Cancer related fatigue measurement scales: A systematic review

• Published in: Indian journal of public health 2023-07, Vol.67 (3), p.448-454
• Main Authors: Poopady, Arpitha, Nayak, Sabitha, D'Silva, Fatima, Kamath, Neetha, Suresh, Sucharitha, Shetty, Jayaram
• Format: Article
• Language: English
• Subjects: Cancer; cancer-related fatigue; Fatigue; Measurement; measurement scales; Patient compliance; Populations; Quantitative psychology; Reliability; Search engines; Searching; Systematic review; Validity
• ISSN: 0019-557X; 2229-7693
• DOI: 10.4103/ijph.ijph_1025_22

Cancer-related fatigue (CRF) is a common symptom experienced by all the cancer patients at all stages of the disease and in survivors. Fatigue from cancer is one of the understated, underestimated, and least managed. Several scales have been developed to measure CRF, but they vary in the quality of psychometric properties, ease of administration, and dimensions of CRF. This systematic review explores the validity and reliability of the different CRF measurement scales. A systematic review methodology was followed to identify the scales that have been validated to measure CRF. Three separate databases PubMed, CINAHL, and Google Scholar searches were performed using different medical subject heading terms. Articles were analyzed for validity and reliability. A total of 1294 articles from three different searches identified 15 scales (unidimensional and multidimensional). Each scale varied by its psychometric properties, items, scale type, dimension, site of cancer, and population in which it is validated. Most of the scales had been validated in mixed cancer populations. Some scales are insensitive to differences in fatigue to cancer stages. Few scales are burdensome for the advanced cancer patients. In this study, 15 CRF scales were identified. Validity and reliability are varied by each questionnaire. The ideal and accepted item numbers, scale, and domains are not established. The psychometric properties of each measure require further consideration. More studies are needed to explore fatigue scales with many populations.