Characterization of exhaustion disorder and identification of outcomes that matter to patients: Qualitative content analysis of a Swedish national online survey Article Swipe
Elin Lindsäter
,
Frank Svärdman
,
Patrik Rosquist
,
John Wallert
,
Ekaterina Ivanova
,
Mats Lekander
,
Anna Söderholm
,
Christian Rück
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/smi.3224
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/smi.3224
Fatigue is a common presenting problem in healthcare settings, often attributed to chronic psychosocial stress. Understanding of fatigue and development of evidence‐based treatments is hampered by a lack of consensus regarding diagnostic definitions and outcomes to be measured in clinical trials. This study aimed to map outcome domains of importance to the Swedish diagnosis stress‐induced exhaustion disorder (ED; ICD‐10, code F43.8 A). An online survey was distributed nationwide in Sweden to individuals who reported to have been diagnosed with ED and to healthcare professionals working with ED patients. To identify outcome domains, participants replied anonymously to four open‐ended questions about symptoms and expectations for ED‐treatment. Qualitative content analysis was conducted of a randomized subsample of respondents, using a mathematical model to determine data saturation. Six hundred seventy participants (573 with reported ED, 97 healthcare professionals) completed the survey. Qualitative content analysis of answers supplied by 105 randomized participants identified 87 outcomes of importance to ED encompassing physical, cognitive, and emotional symptoms as well as functional disability. Self‐rating scales indicated that many ED participants, beyond reporting fatigue, also reported symptoms of moderate to severe depression, anxiety, insomnia, poor self‐rated health, and sickness behavior. This study presents a map of outcome domains of importance for ED. Results shed light on the panorama of issues that individuals with ED deal with and can be used as a step to further understand the condition and to reach consensus regarding outcome domains to measure in clinical trials of chronic stress and fatigue. Preregistration : Open Science Framework (osf.io) with DOI https://doi.org/10.17605/OSF.IO/4VUAG
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/smi.3224
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/smi.3224
- OA Status
- hybrid
- Cited By
- 33
- References
- 50
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4316466953
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4316466953Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/smi.3224Digital Object Identifier
- Title
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Characterization of exhaustion disorder and identification of outcomes that matter to patients: Qualitative content analysis of a Swedish national online surveyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-01-16Full publication date if available
- Authors
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Elin Lindsäter, Frank Svärdman, Patrik Rosquist, John Wallert, Ekaterina Ivanova, Mats Lekander, Anna Söderholm, Christian RückList of authors in order
- Landing page
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https://doi.org/10.1002/smi.3224Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/smi.3224Direct link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/smi.3224Direct OA link when available
- Concepts
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Psychosocial, Randomized controlled trial, Anxiety, Health care, Medicine, Clinical psychology, Content analysis, Emotional exhaustion, Psychology, Qualitative research, Psychiatry, Burnout, Sociology, Economic growth, Surgery, Economics, Social scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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33Total citation count in OpenAlex
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2025: 9, 2024: 16, 2023: 8Per-year citation counts (last 5 years)
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50Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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