Shared decision-making in the realm of uncertainty: The example of coronary artery disease through an EBM and complexity science lens

Sturmberg JP, Kissling B, Kühlein T (2022)


Publication Type: Journal article

Publication year: 2022

Journal

DOI: 10.1111/jep.13794

Abstract

Patients look to their clinicians for explanations and treatments that achieve predictable cures with certainty. Clinicians usually respond accordingly. Acknowledging uncertainty, while necessary, is difficult, anxiety-provoking and at times overwhelming for patients and clinicians alike. We here present three case studies to illustrate the uncertainties of managing patients with potentially life-threatening illnesses. Research aims to provide answers to clinical problems. But, conducting research almost inevitably entails a reduction of real-world complexities. Research ultimately can only provide 'partial or in general answers' mostly revealing new questions. Due to the complexity of clinical care, research cannot really achieve certainty and predictability for an individual within his specific living context and values. In an unavoidably uncertain environment, instead of oversimplifying, clinicians like patients-as far as possible-ought to better embrace a complexity thinking frame. This provides a deeper understanding how living bodies function as-a-whole within their living contexts. Uncertainty and unpredictability, being inherent elements of complexity thinking, cannot be overcome. However, it may be made easier to cope with uncertainty by at least adopting the thinking in probabilities for benefits and harms of patient related outcomes as introduced in Sackett's Evidence-Based Medicine framework. Through the lenses of evidence-based medicine and complexity sciences this paper critically explores the clinical management of three patients diagnosed as having coronary artery disease. They all received the same treatment even though they presented with very different clinical complaints arising from different disease manifestations. Looking at these case studies the authors reflect on the reasons behind this astonishing, but widely seen medical behaviour of 'one size fits all'. They critically reflect the importance of research and evidence in view of a person-centred solution.

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How to cite

APA:

Sturmberg, J.P., Kissling, B., & Kühlein, T. (2022). Shared decision-making in the realm of uncertainty: The example of coronary artery disease through an EBM and complexity science lens. Journal of Evaluation in Clinical Practice. https://doi.org/10.1111/jep.13794

MLA:

Sturmberg, Joachim P., Bruno Kissling, and Thomas Kühlein. "Shared decision-making in the realm of uncertainty: The example of coronary artery disease through an EBM and complexity science lens." Journal of Evaluation in Clinical Practice (2022).

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