This study describes the psychometric properties of a Hong Kong Chinese version of the short form of the Support Person’s Unmet Needs Survey (SPUNS-SF) for caregivers of patients with cancer. A convenience sample of 280 patient-caregiver dyads was recruited between April and June 2018. A subsample of 70 caregivers completed the survey again, two weeks later. A confirmatory factor analysis (CFA) examined the instrument’s factorial structure, ordinal alpha coefficients evaluated the internal consistency, and intra-class correlation coefficients (ICCs) assessed the test-retest reliability. Convergence validity was evaluated by the correlations with sleep disturbance and caregiver burden in caregivers. The Hong Kong Chinese version of the SPUNS-SF (SPUNS-SFHKC) had a high completion rate of 96.8% (271/280) among caregivers. The original five-factor model provided an acceptable fit with the data in the CFA. The ordinal alpha coefficients were 0.866–0.945, and the two-week test-retest reliabilities were 0.524–0.678. The correlations of the five domains of the SPUNS-SFHKC with caregiver burden were 0.257–0.446, and for sleep disturbance were 0.075–0.464. The SPUNS-SFHKC has a suitable factor structure and psychometric properties for use in assessing unmet supportive needs among Chinese caregivers of patients with cancer. The applicability of the instrument for long-term use still needs to be studied.
Tablet-assisted symptom assessment is a feasible method that can be further tested in busy clinical settings to assess symptom burden and identify individual needs for tailoring symptom management plans.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.