fatigue management
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2022 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Maral R. Torossian ◽  
Joohyun Chung ◽  
Sara K. Mamo ◽  
Cynthia S. Jacelon

2021 ◽  
Author(s):  
Sayaka Hoshino ◽  
Yoko Muranaka

The purpose of this research is to develop a tool for fatigue self-management for hospital nurses. It is based on a nursing fatigue management education program that we have developed by utilizing the airline industry’s Fatigue Risk Management System (FRMS). More specifically, this research aims to develop a tool to check fatigue and sleep conditions, deepen the knowledge about fatigue management, devise a measure to avoid the risk of fatigue, and continuously conduct evaluation.


2021 ◽  
Vol 14 (2) ◽  
pp. 195-211
Author(s):  
Dian Hudiyawati ◽  
Wulan Syafitry

Cancer is the second leading cause of death worldwide. Fatigue is one of the most common side effects of people with cancer. The range of people with cancer who experience fatigue is 70-80%, when undergoing cancer treatment and during the phase before and after treatment. This systematic review aims to identify fatigue management with non-pharmacological intervention. The journals selected from 2015 to 2020 in an international database: Pubmed, SAGE journals, Microsoft Academic, and Science Direct. The database searched using the keywords "exercise treatment" OR "psychological treatment," AND "fatigue" OR "cancer-related fatigue," AND "during cancer treatment" OR "after cancer treatment." Assessment of Critical quality appraisal uses tools from the JBI (Joanna Briggs Institute) critical assessment checklist. The method of analysis used the descriptive method. The results of the Systematic review found 13 journals that met the inclusion criteria, the total sample was 1365 respondents with an average age of 56.85, and the consequences of female respondents were 857 respondents, and male respondents were 464 respondents. Physical treatment and psychological treatment can reduce cancer fatigue before and after treatment. The interventions given both physical treatment and psychological treatment have their benefits and vary in their effectiveness.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lois James ◽  
Stephen James ◽  
Ian Hesketh

PurposeTo evaluate the effectiveness of a fatigue-management training and sleep health promotion intervention in a sample of officers from UK Home Office Police Forces.Design/methodology/approachUsing a pre- and post-design we exposed 50 officers from selected UK police forces to a fatigue-management training intervention. Pre- and post-intervention data collection included wrist actigraphy, a physiological and objective measure of sleep quantity and quality, as well as surveys including the Pittsburg Sleep Quality Index (PSQI), the World Health Organization Quality of Life (WHOQOL) instrument, the Epworth Sleepiness Scale (ESS), the Perceived Stress Scale (PSS) and the PTSD Checklist (PCL-5).FindingsWe found the training significantly increased sleep quantity by 25 min per 24-h period, from 6.9 h to 7.3 h (f = 9.2; df = 519; p = 0.003), and improved sleep quality scores from 84% before the intervention, to 87% after the training (f = 10.6; df = 519; p = 0.001).Research limitations/implicationsContinued research is necessary to guide nationwide implementation of fatigue-management and sleep health promotion programs.Practical implicationsOur findings show that a fatigue-management training resulted in a significant and meaningful increase in sleep among police officers.Originality/valueThis is the first piece of research to emerge from a full population survey (response rate 16.6%) of the UK police service exploring issues of sleep and fatigue.


PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259533
Author(s):  
Sally Fowler-Davis ◽  
Katharine Platts ◽  
Michael Thelwell ◽  
Amie Woodward ◽  
Deborah Harrop

Objectives Fatigue syndromes have been widely observed following post-viral infection and are being recognised because of Covid19. Interventions used to treat and manage fatigue have been widely researched and this study aims to synthesise the literature associated with fatigue interventions to investigate the outcomes that may be applicable to ‘long Covid’. Method The study was registered with PROSPERO (CRD42020214209) in October 2020 and five electronic databases were searched. Papers were screened, critically appraised and data extracted from studies that reported outcomes of fatigue interventions for post-viral syndromes. The narrative synthesis includes statistical analysis associated with effectiveness and then identifies the characteristics of the interventions, including identification of transferable learning for the treatment of fatigue in long Covid. An expert panel supported critical appraisal and data synthesis. Results Over 7,000 research papers revealed a diverse range of interventions and fatigue outcome measures. Forty papers were selected for data extraction after final screening. The effectiveness of all interventions was assessed according to mean differences (MD) in measured fatigue severity between each experimental group and a control following the intervention, as well as standardised mean differences as an overall measure of effect size. Analyses identified a range of effects–from most effective MD -39.0 [95% CI -51.8 to -26.2] to least effective MD 42.28 [95% CI 33.23 to 51.34]–across a range of interventions implemented with people suffering varying levels of fatigue severity. Interventions were multimodal with a range of supportive therapeutic methods and varied in intensity and requirements of the participants. Those in western medical systems tended to be based on self- management and education principles (i.e., group cognitive behavioural therapy (CBT). Conclusion Findings suggest that the research is highly focussed on a narrow participant demographic and relatively few methods are effective in managing fatigue symptoms. Selected literature reported complex interventions using self-rating fatigue scales that report effect. Synthesis suggests that long Covid fatigue management may be beneficial when a) physical and psychological support, is delivered in groups where people can plan their functional response to fatigue; and b) where strengthening rather than endurance is used to prevent deconditioning; and c) where fatigue is regarded in the context of an individual’s lifestyle and home-based activities are used.


Kanzo ◽  
2021 ◽  
Vol 62 (10) ◽  
pp. 601-612
Author(s):  
Sadamoto Zenda ◽  
Masafumi Ikeda ◽  
Takumi Kawaguchi ◽  
Masako Shomura ◽  
Yasushi Miyazawa ◽  
...  
Keyword(s):  

2021 ◽  
Vol 237 ◽  
pp. 109632
Author(s):  
Achoyamen Michael Ogbeifun ◽  
Selda Oterkus ◽  
Julia Race ◽  
Harit Naik ◽  
Dakshina Moorthy ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6401
Author(s):  
Maria J. Pinto-Bernal ◽  
Carlos A. Cifuentes ◽  
Oscar Perdomo ◽  
Monica Rincón-Roncancio ◽  
Marcela Múnera

Physical exercise contributes to the success of rehabilitation programs and rehabilitation processes assisted through social robots. However, the amount and intensity of exercise needed to obtain positive results are unknown. Several considerations must be kept in mind for its implementation in rehabilitation, as monitoring of patients’ intensity, which is essential to avoid extreme fatigue conditions, may cause physical and physiological complications. The use of machine learning models has been implemented in fatigue management, but is limited in practice due to the lack of understanding of how an individual’s performance deteriorates with fatigue; this can vary based on physical exercise, environment, and the individual’s characteristics. As a first step, this paper lays the foundation for a data analytic approach to managing fatigue in walking tasks. The proposed framework establishes the criteria for a feature and machine learning algorithm selection for fatigue management, classifying four fatigue diagnoses states. Based on the proposed framework and the classifier implemented, the random forest model presented the best performance with an average accuracy of ≥98% and F-score of ≥93%. This model was comprised of ≤16 features. In addition, the prediction performance was analyzed by limiting the sensors used from four IMUs to two or even one IMU with an overall performance of ≥88%.


2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Tao Wang ◽  
Jianxia Zhai ◽  
Xian-Liang Liu ◽  
Li-Qun Yao ◽  
Jing-Yu (Benjamin) Tan

Background. Fatigue is one of the most common symptoms among breast cancer survivors. Although massage therapy has been commonly used for fatigue management, relevant evidence on the effectiveness of massage therapy for the reduction of fatigue in breast cancer survivors is still unclear. Objective. To identify the research evidence on the effectiveness and safety of massage therapy to manage fatigue in breast cancer survivors and summarize the characteristics of massage therapy protocols utilized for fatigue management in breast cancer survivors. Methods. Randomized controlled trials (RCTs) using massage therapy to manage cancer-related fatigue were searched in PubMed, Medline, Web of Science, Cochrane Library, Cumulative Index to Nursing and Allied Health Literature (CINAHL), ScienceDirect, PsycINFO, Wan Fang Data, and China National Knowledge Infrastructure (CNKI) from the inception of each database to March 2021. The Cochrane Back Review Group Risk of Bias Assessment Criteria was used to assess the methodological quality of the included studies. Descriptive analysis was applied for a summary and synthesis of the findings. The primary outcome was fatigue measured by any patient-reported questionnaires, and the secondary outcomes were quality of life and massage-therapy-related adverse events. Results. Ten RCTs were included. Massage therapy was found to have a positive effect on fatigue management compared with routine care/wait list control groups and sham massage. Despite these encouraging findings, the review concluded that most of the included studies exhibited an unsatisfactory experimental design, particularly, inadequate blinding and allocation concealment. The duration and frequency of the massage therapy interventions varied across the studies. Adverse events were reported in three included studies, with no study conducting causality analysis. Conclusion. This systematic review provides the latest research evidence to support massage therapy as an encouraging complementary and alternative medicine approach to managing fatigue in breast cancer survivors. More rigorously designed, large-scale, sham-controlled RCTs are needed to further conclude the specific therapeutic effectiveness and safety issues of massage therapy for fatigue management.


2021 ◽  
pp. 030802262110422
Author(s):  
Avril Drummond ◽  
Fiona Nouri ◽  
Joanne Ablewhite ◽  
Laura Condon ◽  
Roshan das Nair ◽  
...  

Introduction Post-stroke fatigue (PSF) is common and debilitating. However, while its effective management is a priority for clinicians and stroke survivors, there remains little evidence to provide guidance or underpin practice. Our aim, therefore, was to gain insights into the experiences of clinicians who routinely manage patients with fatigue. Method Qualitative interview study. The target was to recruit a purposeful sample of approximately 20 participants with expertise in managing PSF and fatigue arising from other conditions. Maximum variation sampling was used to ensure a balance of participants across different settings. Data were analysed using a framework approach, iteratively developed and refined by including emergent themes. Results We recruited 20 participants: nine occupational therapists (OTs), five physiotherapists, three nurses and three psychologists, which included three ‘fatigue experts’ from Europe and Australia. Analysis generated core themes around management and strategies used; these were similar regardless of professional background, clinical or geographical setting or condition treated. OTs felt a particular responsibility for fatigue management, although multidisciplinary teamwork was stressed by all. Conclusion There are clear similarities in clinicians’ experiences of managing PSF and fatigue across different conditions and also across professional groups. Clinicians rely predominantly on their own clinical knowledge for guidance.


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