Pilbery, R., Teare, D., Goodacre, S. et al. (1 more author) (2015) The recognition of stemi by paramedics and the effect of computer interpretation (respect): a cluster-randomised crossover pilot study. Emergency Medicine Journal, 32 (5). 421. ISSN 1472-0205
Abstract
BACKGROUND: Timely diagnosis and appropriate management of patients with ST-segment elevation myocardial infarction (STEMI) depends on accurate interpretation of the 12-lead ECG by paramedics. Computer interpretation messages on ECGs are often provided, but the effect they exert on paramedics' decision making is not known. The objective of this pilot study was to assess the feasibility of a trial using an online assessment tool, to determine the effect of computer interpretation messages on paramedics' diagnosis of STEMI.
METHODS: The RESPECT pilot study is a cluster-randomised crossover trial using a bespoke, web-based assessment tool. Participants were randomly allocated 12 of 48 ECGs, with an equal mix of correct and incorrect computer interpretation messages, and STEMI and STEMI-mimics. These were viewed in two phases, with message visibility reversed between phases.
RESULTS: 254 paramedics consented into the study, 205 completing the first phase and 150 completing phase two. The data were analysed in two subsets: computer message correct and computer message incorrect. In the subset of correct computer interpretations, accuracy was 84% (message hidden) and 87% (message visible). The subset of incorrect computer interpretations resulted in an accuracy of 77% (message hidden) and 71% (message visible). For the subset of correct computer interpretation, the unadjusted OR was 1.31 (95% CI 1.01-1.71), adjusted OR, 1.80 (95% CI 0.84-4.80), the ICC for participants was 0.36 and for ECGs, 0.18 Incorrect computer interpretations had an unadjusted OR of 0.76 (95% CI 0.61-0.93), adjusted OR, 0.58 (95% CI 0.41-0.80), the ICC for participants was 0.06 and for ECGs, 0.01.
CONCLUSION: A randomised crossover trial to determine the effect of computer interpretation messages is feasible. Pilot data have provided an indication about expected rates of discordance and suggest that incorrect computer messages have a stronger influence across participants and ECGs.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © BMJ Publishing Group. This is an author produced version of a paper subsequently published in Emergency Medicine Journal. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | data management |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > ScHARR - Sheffield Centre for Health and Related Research The University of Sheffield > Sheffield Teaching Hospitals |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 15 Feb 2016 12:32 |
Last Modified: | 21 Mar 2018 04:41 |
Published Version: | http://dx.doi.org/10.1136/emermed-2015-204877.1 |
Status: | Published |
Publisher: | BMJ Publishing Group |
Identification Number: | 10.1136/emermed-2015-204877.1 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:94658 |