How do healthcare practitioners read electrocardiograms? A dual-process model of electrocardiogram interpretation

Author:

Davies Alan1,Mueller Julia2,Horseman Laura3,Splendiani Bruno4,Hill Elspeth5,Vigo Markel6,Harper Simon6,Jay Caroline6

Affiliation:

1. Lecturer in Health Data Sciences, School of Health Sciences, University of Manchester, Manchester, UK; Academic Health Science Centre, Manchester, UK

2. Lecturer in Healthcare Sciences, School of Health Sciences, University of Manchester, Manchester, UK; Academic Health Science Centre, Manchester, UK

3. Research Assistant, Department of Medicine, University of Sheffield, Sheffield, UK

4. Digital consultant, Department of Library and Information Science, University of Barcelona, Barcelona, Spain

5. Plastic Surgeon, Department of Surgery, Washington University, St. Louis, MO, USA

6. School of Computer Science, University of Manchester, Manchester, UK

Abstract

Background/Aims: This article aims to improve the understanding of the applied cognitive processes when interpreting electrocardiograms in clinical practice. It will do this by examining the self-reported approach practitioners take to interpret any barriers they encounter. Methods: This was a qualitative study in which medical practitioners, who routinely interpret electrocardiograms (n=31), were interviewed. The semi-structured interviews covered: their experience of interpretation; use of a system; pitfalls; changes to approach over time. An inductive thematic analysis was used to identify commonly occurring themes. A further set of practitioners (n=31), completed surveys that concerned their approach to an interpretation and use of interpretation frameworks/systems. Results: Practitioners find it easier to interpret electrocardiograms as they gain experience, but the process remains difficult. Barriers to successful interpretation include artefacts altering the waveform, lack of familiarity with the presenting condition, stress/panic at the prospect of making an inaccurate judgement, and overconfidence in one's interpretation abilities. Conclusions: The results support a dual-process system model that is developed with experience and enhances performance. Over time, experienced practitioners become able to move fluidly between a more formal systematic method and an experience-driven pattern recognition system. Potential errors that may arise from a reliance on pattern recognition (e.g. missing details) can be mitigated by using a systematic approach.

Publisher

Mark Allen Group

Subject

General Medicine

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