Exploratory Factor Analysis of a Patient-Centered Cancer Care Measure to Support Improved Assessment of Patients' Experiences.

Objective: To increase the understanding of patient-centered care (PCC) and address the need for cross-cutting quality cancer care measures that are relevant to both patients and providers.

Methods: An exploratory factor analysis (EFA) was performed on a short version of the Patients and the Cancer Care Experience Survey, a patient-reported measure of perceived importance of social, emotional, physical, and informational aspects of care, administered to adult patients (n = 104) at a National Cancer Institute-designated comprehensive cancer center. Relationships between PCC dimensions and patient characteristics were also assessed. Principal axis factoring was applied and bivariate analyses were performed using Wilcoxon rank-sum tests.

Results: Most of our sample was over 60 years old (63.4%), female (57.4%), and white (74.2%), with either breast (41.2%) or prostate cancer (27.5%). A 5-factor model was identified: (1) quality of life (α = .91), (2) provider social support (α = .83), (3) psychosocial needs (α = .91), (4) nonprovider social support (α = .79), and (5) health information and decision-making support (α = .88). No statistically significant associations were found between these factors and patients' characteristics.

Conclusions: A preliminary factor structure for a cancer PCC measure was identified. Our findings reinforce the interrelated nature of PCC dimensions. The lessons learned from this study may be used to develop a single PCC measure that identifies patient priorities across the cancer care continuum. Data collected from such a measure can be used to support patient engagement in treatment planning and decision-making.