Cultural adaptation and validation of the Survivor Unmet Needs Survey Short-Form among cancer patients in China.

Confirmatory factor analysis supported the four-factor structure with good model fit. Cronbach's alpha of 0.894 for the overall scale and intra-class correlation coefficients (0.869-0.884) indicated that reliability was satisfactory. The EFA extracted four factors with eigenvalues greater than 1 and these factors explained 50.68% of the total variance. The Chinese version of SF-SUNS was confirmed to have the potential to become a useful and valid instrument. It could contribute to the assessment of unmet needs among Chinese cancer patients with accuracy and with respect to Chinese culture and context. This measurement of unmet needs may help promote cancer management and nursing quality. Clinical nurses and researchers could use the simple assessment tool to target the individual needs of Chinese cancer patients and then provide more personalized care efficiently.