Skip to main content

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

Abstract

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.

Introduction

Post-stroke fatigue (PSF) is one of the most common symptoms 3 months after stroke [1] and can have negative implications for patients’ rehabilitation, physical function, activities in daily life, and quality of life [2,3,4]. Despite the high prevalence (25–85%) [5] and disabling nature, evidence-based interventions to prevent and treat PSF are currently lacking [6]. A major challenge is to achieve accurate diagnostics of PSF, a prerequisite for the development of novel preventive and therapeutic measures [7].

PSF can be defined as lack of energy, or increased need to rest, every day or nearly every day, leading to difficulties partaking in everyday activities [8]. The diagnosis of PSF is traditionally based on patient-reported outcome measures (PROMs). However, a recent review showed that the PROMs most commonly used to measure fatigue in stroke survivors have several limitations [9]. This is in line with a previous review, which did not find any fatigue PROM that met critical criteria for an ideal instrument [10]. Moreover, existing fatigue PROMs mostly include only one or two fatigue dimensions, such as the intensity or impact of fatigue, and do not assess other potentially relevant dimensions of the fatigue experience [9]. In addition, existing fatigue PROMs are not developed specifically for stroke survivors [11]. The former shortcomings of these fatigue PROMs may partly be explained by the lack of involvement of patients and health professionals in the instrument development process [9], which is strongly recommended in guidelines [12, 13] and often a part of the health technology assessment for medicinal product approval and reimbursement [14, 15].

Although relatively few qualitative studies have been published on PSF, they consistently describe fatigue as having several dimensions [16]. This includes core characteristics of PSF [16], different factors contributing to fatigue [17, 18], and various aspects of daily life affected by fatigue [19]. However, previous qualitative studies have not aimed to guide item development in a new PSF-specific PROM. Qualitative studies, through interviews or focus groups, are the preferred method to establish content validity in new PROMs [20]. Qualitative studies have the advantage of being able to directly engage with the experts, who can provide a comprehensive understanding of the construct to be measured. Experts include both patients and health professionals. Patients have the symptom experience, and health professionals have clinical experience treating these patients and can describe typical characteristics, consequences and management of the symptom [13, 20,21,22,23,24]. A qualitative study will provide a deeper understanding of PSF, how it impacts life, and management strategies, which is critical to addressing the limitations of existing fatigue PROMs and informing the content and structure of a PROM specifically developed to measure PSF.

The overall 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 new PSF-specific PROM.

Methods

Design

In this qualitative study, individual semi-structured interviews were conducted with stroke survivors with PSF and multi-disciplinary focus groups with health professionals who provide clinical care to stroke patients. This study was conducted in Norway as part of a larger research project, which includes three sub-studies with the overall aim of developing and testing a new PROM for PSF. This study has followed COSMIN criteria for establishing content validity in PROMs [13], as well as the COREQ checklist for qualitative studies (Online resource 1) [25].

Participants

Stroke survivors

Nine stroke survivors were included in this study. The inclusion criteria were: (1) stroke within the last 2 years, (2) 18 years or older, and (3) meeting the diagnostic criteria for PSF as defined by a clinical interview [8]. For the first criterion, all types of stroke were included, as defined by the International Classification of Diseases 10th edition (ICD-10) [26] and included codes for ischemic stroke (I63), non-traumatic intracerebral haemorrhage (I61), and stroke, not specified as haemorrhage or infarction (I64). The time period of stroke within the last 2 years was chosen because the level of post-stroke fatigue has previously been shown to remain constant for up to 2 years [27]. A purposive sampling strategy was used and aimed to recruit participants with diversity in age, gender, physical impairment, communication disorders and living accommodations. As these demographic and clinical variables may influence patients’ PSF experiences, such a purposive sampling strategy was intended to provide different perspectives and descriptions of PSF [23, 24]. Five stroke participants were recruited through a Facebook page for a stroke user organization, and four participants were recruited from the stroke outpatient clinic at a hospital in Oslo, Norway. Additional information is provided in the COREQ checklist including sampling strategy, study design, analysis and research team (Online resource 1).

Heath professionals

A total of 16 health professionals participated in 3 focus groups. All health professionals were involved in the clinical care of stroke patients, and recruited from different levels of health care services and from different disciplines. Participants with varied ages, genders, professions and years of clinical experience were recruited to obtain diverse perspectives on PSF.

Data collection

The first author conducted all the interviews and focus groups, and a co-author co-moderated the focus groups, observing and taking notes. Based on the study’s aim and previous literature reviews [2, 16], an interview guide was developed to ask: 1) how PSF is described from the perspective of stroke survivors, 2) what it is like to live with PSF, from the perspectives of both stroke survivors (based on personal experience) and health professionals (based on clinical observation), and 3) how PSF is managed by stroke survivors and by health professionals (Online resource 2).

Most interviews and focus groups lasted 60–80 min, while one interview lasted 45 min. All interviews and focus groups were audio-recorded and transcribed verbatim by the first author. Reflection notes were made immediately after completing each interview/focus group, which aimed to describe contextual information as well as immediate reflections on the data. In addition to interviews, we obtained the following data from the stroke survivors: demographics, stroke characteristics and clinical outcome, modified Rankin Scale (MRS) [28], fatigue (Fatigue Severity Scale [FSS]) [29], depression and anxiety (Hospital Anxiety and Depression Scale [HADS]) [30, 31], cognitive function (Montreal Cognitive Assessment [MOCA]) [32], and health-related quality of life (EuroQol five dimension scale [EQ-5D]) [33, 34]. Focus group participants answered questionnaires about their age, gender, profession, and years of experience with stroke.

Data analysis

Methods for inductive content analysis were applied with the aim to identify, analyse and report themes and categories of stroke survivors’ experiences and health professionals’ descriptions of PSF [35, 36]. The analysis included reading, open coding, organizing and abstracting codes into sub-categories, categories and themes, and reporting the results. Data collection and analysis occurred simultaneously as an iterative process. The decision to stop data collection was based on a comprehensive evaluation including considerations of the study aim, interview quality and when analysis revealed no new categories in the additional data [35, 37].

Upon completion of each interview, transcripts were imported to NVIVO (v.11), a qualitative data analysis software used to enhance efficiency and transparency in the analytical process [38]. Analysis of the two populations was done separately and was combined for reporting the results. The transcripts were read and re-read several times to get a sense of the whole material. The coding process started after conducting the first three interviews and continued consecutively throughout the process of data collection and analysis. First, the material was coded by its manifest content, i.e. the level of interpretation and abstraction was low at this point. The analytical units in each transcript were given one or more individual codes. All codes were grouped according to their content and formed sub-categories and categories. These categories were first formed separately within each transcript, before further analyses of these categories across the data material in each of the two populations. This method allowed for transparency in the process of finding major and minor categories, patterns between categories, and similarities and differences across the stroke survivors and health professionals. All of the sub-categories were abstracted to categories, which further represented four themes. Examples are presented in Table 1.

Table 1 Analysis, examples of themes, categories, sub-categories and codes

Questionnaire data were summarized using descriptive statistics (i.e., frequencies, medians, ranges) to describe the characteristics of participating stroke survivors and health professionals.

Ethical considerations

The study was approved by the Regional Medical and Health Ethics Committee of Southeastern Norway (REK), with reference [reference removed due to blinding]. All participants received written information about the study, gave written consent and were informed about their ability to withdraw from the study at any time before publication of results.

Results

Analysis of the data material revealed four themes that illustrate the experiences and descriptions of PSF: characteristics, interference and aggravating factors, management, and PSF awareness (Fig. 1). Results from the individual interviews with stroke survivors and from the focus groups with health professionals were mostly consistent, and focus group findings are only reported when they contributed additional information. Characteristics of the 9 participating stroke survivors are summarized in Table 2 and characteristics of the 16 participating health professionals are summarized in Table 3.

Fig. 1
figure 1

Conceptual model of post-stroke fatigue, including themes and categories. PSF has different characteristics that affected how PSF interfered with patients’ lives. These interfering and aggravating factors had to be managed, and the use of management strategies could again influence the characteristics of PSF and whether or how PSF continued to interfere with their lives. Fatigue was initially interpreted as a normal reaction to having a stroke, and stroke survivors first became aware of PSF sometime after their initial hospital admission

Table 2 Demographics, clinical characteristics and health-related quality of life of the stroke survivors with PSF (individual interview participants)
Table 3 Background characteristics of health professionals (focus group participants)

Characteristics of PSF

In the data material from both stroke survivors and health professionals, PSF was described as a complex and multifactorial phenomenon. For the theme characteristics of PSF five categories were identified: quality, intensity, diurnal variations, restitution time, and invisibility (Fig. 1).

Perceptions of PSF varied between the stroke survivors, and different descriptions of fatigue quality included three sub-categories: mental fatigue, physical fatigue, and general fatigue. Some described feeling mentally fatigued, whereas for others, fatigue presented itself physically as a bodily sensation. However, most used general terms, such as:

“I need to rest my head, I get exhausted in my head, and then I also become tired in my body.” (Participant 4)

“I have not done anything other than just sit still [ … ] It is not really tiredness either, it is just a completely different experience, not tired and not sleepy, but a combination of those two, but in a COMPLETELY different way than before the stroke.” (Participant 7)

The intensity of fatigue spanned from total exhaustion that prevented the stroke survivors from completing ordinary duties, to manageable fatigue. The stroke survivors also experienced diurnal variations of fatigue. Most had days or times during a day without fatigue, and some of them described waking up refreshed, whereas others were fatigued in the morning. The stroke survivors described different patterns of diurnal variations, but a common feature was that the levels of fatigue varied throughout the day. The stroke survivors could also have days or weeks of feeling better or worse. These diurnal and periodic variations of fatigue were a prominent characterization of their experiences.

“It [fatigue] is bad in the morning, but then it gets better. It is usually best at mid-day, and then early afternoon it is a dead break [ … ] and in the evening … every evening it is just as if I have used all the energy [ … ] then I am very tired...” (Participant 7)

When the stroke survivors experienced fatigue, they needed long restitution time. The actual recovery time needed varied, but in general, longer restitution time was needed after the stroke. They further described how PSF was invisible and that other people had difficulties recognizing their fatigue:

“It is my level of energy … the invisible complaints that are a challenge [ … ] I look quite well, but I have been sick and I am still marked by that … ” (Participant 3)

The stroke survivors also had difficulties finding appropriate words to describe PSF to others and to explain how their fatigue was distinct from regular tiredness. This invisibility of PSF constituted the final category of PSF characteristics.

Interfering and aggravating factors

The stroke survivors described how fatigue interfered with their lives and how different factors aggravated fatigue. Four categories of interfering and aggravating factors were identified: emotions, cognitive performance, activities in daily life, and participation in society. Having fatigue interfered with all these aspects of their lives, and in addition, different factors in all four categories could aggravate their fatigue.

PSF also affected the stroke survivors’ emotions. Having an acute stroke was a frightening experience for the stroke survivors, and the continuous presence of fatigue after the stroke perpetuated their perception of feeling unwell. This contradicted the stroke survivors’ understanding of their stroke as a one-time incident from which they had fully or mostly recovered. The stroke survivors also lacked motivation, worried that people would perceive them as lazy and experienced sadness related to how fatigue interfered with their lives:

“I have to say that it is quite depressing. Several times, like after that Sunday, I thought: Do you know what? Now you have been wasting a whole day on nothing. Nothing, you have not done anything.” (Participant 2)

Frustration with being fatigued was also described by the health professionals:

“It takes time [to understand that they are fatigued] and it is a test of patience that is difficult for the patients to accept. They get really frustrated because they are so tired.” (Focus group 3)

While having fatigue interferes with their emotions, the stroke survivors also described that experiencing irritation or sadness could also trigger or aggravate fatigue.

Having fatigue also interfered with stroke survivors’ cognitive performance. During periods of fatigue, the stroke survivors experienced difficulties in communicating, interacting socially, concentrating and maintaining attention. The stroke survivors further described that attempts to concentrate on a task, make decisions, and sustain attention towards a subject could often aggravate the fatigue. Health professionals reported that cognitively demanding rehabilitation activities, such as hand training, often resulted in patients getting excessively fatigued:

“Previously a lot of patients performed physical activities regularly, but now they get tired in a completely different way. Performing upper limb rehabilitation … it is not a lot of repetitions before they get mentally exhausted, because they really need to concentrate and keep focusing.” (Focus group 2)

PSF also interfered with the ability to perform regular activities in daily life, such as activities outside the home, household chores or sustained activities without rest, and even getting dressed or taking a shower in extreme instances. These activities in daily life were also reported to aggravate fatigue.

PSF interference with activities was further complicated by both the intensity and the diurnal variations of fatigue, leading to difficulties with anticipating their day-to-day capacity. This unpredictability was described as an essential and problematic consequence of having fatigue, and made life with PSF more challenging to manage:

“And also, when you have something that you need to do … you don’t know when it [fatigue] will come or if you will get tired from things.” (Participant 2)

The stroke survivors described that fatigue in general was an obstacle for them to participate in society. Stroke survivors of working age all reported that they worked less, or not at all, due to their fatigue. Being social, engaging in hobbies, and keeping in contact with friends and family were experienced as difficult due to fatigue.

“It don’t have the same energy to be with them [my family] [ … ] Before, we used to babysit our grandchildren [ … ] but now, I don’t at all have the capacity to do the nice things anymore, and that’s too bad … ” (Participant 7)

Management

Both stroke survivors and health professionals described a continuous process of trying to find a balance and adapting to life with PSF. The stroke survivors gradually learned to recognize PSF characteristics, how PSF interfered with their life and its aggravating factors. The health professionals in this study described how they observed, advised and supported this process. Two different management strategies were identified: emotional and behavioural strategies.

Both stroke survivors and health professionals described different emotional strategies. Sometime after their stroke, the stroke survivors acknowledged that fatigue was part of their life and accepted that they had to adjust accordingly. Some also tried to ignore fatigue, and carried out activities despite knowing that participating would induce severe fatigue. The health professionals underlined the importance of patients needing to experience on their own how fatigue affected them, and that this was important in accepting the new situation:

“They are used to having a lot of energy and suddenly they don’t. And I see that several patients need to go through everything a couple of times, where they get really fatigued, until they start prioritizing, and understand that this is how things need to be.” (Focus group 2)

The stroke survivors described different behavioural strategies aimed at either preventing or relieving fatigue. Preventive strategies included limiting the activities performed, prioritizing, planning, structuring the days, resting in advance and seeking information.

“It is a delicate balance between activities and rest. If I overdo it … sometimes I feel very good, and then I get on with training, but then mostly the next day and even the day after is ruined.” (Participant 1)

The health professionals helped the patients to acknowledge their fatigue, advised them not to spend all their energy at once and helped them to find a balance between activities and rest:

I try to put on the breaks sometimes, because some of them are very eager [ … ] I advise them to take a break, this is a marathon, not a sprint.” (Focus group 1)

To relieve fatigue, both stroke survivors and health professionals reported different strategies such as withdrawing from a situation, resting, and sleeping. For some stroke survivors, resting involved sitting still and solving a crossword puzzle (physical rest), some needed rest in a dark and quiet room devoid of stimulus (mental rest), whereas others described a combination of both these resting strategies.

PSF awareness

Both stroke survivors and health professionals interpreted fatigue in the early phase as a normal reaction to being acutely ill. Later in the rehabilitation phase, depending on when they recovered from other stroke sequelae, the stroke survivors expected to return to their pre-stroke level of energy. However, when their fatigue did not resolve, their awareness of PSF became gradually evident. The health professionals reported that most stroke survivors were exhausted and tired in the early phase, but they did not define it as PSF, as fatigue during this stage was perceived as temporary:

“We don’t call it fatigue in the acute phase, that’s more after a while when we can see how the damage manifests itself, because it is natural to be very tired and exhausted in the beginning.” (Focus group 3)

Both stroke survivors and health professionals described PSF as evident when fatigue started to be in conflict with the patient’s and society’s expectations of performance, often occurring after their initial hospitalization due to their stroke.

“When I came home from rehab … I was supposed to start doing things, inviting people and being social, things that I love to do. Then I did not have energy to do the things I did before. [ … ] we have this tradition inviting a lot of people. I was looking forward to it. But I was SO tired, and I did not understand it. I just sat there crying, I can’t do this, we have to call everybody and cancel.” (Participant 5)

Discussion

In this study exploring the PSF experiences of stroke survivors and PSF descriptions by health professionals, four themes were identified: PSF characteristics, interference and aggravating factors, management, and PSF awareness. PSF was described as an experience of mental, physical or general feeling of exhaustion and tiredness, with a discrepancy between the level of activity and the level of fatigue. PSF interfered with, and was aggravated by, emotions, cognitive performance, activities in daily life and participation in society. To manage PSF, both emotional and behavioral strategies were used. It took time before patients were aware of PSF, and it often became evident when fatigue resulted in inability to carry out expected daily activities.

Themes and categories of PSF

The first theme, characteristics of PSF, contained five categories important for the characterization of PSF. In line with previous studies [18, 40], quality was described as mental, physical, and general fatigue. Likewise, the diurnal variations in fatigue intensity found in this study are in agreement with previous studies on PSF [18]. Further, intensity of and diurnal variations in PSF have also been found to be distinct from fatigue in other chronic conditions, such as multiple sclerosis [41]. Despite these prevalent findings, existing fatigue PROMs mostly lack items on quality subtypes and diurnal variations [9]. Interestingly, stroke survivors in this study experienced fatigue despite being in good physical condition, supporting a previous review that found no association between PSF and physical fitness [42]. In contrast, several existing fatigue PROMs include impaired physical condition as an indicator of fatigue. However, these fatigue PROMs are not developed or designed specifically to assess fatigue in a stroke population [9]. This emphasizes the problems of using a generic PROM to assess PSF and suggests that assessment of PSF requires a disease-specific PROM, which is currently not available.

Another theme of PSF in this study was interfering and aggravating factors. This included the categories: emotions, cognitive performance, activities in daily life and participation in society. Previous studies have shown that PSF leads to frustration and emotional disturbances [17], interferes with cognition [43], and also impacts activities at a social, family and community level [17, 19].

The third theme of PSF was management, including emotional and behavioral strategies. Accepting fatigue and adjusting expectations, applying energy-conservation strategies and resting both in advance of and after activity, as well as being physically active and receiving support from others have been previously described as strategies for managing PSF [16, 18, 19, 43]. Although limited evidence exists on the effectiveness of different management strategies, improved assessment and identification of such strategies will enable future studies to compare their effectiveness.

Diagnostic criteria and PSF awareness

A major limitation of existing fatigue PROMs is the lack of clear diagnostic criteria. The stroke survivors in this study experienced fatigue in the early phase after stroke, similar to observations made by health professionals. Both stroke survivors and health professionals described how PSF interfered with the rehabilitation process. Nevertheless, both patients and health professionals interpreted PSF during this stage as a normal response, and did not necessarily recognize it as a significant problem. This is in agreement with a previous study reporting that fatigue first became evident during hospital admission, but the impact on role loss was not realized until after discharge [43]. In contrast, the case definition for PSF developed by Lynch et al. [8] contains individual criteria for detecting PSF during hospitalization, as the authors acknowledge PSF in the early phase to be important. In addition, a longitudinal observational study found that having PSF in the early phase after a stroke was an independent risk factor for poor physical health 18 months after stroke [3]. These prior studies highlight the importance of assessing and diagnosing PSF in the early phase after stroke.

As fatigue is a common symptom in the general population, not all fatigue experienced after a stroke should necessarily meet the definition of PSF. In individuals with a previous (pre-stroke) history of fatigue, PSF should only be considered when the feeling of fatigue is substantially different in its characteristics, and/or severely increased in intensity. For others, PSF should be considered when the feelings of fatigue are new and persistent after the stroke. However, to accurately distinguish newly developed post-stroke fatigue from pre-existing fatigue through the use of PROMs could be challenging. Including a retrospective item asking about pre-stroke fatigue history could be an important first step to investigating the potential similarities and differences between pre- and post-stroke fatigue.

PSF as a multidimensional phenomenon

This study highlights the complexity and multidimensionality of PSF, which included closely interacting emotional, cognitive, physical and social aspects. When measuring complex constructs such as fatigue, a multidimensional measurement instrument is preferable in order to have a detailed assessment of all relevant dimensions [20]. For example, both symptom intensity and symptom interference measures are considered vital, as stroke survivors might report fatigue as very distressing and significantly interfering with daily life, despite reporting relatively low fatigue intensity, and vice versa. This is in agreement with symptom experience in cancer patients, showing a non-linear relationship between symptom severity and symptom interference [44]. In order to have a more comprehensive assessment of PSF that includes all relevant dimensions, there is a need for a new PSF-specific PROM.

Study strengths and limitations

The study met all relevant COSMIN criteria, which are considered the gold standard for establishing content validity in PROM development [13]. Most of the COREQ criteria are also met, except returning transcripts and participant checking, as well as repeat interviews. We aimed to include a heterogeneous sample of participants in order to explore a broad range of experiences with PSF, but only nine stroke survivors participated in the study. In addition, stroke survivors were asked retrospectively about their fatigue experiences in the early phase and were interviewed up to 24 months post-stroke, introducing possible recall bias. Although the median age of the stroke survivors in this sample was low (59 years) compared to the median age for stroke in Norway (76 years) [45], our sample is too small for quantitative comparisons and the individual ages reflect an age distribution that is representative of the stroke populations in many countries. Another strength of this study was that the perspectives of health professionals working with stroke patients were also included, and results from these focus groups were largely consistent with results from the individual interviews with stroke survivors. Further, the overall aim of this study was to explore PSF to guide future development of a PSF-specific PROM. The results from this study will serve as the basis for item generation in the new PSF PROM. The drafted PROM will then be pilot-tested with cognitive interviews, giving the new participants the opportunity to add, modify and remove items.

Conclusion

This study highlights the complexity and multidimensionality of PSF, which included closely interacting emotional, cognitive, physical and social aspects. Fatigue was interpreted as a normal reaction in the early phase after stroke, and awareness of PSF first emerged when PSF came into conflict with the patient’s and society’s expectations of performance. Since stroke survivors might not immediately recognize their fatigue, health professionals can help patients to comprehend and adapt to living with fatigue. The results of this study will form the basis for item generation and the development of a comprehensive PSF-specific PROM. Further studies will follow COSMIN-methodology for PROM development, which will include: drafting the PSF PROM, pilot-testing it with cognitive interviews, and field-testing the PROM in a larger sample to explore dimensions and potentially reduce items; further evaluation of the final PROM’s measurement properties will then be conducted in a cross-sectional sample [20].

Availability of data and materials

Not applicable.

References

  1. Skaner, Y., Nilsson, G. H., Sundquist, K., Hassler, E., & Krakau, I. (2007). Self-rated health, symptoms of depression and general symptoms at 3 and 12 months after a first-ever stroke: A municipality-based study in Sweden. BMC Family Practice, 8(1), 61. https://doi.org/10.1186/1471-2296-8-61.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Lerdal, A., Bakken, L. N., Kouwenhoven, S. E., Pedersen, G., Kirkevold, M., Finset, A., & Kim, H. S. (2009). Poststroke fatigue--a review. Journal of Pain and Symptom Management, 38(6), 928–949. https://doi.org/10.1016/j.jpainsymman.2009.04.028.

    Article  PubMed  Google Scholar 

  3. Lerdal, A., & Gay, C. L. (2013). Fatigue in the acute phase after first stroke predicts poorer physical health 18 months later. Neurology, 81(18), 1581–1587. https://doi.org/10.1212/WNL.0b013e3182a9f471.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Kitzmuller, G., Mangset, M., Evju, A. S., Angel, S., Aadal, L., Martinsen, R., et al. (2019). Finding the way forward: The lived experience of people with stroke after participation in a complex psychosocial intervention. Qualitative Health Research, 29(12), 1711–1724. https://doi.org/10.1177/1049732319833366.

    Article  PubMed  Google Scholar 

  5. Cumming, T. B., Yeo, A. B., Marquez, J., Churilov, L., Annoni, J. M., Badaru, U., … English, C. (2018). Investigating post-stroke fatigue: An individual participant data meta-analysis. Journal of Psychosomatic Research, 113, 107–112. https://doi.org/10.1016/j.jpsychores.2018.08.006.

    Article  PubMed  Google Scholar 

  6. Acciarresi, M., Bogousslavsky, J., & Paciaroni, M. (2014). Post-stroke fatigue: Epidemiology, clinical characteristics and treatment. [Review]. European Neurology, 72(5–6), 255–261. https://doi.org/10.1159/000363763.

    Article  PubMed  Google Scholar 

  7. Nadarajah, M., & Goh, H. T. (2015). Post-stroke fatigue: A review on prevalence, correlates, measurement, and management. Topics in Stroke Rehabilitation, 22(3), 208–220. https://doi.org/10.1179/1074935714Z.0000000015.

    Article  PubMed  Google Scholar 

  8. Lynch, J., Mead, G., Greig, C., Young, A., Lewis, S., & Sharpe, M. (2007). Fatigue after stroke: The development and evaluation of a case definition. Journal of Psychosomatic Research, 63(5), 539–544. https://doi.org/10.1016/j.jpsychores.2007.08.004.

    Article  PubMed  Google Scholar 

  9. Skogestad, I. J., Kirkevold, M., Indredavik, B., Gay, C. L., Lerdal, A., & Group, N (2019). Lack of content overlap and essential dimensions - a review of measures used for post-stroke fatigue. Journal of Psychosomatic Research, 124, 109759. https://doi.org/10.1016/j.jpsychores.2019.109759.

    Article  PubMed  Google Scholar 

  10. Whitehead, L. (2009). The measurement of fatigue in chronic illness: A systematic review of unidimensional and multidimensional fatigue measures. Journal of Pain and Symptom Management, 37(1), 107–128. https://doi.org/10.1016/j.jpainsymman.2007.08.019.

    Article  PubMed  Google Scholar 

  11. Mead, G., Lynch, J., Greig, C., Young, A., Lewis, S., & Sharpe, M. (2007). Evaluation of fatigue scales in stroke patients. Stroke, 38(7), 2090–2095. https://doi.org/10.1161/STROKEAHA.106.478941.

    Article  PubMed  Google Scholar 

  12. Patrick, D. L., Burke, L. B., Gwaltney, C. J., Leidy, N. K., Martin, M. L., Molsen, E., & Ring, L. (2011). Content validity-establishing and reporting the evidence in newly developed patient-reported outcomes (PRO) instruments for medical product evaluation: ISPOR PRO good research practices task force report: Part 1-eliciting concepts for a new PRO instrument. Value in Health, 14(8), 967–977. https://doi.org/10.1016/j.jval.2011.06.014.

  13. Terwee, C. B., Prinsen, C. A. C., Chiarotto, A., Westerman, M. J., Patrick, D. L., Alonso, J., … Mokkink, L. B. (2018). COSMIN methodology for evaluating the content validity of patient-reported outcome measures: A Delphi study. Quality of Life Research, 27(5), 1159–1170. https://doi.org/10.1007/s11136-018-1829-0.

  14. U. S. Department of Health Human Services (2006). F. D. A. Guidance for industry: patient-reported outcome measures: use in medical product development to support labeling claims: draft guidance. (2006/10/13 ed., (vol. 4, p. 79).

    Google Scholar 

  15. EMA (2005). Reflection paper on the regulatory guidance for the use of healthrelated quality of life (HRQL) measures in the evaluation of medicinal products. European Medicines Agency (https://www.ema.europa.eu/en/documents/scientific-guideline/reflection-paper-regulatory-guidance-use-healthrelated-quality-life-hrql-measures-evaluation_en.pdf).

    Google Scholar 

  16. Eilertsen, G., Ormstad, H., & Kirkevold, M. (2013). Experiences of poststroke fatigue: Qualitative meta-synthesis. Journal of Advanced Nursing, 69(3), 514–525. https://doi.org/10.1111/jan.12002.

    Article  PubMed  Google Scholar 

  17. Young, C. A., Mills, R. J., Gibbons, C., & Thornton, E. W. (2013). Poststroke fatigue: The patient perspective. Topics in Stroke Rehabilitation, 20(6), 478–484. https://doi.org/10.1310/tsr2006-478.

    Article  CAS  PubMed  Google Scholar 

  18. Barbour, V. L., & Mead, G. E. (2012). Fatigue after stroke: The Patient's perspective. Stroke Research and Treatment, 2012, 863031–863036. https://doi.org/10.1155/2012/863031.

    Article  PubMed  Google Scholar 

  19. Flinn, N. A., & Stube, J. E. (2010). Post-stroke fatigue: Qualitative study of three focus groups. Occupational Therapy International, 17(2), 81–91. https://doi.org/10.1002/oti.286.

    Article  PubMed  Google Scholar 

  20. de Vet, H., Terwee, C., Mokkink, L., & Knol, D. (2011). Measurement in medicine: A practical guide (practical guides to biostatistics and epidemiology). Cambridge University Press. https://doi.org/10.1017/CBO9780511996214.

    Book  Google Scholar 

  21. Ricci, L., Lanfranchi, J.-B., Lemetayer, F., Rotonda, C., Guillemin, F., Coste, J., & Spitz, E. (2019). Qualitative methods used to generate questionnaire items: A systematic review. Qualitative Health Research, 29(1), 149–156. https://doi.org/10.1177/1049732318783186.

    Article  PubMed  Google Scholar 

  22. Prinsen, C. A. C., Mokkink, L. B., Bouter, L. M., Alonso, J., Patrick, D. L., de Vet, H. C. W., & Terwee, C. B. (2018). COSMIN guideline for systematic reviews of patient-reported outcome measures. Quality of Life Research, 27(5), 1147–1157. https://doi.org/10.1007/s11136-018-1798-3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Brod, M., Tesler, L. E., & Christensen, T. L. (2009). Qualitative research and content validity: Developing best practices based on science and experience. Quality of Life Research, 18(9), 1263–1278. https://doi.org/10.1007/s11136-009-9540-9.

    Article  PubMed  Google Scholar 

  24. Magasi, S., Ryan, G., Revicki, D., Lenderking, W., Hays, R. D., Brod, M., … Cella, D. (2012). Content validity of patient-reported outcome measures: Perspectives from a PROMIS meeting. Quality of Life Research, 21(5), 739–746. https://doi.org/10.1007/s11136-011-9990-8.

  25. Tong, A., Sainsbury, P., & Craig, J. (2007). Consolidated criteria for reporting qualitative research (COREQ): A 32-item checklist for interviews and focus groups. International Journal for Quality in Health Care, 19(6), 349–357. https://doi.org/10.1093/intqhc/mzm042.

    Article  Google Scholar 

  26. WHO (2004). ICD-10 international statistical classification of diseases and related health problems: Tenth revision, (2nd ed., ). World Health Organization.

    Google Scholar 

  27. Christensen, D., Johnsen, S. P., Watt, T., Harder, I., Kirkevold, M., & Andersen, G. (2008). Dimensions of post-stroke fatigue: A two-year follow-up study. Cerebrovascular Diseases, 26(2), 134–141. https://doi.org/10.1159/000139660.

    Article  PubMed  Google Scholar 

  28. van Swieten, J. C., Koudstaal, P. J., Visser, M. C., Schouten, H. J., & van Gijn, J. (1988). Interobserver agreement for the assessment of handicap in stroke patients. Stroke, 19(5), 604–607. https://doi.org/10.1161/01.str.19.5.604.

    Article  PubMed  Google Scholar 

  29. Lerdal, A., Gay, C., & Lee, K. (2013). Curvilinear relationship between age and post-stroke fatigue among patients in the acute phase following first-ever stroke. International Journal of Physical Medicine and Rehabilitation, 1(141). https://doi.org/10.4172/2329-9096.1000141.

  30. Zigmond, A. S., & Snaith, R. P. (1983). The hospital anxiety and depression scale. Acta Psychiatrica Scandinavica, 67(6), 361–370. https://doi.org/10.1111/j.1600-0447.1983.tb09716.x.

    Article  CAS  PubMed  Google Scholar 

  31. Herrmann, C. (1997). International experiences with the hospital anxiety and depression scale--a review of validation data and clinical results. Journal of Psychosomatic Research, 42(1), 17–41. https://doi.org/10.1016/s0022-3999(96)00216-4.

    Article  CAS  PubMed  Google Scholar 

  32. Nasreddine, Z. S., Phillips, N. A., Bedirian, V., Charbonneau, S., Whitehead, V., Collin, I., et al. (2005). The Montreal cognitive assessment, MoCA: A brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53(4), 695–699. https://doi.org/10.1111/j.1532-5415.2005.53221.x.

    Article  PubMed  Google Scholar 

  33. EuroQol Research Foundation (2019). EQ-5D-5L user guide.

    Google Scholar 

  34. Stavem, K., Augestad, L. A., Kristiansen, I. S., & Rand, K. (2018). General population norms for the EQ-5D-3 L in Norway: Comparison of postal and web surveys. Health and Quality of Life Outcomes, 16(1), 204. https://doi.org/10.1186/s12955-018-1029-1.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Elo, S., & Kyngas, H. (2008). The qualitative content analysis process. Journal of Advanced Nursing, 62(1), 107–115. https://doi.org/10.1111/j.1365-2648.2007.04569.x.

    Article  PubMed  Google Scholar 

  36. Hsieh, H. F., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative Health Research, 15(9), 1277–1288. https://doi.org/10.1177/1049732305276687.

    Article  Google Scholar 

  37. Malterud, K., Siersma, V. D., & Guassora, A. D. (2016). Sample size in qualitative interview studies: Guided by information power. Qualitative Health Research, 26(13), 1753–1760. https://doi.org/10.1177/1049732315617444.

    Article  PubMed  Google Scholar 

  38. Houghton, C., Murphy, K., Meehan, B., Thomas, J., Brooker, D., & Casey, D. (2017). From screening to synthesis: Using nvivo to enhance transparency in qualitative evidence synthesis. Journal of Clinical Nursing, 26(5–6), 873–881. https://doi.org/10.1111/jocn.13443.

    Article  PubMed  Google Scholar 

  39. Chiti, G., & Pantoni, L. (2014). Use of Montreal cognitive assessment in patients with stroke. Stroke, 45(10), 3135–3140. https://doi.org/10.1161/STROKEAHA.114.004590.

    Article  PubMed  Google Scholar 

  40. Kirkevold, M., Christensen, D., Andersen, G., Johansen, S. P., & Harder, I. (2012). Fatigue after stroke: Manifestations and strategies. Disability and Rehabilitation, 34(8), 665–670. https://doi.org/10.3109/09638288.2011.615373.

    Article  PubMed  Google Scholar 

  41. Eilertsen, G., Ormstad, H., Kirkevold, M., Mengshoel, A. M., Soderberg, S., & Olsson, M. (2015). Similarities and differences in the experience of fatigue among people living with fibromyalgia, multiple sclerosis, ankylosing spondylitis and stroke. Journal of Clinical Nursing, 24(13–14), 2023–2034. https://doi.org/10.1111/jocn.12774.

    Article  PubMed  Google Scholar 

  42. Duncan, F., Kutlubaev, M. A., Dennis, M. S., Greig, C., & Mead, G. E. (2012). Fatigue after stroke: A systematic review of associations with impaired physical fitness. International Journal of Stroke, 7(2), 157–162. https://doi.org/10.1111/j.1747-4949.2011.00741.x.

    Article  PubMed  Google Scholar 

  43. White, J. H., Gray, K. R., Magin, P., Attia, J., Sturm, J., Carter, G., & Pollack, M. (2012). Exploring the experience of post-stroke fatigue in community dwelling stroke survivors: A prospective qualitative study. Disability and Rehabilitation, 34(16), 1376–1384. https://doi.org/10.3109/09638288.2011.645111.

    Article  PubMed  Google Scholar 

  44. Doorenbos, A., Given, B., Given, C., Verbitsky, N., Cimprich, B., & McCorkle, R. (2005). Reducing symptom limitations: A cognitive behavioral intervention randomized trial. Psychooncology, 14(7), 574–584. https://doi.org/10.1002/pon.874.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Fjærtoft, H., Indredavik, B., Mørch, B., Skogseth-Stephani, R., Halle, K. K., & Varmdal, T. (2018). In N. Hjerneslagsregister (Ed.), Norwegian stroke registry annual report.

    Google Scholar 

Download references

Acknowledgements

The authors would like to thank the participants in this study for contributing their time and their experiences to this research. We would like to further acknowledge our research group, the Norwegian Study of Fatigue after Stroke (NORFAST) including user consultant Hilde Magelssen.

Code availability

Not applicable.

Funding

Ingrid Johansen Skogestad is funded by the Norwegian non-profit National Association for Public Health doctoral studentship. The funding source had no involvement in conducting or reporting of this study.

Author information

Authors and Affiliations

Authors

Contributions

The following authors contributed to the study: Study design: IJS, MK, CRB, BI, CLG and AL, data collection: IJS, PL and CRB, Data analysis: IJS, MK, PL, CRB, and AL. All authors participated in the interpretation of the findings and developing the manuscript, and have read and approved the final submitted manuscript.

Corresponding author

Correspondence to Ingrid Johansen Skogestad.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the Regional Medical and Health Ethics Committee of Southeastern Norway (REK), with reference # 2017/1741. All participants received written information about the study, gave written consent and were informed about their ability to withdraw from the study at any time before publication of results.

Competing interests

The authors declare that there are no conflicts of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1

: Online resource 1. Consolidated criteria for reporting qualitative studies (COREQ): 32-item checklist.

Additional file 2

: Online resource 2. Research questions and interview guides for individual interviews and focus groups.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Skogestad, I.J., Kirkevold, M., Larsson, P. et al. Post-stroke fatigue: an exploratory study with patients and health professionals to develop a patient-reported outcome measure. J Patient Rep Outcomes 5, 35 (2021). https://doi.org/10.1186/s41687-021-00307-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s41687-021-00307-z

Keywords