Psychometric Properties of the Spinal Cord Injury-Quality of Life (SCI-QOL) Resilience Short Form in a Sample With Spinal Cord Injury

Abstract

ObjectiveTo explore the psychometric properties (eg, data distribution characteristics, convergent or discriminant validity, internal consistency reliability) of the Spinal Cord Injury-Quality of Life measurement system (SCI-QOL) Resilience 8-item short form (SF) in comparison to the criterion standard resilience measure, Connor Davidson Resilience Scale (CD-RISC) in a sample of individuals with spinal cord injury (SCI). DesignDescriptive statistics were calculated to examine variable data distribution characteristics. Correlation analyses were conducted for convergent and discriminant validity. Reliability statistics were calculated for resilience and other validity measures. SettingGeneral community. ParticipantsIndividuals with SCI (N=202; 51.5% male, 48% female). InterventionsNot applicable. Main Outcome MeasuresPatient-Reported Outcomes Measurement Information System measures (depression, anxiety, ability to participate in social roles and activities, pain intensity, fatigue, sleep disturbance), SCI-QOL short forms (SF) (resilience, positive affect and well-being, mobility), CD-RISC, National Institutes of Health Toolbox for Assessment of Neurological and Behavioral Function - perceived stress (NIH Toolbox-perceived stress), and the Satisfaction with Life Scale were administered. ResultsThe mean and SD for the SCI-QOL Resilience SF (mean=48.60; SD=8.20) approximated the normative mean (mean=50, SD=10). The SCI-QOL Resilience SF scores were essentially normally distributed though somewhat kurtotic, with skew=-0.17 and excess kurtosis=1.4; internal consistency reliability was good (Cronbach's alpha=0.89). Convergent validity was supported by significant moderate correlations in expected directions between the SCI-QOL Resilience SF and measures of CD-RISC resilience, depressive symptoms, anxiety, social participation, positive affect and well-being, stress, and satisfaction with life. Discriminant validity was supported by small non-significant correlations between the SCI-QOL Resilience SF and age, sex, injury level, time since injury, pain intensity, mobility, sleep disturbance, and fatigue. ConclusionThe SCI-QOL Resilience SF demonstrated good convergent and discriminant validity. Our study showed that the SCI-QOL Resilience SF is a psychometrically valid tool that can reliably estimate levels of resilience in the SCI population.