Lack of content overlap and essential dimensions - A review of measures used for post-stroke fatigue

Effects of non-pharmacological interventions on fatigue in people with stroke: a systematic review and meta-analysis

BACKGROUND

Fatigue, a common problem following a stroke, can have negative effects on a person's daily life. There are no good interventions thus far for alleviating fatigue among those affected.

OBJECTIVE

This review aimed to evaluate the effects of non-pharmacological interventions on fatigue among people with stroke.

METHODS

A search was conducted for articles in seven databases, clinical trial registry, and backward and forward citations of included publications. Randomized controlled trials, including feasibility and pilot trials, of non-pharmacological interventions for managing fatigue or promoting sleep or both in people with stroke were included. The standardized mean difference in scores for fatigue was analyzed using random effects models.

RESULTS

Ten studies, with 806 participants, were analyzed. The identified interventions included physical interventions, cognitive interventions, a combination of physical and cognitive interventions, oxygen therapy, and complementary interventions. Non-pharmacological interventions had no significant immediate, short-term and medium-term effects on fatigue. The adverse effects of falls and arrhythmia were each found in one participant in circuit training. The risk of bias was high in all studies. The certainty of the evidence ranged from very low to low.

CONCLUSIONS

The evidence in support of any non-pharmacological interventions for alleviating fatigue is still inconclusive in people with stroke. In view of the inadequacies of existing interventions and study designs, addressing the multidimensional characteristics of fatigue may be a possible direction in developing interventions. A robust study design with a larger sample size of people with stroke experiencing fatigue is required to evaluate the effects of interventions.

Pathophysiology, Assessment, and Management of Post-Stroke Cognitive Impairment, Depression, and Fatigue

Post-stroke cognitive impairment, depression, and fatigue are common, persistent, and disabling. This review summarizes current knowledge on the pathophysiology, assessment, and management of these debilitating neuropsychiatric sequelae of stroke. We briefly review evolving knowledge on the neural mechanisms and risk factors for each condition. We describe patient-reported outcome measures and clinician rating techniques that can be used to assist in screening and comprehensive assessment. We then discuss behavioral and pharmacologic management strategies. Heterogeneity of stroke remains a challenge in management and new research is still needed to optimize and personalize treatments for stroke survivors.

Low Overlap and High Heterogeneity Across Common Measures of Eating Disorder Pathology: A Content Analysis

This study evaluated symptoms assessed in common measures of eating disorder pathology and tested overlap to evaluate the extent to which measures may be interchangeable. Six measures were included: Bulimia Test-Revised, Eating Attitudes Test-26, Eating Disorder Diagnostic Scale, Eating Disorder Examination Questionnaire, Eating Pathology Symptoms Inventory, and Questionnaire for Eating Disorder Diagnoses. Content overlap was quantitatively estimated using the Jaccard Index. Mean overlap was low (.195), likely due to the wide range of symptoms (87) assessed. The mean overlap of each measure with all others was .117 - .267, and the overlap among individual measures was .083 - .382. Implications of low overlap among measures include variable characterization of eating disorder phenotypes and the risk for lower generalizability of findings due to measurement variability.

A roadmap for research in post-stroke fatigue: Consensus-based core recommendations from the third Stroke Recovery and Rehabilitation Roundtable

RATIONALE

Fatigue affects almost half of all people living with stroke. Stroke survivors rank understanding fatigue and how to reduce it as one of the highest research priorities.

METHODS

We convened an interdisciplinary, international group of clinical and pre-clinical researchers and lived experience experts. We identified four priority areas: (1) best measurement tools for research, (2) clinical identification of fatigue and potentially modifiable causes, (3) promising interventions and recommendations for future trials, and (4) possible biological mechanisms of fatigue. Cross-cutting themes were aphasia and the voice of people with lived experience. Working parties were formed and structured consensus building processes were followed.

RESULTS

We present 20 recommendations covering outcome measures for research, development, and testing of new interventions and priority areas for future research on the biology of post-stroke fatigue. We developed and recommend the use of the Stroke Fatigue Clinical Assessment Tool.

CONCLUSIONS

By synthesizing current knowledge in post-stroke fatigue across clinical and pre-clinical fields, our work provides a roadmap for future research into post-stroke fatigue.

A roadmap for research in post-stroke fatigue: Consensus-based core recommendations from the third Stroke Recovery and Rehabilitation Roundtable

RATIONALE

Fatigue affects almost half of all people living with stroke. Stroke survivors rank understanding fatigue and how to reduce it as one of the highest research priorities.

METHODS

We convened an interdisciplinary, international group of clinical and pre-clinical researchers and lived experience experts. We identified four priority areas: (1) best measurement tools for research, (2) clinical identification of fatigue and potentially modifiable causes, (3) promising interventions and recommendations for future trials, and (4) possible biological mechanisms of fatigue. Cross-cutting themes were aphasia and the voice of people with lived experience. Working parties were formed and structured consensus building processes were followed.

RESULTS

We present 20 recommendations covering outcome measures for research, development, and testing of new interventions and priority areas for future research on the biology of post-stroke fatigue. We developed and recommend the use of the Stroke Fatigue Clinical Assessment Tool.

CONCLUSIONS

By synthesizing current knowledge in post-stroke fatigue across clinical and pre-clinical fields, our work provides a roadmap for future research into post-stroke fatigue.

Post-stroke fatigue: a review of development, prevalence, predisposing factors, measurements, and treatments

Background

Post-stroke fatigue (PSF) is a ubiquitous and overwhelming symptom for most stroke survivors. However, there are no effective management strategies for PSF, which is partly due to our limited understanding.

Objective

In this paper, we review the development, prevalence, predisposing factors, measurements, and treatments of PSF.

Results

PSF is an independent symptom after stroke, with a prevalence ranging from 42 to 53%, which depends on the selection of measurement tools and stroke characteristics. It is affected by biological, physical, and psychological factors, among which inflammation may play a key role.

Conclusion

Numerous but non-specific evaluation measurement tools limit the management of PSF. In clinical practice, it may be beneficial to identify PSF by combining scales and objective indexes, such as walking tests and electromyographic examinations. There are no evidence-based interventions to improve PSF. However, increasing evidence suggests that transcranial direct-current stimulation and mindfulness-based interventions may become promising treatments. Further studies are urgently needed to better understand the etiology of PSF, thereby providing the basis for developing new measurement tools and targeted treatments.

Development and evaluation of the Norwegian Fatigue Characteristics and Interference Measure (FCIM) for stroke survivors: cognitive interviews and Rasch analysis

PURPOSE

There is need for a comprehensive measure of post-stroke fatigue with sound measurement properties. This study aimed to develop the Norwegian Fatigue Characteristics and Interference Measure (FCIM) and assess its content validity, structural validity, and internal consistency.

METHOD

This study consisted of three steps: (1) an expert panel developed version 1.0 of the Norwegian FCIM, (2) its content validity was assessed in cognitive interviews with stroke patients (N = 15), (3) a convenience sample of stroke patients (N = 169) completed an online questionnaire with the FCIM, Fatigue Severity Scale, and sociodemographic information; validity and reliability were assessed using Rasch analysis.

RESULTS

FCIM version 1.0 included a 10-item characteristics subscale, a 20-item interference subscale, and two pre-stroke fatigue items. The cognitive interviews revealed content validity issues, resulting in two interference items being removed and five items being flagged but retained for Rasch analysis (version 2.0). Rasch analysis led to removal of four items from the characteristics subscale and six more from the interference subscale. The final six-item characteristics subscale and 12-item interference subscale (version 3.0) both showed adequate fit to the Rasch model with indications of unidimensionality and local independence. The interference subscale had a high person separation index. No significant differential item function (DIF) was found in relation to gender, but one item demonstrated DIF in relation to age.

CONCLUSION

The cognitive interviews and Rasch analysis demonstrated that the Norwegian version of the FCIM has high content validity, structural validity, and internal consistency. Future research should assess its construct validity, reliability, and responsiveness.

Patients experience of cognitive fatigue post-stroke: an exploratory study

PURPOSE

Cognitive fatigue is commonly reported and described as disabling by patients recovering from neurological conditions including stroke. However, cognitive fatigue is usually underdiagnosed among stroke survivors which leads to a lack of specific treatments for this condition. Therefore, the aim of this study was to explore post-stroke cognitive fatigue as it is experienced by stroke survivors.

METHODS

This qualitative research followed the principles of descriptive phenomenology within a constructivist paradigm. Individual semi-structured interviews were conducted with stroke survivors experiencing post-stroke cognitive fatigue recruited through the Heart and Stroke Foundation, the Canadian Partnership for Stroke Recovery, and social media posts. Data were analyzed through inductive content analysis.

RESULTS

Eleven stroke survivors participated. The analysis revealed five themes illustrating the experience and descriptions of post-stroke cognitive fatigue: (1) characteristics, (2) aggravating factors, (3) management, (4) effect of cognitive fatigue on daily life, and (5) social awareness and support.

CONCLUSION

This study highlights the complexity of post-stroke cognitive fatigue. Cognitive fatigue becomes more evident after discharge; therefore, clinicians should consistently screen for it and provide proper education to the patients and their carers.IMPLICATIONS FOR REHABILITATIONCognitive fatigue is a complex phenomenon that can negatively affect the daily life of stroke survivors.Sensory-overloaded environments, emotional distress, poor sleep, and engaging in complex cognitive tasks can trigger post-stroke cognitive fatigue.More education on the concept of cognitive fatigue should be provided to healthcare providers to be able to identify and manage this symptom properly.

Management of post-stroke fatigue: an Australian health professional survey

PURPOSE

Evidence for post-stroke fatigue management is limited. We aimed to explore how Australian health professionals assess and assist fatigue management. Our objectives were to identify fatigue assessment tools and interventions used, explore clinician's confidence managing fatigue and explore whether management of post-stroke fatigue differs from management of fatigue related to other conditions.

MATERIALS AND METHODS

An online cross-sectional survey was completed by Australian health professionals (n = 60) providing services to people with fatigue. Analysis of open-ended questions identified common interventions and descriptive statistics were calculated for closed and dichotomized questions.

RESULTS

Routine use of formal fatigue assessment tools was low (17%, n = 10). Most respondents reporting use of the Fatigue Impact Scale, Fatigue Assessment Scale and Fatigue Severity Scale. To address fatigue, respondents reported providing energy optimization strategies, education, and exercise interventions in clinical practice. Less frequently reported interventions were strategies to adapt tasks, sleep hygiene, psychology, nutrition, and pharmacology interventions. Respondents were "moderately" confident managing post-stroke fatigue. Respondents did not report differences between how they manage post-stroke fatigue and fatigue present in other conditions.

CONCLUSIONS

Few Australian health professionals formally assess post-stroke fatigue. Management is multidisciplinary and based on evidence from fatigue management in other conditions.Implications for rehabilitationMost health professionals are not routinely using formal assessment tools for fatigue, possibly due to a lack of consensus on best practice in research.Common strategies recommended by health professionals include energy optimisation strategies, education and exercise.Comprehensive guidelines for post-stroke fatigue management are yet to be established.Health professionals should assess post-stroke fatigue using a validated tool to ensure an individualised approach to management based on the current available clinical guidelines.

The impact of post-stroke fatigue on work and other everyday life activities for the working age population - a registry-based cohort study

INTRODUCTION

Life after stroke is a comprehensive area that involves engagement in meaningful everyday activities, including work, and can be adversely affected by post-stroke fatigue. This study investigates post-stroke fatigue, its development over time, and its impact on return to work and other everyday life activities. In addition, we investigated whether post-stroke fatigue could predict functioning in everyday life activities one year after stroke.

MATERIAL AND METHODS

This prospective registry-based study includes 2850 working age (18 - 63 years) patients registered in the Swedish Stroke Register (Riksstroke) during year 2017 and 2018. Post-stroke fatigue and everyday activities were analyzed 3- and 12-months post-stroke.

RESULTS

The mean age of the included participants was 54 years and the majority, 65%, were men. Three months post-stroke, 43% self-reported fatigue, at 12-months the proportion increased to 48%. About 90% of the patients were independent in basic ADL at 3-month. Dependence in complex activities one year post-stroke was significantly associated with fatigue. Not experiencing fatigue one year after stroke could predict positive functioning in everyday activities, increasing the chance of returning to work (OR = 3.7) and pre-stroke life and everyday activities (OR = 5.7).

CONCLUSION

Post-stroke fatigue is a common persistent disability that negatively impacts complex activities; therefore, fatigue needs to be acknowledged and addressed long term after discharge.

Association of post-stroke fatigue with physical activity and physical fitness: A systematic review and meta-analysis

BACKGROUND

It has been hypothesized that post-stroke fatigue (PSF) is associated with reduced physical activity (PA) and impaired physical fitness (fitness). Understanding associations between PSF and PA, and/or fitness could help guide the development of targeted exercise interventions to treat PSF.

AIMS

Our systematic review and meta-analysis aimed to investigate PSF's associations with PA and fitness.

SUMMARY OF REVIEW

Following a registered protocol, we included studies with cross-sectional or prospective observational designs, published in English or a Scandinavian language, which reported an association of PSF with PA and/or fitness in adult stroke survivors. We searched MEDLINE, Embase, AMED, CINAHL, PsycINFO, ClinicalTrials.gov, and World Health Organization's International Clinical Trials Registry Platform from inception to November 30, 2022. Risk of bias was assessed using Quality in Prognosis Studies. Thirty-two unique studies (total n = 4721 participants, 55% male), and three study protocols were included. We used random-effects meta-analysis to pool data for PA and fitness outcomes, and vote-counting of direction of association to synthesize data that could not be meta-analyzed. We found moderate-certainty evidence of a weak association between higher PSF and impaired fitness (meta r = -0.24; 95% confidence interval (CI) = -0.33, -0.15; n = 905, 7 studies), and very low-certainty evidence of no association between PSF and PA (meta r = -0.09; 95% CI = -0.34, 0.161; n = 430, 3 studies). Vote-counting showed a higher proportion of studies with associations between higher PSF and impaired fitness (pˆ = 0.83; 95% CI = 0.44, 0.97; p = 0.22, n = 298, 6 studies), and with associations between higher PSF and lower PA (pˆ = 0.75; 95% CI = 0.51, 0.90; p = 0.08, n = 2566, 16 studies). Very low- to moderate-certainty evidence reflects small study sample sizes, high risk of bias, and inconsistent results.

CONCLUSIONS

The meta-analysis showed moderate-certainty evidence of an association between higher PSF and impaired fitness. These results indicate that fitness might protect against PSF. Larger prospective studies and randomized controlled trials evaluating the effect of exercise on PSF are needed to confirm these findings.

Systematic review: Pharmacological interventions for the treatment of post-stroke fatigue

BACKGROUND

Post-stroke fatigue (PSF) affects around 50% of stroke survivors. Previous systematic reviews of randomized controlled trials found insufficient evidence to guide practice, but most excluded Chinese studies. Furthermore, their searches are now out-of-date.

AIMS

To systematically review and perform a meta-analysis of randomized placebo-controlled trials of pharmacological interventions for treating PSF.

METHODS

We screened Airitri, CNKI, VIP, CINAHL, ClinicalTrials.gov, CENTRAL, Cochrane Stroke Group Trial Register, EMBASE, EU Clinical Trial Register, ISRCTN, MEDLINE, PsycINFO, Wanfang, and WHO ICTRP up to 11 November 2022. Our primary outcome was fatigue severity. We conducted subgroup analysis by drug type and sensitivity analysis after excluding the trials at high risk of bias. Secondary outcomes included mood and quality of life.

RESULTS

We screened 33,297 citations and identified 10 published completed trials, 6 unpublished completed trials, and 6 ongoing trials. Pharmacological treatments were associated with lower fatigue severity at the end of treatment (10 published completed trials, 600 participants, pooled standardized mean difference (SMD) = -0.80, 95% confidence interval (CI): -1.29 to -0.31; I2 = 86%, p < 0.00001), but not at follow-up (265 participants, pooled SMD = -0.14, 95% CI: -0.38 to 0.10; I2 = 0, p = 0.51). However, these trials were small and had considerable risk of bias. Beneficial effects were seen in trials with low risk of bias on randomization, missing outcome data, and reporting bias. There were insufficient data on secondary outcomes for meta-analysis, but six trials reported improved quality of life.

CONCLUSION

There is insufficient evidence to support a particular pharmacological treatment for PSF, thus current clinical guidelines do not require amendment.

Measuring poststroke fatigue: The psychometric properties of the Chinese version of multidimensional fatigue inventory

OBJECTIVE

Poststroke fatigue (PSF) is a common and debilitating problem among stroke patients. Multidimensional fatigue inventory (MFI) has been recommended to assess fatigue related to acquired brain injury. This study aimed to examine the psychometric properties of the Chinese version of MFI among stroke patients.

METHODS

The study recruited 252 stroke patients in China. The internal consistency of the Chinese-version MFI was evaluated using Cronbach's α coefficients. The test-retest reliability was measured over a 5-day interval with intraclass correlation coefficient. Exploratory factor analysis was conducted to analyze the construct validity. The concurrent validity of MFI was examined by calculating the Pearson's correlation coefficient between the scores of MFI and the fatigue assessment scale (FAS).

RESULTS

The exploratory factor analysis of the Chinese-version of MFI showed that it captured three dimensions of PSF, namely, physical fatigue, mental fatigue, and level of activity. The Chinese-version MFI demonstrated satisfactory internal consistency with Cronbach's α ranging from 0.83 (mental fatigue) to 0.91 (total scale). The Chinese-version MFI showed adequate test-retest reliability with intraclass correlation coefficients of 0.70 for the total scale, 0.69 for physical fatigue, 0.66 for mental fatigue, and 0.62 for level of activity. The concurrent validity of the Chinese-version MFI was demonstrated by a significant positive correlation (r=0.49, p <0.001) with FAS.

CONCLUSION

This study findings showed that Chinese-version MFI has adequate internal consistency and test-retest reliability, and demonstrated its concurrent validity with FAS. The findings provide preliminary evidence of the three-factor structure of Chinese-version MFI by exploratory factor analysis.

Measurement Properties of the Dutch Multifactor Fatigue Scale in Early and Late Rehabilitation of Acquired Brain Injury in Denmark

Fatigue is a major issue in neurorehabilitation without a gold standard for assessment. The purpose of this study was to evaluate measurement properties of the five subscales of the self-report questionnaire the Dutch Multifactor Fatigue Scale (DMFS) among Danish adults with acquired brain injury. A multicenter study was conducted (N = 149, 92.6% with stroke), including a stroke unit and three community-based rehabilitation centers. Unidimensionality and measurement invariance across rehabilitation settings were tested using confirmatory factor analysis. External validity with Depression Anxiety Stress Scales (DASS-21) and the EQ-5D-5L was investigated using correlational analysis. Results were mixed. Unidimensionality and partial invariance were supported for the Impact of Fatigue, Mental Fatigue, and Signs and Direct Consequences of Fatigue, range: RMSEA = 0.07–0.08, CFI = 0.94–0.99, ω = 0.78–0.90. Coping with Fatigue provided poor model fit, RMSEA = 0.15, CFI = 0.81, ω = 0.46, and Physical Fatigue exhibited local dependence. Correlations among the DMFS, DASS-21, and EQ-5D-5L were in expected directions but in larger magnitudes compared to previous research. In conclusion, three subscales of the DMFS are recommended for assessing fatigue in early and late rehabilitation, and these may facilitate the targeting of interventions across transitions in neurorehabilitation. Subscales were strongly interrelated, and the factor solution needs evaluation.

Is Cardiorespiratory Fitness Independently Associated with Fatigue in Patients with Transient Ischemic Attack or Minor Stroke?

Fatigue is a common complaint and a disabling symptom among patients following transient ischemic attack (TIA) or minor stroke. In patients with stroke, decreased cardiorespiratory fitness (CRF) is believed to be related to increased severity of post-stroke fatigue (PSF). However, this association between PSF and CRF in patients with TIA or minor stroke has been less investigated, and currently there is no proven treatment for PSF. We aimed to determine the association between PSF and CRF in patients with TIA or minor stroke and to find out whether this association was distorted by confounders. A cross-sectional association study was conducted among a total of 119 patients with TIA or minor stroke. PSF was measured by the Fatigue Severity Scale (FSS) and CRF was quantified by maximal exercise capacity (V̇O2max). The FSS showed a significant association with V̇O2max (ß = −0.061, SE: 0.022; p = 0.007). This association was confounded by anxiety (ß = −0.044, SE: 0.020; p = 0.028) and depression (ß = −0.030, SE: 0.022; p = 0.177) as measured by the subscales of the Hospital Anxiety and Depression Scale (HADS). After controlling for HADS scores on depression and anxiety, the univariate relationship between V̇O2max and FSS was no longer significant. These results suggest that the association between PSF and CRF in patients with TIA or minor stroke is weak and significantly confounded by the factors of depression and anxiety.

“I Give It Everything for an Hour Then I Sleep for Four.” The Experience of Post-stroke Fatigue During Outpatient Rehabilitation Including the Perspectives of Carers: A Qualitative Study

Background

Fatigue is a debilitating post-stroke symptom negatively impacting rehabilitation. Lack of acknowledgment from carers can be additionally distressing. The purpose of this study was to describe the experience of post-stroke fatigue during outpatient rehabilitation, including the perspectives of carers.

Methods

This qualitative study was guided by descriptive phenomenology within a constructivist paradigm. Semi-structured interviews were conducted with stroke survivors experiencing fatigue (Fatigue Assessment Scale >23) and attending outpatient rehabilitation. Carers were also interviewed where identified, providing insight into their own and stroke survivor experiences. Data were analyzed according to Colaizzi's analytic method.

Results

Fourteen stroke survivors (50% culturally and linguistically diverse), and nine carers participated. Six themes were identified: 1. The unpredictable and unprepared uncovering of fatigue; 2. Experience and adjustment are personal 3. Being responsible for self-managing fatigue; 4. The complex juggle of outpatient stroke rehabilitation with fatigue; 5. Learning about fatigue is a self-directed problem-solving experience; 6. Family and carers can support or constrain managing fatigue.

Conclusion

Despite engaging in outpatient rehabilitation, stroke survivors largely learnt to manage fatigue independent of healthcare professionals. Carers often facilitated learning, monitoring rehabilitation, daily routines and fatigue exacerbation. Conversely, family could be dismissive of fatigue and possess unrealistic expectations. Post-stroke fatigue must be considered by clinicians when delivering outpatient rehabilitation to stroke survivors. Clinicians should consistently screen for fatigue, provide flexible session scheduling, and educate about individual indicators and strategies for management. Clinicians should also explicitly engage carers who play a critical role in the management of fatigue.

Occupational Therapy Interventions for Poststroke Fatigue: A Scoping Review

Introduction:

Fatigue after stroke can negatively affect the survivors’ well-being. Despite the high prevalence and consequences of poststroke fatigue (PSF), there is no specific guidance for occupational therapy practitioners (OTPs) to address this symptom.

Objectives:

The objectives of the study were to identify and describe the research on potential occupational therapy (OT) interventions for PSF.

Method:

Three databases were searched using scoping review methodology. Two authors completed a title and abstract and full-text review. Study characteristics, participant characteristics, qualities of interventions, and outcome measures were extracted and synthesized.

Results:

Eight studies met selection criteria. Studies were conducted with stroke and traumatic brain injury patients in outpatient, inpatient, and community settings. Interventions included psychoeducation and behavior change, multicomponent programs, and mindfulness-based stress reduction therapies. The Fatigue Severity Scale and the Mental Fatigue Scale were commonly used.

Conclusion:

Evidence for OT interventions targeting PSF is limited. Recommendations for future research are provided.

Impact of Somatic Vulnerability, Psychosocial Robustness and Injury-Related Factors on Fatigue following Traumatic Brain Injury-A Cross-Sectional Study

Fatigue is a common symptom after traumatic brain injuries (TBI) and a crucial target of rehabilitation. The subjective and multifactorial nature of fatigue necessitates a biopsychosocial approach in understanding the mechanisms involved in its development. The aim of this study is to provide a comprehensive exploration of factors relevant to identification and rehabilitation of fatigue following TBI. Ninety-six patients with TBI and confirmed intracranial injuries were assessed on average 200 days post-injury with regard to injury-related factors, several patient-reported outcome measures (PROMS) of fatigue, neuropsychological measures, and PROMS of implicated biopsychosocial mechanisms. Factor analytic approaches yielded three underlying factors, termed Psychosocial Robustness, Somatic Vulnerability and Injury Severity. All three dimensions were significantly associated with fatigue in multiple regression analyses and explained 44.2% of variance in fatigue. Post hoc analyses examined univariate contributions of the associations between the factors and fatigue to illuminate the relative contributions of each biopsychosocial variable. Implications for clinical practice and future research are discussed.

A cross-sectional study exploring overlap in post-stroke fatigue caseness using three fatigue instruments: Fatigue Severity Scale, Fatigue Questionnaire and the Lynch's Clinical Interview

OBJECTIVE

Post stroke fatigue (PSF) is a frequent symptom affecting 25-73% of stroke survivors. The variability in estimates of prevalence found across studies reflects differences in fatigue measures and use of different cut-offs for defining clinically significant fatigue. The main aim of this study is to explore the frequency and overlap in caseness of fatigue using three different fatigue measures in a sample of patients at 3 months post stroke. Furthermore, we wanted to explore the instrument's associations with demographic and clinical characteristics.

METHODS

The sample consists of 93 patients with new onset stroke. This cross-sectional study includes three measurements of fatigue, The Fatigue Severity Scale (FSS), The Chalder Fatigue Questionnaire (FQ) and the Lynch Interview. Medical, physical, psychological data and estimates of pre-stroke fatigue were collected 3 months post stroke.

RESULTS

The FQ using the bimodal scoring yielded about 2.5 more fatigue cases (n = 57) than the FSS with a cut-off mean score of 5 (n = 22). The Lynch interview identified 48 patients as fatigue cases. Conducting multivariate analyses, the three instruments were differently associated with predictor variables such as prestroke fatigue, reduced balance and burden of symptoms reported post stroke.

CONCLUSION

The use of different instruments leads to a large variability in identifying fatigue cases in a sample of stroke patients. Scientifically and clinically a clarification and consensus on how to measure fatigue is warranted. Without correct identification of PSF-cases, knowledge about the causes of fatigue and development of tailored and interdisciplinary interventions are further delayed.

Evaluation of Response Processes to the Danish Version of the Dutch Multifactor Fatigue Scale in Stroke Using the Three-Step Test-Interview

Validated self-report measures of post-stroke fatigue are lacking. The Dutch Multifactor Fatigue Scale (DMFS) was translated into Danish, and response process evidence of validity was evaluated. DMFS consists of 38 Likert-rated items distributed on five subscales: Impact of fatigue (11 items), Signs and direct consequences of fatigue (9), Mental fatigue (7), Physical fatigue (6), and Coping with fatigue (5). Response processes to DMFS were investigated using a Three-Step Test-Interview (TSTI) protocol, and data were analyzed using Framework Analysis. Response processes were indexed on the following categories: (i) "congruent," response processes were related to the subscale construct; (ii) "incongruent," response processes were not related to the subscale construct; (iii) "ambiguous," response processes were both congruent and incongruent or insufficient to evaluate congruency; and (iv) "confused," participants did not understand the item. Nine adults were recruited consecutively 10-34 months post-stroke (median = 26.5) at an outpatient brain injury rehabilitation center in 2019 [five females, mean age = 55 years (SD = 6.3)]. Problematic items were defined as <50% of response processes being congruent with the intended construct. Of the 38 items, five problematic items were identified, including four items of Physical fatigue and one of Mental fatigue. In addition, seven items posed various response difficulties to some participants due to syntactic complexity, vague terms, a presupposition, and a double-barrelled statement. In conclusion, findings elucidate the interpretative processes involved in responding to DMFS post-stroke, strengthen the evidence base of validity, and guide revisions to mitigate potential problems in item performance.

Post-stroke fatigue: an exploratory study with patients and health professionals to develop a patient-reported outcome measure

BACKGROUND

Post-stroke fatigue (PSF) is commonly reported and described as disabling by patients recovering from stroke. However, a major challenge is how to accurately diagnose and assess PSF. Therefore, the aim of this study was to explore PSF as it is experienced by stroke survivors and described by health professionals to guide future development of a PSF-specific PROM.

METHODS

Individual semi-structured interviews were conducted with stroke survivors experiencing PSF (n = 9) and three focus groups were conducted with health professionals (n = 16). Data were analyzed through inductive content analysis.

RESULTS

The analysis revealed four themes illustrating the experience and descriptions of PSF: 1) PSF characteristics, 2) interfering and aggravating factors, 3) management, and 4) PSF awareness, which refers to stroke survivors first becoming aware of PSF after their initial hospital admission.

CONCLUSION

This study highlights the complexity and multidimensionality of PSF. The results from this study will guide future development of a PSF-PROM and support its content validity.

Post-stroke fatigue level is significantly associated with mental health component of health-related quality of life: a cross-sectional study

PURPOSE

Individuals post-stroke might have high levels of post-stroke fatigue (PSF) which might affect their quality of life. This study aimed to investigate the prevalence of post-stroke fatigue in Jordan and to comprehensively identify its possible associated factors.

METHODS

A cross-sectional design was implemented through one-hour face-to-face assessment sessions. The modified fatigue impact scale, 12-item Short-Form Health Survey, Montreal Cognitive Assessment, Motor Assessment Log, Upper Extremity Fugl Meyer assessment, Nine Hole Peg Test, 10 Meter Walk Testing, active and passive goniometry, Hand-held dynamometry, and modified Ashworth scale were used as outcome measures. Prevalence of post-stroke fatigue and levels of quality of life were reported using descriptive analyses. Multiple variable linear regression analysis was used to identify PSF associated factors of post-stroke fatigue. P < 0.05 was considered significant for all statistical tests.

RESULTS

153 individuals with stroke participated in the study. A total of 117 participants (69.9%, 95% CI = 62.0-77.1%) were fatigued. Fatigue was significantly predicted by mental component of quality of life (β -0.42 [95% CI -0.53--0.31]; p < 0.001), cognition (β -0.69 [95% CI -1.08--0.29], p = 0.001), weekly sport hours (β -0.94 [95% CI -1.73--0.14], p = 0.022), and shoulder abduction spasticity (β -1.81 [95% CI -3.38--0.24], p = 0.024. The model explained 51% of the variation in the fatigue (F = 29.006, p < 0.001).

CONCLUSION

Jordanian individuals with stroke have a high prevalence of fatigue. Mental related quality of life was significantly associated with PSF levels. Other factors significantly associated with PSF included cognition status, sport participation, and spasticity. Healthcare practitioners working in neurorehabilitation should take PSF and its significant correlates into consideration when treating individuals with stroke.