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Psychometric development and reliability analysis of a patient satisfaction with interpersonal relationship with navigator measure: a multi‐site patient navigation research program study
Author(s) -
JeanPierre Pascal,
Fiscella Kevin,
Winters Paul C.,
Post Douglas,
Wells Kristen J.,
McKoy June M.,
Battaglia Tracy,
Simon Melissa A.,
Kilbourn Kristin
Publication year - 2012
Publication title -
psycho‐oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.41
H-Index - 137
eISSN - 1099-1611
pISSN - 1057-9249
DOI - 10.1002/pon.2002
Subject(s) - measure (data warehouse) , reliability (semiconductor) , interpersonal communication , psychology , interpersonal relationship , applied psychology , patient satisfaction , computer science , social psychology , medicine , nursing , data mining , power (physics) , physics , quantum mechanics
Background Patient navigation (PN) is a method for addressing racial–ethnic and socioeconomically based disparities in cancer‐related care. Patient navigators provide logistic and emotional support to underserved patients to facilitate successful completion of diagnostic and treatment care. Yet, little is known about patient satisfaction with the relationship with a navigator due to a dearth of instruments measuring satisfaction. Objective The objective of this study was to validate the Patient Satisfaction with Interpersonal Relationship with Navigator (PSN‐I) measure for patients undergoing diagnostic and/or therapeutic cancer care. Methods We administered the PSN‐I to 783 participants from the nine different sites of the National Cancer Institute sponsored Patient Navigation Research Program. We evaluated the latent structure and internal consistency of the PSN‐I using principal components analysis (PCA) and Cronbach coefficient alpha ( α ), respectively. We used correlation analyses to examine divergence and convergence of the PSN‐I with the Patient Satisfaction with Cancer‐related Care (PSCC), the Rapid Estimate of Adult Literacy in Medicine (REALM) Long Form, and patients' demographics. Results The PCA revealed a coherent set of items that explicates 76.6% of the variance in PSN‐I. Reliability assessment revealed high internal consistency ( α ranging from 0.95 to 0.96). The PSN‐I had good face validity as well as convergent and divergent validities as indicated by moderate correlations with score on the PSCC (all p s < 0.0001) and non‐significant correlations with primary language, marital status, and scores on the REALM Long Form (all p s > 0.05). Conclusion The PSN‐I is a valid and suitable measure of satisfaction with a patient navigator for the present sample. Copyright © 2011 John Wiley & Sons, Ltd.

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