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Measuring advance care planning behavior in Dutch adults: translation, cultural adaptation and validation of the Advance Care Planning Engagement Survey

Doris van der Smissen, Agnes van der Heide, Rebecca L. Sudore, Judith Rietjens, Ida J. Korfage

2021BMC Medical Research Methodology15 citationsDOIOpen Access PDF

Abstract

BACKGROUND: Advance care planning (ACP) enables people to define, discuss, and record preferences for treatment and care. Measures of ACP behavior are lacking in the Netherlands. We aimed to translate, culturally adapt and validate the 34-item ACP Engagement Survey into Dutch. METHODS: Following validation guidelines, we tested content validity, internal consistency, reproducibility, construct validity, interpretability and criterion validity among persons with and without chronic disease. RESULTS: Forward-backward translation indicated the need of only minor adaptations. Two hundred thirty-two persons completed baseline and retest surveys; 121 were aged ≥60 years. Persons with chronic disease (n = 151) considered the survey more valuable than those without (66 vs. 59, p < 0.001, scale of 20-100), indicating good content validity. Internal consistency (Cronbach's alpha: 0.97) and reproducibility (intraclass correlation: 0.88) were good. Total ACP Engagement was higher among persons with chronic disease than those without (2.9 vs. 2.4, p < 0.01, scale of 1 to 5), indicating good psychometric support for construct validity and interpretability. Positive correlations of the ACP Engagement Survey and the General Self-Efficacy survey indicated good criterion validity (p < 0.05). CONCLUSIONS: This study provided good psychometric support for the validity and reliability of the Dutch 34-item ACP Engagement Survey. This instrument can be used to assess involvement in ACP in adults with and without chronic disease.

Topics & Concepts

Cronbach's alphaConstruct validityInterpretabilityIntraclass correlationContent validityScale (ratio)Criterion validityClinical psychologyExternal validityPsychologyMedicineReliability (semiconductor)PsychometricsGerontologySocial psychologyComputer sciencePhysicsMachine learningQuantum mechanicsPower (physics)Palliative Care and End-of-Life IssuesChronic Disease Management StrategiesGeriatric Care and Nursing Homes