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A T2 Translational Science Modified Delphi Study: Spinal Motion Restriction in a Resource-Scarce Environment

Published online by Cambridge University Press:  09 July 2020

Eric S. Weinstein*
Affiliation:
CRIMEDIM, Università del Piemonte Orientale, Novara, Italy
Joseph L. Cuthbertson
Affiliation:
Monash University, Disaster Resilience Initiative, Clayton, Melbourne, Victoria, Australia
Luca Ragazzoni
Affiliation:
CRIMEDIM, Università del Piemonte Orientale, Novara, Italy
Manuela Verde
Affiliation:
CRIMEDIM, Università del Piemonte Orientale, Novara, Italy
*
Correspondence: Eric S. Weinstein, MD, MScDM Università del Piemonte Orientale – CRIMEDIM Research Centre in Emergency and Disaster Medicine, Novara 28100 Italy E-mail: eswein402@gmail.com
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Abstract

Introduction:

Emerging evidence is guiding changes in prehospital management of potential spinal injuries. The majority of settings related to current recommendations are in resource-rich environments (RREs), whereas there is a lack of guidance on the provision of spinal motion restriction (SMR) in resource-scarce environments (RSEs), such as: mass-casualty incidents (MCIs); low-middle income countries; complex humanitarian emergencies; conflict zones; and prolonged transport times. The application of Translational Science (TS) in the Disaster Medicine (DM) context was used to develop this study, leading to statements that can be used in the creation of evidence-based clinical guidelines (CGs).

Objective:

What is appropriate SMR in RSEs?

Methods:

The first round of this modified Delphi (mD) study was a structured focus group conducted at the World Association for Disaster and Emergency Medicine (WADEM) Congress in Brisbane Australia on May 9, 2019. The result of the focus group discussion of open-ended questions produced ten statements that were added to ten statements derived from Fischer (2018) to create the second mD round questionnaire.

Academic researchers and educators, operational first responders, or first receivers of patients with suspected spinal injuries were identified to be mD experts. Experts rated their agreement with each statement on a seven-point linear numeric scale. Consensus amongst experts was defined as a standard deviation ≤1.0. Statements that were in agreement reaching consensus were included in the final report; those that were not in agreement but reached consensus were removed from further consideration. Those not reaching consensus advanced to the third mD round.

For subsequent rounds, experts were shown the mean response and their own response for each of the remaining statements and asked to reconsider their rating. As above, those that did not reach consensus advanced to the next round until consensus was reached for each statement.

Results:

Twenty-two experts agreed to participate with 19 completing the second mD round and 16 completing the third mD round. Eleven statements reached consensus. Nine statements did not reach consensus.

Conclusions:

Experts reached consensus offering 11 statements to be incorporated into the creation of SMR CGs in RSEs. The nine statements that did not reach consensus can be further studied and potentially modified to determine if these can be considered in SMR CGs in RSEs.

Information

Type
Original Research
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© World Association for Disaster and Emergency Medicine 2020
Figure 0

Table 1. Translational Science Phases of SMR in RSE

Figure 1

Table 2. Brisbane Congress Focus Group mD-1 Participant Demographics

Figure 2

Table 3. Expert Demographics

Figure 3

Table 4. Expert Demographics: Per Specialty

Figure 4

Table 5. Statements Attaining Consensus

Figure 5

Table 6. Statements Not Attaining Consensus