To examine the reliability and validity and to decrease the battery of items in the ain are uality (Pain) Surveys.
Data Sources/Study Setting
Patient‐reported data were collected prospectively from 337 hospitalized adult patients with pain on medical/surgical oncology units in four hospitals in three states.
This methodological study used a cross‐sectional survey design. Each consenting patient completed two Pain Surveys, the rief ain nventory‐hort orm, and demographic questions. Clinical data were extracted from the medical record.
Data Collection/Extraction Methods
All data were double entered into a icrosoft ccess database, cleaned, and then extracted into ,, and plus for analysis.
Confirmatory factor analysis using tructural quation odeling supported the initial factor structure. Modification indices guided decisions that resulted in a superior, parsimonious model for the (six items, two subscales) and (14 items, three subscales). Cronbach's alpha coefficients all exceeded .80.
Cumulative evidence supports the reliability and validity of the companion Pain Surveys in hospitalized patients with pain in the oncology setting. The tools may be relevant in both clinical research and quality improvement. Future research is recommended in other populations, settings, and with more diverse groups.
