 11 September 2018

Landmark-etal2017
BibType ARTICLE
Key Landmark-etal2017
Author(s) Anne Marie Dalby Landmark, Eirik Hugaas Ofstad, Jan Svennevig
Title Eliciting patient preferences in shared decision-making (SDM): Comparing conversation analysis and SDM measurements
Editor(s)
Tag(s) EMCA, Shared decision-making, Patient preference, Measurement, Hospital, Physician-patient interaction
Publisher
Year 2017
Language
City
Month
Journal Patient Education and Counseling
Volume 100
Number 11
Pages 2081-2087
URL Link
DOI https://doi.org/10.1016/j.pec.2017.05.018
ISBN
Organization
Institution
School
Type
Edition
Series
Howpublished
Book title
Chapter

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Abstract

Objective

To explore how physicians bring up patient preferences, and how it aligns with assessments of shared decision-making.

Methods

Qualitative conversation analysis of physicians formulating hypotheses about the patient’s treatment preference was compared with quantitative scores on SDM and ‘patient preferences’ using OPTION(5) and MAPPIN’SDM.

Results

Physicians occasionally formulate hypotheses about patients’ preferences and then present a treatment option on the basis of that (“if you think X + we can do Y”). This practice may promote SDM in that the decisions are treated as contingent on patient preferences. However, the way these hypotheses are formulated, simultaneously constrains the patient’s freedom of choice and exerts a pressure to accept the physician’s recommendation. These opposing effects may in part explain cases where different assessment instruments yield large variations in SDM measures.

Conclusion

Eliciting patient preferences is a complex phenomenon that can be difficult to reduce into an accurate number. Detailed analysis can shed light on how patient preferences are elicited, and its consequences for patient involvement. Comparing CA and SDM measurements can contribute to specifying communicative actions that SDM scores are based on.

Practice implications

Our findings have implications for SDM communication skills training and further development of SDM measurements.

Notes