The Functional Assessment of Chronic Illness Therapy - Fatigue (FACIT-Fatigue Subscale): Validity and Reliability of the Iranian Version

Meysami, Ali Pasha; Yari, H.; Haghighat, Setareh; Montazeri, Ali

doi:10.1159/000479588

Cited by 7 publications

(9 citation statements)

References 29 publications

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“…Eden and Kunkel [21] validated the FACT-F with patients with head and neck cancer and reported good internal consistency (Cronbach's alpha: 0.87) and test-retest reliability (r ¼ 0.95). Other psychometric studies using the instrument translated it into Spanish [61], French and Dutch [70], Japanese [40], Persian [71] and Portuguese [26,72]. Internal consistency of the translated scales ranged from between 0.79 and 0.94.…”

Section: Section Two: Scale Characteristicsmentioning

confidence: 99%

Quality assessment criteria: psychometric properties of measurement tools for cancer related fatigue

et al. 2019

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Background: Fatigue is a common and distressing cancer symptom that negatively affects the quality of life. Many scales have been developed to assess cancer-related fatigue. The properties of the scales vary in terms of dimensionality, reliability, validity, length and method of administration. Insufficient of psychometric properties may affect the accuracy of scales findings, that may lead result obtained questionable. The main objective of this review was to conduct a quality assessment of the psychometric properties of cancer-related fatigue scales to identify appropriate scales that could be used in research and clinical practice. Method: A systematic search was carried out to identify validated scales that measure cancer-related fatigue. Five databases were searched: CINAHL, MEDLINE, EMBASE, PsycINFO, Cochrane Library. This review was conducted following the PRISMA and Terwee et al.'s quality assessment guidelines to evaluate the psychometric properties of the studies.Result: Seventy-one different studies published between 1970 and 2018 met the inclusion criteria. Twenty-five scales were identified. Of these, eighteen were multidimensional and seven were unidimensional, containing between 4 and 72 items. Reliability and/or validity information was missing for many scales. Four scales met the quality assessment criteria and were reported as the most appropriate for measuring fatigue in cancer patients. Conclusion: Further psychometric testing is required for other scales. Developing a universally-defined tool kit for the assessment of cancer-related fatigue may help clarify the concept of fatigue and promote a systematic approach to fatigue measurement.

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Section: Section Two: Scale Characteristicsmentioning

confidence: 99%

Quality assessment criteria: psychometric properties of measurement tools for cancer related fatigue

et al. 2019

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“…The Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-Fatigue) instrument was developed to measure fatigue in patients with cancer (Yellen et al, 1997). This instrument has been used worldwide in research on patients with cancer (Meysami et al, 2017) and other chronic diseases (Cella et al, 2019; Çinar & Yava, 2018; Eek et al, 2019). Although the items of this instrument were generated based on the multidimensional concept of fatigue (i.e., fatigue severity and its impact on functions), its multidimensionality has not been confirmed in prior studies and, thus, the use of its subscales has yet to be scientifically justified (Cella et al, 2011; Montan et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Psychometric Evaluation of the Korean Version of the Functional Assessment of Chronic Illness Therapy-Fatigue

Lee

Kim

2022

Journal of Nursing Research

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Cancer is a prevalent disease worldwide. According to a report by the Organization for Economic Cooperation and Development (2021), the average incidence rate of cancer is 294 per 100,000 population, and cancer is the second most common cause of death in Organization for Economic Cooperation and Development member countries. The incidence rate in Korea is also high at 243 per 100,000, with cancer ranking as the most prominent cause of death in the country (27.0%; Statistics Korea, 2021).Fatigue is one of the most commonly occurring subjective symptom in patients with cancer (Berger et al., 2020) and may be associated with either the cancer itself or related treatments and often does not improve with rest (Cella et al., 2002). Severe fatigue has been shown to impair physical function, reduce quality of life, delay treatment, and increase mortality (Mai et al., 2019). Thus, accurate and efficient fatigue assessment is essential for the successful completion of cancer treatment and improvement of survival rates in patients with cancer.Fatigue in patients with cancer is often assessed using selfreport questionnaires that employ either a unidimensional scale or a multidimensional scale. Examples of questionnaires featuring unidimensional scales include the Profile of Mood States Fatigue (McNair et al., 1992), the Brief Fatigue Inventory (Mendoza et al., 1999), and the Fatigue Severity Scale (Krupp et al., 1989). Examples of widely used multidimensional scales include the Piper Fatigue Scale (Piper et al., 1989), the Multidimensional Fatigue Symptom Inventory (Stein et al., 2004), and the Multidimensional Fatigue Inventory-20 (Smets et al., 1995). Unidimensional fatigue scales measure fatigue severity only and, as a result of their brevity, are well suited to clinical settings (Aghdam et al., 2019

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“…FACIT-F 40-items has been validated for use with a variety of cancer diagnoses and treatments; the original scale showed strong internal consistency (coefficient alpha 0.93e0.95) and good stability (test-retest, r ¼ 0.87). 6 Other studies using the instrument have translated it into Spanish, 8 French and Dutch, 9 Japanese, 10 Persian, 11 and Portuguese. 12,13 The internal consistency in the translated versions ranged from 0.79 to 0.94.…”

Section: Introductionmentioning

confidence: 99%

Psychometric Properties of the Arabic Version of the Functional Assessment of Chronic Illnesses Therapy–Fatigue in Arabic Cancer Patients

Maqbali

Hughes

Gracey

et al. 2020

Journal of Pain and Symptom Management

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Background. The Functional Assessment of Chronic Illness Therapy (FACIT) is a measurement system that was developed to assess the health-related quality of life among patients with cancer and other chronic illnesses. The Functional Assessment of Chronic Illness TherapyeFatigue (FACIT-F) is a 40-item questionnaire, and it is one of the most frequently used instruments to assess fatigue in cancer populations. The aim of this study was to evaluate the psychometric properties of the Arabic FACIT-F among patients diagnosed with cancer. Methods. Following a translated and cross-cultural evaluation procedure of the FACIT-F Arabic version, a cross-sectional and descriptive correlational design was conducted. A total of 369 patients with cancer completed the FACIT-F, which consists of the 27-item Functional Assessment of Cancer TherapyeGeneral (FACT-G) and the 13-item Functional Assessment of Chronic Illness TherapyeFatigue (FACIT-F). The scale was assessed in terms of acceptability, internal consistency, and validity. Construct validity was explored through confirmatory factor analysis. Results. The FACT-G had acceptable fit in the four-factor model, whereas the FACIT-Fatigue was found to be acceptable for the one-factor model in Arabic patients diagnosed with cancer. The Cronbach's alpha coefficient for the Arabic FACIT-Fatigue was 0.92, whereas the total score for FACT-G was 0.92, which showed good reliability. There was evidence that discriminated validity analysis was generally very good for the FACIT-Fatigue and FACT-G Arabic versions. Conclusion. The Arabic versions of the FACIT-Fatigue and FACT-G demonstrated good reliability and validity for assessing fatigue and quality of life in patients diagnosed with cancer.

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The Functional Assessment of Chronic Illness Therapy - Fatigue (FACIT-Fatigue Subscale): Validity and Reliability of the Iranian Version

Cited by 7 publications

References 29 publications

Quality assessment criteria: psychometric properties of measurement tools for cancer related fatigue

Quality assessment criteria: psychometric properties of measurement tools for cancer related fatigue

Psychometric Evaluation of the Korean Version of the Functional Assessment of Chronic Illness Therapy-Fatigue

Psychometric Properties of the Arabic Version of the Functional Assessment of Chronic Illnesses Therapy–Fatigue in Arabic Cancer Patients

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