Reconceptualizing rehabilitation research via an enactive framework and a radically interdisciplinary cross-analysis: a study protocol on fatigue in post COVID-19 condition (PCC)
DOI:
https://doi.org/10.2340/jrm.v57.42254Keywords:
fatigue, interdisciplinary study, models, biopsychosocial, neurological rehabilitation, post-acute COVID-19 syndromeAbstract
Objective: To present a radically interdisciplinary research approach to ill-defined symptoms, with a focus on fatigue as a major symptom of post COVID-19 condition, where multiple and, to date, rarely combined approaches may yield a fuller understanding of these symptoms.
Design: Protocol for a mixed-methods study comprising an interdisciplinary cross-analysis.
Patients: 35 persons with post COVID-19 condition and severe fatigue were included, and 35 age-, sex-, and educationally matched controls who recovered from COVID-19 without post COVID-19 condition.
Methods: Participants were assessed by a multidisciplinary research team as follows: physician assessment; blood and urinalysis; spirometry and physical performance tests; neuropsychological tests; structural and functional magnetic resonance imaging; extended immunological tests (cytokines); and qualitative phenomenological analysis of interviews. Data will be analysed in accordance with established methods in each of these research fields and by a cross-analysis methodology developed from within an enactive framework. This framework encompasses a focus on neuroscientific, physiological, and experiential aspects of the person as a living being in their sociocultural world.
Conclusion: The biopsychosocial model needs to be implemented in research according to methods that allow radically different research paradigms, typically seen as incommensurable, to inform each other in a non-reductionist manner. One application of such an approach is therefore described.
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Copyright (c) 2025 Richard Levi, Ulrika Birberg Thornberg, Ida Blystad, Anestis Divanoglou, David Engblom, Felipe Leon, Sofia Morberg Jämterud, Kristin Zeiler
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