Clinical reasoning processes: unravelling complexity through graphical representation

Insights into emergency physicians' minds in the seconds before and into a patient encounter

Clinical reasoning is a core competency in medical practice. No study has explored clinical reasoning occurring before a clinical encounter, when physicians obtain preliminary information about the patient, and during the first seconds of the observation phase. This paper aims to understand what happens in emergency physicians' minds when they acquire initial information about a patient, and when they first meet a patient. The authors carried out in-depth interviews based on the video recordings of emergency situations filmed in an "own-point-of-view-perspective". 15 expert emergency physicians were interviewed between 2011 and 2012. Researchers analysed data using an interpretive approach based on thematic analysis and constant comparison. Almost all participants used a few critical pieces of information to generate hypotheses even before they actually met the patient. Pre-encounter hypotheses played a key role in the ensuing encounter by directing initial data gathering. Initial data, collected within the first few seconds of the encounter, included the patient's position on the stretcher, the way they had been prepared, their facial expression, their breathing, and their skin colour. Physicians also rapidly appraised the seriousness of the patient's overall condition, which determined their initial goals, i.e. initiating emergency treatment or pursuing the diagnostic investigation. The study brings new insights on what happens at the very beginning of the encounter between emergency physicians and patients. The results obtained from an innovative methodological approach open avenues for the development of clinical reasoning in learners.

Developing clinical reasoning in the classroom - analysis of the 4C/ID-model

OBJECTIVES

The purpose of this study is to provide a theoretical rationale for the implementation of the four-component instructional design model for complex learning (4C/ID-model) at the University of Pretoria with the aim of systematically developing the clinical reasoning of undergraduate dental students in a classroom setting.

METHODS

Recent literature provides a rationale for the use of the 4C/ID-model to teach clinical reasoning in terms of four strategic teaching and learning needs: (i) the need for authenticity in the learning process; (ii) the need to manage cognitive load during the learning process; (iii) the need for repeated practice; (iv) a need for valid assessment, feedback and reflection.

RESULTS AND DISCUSSION

The literature review indicated that the 4C/ID-model makes provision for teaching and learning in an authentic context and proposes systematically structured methods that could be practically applied to manage cognitive load during repetitive exercises. The model also makes provision for cognitive feedback following assessment in order to eliminate misconceptions about content and to develop the cognitive strategies of the learner.

CONCLUSIONS

On the basis of the literature review above, it is recommended that the 4C/ID-model be considered as a basis for classroom teaching and learning to develop competence in clinical reasoning in undergraduate dental students, even at pre-clinical level. The model may also have an application in medical education.

Evidence in clinical reasoning: a computational linguistics analysis of 789,712 medical case summaries 1983-2012

Background

Better understanding of clinical reasoning could reduce diagnostic error linked to 8% of adverse medical events and 30% of malpractice cases. To a greater extent than the evidence-based movement, the clinical reasoning literature asserts the importance of practitioner intuition—unconscious elements of diagnostic reasoning. The study aimed to analyse the content of case report summaries in ways that explored the importance of an evidence concept, not only in relation to research literature but also intuition.

Methods

The study sample comprised all 789,712 abstracts in English for case reports contained in the database PUBMED for the period 1 January 1983 to 31 December 2012. It was hypothesised that, if evidence and intuition concepts were viewed by these clinical authors as essential to understanding their case reports, they would be more likely to be found in the abstracts. Computational linguistics software was used in 1) concept mapping of 21,631,481 instances of 201 concepts, and 2) specific concept analyses examining 200 paired co-occurrences for ‘evidence’ and research ‘literature’ concepts.

Results

‘Evidence’ is a fundamentally patient-centred, intuitive concept linked to less common concepts about underlying processes, suspected disease mechanisms and diagnostic hunches. In contrast, the use of research literature in clinical reasoning is linked to more common reasoning concepts about specific knowledge and descriptions or presenting features of cases. ‘Literature’ is by far the most dominant concept, increasing in relevance since 2003, with an overall relevance of 13% versus 5% for ‘evidence’ which has remained static.

Conclusions

The fact that the least present types of reasoning concepts relate to diagnostic hunches to do with underlying processes, such as what is suspected, raises questions about whether intuitive practitioner evidence-making, found in a constellation of dynamic, process concepts, has become less important. The study adds support to the existing corpus of research on clinical reasoning, by suggesting that intuition involves a complex constellation of concepts important to how the construct of evidence is understood. The list of concepts the study generated offers a basis for reflection on the nature of evidence in diagnostic reasoning and the importance of intuition to that reasoning.

Deciding 'what to teach' health professionals: a human-centred systems engineering perspective

CONTEXT

Recent calls propose the conceptualisation of medical education research as 'an improvement science for complex social interventions'. This involves developing principled, yet contextually grounded, descriptions of health care practice that increase the likelihood of successful intervention. Defining what health professionals should be taught using theoretical perspectives and analytical techniques borrowed from human-centred systems engineering (HCSE) may acknowledge this call by allowing learning objectives and performance assessment criteria to be aligned with the demands of actual work.

DISCUSSION

Human-centred systems engineering is a multidisciplinary endeavour that seeks to promote the safe, efficient and productive performance of socio-technological systems. Systems theories in HCSE explain how environmental conditions constrain and afford human goal-directed behaviour and are modified by such. Many of the techniques used in HCSE research that are applicable to examining health care practice should be familiar to medical education researchers. This method differs from other empirical approaches that have been applied to the study of health care practice in its emphasis on practical problem solving via intervention design.

CONCLUSIONS

Learning objectives and performance assessment criteria derived from an HCSE perspective target people's attunement to environmental conditions as they strive to enact goal-directed behaviour. Implementing educational interventions from an HCSE perspective should facilitate a sustained positive impact across contexts because theories of person-environment interaction enable principled adaptations of interventions to local circumstances.

Learning clinical reasoning

Errors in clinical reasoning continue to account for significant morbidity and mortality, despite evidence-based guidelines and improved technology. Experts in clinical reasoning often use unconscious cognitive processes that they are not aware of unless they explain how they are thinking. Understanding the intuitive and analytical thinking processes provides a guide for instruction. How knowledge is stored is critical to expertise in clinical reasoning. Curricula should be designed so that trainees store knowledge in a way that is clinically relevant. Competence in clinical reasoning is acquired by supervised practice with effective feedback. Clinicians must recognise the common errors in clinical reasoning and how to avoid them. Trainees can learn clinical reasoning effectively in everyday practice if teachers provide guidance on the cognitive processes involved in making diagnostic decisions.

Twelve tips on engaging learners in checking health care decisions

BACKGROUND

Checking diagnostic and management decisions can help reduce medical error, however, little literature explores how this is best taught.

AIMS

To provide practical advice to direct teaching practices.

METHODS

The authors conducted a literature review using Medline and PsychInfo using search terms: check or checklist and medical error or diagnostic error, supplemented by a manual search through cited literature.

CONCLUSION

Twelve tips for teaching how to check diagnostic and management decisions are presented.

Cognitive problem solving patterns of medical students correlate with success in diagnostic case solutions

Context

Problem-solving in terms of clinical reasoning is regarded as a key competence of medical doctors. Little is known about the general cognitive actions underlying the strategies of problem-solving among medical students. In this study, a theory-based model was used and adapted in order to investigate the cognitive actions in which medical students are engaged when dealing with a case and how patterns of these actions are related to the correct solution.

Methods

Twenty-three medical students worked on three cases on clinical nephrology using the think-aloud method. The transcribed recordings were coded using a theory-based model consisting of eight different cognitive actions. The coded data was analysed using time sequences in a graphical representation software. Furthermore the relationship between the coded data and accuracy of diagnosis was investigated with inferential statistical methods.

Results

The observation of all main actions in a case elaboration, including evaluation, representation and integration, was considered a complete model and was found in the majority of cases (56%). This pattern significantly related to the accuracy of the case solution (φ = 0.55; p<.001). Extent of prior knowledge was neither related to the complete model nor to the correct solution.

Conclusions

The proposed model is suitable to empirically verify the cognitive actions of problem-solving of medical students. The cognitive actions evaluation, representation and integration are crucial for the complete model and therefore for the accuracy of the solution. The educational implication which may be drawn from this study is to foster students reasoning by focusing on higher level reasoning.

Biomedical knowledge, clinical cognition and diagnostic justification: a structural equation model

CONTEXT

The process whereby medical students employ integrated analytic and non-analytic diagnostic strategies is not fully understood. Analysing academic performance data could provide a perspective complementary to that of laboratory experiments when investigating the nature of diagnostic strategy. This study examined the performance data of medical students in an integrated curriculum to determine the relative contributions of biomedical knowledge and clinical pattern recognition to diagnostic strategy.

METHODS

Structural equation modelling was used to examine the relationship between biomedical knowledge and clinical cognition (clinical information gathering and interpretation) assessed in Years 1 and 2 of medical school and their relative contributions to diagnostic justification assessed at the beginning of Year 4. Modelling was applied to the academic performance data of 133 medical students who received their md degrees in 2011 and 2012.

RESULTS

The model satisfactorily fit the data. The correlation between biomedical knowledge and clinical cognition was low-moderate (0.26). The paths between these two constructs and diagnostic justification were moderate and slightly favoured biomedical knowledge (0.47 and 0.40 for biomedical knowledge and clinical cognition, respectively).

CONCLUSIONS

The findings suggest that within the first 2 years of medical school, students possessed separate, but complementary, cognitive tools, comprising biomedical knowledge and clinical pattern recognition, which contributed to an integrated diagnostic strategy at the beginning of Year 4. Assessing diagnostic justification, which requires students to make their thinking explicit, may promote the integration of analytic and non-analytic processing into diagnostic strategy.