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Taste Exam: A Brief and Validated Test
Published on: August 17, 2018
Development and validation of the Person-Centeredness of Research Scale
Consuelo H Wilkins1,2,3, Victoria Villalta-Gil1, Mckenzie M Houston1
1Meharry-Vanderbilt Alliance, Vanderbilt University Medical Center, 37208, Nashville, TN, USA.
Aim:
Person-centeredness shifts the focus of healthcare and research to the needs and priorities of patients and communities, and may improve health outcomes. There are no instruments available, however, with which we can assess the degree to which research is indeed person-centered. Our aim was to develop and validate a quantitative instrument to rate person-centeredness of research.
Materials & Methods:
Scale development and validation entailed a multistep approach that led to the seven-item Person Centeredness of Research Scale (PCoR Scale) that uses a 5-point Likert rating scale. The scale was validated using ratings of the Patient-Centered Outcomes Research Institute-funded research abstracts or abstracts submitted to a translational science meeting.
Results:
Psychometric properties of the PCoR Scale showed high internal consistency (α = 0.96). All seven items were highly correlated with the total score (rs range from 0.63 to 0.90). An exploratory factor analysis demonstrated that all of the items loaded on a single factor, explaining 80% of the variance. The Patient-Centered Outcomes Research Institute-funded research abstracts had a mean PCoR Scale score of 6.52 (±8.01) that was significantly higher than the abstracts submitted to the translational science meeting (-2.56 (±9.18); t = 8.09; p < 0.0001). Inter-rater reliability in the validation of the revised instrument was high (Intraclass Correlation Coefficient [ICC](group1) = 0.89; ICC(group2) = 0.95).
Conclusion:
This brief, quantitative rating scale is the first to assess the main constructs that describe person-centeredness of research products. The PCoR Scale can be used to assess person-centeredness in research products; for example, by funders evaluating proposals, data networks evaluating data requests or researchers evaluating their research designs.
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