Prehospital early warning scores for adults with suspected sepsis: the PHEWS observational cohort and decision-analytic modelling study.

Goodacre S, Sutton L, Ennis K, Thomas B, Hawksworth O, Iftikhar K, Croft SJ, Fuller G, Waterhouse S, Hind D, Stevenson M, Bradburn MJ, Smyth M, Perkins GD, Millins M, Rosser A, Dickson J, Wilson M

Open source

DOI
10.3310/ndty2403
Published
2024 Mar
Container
Health technology assessment (Winchester, England)
Publisher
Not recorded
Open access
yes

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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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BibTeX

@article{allodium:10.3310/ndty2403,
  title = {Prehospital early warning scores for adults with suspected sepsis: the PHEWS observational cohort and decision-analytic modelling study.},
  author = {Goodacre S and Sutton L and Ennis K and Thomas B and Hawksworth O and Iftikhar K and Croft SJ and Fuller G and Waterhouse S and Hind D and Stevenson M and Bradburn MJ and Smyth M and Perkins GD and Millins M and Rosser A and Dickson J and Wilson M},
  year = {2024},
  journal = {Health technology assessment (Winchester, England)},
  doi = {10.3310/ndty2403},
  url = {https://doi.org/10.3310/ndty2403}
}

RIS

TY  - JOUR
TI  - Prehospital early warning scores for adults with suspected sepsis: the PHEWS observational cohort and decision-analytic modelling study.
AU  - Goodacre S
AU  - Sutton L
AU  - Ennis K
AU  - Thomas B
AU  - Hawksworth O
AU  - Iftikhar K
AU  - Croft SJ
AU  - Fuller G
AU  - Waterhouse S
AU  - Hind D
AU  - Stevenson M
AU  - Bradburn MJ
AU  - Smyth M
AU  - Perkins GD
AU  - Millins M
AU  - Rosser A
AU  - Dickson J
AU  - Wilson M
PY  - 2024
JO  - Health technology assessment (Winchester, England)
DO  - 10.3310/ndty2403
UR  - https://doi.org/10.3310/ndty2403
ER  - 

APA

S, G., L, S., K, E., B, T., O, H., K, I., SJ, C., G, F., S, W., D, H., M, S., MJ, B., M, S., GD, P., M, M., A, R., J, D., & M, W. (2024). Prehospital early warning scores for adults with suspected sepsis: the PHEWS observational cohort and decision-analytic modelling study.. Health technology assessment (Winchester, England). https://doi.org/10.3310/ndty2403

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