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Prevalence and predictors of hospital prealerting in acute stroke: a mixed methods study

BACKGROUND: Thrombolysis can significantly reduce the burden of stroke but the time window for safe and effective treatment is short. In patients travelling to hospital via ambulance, the sending of a ‘prealert’ message can significantly improve the timeliness of treatment. OBJECTIVE: Examine the pr...

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Autores principales: Sheppard, J P, Lindenmeyer, A, Mellor, R M, Greenfield, S, Mant, J, Quinn, T, Rosser, A, Sandler, D, Sims, D, Ward, M, McManus, R J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4941194/
https://www.ncbi.nlm.nih.gov/pubmed/26949969
http://dx.doi.org/10.1136/emermed-2014-204392
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author Sheppard, J P
Lindenmeyer, A
Mellor, R M
Greenfield, S
Mant, J
Quinn, T
Rosser, A
Sandler, D
Sims, D
Ward, M
McManus, R J
author_facet Sheppard, J P
Lindenmeyer, A
Mellor, R M
Greenfield, S
Mant, J
Quinn, T
Rosser, A
Sandler, D
Sims, D
Ward, M
McManus, R J
author_sort Sheppard, J P
collection PubMed
description BACKGROUND: Thrombolysis can significantly reduce the burden of stroke but the time window for safe and effective treatment is short. In patients travelling to hospital via ambulance, the sending of a ‘prealert’ message can significantly improve the timeliness of treatment. OBJECTIVE: Examine the prevalence of hospital prealerting, the extent to which prealert protocols are followed and what factors influence emergency medical services (EMS) staff's decision to send a prealert. METHODS: Cohort study of patients admitted to two acute stroke units in West Midlands (UK) hospitals using linked data from hospital and EMS records. A logistic regression model examined the association between prealert eligibility and whether a prealert message was sent. In semistructured interviews, EMS staff were asked about their experiences of patients with suspected stroke. RESULTS: Of the 539 patients eligible for this study, 271 (51%) were recruited. Of these, only 79 (29%) were eligible for prealerting according to criteria set out in local protocols but 143 (53%) were prealerted. Increasing number of Face, Arm, Speech Test symptoms (1 symptom, OR 6.14, 95% CI 2.06 to 18.30, p=0.001; 2 symptoms, OR 31.36, 95% CI 9.91 to 99.24, p<0.001; 3 symptoms, OR 75.84, 95% CI 24.68 to 233.03, p<0.001) and EMS contact within 5 h of symptom onset (OR 2.99, 95% CI 1.37 to 6.50 p=0.006) were key predictors of prealerting but eligibility for prealert as a whole was not (OR 1.92, 95% CI 0.85 to 4.34 p=0.12). In qualitative interviews, EMS staff displayed varying understanding of prealert protocols and described frustration when their interpretation of the prealert criteria was not shared by ED staff. CONCLUSIONS: Up to half of the patients presenting with suspected stroke in this study were prealerted by EMS staff, regardless of eligibility, resulting in disagreements with ED staff during handover. Aligning the expectations of EMS and ED staff, perhaps through simplified prealert protocols, could be considered to facilitate more appropriate use of hospital prealerting in acute stroke.
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spelling pubmed-49411942016-07-13 Prevalence and predictors of hospital prealerting in acute stroke: a mixed methods study Sheppard, J P Lindenmeyer, A Mellor, R M Greenfield, S Mant, J Quinn, T Rosser, A Sandler, D Sims, D Ward, M McManus, R J Emerg Med J Prehospital Care BACKGROUND: Thrombolysis can significantly reduce the burden of stroke but the time window for safe and effective treatment is short. In patients travelling to hospital via ambulance, the sending of a ‘prealert’ message can significantly improve the timeliness of treatment. OBJECTIVE: Examine the prevalence of hospital prealerting, the extent to which prealert protocols are followed and what factors influence emergency medical services (EMS) staff's decision to send a prealert. METHODS: Cohort study of patients admitted to two acute stroke units in West Midlands (UK) hospitals using linked data from hospital and EMS records. A logistic regression model examined the association between prealert eligibility and whether a prealert message was sent. In semistructured interviews, EMS staff were asked about their experiences of patients with suspected stroke. RESULTS: Of the 539 patients eligible for this study, 271 (51%) were recruited. Of these, only 79 (29%) were eligible for prealerting according to criteria set out in local protocols but 143 (53%) were prealerted. Increasing number of Face, Arm, Speech Test symptoms (1 symptom, OR 6.14, 95% CI 2.06 to 18.30, p=0.001; 2 symptoms, OR 31.36, 95% CI 9.91 to 99.24, p<0.001; 3 symptoms, OR 75.84, 95% CI 24.68 to 233.03, p<0.001) and EMS contact within 5 h of symptom onset (OR 2.99, 95% CI 1.37 to 6.50 p=0.006) were key predictors of prealerting but eligibility for prealert as a whole was not (OR 1.92, 95% CI 0.85 to 4.34 p=0.12). In qualitative interviews, EMS staff displayed varying understanding of prealert protocols and described frustration when their interpretation of the prealert criteria was not shared by ED staff. CONCLUSIONS: Up to half of the patients presenting with suspected stroke in this study were prealerted by EMS staff, regardless of eligibility, resulting in disagreements with ED staff during handover. Aligning the expectations of EMS and ED staff, perhaps through simplified prealert protocols, could be considered to facilitate more appropriate use of hospital prealerting in acute stroke. BMJ Publishing Group 2016-07 2016-02-23 /pmc/articles/PMC4941194/ /pubmed/26949969 http://dx.doi.org/10.1136/emermed-2014-204392 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/
spellingShingle Prehospital Care
Sheppard, J P
Lindenmeyer, A
Mellor, R M
Greenfield, S
Mant, J
Quinn, T
Rosser, A
Sandler, D
Sims, D
Ward, M
McManus, R J
Prevalence and predictors of hospital prealerting in acute stroke: a mixed methods study
title Prevalence and predictors of hospital prealerting in acute stroke: a mixed methods study
title_full Prevalence and predictors of hospital prealerting in acute stroke: a mixed methods study
title_fullStr Prevalence and predictors of hospital prealerting in acute stroke: a mixed methods study
title_full_unstemmed Prevalence and predictors of hospital prealerting in acute stroke: a mixed methods study
title_short Prevalence and predictors of hospital prealerting in acute stroke: a mixed methods study
title_sort prevalence and predictors of hospital prealerting in acute stroke: a mixed methods study
topic Prehospital Care
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4941194/
https://www.ncbi.nlm.nih.gov/pubmed/26949969
http://dx.doi.org/10.1136/emermed-2014-204392
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