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A Modified Delphi Process to Develop Consensus Definitions of Time-Dependent Care by Paramedic Services Systems

Published online by Cambridge University Press:  19 November 2025

Luc de Montigny*
Affiliation:
Urgences-Santé, Montreal, Quebec, Canada Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada
Ryan Lee
Affiliation:
Emergency Health Services-Alberta, Alberta, Canada
Eddy S. Lang
Affiliation:
Department of Emergency Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada Department of Emergency Medicine, Alberta Health Services, Calgary, Alberta, Canada
Christopher J. Doig
Affiliation:
Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada Department of Critical Care Medicine, Alberta Health Services, Calgary, Alberta, Canada
Ian E. Blanchard
Affiliation:
Emergency Health Services-Alberta, Alberta, Canada Department of Community Health Science, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
*
Correspondence: Luc de Montigny Research Advisor Urgences-Santé 6700 Jarry E. Blvd. Montreal, Quebec, Canada H1P 0A4 E-mail: luc.demontigny@urgences.sante.qc.ca
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Abstract

Background:

Just as prospective differentiation between true emergencies and calls for subacute patients is critical to the delivery of prehospital care, retrospective differentiation is critical to research and quality improvement. Determining the acuity of patients based on the type of care they received could complement the vital-sign-based instruments currently popular, yet imperfect. The study aim was to create a consensus definition of time-dependent care and a list of time-dependent interventions in paramedicine.

Methods:

The study was a Delphi approach consisting of four rounds of voting by a bi-provincial panel of 22 Canadian key informants representing medical first responders, paramedics, and physicians – first to agree on a definition of time-dependent care – then to categorize 29 clinical and 34 pharmacological interventions.

Results:

Based on the consensus definition of “A majority of patients who should receive the intervention, according to provincial protocols, would suffer a direct prejudice to their health or safety if the intervention, provided on its own, was not performed within eight minutes of the initial call,” the panel reached consensus on 52 of 63 interventions (82.5%), of which 17 (32.7%) were voted time-dependent (11 clinical [64.7%] and six pharmacological [35.3%]). Clinical interventions included airway suction or de-obstruction, cricothyrotomy, positive pressure ventilation, chest decompression, cardiopulmonary resuscitation, defibrillation, cardioversion, pacing, and hemorrhage control. Pharmacological interventions included medication classed as sympathomimetics, caloric agents, antiarrhythmic agents, anticonvulsants, or tranquilizers.

Conclusion:

The panel reached a consensus on a definition of time-dependent care and used this to identify prehospital interventions that could serve as an instrument to improve care and system performance.

Information

Type
Original Research
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - SA
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike licence (https://creativecommons.org/licenses/by-nc-sa/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the same Creative Commons licence is used to distribute the re-used or adapted article and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of World Association for Disaster and Emergency Medicine
Figure 0

Table 1. Composition of the Expert Panel (n = 22)

Figure 1

Table 2a. Clinical Interventions Evaluated by Key Informants in Delphi 1 (n = 29)

Figure 2

Table 2b. Pharmacological Interventions Evaluated by Key Informants in Delphi 1 (n = 34)

Figure 3

Figure 1. Results of the Three-Round Delphi Process.

Figure 4

Table 3. Intervention Reaching Final Consensus (n = 17)

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