Skip to main content
Top
Published in: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine 1/2018

Open Access 01-12-2018 | Original research

The final assessment and its association with field assessment in patients who were transported by the emergency medical service

Authors: Carl Magnusson, Christer Axelsson, Lena Nilsson, Anneli Strömsöe, Monica Munters, Johan Herlitz, Magnus Andersson Hagiwara

Published in: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine | Issue 1/2018

Login to get access

Abstract

Background

In patients who call for the emergency medical service (EMS), there is a knowledge gap with regard to the final assessment after arriving at hospital and its association with field assessment.

Aim

In a representative population of patients who call for the EMS, to describe a) the final assessment at hospital discharge and b) the association between the assessment in the field and the assessment at hospital discharge.

Methods

Thirty randomly selected patients reached by a dispatched ambulance each month between 1 Jan and 31 Dec 2016 in one urban, one rural and one mixed ambulance organisation in Sweden took part in the study. The exclusion criteria were age < 18 years, dead on arrival, transport between health-care facilities and secondary missions. Each patient received a unique code based on the ICD code at hospital discharge and field assessment.

Results

In all, 1080 patients took part in the study, of which 1076 (99.6%) had a field assessment code. A total of 894 patients (83%) were brought to a hospital and an ICD code (ICD-10-SE) was available in 814 patients (91% of these cases and 76% of all cases included in the study). According to these ICD codes, the most frequent conditions were infection (15%), trauma (15%) and vascular disease (9%). The most frequent body localisation of the condition was the thorax (24%), head (16%) and abdomen (13%). In 118 patients (14% of all ICD codes), the condition according to the ICD code was judged as time critical. Among these cases, field assessment was assessed as potentially appropriate in 75% and potentially inappropriate in 12%.

Conclusion

Among patients reached by ambulance in Sweden, 83% were transported to hospital and, among them, 14% had a time-critical condition. In these cases, the majority were assessed in the field as potentially appropriate, but 12% had a potentially inappropriate field assessment. The consequences of these findings need to be further explored.
Appendix
Available only for authorised users
Literature
2.
go back to reference Bigham BL, Bull E, Morrison M, Burgess R, Maher J, Brooks SC. Patient safety in emergency medical services: executive summary and recommendations from the Niagara Summit. CJEM. 2011;13:13–8.CrossRef Bigham BL, Bull E, Morrison M, Burgess R, Maher J, Brooks SC. Patient safety in emergency medical services: executive summary and recommendations from the Niagara Summit. CJEM. 2011;13:13–8.CrossRef
3.
go back to reference Bigham BL, Buick JE, Brooks SC, Morrison M, Shojania KG, Morrison LJ. Patient safety in emergency medical services: a systematic review of the literature. Prehosp Emerg Care. 2012;16:20–35.CrossRef Bigham BL, Buick JE, Brooks SC, Morrison M, Shojania KG, Morrison LJ. Patient safety in emergency medical services: a systematic review of the literature. Prehosp Emerg Care. 2012;16:20–35.CrossRef
4.
go back to reference Brice JH, Studnek JR, Bigham BL, Martin-Gill C, Custalow CB, Hawkins E. EMS provider and patient safety during response and transport: proceedings of an ambulance safety conference. Prehosp Emerg Care. 2012;16:3–19.CrossRef Brice JH, Studnek JR, Bigham BL, Martin-Gill C, Custalow CB, Hawkins E. EMS provider and patient safety during response and transport: proceedings of an ambulance safety conference. Prehosp Emerg Care. 2012;16:3–19.CrossRef
5.
go back to reference Andersson Hagiwara M, Suserud B-O, Andersson-Gare B, Sjoqvist B, Henricson M, Jonsson A. The effect of a computerised decision support system (CDSS) on compliance with the prehospital assessment process: results of an interrupted time-series study. BMC Med Inform Decis Mak. 2014;14:70–5.CrossRef Andersson Hagiwara M, Suserud B-O, Andersson-Gare B, Sjoqvist B, Henricson M, Jonsson A. The effect of a computerised decision support system (CDSS) on compliance with the prehospital assessment process: results of an interrupted time-series study. BMC Med Inform Decis Mak. 2014;14:70–5.CrossRef
6.
go back to reference Croskerry P, Singhal G, Mamede S. Cognitive debiasing 1: origins of bias and theory of debiasing. BMJ Qual Saf. 2013;22(Suppl2):58–64.CrossRef Croskerry P, Singhal G, Mamede S. Cognitive debiasing 1: origins of bias and theory of debiasing. BMJ Qual Saf. 2013;22(Suppl2):58–64.CrossRef
7.
go back to reference Heuer FJ, Gruschka AD, Crozier AT, Bleckmann AA, Plock AE, Moerer AO, et al. Accuracy of prehospital diagnoses by emergency physicians: comparison with discharge diagnosis. Eur J Emerg Med. 2012;19:292–6.CrossRef Heuer FJ, Gruschka AD, Crozier AT, Bleckmann AA, Plock AE, Moerer AO, et al. Accuracy of prehospital diagnoses by emergency physicians: comparison with discharge diagnosis. Eur J Emerg Med. 2012;19:292–6.CrossRef
8.
go back to reference Wireklint Sundström B, Herlitz J, Hansson PO, Brink P. Comparison of the university hospital and county hospitals in western Sweden to identify potential weak links in the early chain of care for acute stroke: results of an observational study. BMJ Open. 2015;5:e008228.CrossRef Wireklint Sundström B, Herlitz J, Hansson PO, Brink P. Comparison of the university hospital and county hospitals in western Sweden to identify potential weak links in the early chain of care for acute stroke: results of an observational study. BMJ Open. 2015;5:e008228.CrossRef
9.
go back to reference Axelsson C, Herlitz J, Karlsson A, Sjöberg H, Jiménez-Herrera M, Bång A, et al. The early chain of Care in Patients with Bacteraemia with the emphasis on the prehospital setting. Prehosp Disaster Med. 2016;31:272–7.CrossRef Axelsson C, Herlitz J, Karlsson A, Sjöberg H, Jiménez-Herrera M, Bång A, et al. The early chain of Care in Patients with Bacteraemia with the emphasis on the prehospital setting. Prehosp Disaster Med. 2016;31:272–7.CrossRef
10.
go back to reference Green RS, Travers AH, Cain E, Campbell SG, Jensen JL, Petrie DA, et al. Paramedic recognition of Sepsis in the prehospital setting: a prospective observational study. Emergency Medicine International. 2016;2016:5.CrossRef Green RS, Travers AH, Cain E, Campbell SG, Jensen JL, Petrie DA, et al. Paramedic recognition of Sepsis in the prehospital setting: a prospective observational study. Emergency Medicine International. 2016;2016:5.CrossRef
11.
go back to reference Tärnqvist J, Dahlén E, Norberg G, Magnusson C, Herlitz J, Strömsöe A, et al. On-scene and final assessments and their interrelationship among patients who use the EMS on multiple occasions. Prehosp Disaster Med. 2017;32:1–8.CrossRef Tärnqvist J, Dahlén E, Norberg G, Magnusson C, Herlitz J, Strömsöe A, et al. On-scene and final assessments and their interrelationship among patients who use the EMS on multiple occasions. Prehosp Disaster Med. 2017;32:1–8.CrossRef
12.
go back to reference Lammers R, Byrwa M, Fales W. Root causes of errors in a simulated prehospital pediatric emergency. Acad Emerg Med. 2012;19:37–47.CrossRef Lammers R, Byrwa M, Fales W. Root causes of errors in a simulated prehospital pediatric emergency. Acad Emerg Med. 2012;19:37–47.CrossRef
13.
go back to reference Suserud B-O. A new profession in the pre-hospital care field—the ambulance nurse. Nurs Crit Care. 2005;10:269–71.CrossRef Suserud B-O. A new profession in the pre-hospital care field—the ambulance nurse. Nurs Crit Care. 2005;10:269–71.CrossRef
14.
go back to reference Widgren BR, Jourak M. Medical emergency triage and treatment system (METTS): a new protocol in primary triage and secondary priority decision in emergency medicine. J Emerg Med. 2011;40:623–8.CrossRef Widgren BR, Jourak M. Medical emergency triage and treatment system (METTS): a new protocol in primary triage and secondary priority decision in emergency medicine. J Emerg Med. 2011;40:623–8.CrossRef
15.
go back to reference Hagiwara MA, Nilsson L, Strömsöe A, Axelsson C, Kängström A, Herlitz J. Patient safety and patient assessment in pre-hospital care: a study protocol. Scand J Trauma Resusc Emerg Med. 2016;24:1–7.CrossRef Hagiwara MA, Nilsson L, Strömsöe A, Axelsson C, Kängström A, Herlitz J. Patient safety and patient assessment in pre-hospital care: a study protocol. Scand J Trauma Resusc Emerg Med. 2016;24:1–7.CrossRef
16.
go back to reference Statistics from EMS organisations in Västra Götaland region in Sweden. 2016. Statistics from EMS organisations in Västra Götaland region in Sweden. 2016.
17.
go back to reference Rawshani A, Larsson A, Gelang C, Lindqvist J, Gellerstedt M, Bång A, et al. Characteristics and outcome among patients who dial for the EMS due to chest pain. Int J Cardiol. 2014;176:859–65.CrossRef Rawshani A, Larsson A, Gelang C, Lindqvist J, Gellerstedt M, Bång A, et al. Characteristics and outcome among patients who dial for the EMS due to chest pain. Int J Cardiol. 2014;176:859–65.CrossRef
18.
go back to reference Gleason T, Davidson M, Tanner K, Baptiste D, Rushton C, Day J, et al. Defining the critical role of nurses in diagnostic error prevention: a conceptual framework and a call to action. Diagnosis. 2017;4:201–24.CrossRef Gleason T, Davidson M, Tanner K, Baptiste D, Rushton C, Day J, et al. Defining the critical role of nurses in diagnostic error prevention: a conceptual framework and a call to action. Diagnosis. 2017;4:201–24.CrossRef
19.
go back to reference Carter H, Thompson J. Defining the paramedic process. Aust J Prim Health. 2015;21:22–6.CrossRef Carter H, Thompson J. Defining the paramedic process. Aust J Prim Health. 2015;21:22–6.CrossRef
20.
go back to reference Hagiwara M, Bremer A, Claesson A, Axelsson C, Norberg G, Herlitz J. The impact of direct admission to a catheterisation lab/CCU in patients with ST-elevation myocardial infarction on the delay to reperfusion and early risk of death: results of a systematic review including meta-analysis. Scand J Trauma Resusc Emerg Med. 2014;22:67.CrossRef Hagiwara M, Bremer A, Claesson A, Axelsson C, Norberg G, Herlitz J. The impact of direct admission to a catheterisation lab/CCU in patients with ST-elevation myocardial infarction on the delay to reperfusion and early risk of death: results of a systematic review including meta-analysis. Scand J Trauma Resusc Emerg Med. 2014;22:67.CrossRef
21.
go back to reference De Luca A, Toni D, Lauria L, Sacchetti ML, Giorgi Rossi P, Ferri M, et al. An emergency clinical pathway for stroke patients--results of a cluster randomised trial (isrctn41456865). BMC Health Serv Res. 2009;9:14. De Luca A, Toni D, Lauria L, Sacchetti ML, Giorgi Rossi P, Ferri M, et al. An emergency clinical pathway for stroke patients--results of a cluster randomised trial (isrctn41456865). BMC Health Serv Res. 2009;9:14.
22.
go back to reference Hayden GE, Tuuri RE, Scott R, Losek JD, Blackshaw AM, Schoenling AJ, et al. Triage sepsis alert and sepsis protocol lower times to fluids and antibiotics in the ED. Am J Emerg Med. 2016;34:1–9.CrossRef Hayden GE, Tuuri RE, Scott R, Losek JD, Blackshaw AM, Schoenling AJ, et al. Triage sepsis alert and sepsis protocol lower times to fluids and antibiotics in the ED. Am J Emerg Med. 2016;34:1–9.CrossRef
23.
go back to reference Graber ML. The incidence of diagnostic error in medicine. BMJ Qual Saf. 2013;22(Suppl 2):ii21–7.CrossRef Graber ML. The incidence of diagnostic error in medicine. BMJ Qual Saf. 2013;22(Suppl 2):ii21–7.CrossRef
24.
go back to reference Graber ML, Carlson HA. Diagnostic error: the hidden epidemic. Physician Executive. 2011;37:8–9. Graber ML, Carlson HA. Diagnostic error: the hidden epidemic. Physician Executive. 2011;37:8–9.
25.
go back to reference Calder L, Forster A, Nelson M, Leclair J, Perry J, Vaillancourt C, et al. Adverse events among patients registered in high-acuity areas of the emergency department: a prospective cohort study. CJEM. 2010;12:421–30.CrossRef Calder L, Forster A, Nelson M, Leclair J, Perry J, Vaillancourt C, et al. Adverse events among patients registered in high-acuity areas of the emergency department: a prospective cohort study. CJEM. 2010;12:421–30.CrossRef
26.
go back to reference Kachalia A, Gandhi TK, Puopolo AL, Yoon C, Thomas EJ, Griffey R, et al. Missed and delayed diagnoses in the emergency department: a study of closed malpractice claims from 4 liability insurers. Ann Emerg Med. 2007;49:196–205.CrossRef Kachalia A, Gandhi TK, Puopolo AL, Yoon C, Thomas EJ, Griffey R, et al. Missed and delayed diagnoses in the emergency department: a study of closed malpractice claims from 4 liability insurers. Ann Emerg Med. 2007;49:196–205.CrossRef
27.
go back to reference Croskerry P. The importance of cognitive errors in diagnosis and strategies to minimize them. Acad Med. 2003;78:775–80.CrossRef Croskerry P. The importance of cognitive errors in diagnosis and strategies to minimize them. Acad Med. 2003;78:775–80.CrossRef
28.
go back to reference Saposnik G, Redelmeier D, Ruff CC, Tobler PN. Cognitive biases associated with medical decisions: a systematic review. BMC Med Inform Decis Mak. 2016;16:138.CrossRef Saposnik G, Redelmeier D, Ruff CC, Tobler PN. Cognitive biases associated with medical decisions: a systematic review. BMC Med Inform Decis Mak. 2016;16:138.CrossRef
29.
go back to reference Evans JS. Dual-processing accounts of reasoning, judgment, and social cognition. Annu Rev Psychol. 2008;59:255–78.CrossRef Evans JS. Dual-processing accounts of reasoning, judgment, and social cognition. Annu Rev Psychol. 2008;59:255–78.CrossRef
30.
go back to reference Croskerry P. A universal model of diagnostic reasoning. Acad Med. 2009;84:1022–8.CrossRef Croskerry P. A universal model of diagnostic reasoning. Acad Med. 2009;84:1022–8.CrossRef
31.
go back to reference Alexander M. Reasoning processes used by paramedics to solve clinical problems. Ann Arbor: The George Washington University; 2009. Alexander M. Reasoning processes used by paramedics to solve clinical problems. Ann Arbor: The George Washington University; 2009.
32.
go back to reference Jensen JL. Paramedic clinical decision-making: result of two Canadian studies. J Paramedic Pract. 2011;1:63–71.CrossRef Jensen JL. Paramedic clinical decision-making: result of two Canadian studies. J Paramedic Pract. 2011;1:63–71.CrossRef
33.
go back to reference Jensen JL, Bienkowski A, Travers AH, Calder LA, Walker M, Tavares W, et al. A survey to determine decision-making styles of working paramedics and student paramedics. CJEM. 2016;18:213–22.CrossRef Jensen JL, Bienkowski A, Travers AH, Calder LA, Walker M, Tavares W, et al. A survey to determine decision-making styles of working paramedics and student paramedics. CJEM. 2016;18:213–22.CrossRef
34.
go back to reference Jensen J, Croskerry P, Travers A. EMS: consensus on paramedic clinical decisions during high-acuity emergency calls: results of a Canadian Delphi study. CJEM. 2011;13:310–8.CrossRef Jensen J, Croskerry P, Travers A. EMS: consensus on paramedic clinical decisions during high-acuity emergency calls: results of a Canadian Delphi study. CJEM. 2011;13:310–8.CrossRef
35.
go back to reference Hagiwara M, Suserud B-O, Jonsson A, Henricson M. Exclusion of context knowledge in the development of prehospital guidelines: results produced by realistic evaluation. Scand J Trauma Resusc Emerg Med. 2013;21:46.CrossRef Hagiwara M, Suserud B-O, Jonsson A, Henricson M. Exclusion of context knowledge in the development of prehospital guidelines: results produced by realistic evaluation. Scand J Trauma Resusc Emerg Med. 2013;21:46.CrossRef
36.
go back to reference Graber ML, Kissam S, Payne VL, Meyer AN, Sorensen A, Lenfestey N, et al. Cognitive interventions to reduce diagnostic error: a narrative review. BMJ Qual Saf. 2012;21:535–57.CrossRef Graber ML, Kissam S, Payne VL, Meyer AN, Sorensen A, Lenfestey N, et al. Cognitive interventions to reduce diagnostic error: a narrative review. BMJ Qual Saf. 2012;21:535–57.CrossRef
37.
go back to reference Croskerry P, Singhal G, Mamede S. Cognitive debiasing 2: impediments to and strategies for change. BMJ Qual Saf. 2013;22(Suppl 2):65–72.CrossRef Croskerry P, Singhal G, Mamede S. Cognitive debiasing 2: impediments to and strategies for change. BMJ Qual Saf. 2013;22(Suppl 2):65–72.CrossRef
38.
go back to reference Ely JW, Graber ML, Croskerry P. Checklists to reduce diagnostic errors. Acad Med. 2011;86:307–13.CrossRef Ely JW, Graber ML, Croskerry P. Checklists to reduce diagnostic errors. Acad Med. 2011;86:307–13.CrossRef
39.
go back to reference Andersson Hagiwara M, Kängström A, Jonsson A, Lundberg L. Effect of simulation on the clinical competence of Swedish ambulance nurses. Australasian Journal of Paramedicine. 2014;11:2. Andersson Hagiwara M, Kängström A, Jonsson A, Lundberg L. Effect of simulation on the clinical competence of Swedish ambulance nurses. Australasian Journal of Paramedicine. 2014;11:2.
40.
go back to reference Hagiwara M, Henricson M, Jonsson A, Suserud B-O. Decision-support tool in prehospital care: a systematic review of randomized trials. Prehosp Dis Med. 2011;26:319–29.CrossRef Hagiwara M, Henricson M, Jonsson A, Suserud B-O. Decision-support tool in prehospital care: a systematic review of randomized trials. Prehosp Dis Med. 2011;26:319–29.CrossRef
41.
go back to reference Hagiwara MA, Sjöqvist BA, Lundberg L, Suserud BO, Henricson M, Jonsson A. Decision support system in prehospital care: a randomized controlled simulation study. Am J Emerg Med. 2013;31:145–53.CrossRef Hagiwara MA, Sjöqvist BA, Lundberg L, Suserud BO, Henricson M, Jonsson A. Decision support system in prehospital care: a randomized controlled simulation study. Am J Emerg Med. 2013;31:145–53.CrossRef
Metadata
Title
The final assessment and its association with field assessment in patients who were transported by the emergency medical service
Authors
Carl Magnusson
Christer Axelsson
Lena Nilsson
Anneli Strömsöe
Monica Munters
Johan Herlitz
Magnus Andersson Hagiwara
Publication date
01-12-2018
Publisher
BioMed Central
DOI
https://doi.org/10.1186/s13049-018-0579-x

Other articles of this Issue 1/2018

Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine 1/2018 Go to the issue