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Validating care and treatment scenarios for measuring decisional conflict regarding future care preferences among
Craig Sinclair1,2, Ling Yeoh1, Ava Karusoo-Musumeci2
1School of Psychology, University of New South Wales, Sydney, New South Wales, Australia.
This study validates hypothetical scenarios for measuring decisional conflict in advance care planning (ACP). Two scenarios demonstrated adequate comprehensibility and response characteristics for use in ACP research.
Area of Science:
- Gerontology
- Health Services Research
- Psychometrics
Background:
- Decisional conflict is a key outcome in advance care planning (ACP) research.
- The Decisional Conflict Scale (DCS) is often used with hypothetical scenarios in ACP studies.
- Validation of these scenarios is crucial for reliable ACP research.
Purpose of the Study:
- To validate hypothetical scenarios for measuring decisional conflict in advance care planning (ACP).
- To assess the comprehensibility, response characteristics, and validity of scenarios related to life-sustaining treatments and care utilization.
- To inform the broader use of these scenarios in ACP studies.
Main Methods:
- Development of three hypothetical scenarios by a multidisciplinary panel and community representatives.
- Survey of 262 older adults using the Decisional Conflict Scale (DCS).
- Analysis of scenario comprehensibility, missing data, sample norms, and validity (structural, convergent, discriminant).
Main Results:
- Two of the three hypothetical scenarios exhibited adequate comprehensibility and response spread.
- Missing response rates were not associated with demographic characteristics.
- Convergent validity was supported by predicted associations between DCS scores and anxiety/ACP engagement.
Conclusions:
- A significant proportion of older adults experienced decisional conflict with the tested scenarios.
- Two scenarios are suitable for use in ACP research, with a third requiring refinement.
- These validated scenarios can enhance the measurement of decisional conflict in advance care planning studies.
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