Validating care and treatment scenarios for measuring decisional conflict regarding future care preferences among older adults

Health Expect. 2024 Apr;27(2):e14010. doi: 10.1111/hex.14010.

Abstract

Objective: Decisional conflict is used increasingly as an outcome measure in advance care planning (ACP) studies. When the Decisional Conflict Scale (DCS) is used in anticipatory decision-making contexts, the scale is typically tethered to hypothetical scenarios. This study reports preliminary validation data for hypothetical scenarios relating to life-sustaining treatments and care utilisation to inform their broader use in ACP studies.

Methods: Three hypothetical scenarios were developed by a panel of multidisciplinary researchers, clinicians and community representatives. A convenience sample of 262 older adults were surveyed. Analyses investigated comprehensibility, missing data properties, sample norms, structural, convergent and discriminant validity.

Results: Response characteristics suggested that two of the scenarios had adequate comprehensibility and response spread. Missing response rates were unrelated to demographic characteristics. Predicted associations between DCS scores and anxiety (r's = .31-.37, p < .001), and ACP engagement (r's = -.41 to -.37, p < .001) indicated convergent validity.

Conclusion: A substantial proportion of older adults reported clinically significant levels of decisional conflict when responding to a range of hypothetical scenarios about care or treatment. Two scenarios showed acceptable comprehensibility and response characteristics. A third scenario may be suitable following further refinement.

Patient or public contribution: The scenarios tested here were designed in collaboration with a community representative and were further piloted with two groups of community members with relevant lived experiences; four people with life-limiting conditions and five current or former care partners.

Keywords: advance care planning; decision-making; decisional conflict; end-of-life; scenarios.

MeSH terms

  • Advance Care Planning*
  • Aged
  • Anxiety
  • Humans
  • Research Design
  • Research Personnel