Files and links (1)
Published (Version of Record)CC BY V4.0, Open Access
Journal article
Validating care and treatment scenarios for measuring decisional conflict regarding future care preferences among older adults
Health expectations : an international journal of public participation in health care and health policy, Vol.27(2), e14010
2024
PMCID: PMC10918722
PMID: 38450803
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.
Details
- Title
- Validating care and treatment scenarios for measuring decisional conflict regarding future care preferences among older adults
- Authors/Creators
- Craig Sinclair - UNSW SydneyLing Yeoh - UNSW SydneyAva Karusoo-Musumeci - Neuroscience Research AustraliaKirsten A Auret - The University of Western AustraliaJosephine M Clayton - The University of SydneyMichelle Hilgeman - Tuscaloosa VA Medical CenterElizabeth Halcomb - University of WollongongRon Sinclair - The University of AdelaideAngelita Martini - The University of Western AustraliaAnne Meller - South Eastern Sydney Local Health DistrictRebecca Walton - Brightwater Group, Perth, Western Australia, AustraliaLi Wei - Murdoch UniversityTiet-Hanh Dao-Tran - Centre for Health Services Research, University of Queensland, Brisbane, Queensland, AustraliaSusan Kurrle - Northern Sydney Local Health DistrictTracy Comans - The University of Queensland
- Publication Details
- Health expectations : an international journal of public participation in health care and health policy, Vol.27(2), e14010
- Publisher
- John Wiley & Sons Ltd.
- Grant note
- GNT2006283 / National Health and Medical Research Council
- Identifiers
- 991005648387407891
- Copyright
- © 2024 The Authors.
- Murdoch Affiliation
- School of Nursing
- Language
- English
- Resource Type
- Journal article
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Metrics
19 File views/ downloads
84 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.112 Palliative Care
- 1.112.237 End-of-Life Care
- Web Of Science research areas
- Health Care Sciences & Services
- Health Policy & Services
- Public, Environmental & Occupational Health
- ESI research areas
- Social Sciences, general