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The Recognition of STEMI by Paramedics and the Effect of Computer inTerpretation (RESPECT): a randomised crossover feasibility study
  1. Richard Pilbery1,
  2. M Dawn Teare2,
  3. Steve Goodacre3,
  4. Francis Morris4
  1. 1Research Paramedic, Yorkshire Ambulance Service NHS Trust, Wakefield, UK
  2. 2Department of Design, Trials & Statistics, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
  3. 3Health Services Research, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
  4. 4Emergency Department, Northern General Hospital, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
  1. Correspondence to Richard Pilbery, Research Paramedic, Yorkshire Ambulance Service NHS Trust, Springhill, Brindley Way, Wakefield 41 Business Park, Wakefield WF2 0XQ, UK; r.pilbery{at}nhs.net

Abstract

Background The 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 study was to assess the feasibility of using an online assessment tool, and collect pilot data, for a definitive trial to determine the effect of computer interpretation messages on paramedics' diagnosis of STEMI.

Methods The Recognition of STEMI by Paramedics and the Effect of Computer inTerpretation (RESPECT) feasibility study was a 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. The nature of the responses required a cross-classified multi-level model.

Results 254 paramedics consented into the study, 205 completing the first phase and 150 completing phase two. The adjusted OR for a correct paramedic interpretation, when the computer interpretation was correct (true positive for STEMI or true negative for STEMI-mimic), was 1.80 (95% CI 0.84 to 4.91) and 0.58 (95% CI 0.41 to 0.81) when the computer interpretation was incorrect (false positive for STEMI or false negative for STEMI-mimic). The intraclass correlation coefficient for correct computer interpretations was 0.33 for participants and 0.17 for ECGs, and for incorrect computer interpretations, 0.06 for participants and 0.01 for ECGs.

Conclusions Determining the effect of computer interpretation messages using a web-based assessment tool is feasible, but the design needs to take clustered data into account. Pilot data suggest that computer messages influence paramedic interpretation, improving accuracy when correct and worsening accuracy when incorrect.

  • acute coronary syndrome
  • paramedics
  • ECG, interpretation

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