The mind electric: Challenges to clinical categories from a person-centred perspective and the possibilities of metaphysics and art for clinician, patient, and treatment.
Alexandra PârvanPublished in: Journal of evaluation in clinical practice (2018)
The paper proposes that frameworks typical to metaphysics and art could be used in clinical treatment in somatic and psychiatric contexts to ensure improved care. The concept of the "body electric" of somatic patients which I introduced in previous work is developed further and paired with the "mind electric" of psychiatric patients. Both are defined as a patient's personally generated metaphysical possibility of being healthy-within-illness which is experientially actualized. Both concepts are used here to explore the alternative and the serious challenges to treatment approaches focused on clinical categories, disease, provision, and promotion of standardized or "black-box" therapies. An argument against the idea implied by the hope for such mass treatments and corresponding overreliance on science, namely, that health comes from fixing and regularizing, is developed based on cultural history and the evidenced fact that personally assumed health, just like art and metaphysics, is transgressive of scientific data, and accommodates the untrue, the impossible or the irregular as actual and normal. Because normality is created only with the help of disorder and from within it for chronic patients, clinicians should offer them the metaphysical care they need to produce and actualize their possibility of irregular normality or their body/mind electric. Better treatments can only be provided when scientific advances will be matched with advances in the humanistic competence of clinicians.
Keyphrases
- end stage renal disease
- healthcare
- public health
- newly diagnosed
- palliative care
- chronic kidney disease
- ejection fraction
- mental health
- prognostic factors
- peritoneal dialysis
- gene expression
- case report
- antiretroviral therapy
- machine learning
- chronic pain
- smoking cessation
- electronic health record
- artificial intelligence
- patient reported