Literature DB >> 28551842

Psychometric testing of the Mandarin version of the 34-item Short-Form Supportive Care Needs Survey in patients with cancer in mainland China.

Yuan Han1,2, Ying Zhou2, Jing Wang3, Qian Zhao4, Huiying Qin5, Yuying Fan5, Yalan Song1, Allison Boyes6,7,8, Shuzhong Cui9.   

Abstract

PURPOSE: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.

Entities:  

Keywords:  Cancer; Needs assessment; Psychometrics; Questionnaires; Reliability; Validity

Mesh:

Year:  2017        PMID: 28551842     DOI: 10.1007/s00520-017-3750-4

Source DB:  PubMed          Journal:  Support Care Cancer        ISSN: 0941-4355            Impact factor:   3.603


  36 in total

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Authors:  B S Langenhoff; P F Krabbe; T Wobbes; T J Ruers
Journal:  Br J Surg       Date:  2001-05       Impact factor: 6.939

2.  An international validation study of the EORTC QLQ-INFO25 questionnaire: an instrument to assess the information given to cancer patients.

Authors:  Juan Ignacio Arraras; Eva Greimel; Orhan Sezer; Wei-Chu Chie; Mia Bergenmar; Anna Costantini; Teresa Young; Karin Kuljanic Vlasic; Galina Velikova
Journal:  Eur J Cancer       Date:  2010-07-30       Impact factor: 9.162

3.  The unmet supportive care needs of patients with cancer. Supportive Care Review Group.

Authors:  R Sanson-Fisher; A Girgis; A Boyes; B Bonevski; L Burton; P Cook
Journal:  Cancer       Date:  2000-01-01       Impact factor: 6.860

4.  Translation of Supportive Care Needs Survey Short Form 34 (SCNS-SF34) into Italian and cultural validation study.

Authors:  Anita Zeneli; Elisa Fabbri; Elena Donati; Grainne Tierney; Stefania Pasa; Maria Alejandra Berardi; Marco Maltoni
Journal:  Support Care Cancer       Date:  2015-07-14       Impact factor: 3.603

Review 5.  Patients' needs assessment in cancer care: a review of assessment tools.

Authors:  Alison Richardson; Jibby Medina; Vivienne Brown; John Sitzia
Journal:  Support Care Cancer       Date:  2007-01-19       Impact factor: 3.603

6.  Development and feasibility assessment of telephone-delivered supportive care to improve outcomes for patients with colorectal cancer: pilot study of the CONNECT intervention.

Authors:  Jane Young; James Harrison; Michael Solomon; Phyllis Butow; Rebecca Dennis; Daine Robson; Sally Auld
Journal:  Support Care Cancer       Date:  2009-07-22       Impact factor: 3.603

7.  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.

Authors:  Tracey Ahern; Anne Gardner; Mary Courtney
Journal:  Eur J Oncol Nurs       Date:  2016-05-20       Impact factor: 2.398

8.  Evaluation of the Chinese version of the Hospital Anxiety and Depression Scale. A cross-cultural perspective.

Authors:  C M Leung; S Ho; C S Kan; C H Hung; C N Chen
Journal:  Int J Psychosom       Date:  1993

9.  Most prevalent unmet supportive care needs and quality of life of breast cancer patients in a tertiary hospital in Malaysia.

Authors:  Zobaida Edib; Verasingam Kumarasamy; Norlia Binti Abdullah; A M Rizal; Sami Abdo Radman Al-Dubai
Journal:  Health Qual Life Outcomes       Date:  2016-02-22       Impact factor: 3.186

10.  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.

Authors:  Chantal Quinten; Corneel Coens; Irina Ghislain; Efstathios Zikos; Mirjam A G Sprangers; Jolie Ringash; Francesca Martinelli; Divine E Ediebah; John Maringwa; Bryce B Reeve; Eva Greimel; Madeleine T King; Kristin Bjordal; Hans-Henning Flechtner; Joseph Schmucker-Von Koch; Martin J B Taphoorn; Joachim Weis; Hans Wildiers; Galina Velikova; Andrew Bottomley
Journal:  Eur J Cancer       Date:  2015-11-19       Impact factor: 9.162

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  4 in total

1.  Evaluation of psychometric properties of needs assessment tools in cancer patients: A systematic literature review.

Authors:  Lang Tian; Xiaoyi Cao; Xielin Feng
Journal:  PLoS One       Date:  2019-01-08       Impact factor: 3.240

2.  Reliability and validity of the mandarin version of the supportive care needs survey short-form (SCNS-SF34) and the head and neck cancer-specific supportive care needs (SCNS-HNC) module.

Authors:  Jianxia Lyu; Li Yin; Ping Cheng; Bin Li; Shanshan Peng; Chunlian Yang; Jing Yang; Haixin Liang; Qinghua Jiang
Journal:  BMC Health Serv Res       Date:  2020-10-16       Impact factor: 2.655

3.  Translation and validation of the Chinese version of medical maximizer-minimizer scale: a cross-sectional study.

Authors:  Fenghua Lai; Ling Pei; Shufan Yue; Xiaopei Cao; Haipeng Xiao; Yanbing Li; Jin Li
Journal:  BMJ Open       Date:  2021-01-06       Impact factor: 2.692

4.  High level of unmet needs and anxiety are associated with delayed initiation of adjuvant chemotherapy for colorectal cancer patients.

Authors:  Li Zhu; Yi Xin Tong; Xiang Shang Xu; Ai Tang Xiao; Yu Jie Zhang; Sheng Zhang
Journal:  Support Care Cancer       Date:  2020-02-28       Impact factor: 3.603

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