Decision making in asthma exacerbation: a clinical judgement analysis. Issue 8 (11th April 2007)

• Record Type: Journal Article
• Authors: Jenkins, John; Shields, Mike; Patterson, Chris; Kee, Frank
• Is Part Of: Archives of disease in childhood. Volume 92:Issue 8(2007)
• Page Start: 672
• Page End: 677
• Publication Date: 2007-04-11
• Subjects: A&E, accident and emergency -- CS, corticosteroids -- GPs, general practitioners -- VAS, visual analogue scale; clinical judgement analysis -- decision making -- asthma -- systemic corticosteroids -- hospital admission; Children -- Diseases -- Periodicals; Infants -- Diseases -- Periodicals; 618.920005
• DOI: 10.1136/adc.2007.117424
• Languages: English
• ISSNs: 0003-9888

Abstract

Abstract : Background: Clinical decisions which impact directly on patient safety and quality of care are made during acute asthma attacks by individual doctors based on their knowledge and experience. Decisions include administration of systemic corticosteroids (CS) and oral antibiotics, and admission to hospital. Clinical judgement analysis provides a methodology for comparing decisions between practitioners with different training and experience, and improving decision making. Methods: Stepwise linear regression was used to select clinical cues based on visual analogue scale assessments of the propensity of 62 clinicians to prescribe a short course of oral CS (decision 1), a course of antibiotics (decision 2), and/or admit to hospital (decision 3) for 60 "paper" patients. Results: When compared by specialty, paediatricians' models for decision 1 were more likely to include level of alertness as a cue (54% vs 16%); for decision 2 they were more likely to include presence of crepitations (49% vs 16%) and less likely to include inhaled CS (8% vs 40%), respiratory rate (0% vs 24%) and air entry (70% vs 100%). When compared to other grades, the models derived for decision 3 by consultants/general practitioners were more likely to include wheeze severity as a cue (39% vs 6%). Conclusions: Clinicians differed in their use of individual cues and the number included in their models. Patient safety and quality of care will benefit from clarification of decision-making strategies as general learning points during medical training, in the development of guidelines and care pathways, and by clinicians developing self-awareness of their own preferences.