Psychometric testing of the Mandarin version of the 34-item Short-Form Supportive Care Needs Survey in patients with cancer in mainland China
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Although the Supportive Care Needs Survey is one of the most comprehensive and robust cancer-specific needs assessment instruments, no version exists specifically for cancer patients in mainland China. This study tested the psychometric properties of the Mandarin version of the 34-item Short-Form Supportive Care Needs Survey (SCNS-SF34-C (Mandarin)) in mainland Chinese cancer patients.
From December 2015 to May 2016, patients were recruited from two cancer centers in Guangzhou, China, to complete the SCNS-SF34-C (Mandarin). Exploratory factor analysis (EFA) was used to test the factor structure. The internal consistency, convergent validity, and discriminant validity of the resulting factor structure were evaluated by traditional psychometric analysis.
A total of 861 patients completed the SCNS-SF34-C (Mandarin). Item 14 was removed for its low factor loadings on every factor in the initial EFA. Using the remaining 33 items, the reiterated EFA produced a five-dimension structure that was consistent with the dimensions of the original version of the SCNS-SF34 (health system and information, psychological, patient care and support, physical and daily living, and sexuality), accounting for 69.757% of the total variance. Cronbach’s alpha coefficients ranged from 0.854 to 0.942 for the five domains and 0.947 for the whole scale. Convergent validity was verified by significant correlations with all corresponding instruments. It discriminated between groups based on age, sex, marital status, and stage of disease.
Preliminary evidence suggests that the SCNS-SF34-C (Mandarin) is a reliable and valid instrument for assessing the supportive care needs of cancer patients in mainland China.
KeywordsNeeds assessment Cancer Psychometrics Reliability Validity Questionnaires
This research was supported by grant #A2015141 from the Medical Scientific Research Foundation of Guangdong Province, China. The authors express thanks to Min Wei, Weiwen Cui, Qing Zhang, Guilian He, Jialing Lu, Xueying Xiao, Jingjing He, and Hongyan Shao for the contributions to questionnaire translation, data collection, and data management. The authors are grateful to every patient for participating in the survey. The authors thank Markeda Wade, ELS, at UTHealth School of Nursing for editorial review of the manuscript. Prof. Cui is supported by the National Natural Science Foundation of China (Grant No. 81372493). Dr. Wang is supported by the Robert Wood Johnson Foundation Nurse Faculty Scholars Program (Grant No. 71245). Dr. Boyes is supported by a National Health & Medical Research Council Early Career Fellowship (Grant No. 1073317) and Cancer Institute New South Wales Early Career Fellowship (Grant No. 13/ECF/1-37).
Compliance with ethical standards
The study was approved by the ethics committees of Sun Yat-Sen University Cancer Center and the Cancer Center of Guangzhou Medical University in Guangzhou, China.
Conflict of interest
The authors declare that they have no conflict of interest.
- 2.Quinten C, Coens C, Ghislain I et al (2015) The effects of age on health-related quality of life in cancer populations: a pooled analysis of randomized controlled trials using the European Organisation for Research and Treatment of Cancer (EORTC) QLQ-C30 involving 6024 cancer patients. Eur J Cancer 51:2808–2819CrossRefGoogle Scholar
- 12.McElduff P, Boyes A, Zucca A, Girgis A (2004) The supportive care needs survey: a guide to administration, scoring and analysis. Centre for Health Research & Psycho-Oncology, NewcastleGoogle Scholar
- 19.Jansen F, Witte BI, van Uden-Kraan CF, Braspenning AM, Leemans CR, Verdonck-de LI (2016) The need for supportive care among head and neck cancer patients: psychometric assessment of the Dutch version of the supportive care needs survey short-form (SCNS-SF34) and the newly developed head and neck cancer module (SCNS-HNC). Support Care Cancer 24:4639–4649CrossRefGoogle Scholar
- 27.Fayers PM, Aaronson NK, Bjordal K et al (2001) The EORTC QLQ-C30 scoring manual, 3rd edn. European Organization for Research and Treatment of Cancer, Brussels, BelgiumGoogle Scholar
- 29.Xiao SY (1994) Theoretical foundation and research application about the social support rating scale. J Clin Psychiat Med 4:98–100Google Scholar
- 30.Hair JF Jr, Anderson RE, Tatham RL, Black WC (1998) Multivariate data analysis, 5th edn. Prentice Hall, Upper Saddle River, NJGoogle Scholar
- 32.Gerstman BB (2008) Basic biostatistics: statistics for public health practice. Jones and Bartlett Publishers, SudburyGoogle Scholar
- 36.Ahern T, Gardner A, Courtney M (2016) Exploring patient support by breast care nurses and geographical residence as moderators of the unmet needs and self-efficacy of Australian women with breast cancer: results from a cross-sectional, nationwide survey. Eur J Oncol Nurs 23:72–80CrossRefGoogle Scholar