691
Views
0
CrossRef citations to date
0
Altmetric
Article

Encountering uncertainty and complexity in decision-making: an observational study of clinical reasoning among medical and interprofessional groups of health care students

, &
Pages 262-271 | Received 06 Aug 2021, Accepted 30 Mar 2022, Published online: 10 Jun 2022
 

ABSTRACT

Poor teamwork and clinical decisions have a major impact on patient outcomes and safety. Clinical decision-making rarely occurs under ideal conditions, but complex health care environments make this particularly challenging for new graduate health professionals as beginner practitioners. Recent evidence indicates that effective collaboration also enhances quality of clinical decisions for patients with complex needs. However, collaborative decision-making is not standard in educational curricula, where clinical decision-making is usually taught in profession-specific courses emphasizing individual rationality and cognition. The aim of this study was to gain detailed insights into the practice of clinical decision-making by small groups of medical and other health care students. A qualitative observational study design was used. Students (n = 45) took part in a short role-play of a hospital clinical ethics committee meeting discussing three complex patient cases, considering clinical and ethical aspects of care, and made a group decision about priorities for treatment. Audio-recorded data were transcribed verbatim and inductively analyzed based on Strauss’s “Theoretical Coding” approach. Coding and interpretation of transcripts resulted in three key themes: a) values/beliefs as a basis for negotiation; b) encountering obstacles; c) overcoming obstacles. All groups benefited from shared knowledge, assisting each other in dealing with uncertainty and perceived emotional burden. In small groups, they were able to overcome challenges and fulfil a goal potentially beyond many of them as individuals. Provision of learning opportunities where students learn to share expertise and decision-making responsibilities has the potential to optimize their learning in preparation for challenges in future practice.

Disclosure statement

No conflict of interest is declared by the authors.

Author Contribution

All authors (SB, KK, KG) made substantial contributions to the conception and design of the study and the analysis. SB contributed to the drafting of the manuscript and KK and KG revised it critically for important intellectual content. All authors (SB, KK, KG) approved the final manuscript for publication and have agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy and integrity of the work are appropriately investigated and resolved.

Supplementary material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/13561820.2022.2061928

Additional information

Funding

The author(s) reported there is no funding associated with the work featured in this article.

Notes on contributors

Sarah Berger

Sarah Berger is a registered nurse with research interests in interprofessional education and collaboration, professionalism in health care and bioethics.

Katja Krug

Katja Krug is a health services researcher with special interests in interprofessional collaboration, palliative care and quality of life.

Katja Goetz

Katja Goetz is a sociologist with research interests in communication between health professionals and patients, working conditions of health professionals and also quality of life.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,151.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.