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The actor-partner interdependence model in shared decision-making: an illustrative example of its application to the physician-patient dyad in primary care consultations.
- Source :
-
Journal of clinical epidemiology [J Clin Epidemiol] 2019 Apr; Vol. 108, pp. 132-139. Date of Electronic Publication: 2018 Dec 07. - Publication Year :
- 2019
-
Abstract
- Objectives: We applied the actor-partner interdependence model, a method used to evaluate the relationship process between two related persons, to patient-physician data about the effect of shared decision-making behaviors on patient and physician uncertainty. We discuss measurement and interpretation problems.<br />Study Design and Setting: The EXACKTE <superscript>2</superscript> project was a cross-sectional study of 263 unique patient-physician dyads in 17 primary care clinics in Canada. Participants independently completed self-administered questionnaires postconsultation to measure patients' and physicians' perceptions of shared decision-making behaviors and their uncertainty about whether the decision was the best one for the patient. We used the actor-partner interdependence model to explore the effect of shared decision-making behaviors on patient and physician uncertainty.<br />Results: Application of the actor-partner interdependence model to our data showed significant actor effects only. Our exploratory analysis suggested that an appropriate dyadic pattern for this context would be the couple-oriented model.<br />Conclusion: Each actor's perception of the physicians' shared decision-making behaviors appeared only to affect their own uncertainty (actor effects), but the questionnaire may have been inadequate for identifying partner effects. Researchers should further explore using the actor-partner interdependence model to analyze actor-partner interdependence in the physician-patient relationship, and format questions tailored precisely to the model.<br /> (Copyright © 2018 Elsevier Inc. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1878-5921
- Volume :
- 108
- Database :
- MEDLINE
- Journal :
- Journal of clinical epidemiology
- Publication Type :
- Academic Journal
- Accession number :
- 30529006
- Full Text :
- https://doi.org/10.1016/j.jclinepi.2018.11.027