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Modified Decisional Conflict Scale for Primary Caregivers in Long-Term Care Facilities: Psychometric Validation Using
Pai-Yueh Chen1, Ying-Hua Chao2, Yao-Ching Huang3,4,5
1School of Nursing, College of Nursing, Taipei Medical University, Taipei 11031, Taiwan.
Healthcare (Basel, Switzerland)
|June 26, 2026
Summary
A new scale effectively measures decisional conflict in long-term care (LTC) caregivers facing hospitalization decisions. Findings emphasize caregiver support and communication for better decision-making experiences.
Area of Science:
- Gerontology
- Healthcare Decision Making
- Psychometrics
Background:
- Family caregivers of long-term care (LTC) residents frequently experience decisional conflict regarding unplanned hospitalizations.
- This conflict impacts caregiver well-being and decision quality during critical care transitions.
Purpose of the Study:
- To adapt and psychometrically validate a modified Decisional Conflict Scale (DCS) tailored for primary family caregivers in LTC settings.
- To assess the reliability and validity of the modified DCS for measuring caregiver decisional conflict.
Main Methods:
- A cross-sectional survey involving 205 caregivers from 20 LTC facilities.
- Exploratory and confirmatory factor analyses (EFA/CFA) and structural equation modeling (SEM) were employed.
- Bollen-Stine bootstrap procedures were used for robust statistical estimation.
Main Results:
- The modified DCS exhibited excellent internal consistency (α = 0.98) and a robust single-factor structure.
- SEM revealed significant associations between Decision Antecedents, Decision-Making Process, and Decisional Conflict (R² = 0.68).
- Decision-Making Process partially mediated the link between Decision Antecedents and Decisional Conflict.
Conclusions:
- The adapted DCS is a reliable and valid tool for assessing decisional conflict in LTC caregivers.
- Caregiver readiness, support, and effective communication are crucial for mitigating decisional conflict.
- Future research should validate findings in diverse samples and explore shorter scale versions.
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