The Patient Navigation Research Group consists of Fred Snyder, PhD, NOVA Research; Emmanuel Taylor, PhD, Center to Reduce Cancer Health Disparities, National Cancer Institute; Richard G. Roetzheim, MD, MSPH, H. Lee Moffitt Cancer Center and Research Institute; Victoria Warren-Mears, PhD, RD, LD, Northwest Tribal Epidemiology Center; Desiree Rivers, PhD, MSPH, University of South Florida, H. Lee Moffitt Cancer Center; and Nancy LaVerda, MPH, George Washington University, Cancer Institute, Washington, DC.
Structural and reliability analysis of a patient satisfaction with cancer-related care measure†
A Multisite patient navigation research program study
Article first published online: 4 OCT 2010
Copyright © 2010 American Cancer Society
Volume 117, Issue 4, pages 854–861, 15 February 2011
How to Cite
Jean-Pierre, P., Fiscella, K., Freund, K. M., Clark, J., Darnell, J., Holden, A., Post, D., Patierno, S. R., Winters, P. C. and the Patient Navigation Research Program Group (2011), Structural and reliability analysis of a patient satisfaction with cancer-related care measure. Cancer, 117: 854–861. doi: 10.1002/cncr.25501
- Issue published online: 3 FEB 2011
- Article first published online: 4 OCT 2010
- Manuscript Accepted: 25 MAY 2010
- Manuscript Revised: 3 MAY 2010
- Manuscript Received: 10 MAR 2010
- patient navigation;
Patient satisfaction is an important outcome measure of quality of cancer care and 1 of the 4 core study outcomes of the National Cancer Institute (NCI)-sponsored Patient Navigation Research Program to reduce race/ethnicity-based disparities in cancer care. There is no existing patient satisfaction measure that spans the spectrum of cancer-related care. The objective of this study was to develop a Patient Satisfaction With Cancer Care measure that is relevant to patients receiving diagnostic/therapeutic cancer-related care.
The authors developed a conceptual framework, an operational definition of Patient Satisfaction With Cancer Care, and an item pool based on literature review, expert feedback, group discussion, and consensus. The 35-item Patient Satisfaction With Cancer Care measure was administered to 891 participants from the multisite NCI-sponsored Patient Navigation Research Program. Principal components analysis (PCA) was conducted for latent structure analysis. Internal consistency was assessed using Cronbach coefficient alpha (α). Divergent analysis was performed using correlation analyses between the Patient Satisfaction With Cancer Care, the Communication and Attitudinal Self-Efficacy–Cancer, and demographic variables.
The PCA revealed a 1-dimensional measure with items forming a coherent set explaining 62% of the variance in patient satisfaction. Reliability assessment revealed high internal consistency (α ranging from 0.95 to 0.96). The Patient Satisfaction With Cancer Care demonstrated good face validity, convergent validity, and divergent validity, as indicated by moderate correlations with subscales of the Communication and Attitudinal Self-Efficacy–Cancer (all P < .01) and nonsignificant correlations with age, primary language, marital status, and scores on the Rapid Estimate of Adult Literacy in Medicine Long Form (all P > .05).
The Patient Satisfaction With Cancer Care is a valid tool for assessing satisfaction with cancer-related care for this sample. Cancer 2011. © 2010 American Cancer Society.