Challenges in reducing the 10-item CARE Measure to a two-item version: comparison of patients' preferences with psychometric evaluation in a cross-sectional survey in Scotland.
cross_sectional · Level IV
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- Record sourced from PubMed, PMID 40903205.
- Also identified by DOI 10.3399/BJGPO.2025.0085.
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Abstract
The Consultation and Relational Empathy (CARE) Measure is a widely used 10-item measure to assess patients' perceptions of physician empathy. Takahashi <i>et al</i>'s (2022) recent study proposed a two-item version based on psychometric evaluation of survey responses, without considering patient preferences. To apply Takahashi <i>et al</i>'s psychometric method to UK data, and compare findings with patients' preferences on the two most important items. In 2022, a cross-sectional postal survey of 6291 Scottish adults was conducted. Using Takahashi <i>et al</i>'s method, psychometric evaluation compared correlations between all possible two-item combinations with the original 10-item CARE Measure to identify the optimal two-item combination. Patients were also asked to select the two items they considered most important. Descriptive analysis examined the proportion of patients selecting each item, and level of agreement on the most popular two-item combination. In total, 1053 (17%) of 6291 patients responded. Psychometric evaluation identified items 6 ('Showing care and compassion') and 8 ('Explaining things clearly') as the optimal two-item combination (Cronbach's alpha = 0.916, correlation = 0.953). This differed from patient preferences, with items 3 ('Really listening') and 8 receiving the highest proportion of votes (19% and 17%, respectively). Preferences also varied by age, deprivation level, and consultation complexity. The most popular two-item combination (items 3 and 8) was selected by 10% of responders, with 90% selecting other combinations. The psychometrically optimal two-item combination did not align with patient preferences. Given variation in patient preferences and low agreement, reducing the CARE Measure to two-items may be inadvisable.