Evidence map›Paper›PMID 28551842›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2017

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

Yuan Han, Ying Zhou, Jing Wang, Qian Zhao, Huiying Qin, Yuying Fan, Yalan Song, Allison Boyes, Shuzhong Cui

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  7. Trajectory patterns and influencing factors of supportive care needs in Chinese elderly breast cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yuan HanCancer Center of Guangzhou Medical University, No. 78, Hengzhi Gang Road, Guangzhou, China.
Ying ZhouSchool of Nursing, Guangzhou Medical University, Guangzhou, China.
Jing WangSchool of Nursing, The University of Texas Health Science Center, Houston, USA.
Qian ZhaoSchool of Public Health, Guangzhou Medical University, Guangzhou, China.
Huiying QinSun Yat-Sen University Cancer Center, Sun Yat-Sen University, Guangzhou, China.
Yuying FanSun Yat-Sen University Cancer Center, Sun Yat-Sen University, Guangzhou, China.
Yalan SongCancer Center of Guangzhou Medical University, No. 78, Hengzhi Gang Road, Guangzhou, China.
Allison BoyesPriority Research Centre for Health Behavior, The University of Newcastle, Newcastle, Australia.
Shuzhong CuiCancer Center of Guangzhou Medical University, No. 78, Hengzhi Gang Road, Guangzhou, China. cuishuzhong@gzhmu.edu.cn.

Funding

Cancer Institute New South Wales Early Career Fellowship 13/ECF/1-37Medical Scientific Research Foundation of Guangdong Province, China A2015141National Health and Medical Research Council Early Career Fellowship 1073317National Natural Science Foundation of China 81372493Robert Wood Johnson Foundation Nurse Faculty Scholars Program 71245
6 · The paper itself

Abstract

purposeAlthough 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.

methodsFrom 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.

resultsA 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.

conclusionsPreliminary 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.

Indexed as

AdolescentAdultAgedAged, 80 and overChinaFemaleHumansLanguageMaleMiddle AgedNeeds AssessmentNeoplasmsPsychometricsReproducibility of ResultsSurveys and QuestionnairesYoung AdultCancerNeeds assessmentPsychometricsQuestionnairesReliabilityValidity

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.