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Updated: Sep 30, 2025

Evaluating the Role of Mitochondrial Function in Cancer-related Fatigue
Published on: May 17, 2018
Development and preliminary testing of the cancer-related fatigue comprehensive assessment scale in cancer survivors
Shuaini Li1,2, Yating Gao1, Ying Lin1
1Hangzhou Normal University, Hangzhou, Zhejiang Province, China.
Background:
Tailored management of cancer-related fatigue (CRF) is important for effective coping; however, it has been hindered by the lack of a comprehensive tool that assesses both symptoms and treatable influencing factors.
Aims And Objectives:
The aim was to develop a cancer-related fatigue comprehensive assessment scale (CRF-CAS) and assess its psychometric properties.
Design:
This was a mixed-method study.
Methods:
The study included two phases which were conducted in Zhejiang Province, China. In phase one, a literature search, brainstorming sessions, Delphi studies, cognitive interviews and a pilot study were conducted to construct and revise CRF-CAS indicators. In phase two, a questionnaire-based survey was conducted among cancer survivors. Item analysis was used to select and optimize indicators. Cronbach's α was calculated for reliability analysis. Validity analysis included concurrent validity and structural validity.
Results:
A 93-item tool was initially constructed. Phase one ended with revision and optimization. The preliminary scale included five dimensions (CRF symptoms, physical activity, cognitive-emotional status, sleep status, nutritional status) and 30 items. The mean item-content validity index (I-CVI) and scale-level CVI universal agreement (S-CVI/UA) were .98, and the adjusted mean values of Kappa for indicators ranged from .91-1, as evaluated by the expert group. The Pearson correlation coefficient between the CRF-CAS and criterion scales ranged from .337-.862. Cronbach's α coefficient ranged from .624-.728. Respondents agreed that the scale was acceptable for administration and that it contributed to decision-making in fatigue management. Confirmatory factor analysis (CFA) indicated that the CRF-CAS fit well.
Conclusions:
The construction process of the CRF-CAS, involving panel discussion and expert and participant evaluations, was shown to be scientific and feasible. The CRF-CAS had relatively good validity and reliability in version 5 of its preliminary scale, which requires further improvement in future studies.
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