Development and psychometric testing of a patient-reported inventory to measure patient-centred care in dietetic practice

Aust J Prim Health. 2019 Jan;25(6):547-554. doi: 10.1071/PY19055.

Abstract

To develop and psychometrically test a conceptually grounded patient-reported inventory to measure patient-centred care (PCC) in dietetics. Development of the inventory involved conducting a literature search and selecting previously validated scales to reflect the conceptual model of PCC that was developed by the research team. Next, a cross-sectional survey of patients attending individual consultations with Accredited Practicing Dietitians working in primary care was undertaken. To evaluate the factor structure of the inventory, exploratory factor analysis was performed using principal component analysis. Cronbach's α, inter-item correlations and corrected-item total correlations were computed to test the internal consistency reliability. A total of 133 patients completed the survey. Five factors were extracted, accounting for 78.4% of the variance. All items demonstrated significant loadings (i.e. ≥0.45) and most items had significant loadings on only one factor. High Cronbach's α values (ranging 0.87-0.97), inter-item correlations (0.46-0.89) and corrected item-total correlations (0.61-0.90) indicated good internal consistency of the inventory, but also potential item redundancy. This study provides the first patient-reported measure of PCC in dietetic practice, which has promising preliminary validity and reliability. With further testing, there is potential for this inventory to be used in future dietetic practice, research and education.

MeSH terms

  • Aged
  • Australia
  • Cross-Sectional Studies
  • Dietetics
  • Factor Analysis, Statistical
  • Female
  • Humans
  • Male
  • Middle Aged
  • Nutritionists* / psychology
  • Nutritionists* / statistics & numerical data
  • Patient Reported Outcome Measures*
  • Patient Satisfaction / statistics & numerical data*
  • Patient-Centered Care / statistics & numerical data*
  • Professional-Patient Relations*
  • Psychometrics
  • Reproducibility of Results
  • Surveys and Questionnaires