Objective To translate and validate the Cancer-Related Fatigue (CRF) Scale in the Greek language.
Design A cross-sectional descriptive design was used in order to translate and validate the CRF Scale in Greek. Factor analyses were performed to understand the psychometric properties of the scale and to establish construct, criterion and convergent validity.
Setting Outpatients' oncology clinics of two public hospitals in Cyprus.
Participants 148 patients with advanced prostate cancer undergoing chemotherapy.
Results The Cancer Fatigue Scale (CFS) had good stability (test–retest reliability r=0.79, p<0.001) and good internal consistency (Cronbach's α coefficient for all 15 items α=0.916). Furthermore, the Kaiser-Meyer-Olkin Measure of Sampling Adequacy (KMO value) was found to be 0.743 and considered to be satisfactory (>0.5). The correlations between the CFS physical scale (CFS-FS scale) and the European Organization for Research and Treatment of Cancer (EORTC) QLQ-C30 physical subscales were found to be significant (r=−0.715). The same occurred between CFS cognitive and EORTC cognitive subscale (r=−0.579). Overall, the criterion validity was verified. The same occurs for the convergent validity of the CFS since all correlations with the Global Health Status (q29–q30) were found to be significant.
Conclusions This is the first validation study of the CRF Scale in Greek and warrant of its use in the assessment of prostate cancer patient's related fatigue. However, further testing and validation is needed in the early stages of the disease and in patients in later chemotherapy cycles.
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Strengths and limitations of the study
The current study adapted and validated the Cancer Fatigue Scale (CFS) in a site-specific cancer population (patients with advanced prostate cancer) through a rigorous methodological approach.
The aforementioned scale was validated through factor analysis in order to describe its psychometric properties.
The study provided information on the validity of the CSF scale on outpatients. Further validation is needed for inpatients with similar clinical characteristics.
A stratified sampling method would allow the consideration of important factors such as the stage of the disease (ie, earlier stages) and chemotherapy cycles (ie, patients in later chemotherapy cycles).
A widely used definition of cancer-related fatigue (CRF), is the one proposed by the National Comprehensive Cancer Networks definition (NCCN): ‘CRF is a distressing persistent, subjective sense of physical, emotional and/or cognitive tiredness related to cancer or cancer treatment that is not proportional to recent activity and interferes with usual functioning’1, (FT1). A different conceptual perspective was proposed by Cella et al2 who stated that: “Fatigue is a subjective state of overwhelming and sustained exhaustion and decreased capacity for physical and mental work that is not revealed by rest” (ref. 2, p. 369).
In the first definition, fatigue is described as a subjective sense and in the second, it is described as a subjective state. Subjective means that it is totally to the patient's discretion to feel it or express it, which could lead us to the use of self-reported measures. Therefore, sense means that the patient has this feeling and state means that the patient is at that particular condition in that specific time.
In relation to assessment, the definition of Cella et al2 provides the different ways by which fatigue is distinct from normal tiredness, including its severity and chronicity and at the same time underlines that it cannot be affected by actions that typically provide relief from tiredness, as well as emphasising its clinical significance and its multidimensional qualities.3
As far as the definition of NCCN,2 this does not include the severity of the symptom as well as its continuity, since fatigue can continue to affect the patient following the completion of the cancer treatment during the survivorship phases.4 ,5
The prevalence of CRF, ranges from 59% to 100% according to the clinical status of cancer.5 CRF occurs during and after treatment in 70–80% of patients in the clinical trial setting and is distinct to the type of cancer, treatments and method of assessment.6 Although patients with prostate cancer tend to report lower severe fatigue levels compared with other patients (ie, patients with breast cancer),7 they were most likely to report fatigue of more than 6 months' duration.8 Furthermore, patients with prostate cancer tend to report higher levels and more severe fatigue as the disease progressed.6 This results in a considerable impact on a patient's ability to function over time (physical and cognitive); hence, this symptom is among the most distressing all of those reported by patients. The prevalence of fatigue and the factors that predict interindividual differences in trajectories of fatigue among patients with prostate cancer can differ when compared with patients with other types of cancer.9 For example, patients with prostate cancer on androgen deprivation therapy (ADT) can experience ADT-induced fatigue. This fatigue is a complex multidimensional entity with multifactorial and complex pathophysiology that shares many overlapping features with other ADT-related toxicities such as depression, low mood and reduced libido.10
International literature supports that there is a multidimensionality to fatigue that called for different scales as an effort to capture the different dimensions of fatigue as best as possible.3 As a result, the use of different measuring tools created a difficulty to compare the findings of the different studies.3
The assessment of CRF can include varying methods including: (1) unidimensional scales and (2) multidimensional scales.3 ,4 ,11 Unidimensional scales tend to assess only one dimension of fatigue (ie, the physical), whereas multidimensional scales assess two to five different aspects of fatigue (ie, behavioural, cognitive, somatic and affective).11 Unidimensional scales employ a single item for assessing fatigue as part of a symptom checklist. Those include but are not limited to: (1) the Symptoms Distress Scale or McClorke and Young's Symptom Distress Scale12 and (2) the Rotterdam's Symptoms Checklist.13
The Symptoms Distress Scale assesses cancer-related symptoms in which patients have to respond about how they have been feeling during the preceding week. The scale consists of 13 items corresponding to different symptoms, assessing the patient's response on a 5-point Likert scale (5 indicates the most distress). This scale has been mainly used in patients with lung cancer.14 ,15
Other symptoms include: (1) nausea, (2) mood, (3) appetite, (4) insomnia, (5) pain, (6) bowel patterns, (7) concentration and (8) appearance. The above can be summed to provide total symptom distress ranging from 13 to 65 with greater levels of symptoms distress indicated by higher scores.16 The reliability of the Symptom Distress Scale was found to be 0.82 when assessed on 53 patients with chronic illness,16 whereas the validity of the scale had been established by the identification of concerns of 86 patients receiving chemotherapy or radiation therapy.17
The Rotterdam's Symptoms Checklist13 was first used to assess the psychological and physical distress of patients with cancer in three studies. The first study was conducted on 95 female patients with cancer of an outpatient clinic for chemotherapy or follow-up. The second study was a randomised controlled trial comparing two types of chemotherapy in 56 women with ovarian cancer. The third study compared the quality of life in different types of patients with cancer with that of a group of ‘normal’ controls (n=609). The Rotterdam's Symptoms Checklist was found to be reliable with a Cronbach's α ranging from 0.88 to 0.94.
A modified version of the Rotterdam Symptoms Checklist was also found to be reliable (α=0.88) and valid (convergent validity) in a group of 1005 male and female patients with cancer. The tool was highly correlated to the Medical Outcomes Study 36-Item Short-Form Health Survey, physical functioning scale (MOS-SF-36 PF scale) (r=−0.59) and the Medical Outcomes Study 36-Item Short-From Health Survey, General Health scale (MOS SF-36 GH scale) (r=−0.61). Weaker correlations were found in relation to the Mood and Physical Symptoms Scale (r=−0.21) and the Functional Assessment of Chronic Illness Therapy Spiritual Well-Being (r=0.31).
The other widely used scale is the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire Core 30 (QLQ-C30) quality of life measure.18 The EORTC QLQ-C30 consists of 30 items regarding the quality of life. It has been used in two studies,19 ,20 in a population exceeding 2000 patients in each study where the tool demonstrated good psychometric properties. However, in the study of Knobel et al,19 the EORTC QLQ-C30 was found to have a ceiling effect in patients with advanced cancer and is therefore not recommended to be used solely for this group. Nevertheless, an advantage of the scale is its ability to show fatigue data in studies when the full instrument is used.11 In addition, the scale was not designed to measure explicitly CRF. The EORTC QLQ-C30 has been validated in Greek.21
The Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36)22 includes a fatigue subscale consisting of four items measuring the frequency of fatigue during the preceding 4 weeks. Although it is considered to be useful for measuring a general health status, it is neither limited nor explicitly designed to measure CRF. The SF-3622 has been validated in Greek.23 The MDAnderson Symptom Inventory (MDASI) assesses the severity of 13 common (core) cancer-related symptoms: pain, fatigue (tiredness), nausea, disturbed sleep, being distressed, shortness of breath, difficulty remembering, lack of appetite, feeling drowsy, dry mouth, feeling sad, vomiting and numbness or tingling.24 Fatigue is assessed by a single item that measures the severity of fatigue in the previous 24 hours. The inventory was found to have an internal consistency of α=0.85–0.87 and it was validated to measure CRF although it is only limited to the severity of the assessment.23 The MDASI has been validated in Greek.25
In addition, the Zung Self-Rating Depression Scale26 encompasses a single fatigue item that is assessed on a 4-point Likert Scale (none, some of the time, most of the time, all of the time), during the preceding week. Although the scale was found to be a simple screening tool, it has not been developed for CRF and cannot measure CRF severity.4
There are also independent single-item tools that focus on the assessment of fatigue, such as the Rhoten Fatigue Scale.27 This is a single-item 0–10 point graphic rating scale that measures the fatigue severity in the present. This scale is simple and easy to use, regardless of its limitation to severity assessment and not being developed to measure CRF explicitly.4 In addition, the Visual Analogue Fatigue Scale28 is a 10 cm visual analogue scale designed to measure fatigue severity from ‘I do not feel tired’ to ‘I feel totally exhausted’ and is considered to be simple and easy to use, even on healthy individuals. However, it is limited to severity assessment and is considered to be inappropriate for many types of statistical evaluation.4
The Brief Fatigue Inventory (BFI)29 is a 9-items numerical scale, which was originally validated in 305 patients with various types of cancer. Its internal consistency was found to be α=0.96 and its convergent validity against Profile of Moods States Fatigue subscale (POMS-F) was found to be r=0.84. The BFIs cut-off scores to differentiate between mild, medium and severe fatigue, had not been validated and are considered to be used solely for screening purposes.4 The BFI has been validated in Greek.30
The Functional Assessment of Cancer Therapy Fatigue (FACT-F) subscale31 is a 13-item scale, mainly used in interventional studies. Its validation was made in a sample of 50 patients with cancer with various cancer diagnoses. Its internal consistency was found to be α=0.95 for physical functioning and the test–retest reliability as r=0.90.32
Finally, the POMS-F33 was primarily used as a measure of workforce health. POMS-F consists of seven items and was used in a 695 mixed work population and psychiatric patients. Its internal consistency was found to be α=0.90–0.94 in relation to physical functioning and the test–retest reliability showed r=0.66. The POMS-F has been used in non-cancer population34 and in cancer population.35
Literature shows that there is a wide range of multidimensional scales for assessing fatigue such as the: (1) Lee Fatigue Scale (LFS),36 (2) FACT-F,31 (3) Multidimensional Fatigue Symptom Inventory,37 (4) Fatigue Assessment Questionnaire,38 (5) Revised Paper Fatigue Scale (PFS-R),39 (6) Revised Shwartz Cancer Fatigue Scale,40 (7) Cancer Fatigue Scale (CFS),41 (8) Fatigue Symptom Inventory42 ,43 and (9) the Chalder Fatigue Scale.44
These multidimensional scales are not without limitations. The LFS36 has not been designed for patients with cancer and the PFS-R,39 which even though used in a number of studies with patients with breast cancer undergoing chemotherapy,41–46 it could only be used in patients currently experiencing fatigue and has limited applicability to other cancer types.45–50
Thus, the scope of the current study is a twofold one. First, to translate and validate the multidimensional CFS in Greek and second to validate the scale in a specific group of patients, explicitly those diagnosed with prostate cancer. This is a major contribution to the relevant literature as the original study as well as the subsequent validations studies did not test the CFS in this specific population.
Design, sample population
This was a cross-sectional descriptive study performed at the Outpatients Oncology Clinics of two public hospitals in Cyprus that receive the highest numbers of outpatient visits per year. These were purposively chosen in order to provide a better generalisability to the sample, as patients come from all geographical regions.
The study included patients with advanced prostate cancer, under hormonal therapy with no response, as well as on chemotherapy treatment primarily with docetaxel or combination chemotherapy. The patients were recruited during the follow-up visit following the completion of the third cycle of treatment where they completed the CFS. In order to assess the test–retest reliability of the scale, a repeated measure was completed by the patients with an interval of 8 days. The target for the test–retest analysis was at least 50% of all participants. Non-Greek speaking patients, and patients with a score <50 on the Karnofsky Performance Scale Index or a mean of <50 on the Attentional Function Index (AFI) were excluded from the study. The Karnofsky Performance Scale index score was set to 50 to ensure that patients taking part in the study did not have a significant functional impairment that would not allow them to independently and accurately complete the assessment scale. The AFI score was set to 50, to ensure that patients did not have severe cognitive alterations on their daily functioning, as these were imposed by cancer, treatment or fatigue. Such alterations could negatively impact on the patients' ability to successfully complete the assessments. Additional exclusion criteria included patients: (1) receiving or planned to receive conventional or complementary treatment for fatigue or (2) with an impaired cognitive ability or (3) that were referred to palliative care services for end-of-life care.
Prior to the study, the participants received written information on the aims and objectives of the study. A written consent was obtained by every participant. The study is in line with the principles described by the Helsinki Declaration.54
The CFS41 consists of 15-items that assess fatigue in relation to physical, affective and cognitive dimensions in the present moment. Each item is assessed on a 5-point Likert scale. Its internal consistency was found to be α=0.79–0.89.41 It is also considered to be simple and easy to complete and applicable to patients currently experiencing fatigue. The validity and reliability of the scale has been tested in German, Chinese and Arabic.51–53
The German validation study of Kröz et al51 on a sample of 114 patients with cancer, illustrated that the scale demonstrated a strong construct and content validity. Reliability results showed: Cronbach's a: r=0.94, retest reliability: rrt=0.82. The convergence criteria correlate was found to be between r=0.44 and r=0.65 (all p<0.001).
The Iranian validation study52 was conducted on a sample of 112 patients with breast cancer visiting the Iranian Centre for Breast Cancer for their treatment or follow-up. It was found to be a reliable tool (total scale α=0.94) but also across all subscales namely physical, affective, cognitive with Cronbach's α coefficients 0.92, 0.89, 0.85, respectively. Furthermore, known groups comparison analysis was used, which revealed satisfactory results in relation to the Iranian version of the scale's validity. The questionnaire discriminated well between subgroups of patients differing in clinical status, as defined by disease stage. Therefore, significant correlations were found (r=0.61, 0.58, 0.60 and 0.62 for physical, affective, cognitive and total fatigue, p<0.01).
A validation study was conducted in Taiwan by Shun et al53 in a convenience sample of 243 patients with cancer visiting an outpatient chemotherapy centre. The results showed that the SDs and means ranged from 0 to 60 and the Cronbach α was found to have increased from 0.83 to 0.85 after deleting item 14 (Can you encourage yourself to do anything?). The internal consistency coefficient α's were found to be as follows: (1) physical domain (α=0.87), (2) affective domain (α=0.61) and (3) cognitive domain (α=0.62). Furthermore, a principal axis factoring analysis revealed that 43.12% of the common variance was explained by the three factors.
The Greek version of the scale was translated from the English version of the scale through a 5-phase approach according to the guidelines of Beaton et al.55 First, two bilingual translators translated it in Greek. Then, the synthesis of the two translations occurred where a common consensus translation was produced. After that, the scale was blindly back translated to the original language by two translators. A consensus version was produced by an experts committee in line with the semantic, idiomatic, experiential and conceptual equivalence. The experts committee consisted of seven health professionals, two language professionals and four translators involved in the process. The questionnaire was pretested in a convenience sample of 15 patients with prostate cancer who were asked to provide their perspective and understanding of each of the 15 items included in the instrument.
IBM SPSS, V.19.0 (IBM Corp. IBM SPSS Statistics for Windows, Version 19.0. Armonk, New York, USA: IBM Corp, 2010) was used to perform statistical analyses. The test–retest reliability of the total and subscale scores CFS were evaluated using Pearson correlation coefficients by comparing the scores at the test and retest phases. For the Pearson correlation coefficient, reliability was defined acceptable (>0.7), good (>0.8) and excellent (>0.9).56 Pearson correlation coefficients were computed between the CFS total/subscale scores and the EORTC QLQ-C30 fatigue subscale, as well as between the subscales of CFS and the corresponding EORTC QLQ-C30 functional scales (physical, cognitive). Furthermore, a simple and multiple regression analysis was performed in order to examine the effect that CRF has on the Quality of Life (QoL) of patients with advanced prostate cancer. As a dependent variable, global health status (QoL) was used in all models and as independent variables, the total CRF (CFS) and the subscales of CFS, alone or independently. The construct validity of the survey was evaluated using a factor analysis with a Varimax rotation.
A total of 148 men, diagnosed with advanced prostate cancer completed the CFS (test) and 119 patients completed the assessment for a second-time retest (response rate 68.5% and 80%, respectively). The majority of patients (68.2%), were living in Paphos, were aged between 61 and 70 years (31.8%) and their time of diagnosis was 6 months to 3 years (59.5%). Their level of education was mainly secondary (28.4%), while 28.4% were of higher education (college/polytechnic) or had a university degree, respectively. Furthermore, as far as their supporting system, family and cancer associations were found to be their referred supporting system (89.9%) (table 1).
Analysis of reliability
Descriptive data on the three subscales of the CFS: total before (test) and after (retest) are reported in table 2. In all cases, CFS scores decreased slightly between the test and retest scores, reflecting a slight decrease in fatigue impact.
The test–retest correlation coefficients of each factor and the total score between the test and retest phases were found above the acceptable 0.7 (p<0.001).
The item-to-item correlations were found to be: minimum=0.5, maximum=0.52 and the Cronbach's α was α=0.916, which indicated high internal consistency.57 Table 2 shows that the reliability/internal consistency of the total fatigue scale and the three subscales were found to be very satisfactory, with Cronbach's α close to 1 for all scales (table 3).
The construct validity of the survey was evaluated using a factor analysis with a Varimax rotation. The fit of the model was examined through the assumptions of factor analysis. Thus, the Kaiser-Mayer-Olkin (KMO) value was found to be 0.743 and considered to be satisfactory (>0.5).57 KMO is a Measure of Sampling Adequacy overall and for each variable.58–60 In other words, it constitutes a summary of how small the partial correlations are relative to the original (zero-order) correlations. KMO variables >0.8 can be considered good (the component or factor analysis will be useful for these variables). It usually occurs when most of the zero-order correlations are positive. In addition, KMO values <0.5 occur when most of the zero-order correlations are negative. A value of 0.6 is a suggested minimum.
In addition, Bartlett's test of sphericity revealed that the original correlation matrix is not an identity matrix where there are significant correlations between the variables (ie, the 15 items of the scale). In particular, Bartlett's test of sphericity gave a Χ2=2232.429 with a p value <0.001. Bartlett's test of sphericity61 tests the null hypothesis that the correlation matrix constitutes an identity matrix. An identity matrix is in which all diagonal elements are 1 and all diagonal elements are 0. In combination, KMO and Bartlett's test of sphericity can provide a minimum standard, which should be passed before a factor analysis is conducted.
The Greek version of CFS, extracted three components similar to the original fatigue scale.41 These components corresponded to the physical, affective and cognitive subscales that explained a total of 74.3% of the variance. Items 1, 2, 3,6,12, 15 loaded on the physical subscale, meaning that only item 9 of the original scale was not on the physical scale. Item 9 (Do you feel fed up?) had a higher loading on the cognitive scale in the Greek version and in physical subscale 0.412, compared with 0.672 on the cognitive scale. The affective subscale was constructed exactly as the original version with items 5, 8, 11, 14. The same applied to the cognitive subscale where items 4, 7, 10, 13 were included in addition to item 9. This means that the three dimensions of the original fatigue scale appeared to also be present in the Greek version of the scale with a slight variation to one item (table 4).
Criterion-related validity of CFS
The CFS was tested for its correlation to the validated EORTC QLQ-C 30 fatigue scale and its physical and cognitive subscales. The EORTC QLQ-C 30 was chosen primarily because it adopts a framework that is informed by the assessments of the physical and cognitive functions of the patient as well as the assessment of fatigue. This framework is similar to that of CRF, which characterises fatigue in relation to physical, affective and cognitive elements.41 Furthermore, its validity and sensitivity has been previously assessed in a population of patients with advanced cancer.19 A Pearson correlation coefficient was performed between the CFS total/subscale scores and other fatigue instrument scores, that is, the EORTC QLQ-C 30 fatigue subscale, as well as between the subscales of CFS and the corresponding EORTC QLQ-C 30 functional scales. The scoring of all subscales was performed in line with the EORTC QLQ-C30 Scoring Manual15 where the means of all the items in each subscale (raw scores) were transformed into scores from 0 to 100.
As far as the criterion validity of the CFS, all correlations were found to be significant. However, the most important correlation found was between CFS and EORTC fatigue, which directly shows the criterion validity of CFS, where the two fatigue scales are positively and significantly correlated. Additionally, the correlations between the CFS physical and EORTC physical subscales were found to be significant (r=−0.715). The same occurred between CFS cognitive and EORTC cognitive subscale (r=−0.579). As far as the negative scores, these were expected due to the scoring of the EORTC functional scales, where high values show good functioning of the patient as opposed to the CFS subscales, where high values indicate high levels of fatigue (table 5).
Convergent validity of CFS
Convergent validity is demonstrated with the correlation between multiple measures that should operate in similar ways. In the current study, the convergent validity of the Greek version of CFS was demonstrated by calculating the Pearson correlation coefficients between the CFS total/subscale scores and the EORTC QLQ-C30 Global Health Status, the association of which with fatigue was previously reported.63 ,64
Convergent validity of CFS indicated that all the correlations of the Global Health Status (q29–q30) were significant. Negative correlations were expected, due to the reverse meaning of the instrument ‘global health status’, which shows that the higher the CRF levels the lower the global health status levels and vice-versa (table 6).
This study described the translation and psychometric testing in terms of reliability, construct validity, criterion validity and convergent validity of the Greek version of the CFS scale. The internal consistency of the CFS (total scale) was found to be high (0.916) and was higher than the original study (α=0.88). Furthermore, in both validation studies the cognitive subscale had the lowest α coefficients (0.79 and 0.79) and the physical subscale had the highest (0.92 and 0.89, respectively). In comparison with the original validation study,41 the three dimensions of the original fatigue scale appeared to also be present in the Greek version of the scale, with a minor variation change. The good stability of the scale found in this study (r=0.79, p<0.001) was comparable with that of the original study (r=0.80, p<0.001). The mean scores in this study were found higher compared with the original across all the three subscales. This finding could possibly be attributed to the patients' advanced stage of the disease, in contrast to the original study where only 26.7% of the patients were classified as patients with advanced prostate cancer. This is a finding consistent to the relevant literature.6 Additionally, the patients in this study were on active chemotherapy treatment for their disease and this could have also contributed to experiencing more severe fatigue, an interpretation that is also supported by the literature.65 No information is provided in the original validation study on this aspect of the care. Despite the differences in the mean scores between the current and the original validation study, the findings showed that patients in both studies scored the lowest (indicating lower fatigue levels) in relation to the cognitive elements of fatigue. The current validation study also provided evidence on the criterion validity of the CFS that the original and subsequent validation studies did not provide.
The CFS and EORTC fatigue were positively significantly correlated. The correlations between the CFS physical and EORTC physical subscales were found to be significant as well. The test–retest reliability showed acceptable Pearson correlation coefficients across all the three subscales, a finding which is comparable with that of the original validation study. Overall, the Greek version of the CFS appeared to be a valid and reliable scale in the assessment of CRF in patients with advanced prostate cancer. This is a major contribution to the literature as it provides evidence of the scale's validity and reliability in a site-specific cancer population. Although the methods in the current study and the preceding validation studies differ to the original validation study, the results showed that the Greek version of the CFS complements with consistency the positive results of the previous validation studies.51–53 ,66
Therefore, as in previous validation studies, the sample size was big enough in order to be generalised in the patient population with site-specific cancer. However, previous validation studies have been conducted in patients with various types of cancer and not specifically in prostate cancer. For example, in the study of Kröz et al51 in a sample of 114 patients with cancer, only three patients were diagnosed with prostate cancer and 35 of the overall sample had been metastatic. In the study by Shun et al53 with a sample of 243 patients, only 20 patients were with prostate cancer. Only in the study of Montazeri et al52 was the testing conducted in patient population with site-specific cancer (112 patients with breast cancer in stage II).
Other validation studies were conducted in order to measure CRF in patients with prostate cancer using different scales.67 ,68 In particular, the validation study of Cessna et al67 used the 7-item Patient-Reported Outcome Measurement Information System Cancer Fatigue Short-Form scale. The study was conducted on 121 men with prostate cancer and 136 patients scheduled to undergo haematopoietic cell transplantation for haematologic cancer. Results indicated a satisfactory internal consistency and reliability in both samples (Cronbach's α a=0.86). In addition, fatigue scores were significantly higher in patients with CRF.
Furthermore, Fillion et al68 conducted a validation study in order to examine the validity and reliability of the French Canadian adaptation of the Multidimensional Fatigue Inventory (MFI) in 277 patients with breast cancer and 327 patients with prostate cancer undergoing therapy. Confirmatory factor analysis of the four-factor model revealed an acceptable fit (CFI=0.909; CFI=0.901; NFI=0.891; RMSEA=0.084). As for the reliability of the scale, Cronbach's α ranged from 0.68 for the reduced motivation subscale to 0.89 for the general and physical fatigue subscale, whereas the total MFI score (15 items), was α=0.90, which indicated good reliability. Intercorrelations among subscales indicated a range from 0.39 to 0.64. As far as the correlations with the total score range from 0.68 to 0.90, all found to be significant at a=0.01.
This is the first validation study of the CRF Scale in Greek and warrants its use in the assessment of fatigue in patient with advanced prostate cancer. The CFS is useful in evaluating CRF experienced by patients diagnosed with advanced prostate cancer. This finding would allow the identification of patients who are at greatest risk for severe fatigue based on the dose and duration of therapy. Additionally, the determination of predictors of interindividual differences in fatigue trajectories may provide information on the underlying mechanisms for fatigue associated with chemotherapy as well as providing the basis for the development and inception of more effective interventions. The CFS can potentially be valuable to test the effectiveness of interventions used to manage fatigue. Further testing and validation is needed in the early stages of the disease and on patients in later chemotherapy cycles and patients undergoing fatigue-reducing interventions.
The authors would like to thank all the patients participated in the current study. The authors would also like to thank Miss Samantha Robb for editing the manuscript. The study is supported by the Cyprus University Open Access Author's Fund.
Twitter Follow Andreas Charalambous @AndreasC466
Contributors AC conceived and designed the study, collected analysed the data and approved the final manuscript. CK prepared all the draft versions of the manuscript. MC collected the data and edited and approved the final version of the manuscript. CK edited and approved the final version of the manuscript.
Funding Cyprus University of Technology.
Competing interests None declared.
Ethics approval Cyprus National Bioethics Committee (CNBC 2010/06), Ministry of Health of Cyprus (MH 5.04.019).
Provenance and peer review Not commissioned; externally peer reviewed.
Data sharing statement No additional data are available.