Abstract
Chronic pain is an expensive and growing problem within industrialised countries [1–4]. The ever-expanding volume of research in this area ranges across physiological and bio-psychosocial models and runs parallel to changes in social attitudes and beliefs towards health [5]. In a bio-psychosocial model, pain is conceptualised as a perception based on the interaction between physiology (specific pain receptors) and emotional, motivational and cognitive modifying factors [6]. There is an apparent reluctance of many medical professionals to abandon this body/mind dualism so the search for a cause and cure continues, as does the confusion and frustration of people seeking help for chronic pain. Chronic pain research is often unidisciplinary, lacking the interdisciplinary focus to generate integrated theory and interventions. To describe pain research, Sullivan and Lewin use the analogy of a group of people in a dark room who describe an elephant based on what they can touch [7]; many disciplines touch a piece of the elephant that is called pain, but most cannot tell whether they have the trunk or the tail.
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Notes
- 1.
“Focusing on the inadequacy of models to reflect or predict the infinite subtlety of human behaviour, and the false promises of the Evidence-Based Medicine movement, Willis encourages us to have faith in our own intuitions as doctors, teachers, managers, or in whatever roles we play in relating to other human beings”. Review by Douglas Jeffries, GP, on the Amazon.UK website (http://www.amazon.co.uk/exec/obidos/ASIN/1857754042/qid=1093000452/sr=1-6/ref=sr_1_8_6/026-6750948-5058031).
- 2.
Centre for Complexity Research—http://www.liv.ac.uk/ccr/, The Complexity Society—http://www.complexity-society.com/, Plexus Institute—http://www.plexusinstitute.org/services/Fractal_Networks.cfm, Complexity in Primary Care—http://www.complexityprimarycare.org, and Health Complexity Group—http://www.healthcomplexity.net.
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Brown, C.A. (2013). Pain and Complex Adaptive System Theory. In: Sturmberg, J., Martin, C. (eds) Handbook of Systems and Complexity in Health. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4998-0_25
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