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Characterizing uncertainty in goals-of-care discussions among black and white patients: a qualitative study
Annie T Chen1, Shelley Tsui2, Rashmi K Sharma3
1Department of Biomedical Informatics and Medical Education, University of Washington School of Medicine, 850 Republican St, Box 358047, 98109, Seattle, WA, United States. atchen@uw.edu.
Background:
Uncertainty has been associated with distress and poorer quality of life in patients with advanced cancer. Prior studies have focused on prognostic uncertainty; little is known about other types of uncertainty that patients and family members experience when discussing goals of care. Understanding the types of uncertainty expressed and differences between Black and White patients can inform the development of uncertainty management interventions.
Methods:
This study sought to characterize the types of uncertainty expressed by Black and White patients and family members within the context of information needs during inpatient goals-of-care discussions. We performed a secondary analysis of transcripts from 62 recorded goals-of-care discussions that occurred between 2012 and 2014 at an urban, academic medical center in the United States. We applied an adapted taxonomy of uncertainty to data coded as describing information needs and used an inductive qualitative analysis method to analyze the discussions. We report the types of uncertainty expressed in these discussions.
Results:
Fifty discussions included patient or family expressions of information needs. Of these, 40 discussions (n=16 Black and n=24 White) included statements of uncertainty. Black and White patients and families most frequently expressed uncertainty related to processes and structures of care (system-centered uncertainty) and to treatment (scientific uncertainty). Statements of prognostic uncertainty focused on quantitative information among Whites and on qualitative information and expectations for the future among Blacks.
Conclusions:
Black and White patients and families frequently expressed system-centered uncertainty, suggesting this may be an important target for intervention. Addressing other sources of uncertainty, such as prognostic uncertainty, may need more tailored approaches.
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