Title |
A consensus-based template for uniform reporting of data from pre-hospital advanced airway management
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Published in |
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, November 2009
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DOI | 10.1186/1757-7241-17-58 |
Pubmed ID | |
Authors |
Stephen JM Sollid, David Lockey, Hans Morten Lossius, Pre-hospital advanced airway management expert group |
Abstract |
Advanced airway management is a critical intervention that can harm the patient if performed poorly. The available literature on this subject is rich, but it is difficult to interpret due to a huge variability and poor definitions. Several initiatives from large organisations concerned with airway management have recently propagated the need for guidelines and standards in pre-hospital airway management. Following the path of other initiatives to establish templates for uniform data reporting, like the many Utstein-style templates, we initiated and carried out a structured consensus process with international experts to establish a set of core data points to be documented and reported in cases of advanced pre-hospital airway management. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 3% |
Norway | 1 | 1% |
Austria | 1 | 1% |
South Africa | 1 | 1% |
Iran, Islamic Republic of | 1 | 1% |
Mexico | 1 | 1% |
United States | 1 | 1% |
Unknown | 62 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 13 | 19% |
Student > Master | 11 | 16% |
Researcher | 10 | 14% |
Student > Ph. D. Student | 6 | 9% |
Student > Bachelor | 5 | 7% |
Other | 17 | 24% |
Unknown | 8 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 49 | 70% |
Agricultural and Biological Sciences | 2 | 3% |
Business, Management and Accounting | 1 | 1% |
Immunology and Microbiology | 1 | 1% |
Nursing and Health Professions | 1 | 1% |
Other | 8 | 11% |
Unknown | 8 | 11% |