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Developing clinical reasoning along the cognitive continuum: a mixed methods evaluation of a novel Clinical Diagnosis
Lucinda E Ainge1, Amanda K Edgar2, Jacqueline M Kirkman2
1Deakin Optometry, School of Medicine, Deakin University, 75 Pigdons Road, Waurn Ponds , VIC, 3216, Australia. Lucy.ainge@deakin.edu.au.
Background:
Clinical reasoning is a professional capability required for clinical practice. In preclinical training, clinical reasoning is often taught implicitly, and feedback is focused on discrete outcomes of decision-making. This makes it challenging to provide meaningful feedback on the often-hidden metacognitive process of reasoning to address specific clinical reasoning difficulties. Therefore, we designed the Clinical Diagnosis Assessment, an assessment for learning, to explicitly train Type 1 and Type 2 reasoning skills in optometry students. Decision justification was included to prompt reflective practice and expose metacognitive reasoning. By manipulating assessment task features, we aimed to broaden students' experience with clinical reasoning strategies and identify specific clinical reasoning challenges.
Methods:
The Clinical Diagnosis Assessment was designed with two parts; to explicitly train Type 1 and Type 2 clinical reasoning strategies respectively. A validated clinical reasoning measure, the Diagnostic Thinking Inventory for Optometry was used to measure change in clinical reasoning skill. Clinical Diagnosis Assessment and Diagnostic Thinking Inventory scores were quantitatively compared against written exams and OSCEs. Focus groups explored student perception and approach to the assessment.
Results:
Out of a total of 67 second-year Optometry students, 55 students (82%) completed the Diagnostic Thinking Inventory for Optometry, 50 students (75%) consented to use of assessment scores and 17 students (26%) participated in focus groups. Quantitative analysis indicated modest but significant Pearson coefficients of determination between Clinical Diagnosis Assessment and OSCE performance (p < .05, r2 = 0.106), and examination outcomes (p < .01, r2 = 0.184). Diagnostic Thinking Inventory scores increased after studying for the Clinical Diagnosis Assessment (p < .01). Four themes were identified through qualitative analysis: an authentic task prompting development of key skills required for the workplace; execution of CR strategies; exposing CR difficulties; and motivation to seek holistic feedback to improve future practice.
Conclusions:
The assessment exposed students underlying thinking, allowing identification of a range of clinical reasoning difficulties such as semantic transformation, prioritization, management planning, cognitive bias and managing diagnostic uncertainty. Better understanding of clinical reasoning difficulties will allow targeted remediation and inform curriculum design. The Clinical Diagnosis Assessment improves clinical reasoning skill, while promoting execution and awareness of discreet clinical reasoning strategies.
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