Psychometric Evaluation of the Patient Satisfaction With Logistical Aspects of Navigation (PSN-L) Scale Using Item Response Theory
Year: 2014
Type: article
Abstract: BACKGROUND: Patient navigation--the provision of logistical, educational, and emotional support needed to help patients "navigate around" barriers to high-quality cancer treatment offers promise. No patient-reported outcome measures currently exist that assess patient navigation from the patient's perspective. We use a partial independence item response theory model to report on the psychometric properties of the Patient Satisfaction with Navigation, Logistical measure developed for this purpose. METHODS: We used data from an ethnically diverse sample (n = 1873) from the National Cancer Institute Patient Navigation Research Program. We included individuals with the presence of an abnormal breast, cervical, colorectal, or prostate cancer finding. RESULTS: The partial independence item response theory model fit well. Results indicated that scores derived from responses provide extremely precise and reliable measurement between -2.5 SD below and 2 SD above the mean and acceptably precise and reliable measurement across nearly the entire range. CONCLUSIONS: Our findings provide evidence in support of the Patient Satisfaction with Navigation, Logistical. Scale users should utilize 1 of the 2 described methods to create scores.
Source: Medical Care
Institutions: University of Notre Dame, Northwestern University, Cincinnati Children's Hospital Medical Center, San Diego State University, University of Rochester Medicine, University of Cincinnati, University of Colorado Denver, Colorado School of Public Health, Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Denver Health Medical Center, George Washington University, The Ohio State University, Tufts University, The University of Texas at San Antonio Health Science Center
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
Awards: The Ohio State University Center for Clinical and Translational Science (KL2), The Ohio State University Center for Clinical and Translational Science (TL1), The Ohio State University Center for Clinical and Translational Science (UL1), Indiana Clinical and Translational Sciences Institute, The Ohio State University Center for clinical and Translational Science, G5330925875, The Ohio State University Center for Clinical and Translational Science (TL1), The Ohio State University Center for Clinical and Translational Science (KL2), The Ohio State University Center for Clinical and Translational Science (UL1), Cancer Center Support Grant
OpenAlex ID: W1971630426