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Greene JA, Goldstein J, Stirling J, Swain JM, Brown R, McVey J, Carter A. Clinical Roles in the Medical Communications Centre: A Rapid Scoping Review. Cureus 2023; 15:e39441. [PMID: 37362545 PMCID: PMC10289204 DOI: 10.7759/cureus.39441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 05/22/2023] [Indexed: 06/28/2023] Open
Abstract
In recent years, 911 call volumes have increased, and emergency medical services (EMS) are routinely stretched beyond capacity. To better match resources with patient needs, some EMS systems have integrated clinician roles into the emergency medical communications centre (MCC). Our objective was to explore the nature and scope of clinical roles in emergency MCCs. Using a rapid scoping review methodology, we searched PubMed for studies related to any clinical role employed within an emergency MCC. We accepted reviews, experimental and observational designs, as well as expert opinions. Studies reporting on dispatcher recognition and pre-arrival instructions were excluded. Title and abstract screening were conducted by a single reviewer, included studies were verified by two reviewers, and data extraction was completed in duplicate, all using Covidence review software. The level of evidence was assessed using the prehospital evidence-based practice (PEP) scale. The protocol was registered in Open Science Framework (10.17605/OSF.IO/NX4T8). Our search yielded 1071 titles, and four were added from other sources; 44 studies were reviewed at the full-text stage and 31 were included. The included studies were published from 2002 to 2022 and represent 17 countries. Studies meeting inclusion criteria consisted of level I (n=4, 11%), II (n=13, 37%), and III (N=6, 17%) methodologies, as well as 12 other studies (34%) with qualitative or other designs. Most of the included studies reported systems that employ nurses in the MCC (n=29, 83%). Twelve (34%) studies reported on the inclusion of paramedics in the MCC, and five (14%) reported physician involvement. The roles of these clinicians chiefly consisted of triage (n=25, 71%), advice (n=20, 57%), referral to non-emergency care (n=14, 40%), and peer-to-peer consulting (n=2, 4%). Alternative dispositions (as opposed to emergency ambulance transport) for low acuity callers included self-care, as well as referral to a general practitioner, pharmacist, or other outreach programs. There is a wide range of literature reporting on clinical roles integrated within MCCs. Our findings revealed that MCC nurses, physicians, and paramedics assist substantively with triage, advice, and referrals to better match resources to patient needs, with or without the requirement for ambulance dispatch.
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Affiliation(s)
| | | | | | - Janel M Swain
- Emergency Health Services, Nova Scotia, Dartmouth, CAN
| | - Ryan Brown
- Interprofessional Practice and Learning, Nova Scotia Health, Sydney, CAN
- Emergency Medicine, Dalhousie University, Halifax, CAN
| | | | - Alix Carter
- Emergency Medicine, Dalhousie University, Halifax, CAN
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The prehospital management of ambulance-attended adults who fell: A scoping review. Australas Emerg Care 2023; 26:45-53. [PMID: 35909044 DOI: 10.1016/j.auec.2022.07.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 07/11/2022] [Accepted: 07/18/2022] [Indexed: 11/24/2022]
Abstract
BACKGROUND The ageing population is requiring more ambulance attendances for falls. This scoping review aimed to map and synthesise the evidence for the prehospital management of Emergency Medical Services (EMS) attended adult patients who fall. METHODS The Joanna Briggs Institute methods for scoping reviews were used. Six databases were searched (Medline, Scopus, CINAHL, Cochrane, EMBASE, ProQuest), 1st August 2021. Included sources reported: ambulance attended (context), adults who fell (population), injuries, interventions or disposition data (concept). Data were narratively synthesised. RESULTS One-hundred and fifteen research sources met the inclusion criteria. Detailed information describing prehospital delivered EMS interventions, transport decisions and alternative care pathways was limited. Overall, adults< 65 years were less likely than older adults to be attended repeatedly and/or not transported. Being male, falling from height and sustaining severe injuries were associated with transport to major trauma centres. Older females, falling from standing/low height with minor injuries were less likely to be transported to major trauma centres. CONCLUSION The relationship between patient characteristics, falls and resulting injuries were well described in the literature. Other evidence about EMS management in prehospital settings was limited. Further research regarding prehospital interventions, transport decisions and alternative care pathways in the prehospital setting is recommended.
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Miller M, Bootland D, Jorm L, Gallego B. Improving ambulance dispatch triage to trauma: A scoping review using the framework of development and evaluation of clinical prediction rules. Injury 2022; 53:1746-1755. [PMID: 35321793 DOI: 10.1016/j.injury.2022.03.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 03/07/2022] [Accepted: 03/08/2022] [Indexed: 02/02/2023]
Abstract
OBJECTIVE Ambulance dispatch algorithms should function as clinical prediction rules, identifying high acuity patients for advanced life support, and low acuity patients for non-urgent transport. Systematic reviews of dispatch algorithms are rare and focus on study types specific to the final phases of rule development, such as impact studies, and may miss the complete value-added evidence chain. We sought to summarise the literature for studies seeking to improve dispatch in trauma by performing a scoping review according to standard frameworks for developing and evaluating clinical prediction rules. METHODS We performed a scoping review searching MEDLINE, EMBASE, CINAHL, the CENTRAL trials registry, and grey literature from January 2005 to October 2021. We included all study types investigating dispatch triage to injured patients in the English language. We reported the clinical prediction rule phase (derivation, validation, impact analysis, or user acceptance) and the performance and outcomes measured for high and low acuity trauma patients. RESULTS Of 2067 papers screened, we identified 12 low and 30 high acuity studies. Derivation studies were most common (52%) and rule-based computer-aided dispatch was the most frequently investigated (23 studies). Impact studies rarely reported a prior validation phase, and few validation studies had their impact investigated. Common outcome measures in each phase were infrequent (0 to 27%), making a comparison between protocols difficult. A series of papers for low acuity patients and another for pediatric trauma followed clinical prediction rule development. Some low acuity Medical Priority Dispatch System codes are associated with the infrequent requirement for advanced life support and clinician review of computer-aided dispatch may enhance dispatch triage accuracy in studies of helicopter emergency medical services. CONCLUSIONS Few derivation and validation studies were followed by an impact study, indicating important gaps in the value-added evidence chain. While impact studies suggest clinician oversight may enhance dispatch, the opportunity exists to standardize outcomes, identify trauma-specific low acuity codes, and develop intelligent dispatch systems.
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Affiliation(s)
- Matthew Miller
- Department of Anesthesia, St George Hospital, Kogarah, Sydney, Australia; Aeromedical Operations, New South Wales Ambulance, Rozelle, Sydney, Australia; PhD Candidate, Centre for Big Data Research in Health at UNSW Sydney, Australia.
| | - Duncan Bootland
- Medical Director, Air Ambulance Kent Surrey Sussex; Department of emergency medicine, University Hospitals Sussex, Brighton, UK
| | - Louisa Jorm
- Professor, Foundation Director of the Centre for Big Data Research in Health at UNSW Sydney
| | - Blanca Gallego
- Associate Professor, Clinical analytics and machine learning unit, Centre for Big Data Research in Health, UNSW, Sydney
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Prediction of hospitalization using artificial intelligence for urgent patients in the emergency department. Sci Rep 2021; 11:19472. [PMID: 34593930 PMCID: PMC8484275 DOI: 10.1038/s41598-021-98961-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 09/17/2021] [Indexed: 11/10/2022] Open
Abstract
Timely assessment to accurately prioritize patients is crucial for emergency department (ED) management. Urgent (i.e., level-3, on a 5-level emergency severity index system) patients have become a challenge since under-triage and over-triage often occur. This study was aimed to develop a computational model by artificial intelligence (AI) methodologies to accurately predict urgent patient outcomes using data that are readily available in most ED triage systems. We retrospectively collected data from the ED of a tertiary teaching hospital between January 1, 2015 and December 31, 2019. Eleven variables were used for data analysis and prediction model building, including 1 response, 2 demographic, and 8 clinical variables. A model to predict hospital admission was developed using neural networks and machine learning methodologies. A total of 282,971 samples of urgent (level-3) visits were included in the analysis. Our model achieved a validation area under the curve (AUC) of 0.8004 (95% CI 0.7963–0.8045). The optimal cutoff value identified by Youden's index for determining hospital admission was 0.5517. Using this cutoff value, the sensitivity was 0.6721 (95% CI 0.6624–0.6818), and the specificity was 0.7814 (95% CI 0.7777–0.7851), with a positive predictive value of 0.3660 (95% CI 0.3586–0.3733) and a negative predictive value of 0.9270 (95% CI 0.9244–0.9295). Subgroup analysis revealed that this model performed better in the nontraumatic adult subgroup and achieved a validation AUC of 0.8166 (95% CI 0.8199–0.8212). Our AI model accurately assessed the need for hospitalization for urgent patients, which constituted nearly 70% of ED visits. This model demonstrates the potential for streamlining ED operations using a very limited number of variables that are readily available in most ED triage systems. Subgroup analysis is an important topic for future investigation.
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Mégarbane B, Oberlin M, Alvarez JC, Balen F, Beaune S, Bédry R, Chauvin A, Claudet I, Danel V, Debaty G, Delahaye A, Deye N, Gaulier JM, Grossenbacher F, Hantson P, Jacobs F, Jaffal K, Labadie M, Labat L, Langrand J, Lapostolle F, Le Conte P, Maignan M, Nisse P, Sauder P, Tournoud C, Vodovar D, Voicu S, Claret PG, Cerf C. Management of pharmaceutical and recreational drug poisoning. Ann Intensive Care 2020; 10:157. [PMID: 33226502 PMCID: PMC7683636 DOI: 10.1186/s13613-020-00762-9] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Accepted: 10/09/2020] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Poisoning is one of the leading causes of admission to the emergency department and intensive care unit. A large number of epidemiological changes have occurred over the last years such as the exponential growth of new synthetic psychoactive substances. Major progress has also been made in analytical screening and assays, enabling the clinicians to rapidly obtain a definite diagnosis. METHODS A committee composed of 30 experts from five scientific societies, the Société de Réanimation de Langue Française (SRLF), the Société Française de Médecine d'Urgence (SFMU), the Société de Toxicologie Clinique (STC), the Société Française de Toxicologie Analytique (SFTA) and the Groupe Francophone de Réanimation et d'Urgences Pédiatriques (GFRUP) evaluated eight fields: (1) severity assessment and initial triage; (2) diagnostic approach and role of toxicological analyses; (3) supportive care; (4) decontamination; (5) elimination enhancement; (6) place of antidotes; (7) specificities related to recreational drug poisoning; and (8) characteristics of cardiotoxicant poisoning. Population, Intervention, Comparison, and Outcome (PICO) questions were reviewed and updated as needed, and evidence profiles were generated. Analysis of the literature and formulation of recommendations were then conducted according to the GRADE® methodology. RESULTS The SRLF-SFMU guideline panel provided 41 statements concerning the management of pharmaceutical and recreational drug poisoning. Ethanol and chemical poisoning were excluded from the scope of these recommendations. After two rounds of discussion and various amendments, a strong consensus was reached for all recommendations. Six of these recommendations had a high level of evidence (GRADE 1±) and six had a low level of evidence (GRADE 2±). Twenty-nine recommendations were in the form of expert opinion recommendations due to the low evidences in the literature. CONCLUSIONS The experts reached a substantial consensus for several strong recommendations for optimal management of pharmaceutical and recreational drug poisoning, mainly regarding the conditions and effectiveness of naloxone and N-acetylcystein as antidotes to treat opioid and acetaminophen poisoning, respectively.
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Affiliation(s)
- Bruno Mégarbane
- Department of Medical and Toxicological Critical Care, Federation of Toxicology, Lariboisière Hospital, AP-HP, INSERM MURS-1144, University of Paris, 2 Rue Ambroise Paré, Paris, 75010 France
| | - Mathieu Oberlin
- Emergency Department, HuManiS Laboratory (EA7308), University Hospital, Strasbourg, France
| | - Jean-Claude Alvarez
- Department of Pharmacology and Toxicology, Inserm U-1173, FHU Sepsis, Raymond Poincaré Hospital, AP-HP, Paris-Saclay University, Garches, France
| | - Frederic Balen
- Emergency Department, Toulouse University Hospital, Toulouse, France
| | - Sébastien Beaune
- Department of Emergency Medicine, Ambroise Paré Hospital, AP-HP, INSERM UMRS-1144, Paris-Saclay University, Boulogne-Billancourt, France
| | - Régis Bédry
- Hospital Secure Unit, Pellegrin University Hospital, Bordeaux, France
| | - Anthony Chauvin
- Emergency Department, Hôpital Lariboisière, AP-HP, Paris, France
| | - Isabelle Claudet
- Pediatric Emergency Department Children’s Hospital CHU Toulouse, Toulouse, France
| | - Vincent Danel
- Department of Emergency Medicine, University Hospital of Grenoble, Grenoble, France
| | - Guillaume Debaty
- 5525, University Grenoble Alps/CNRS/CHU de Grenoble Alpes/TIMC-IMAG UMR, Grenoble, France
| | | | - Nicolas Deye
- Department of Medical and Toxicological Critical Care, Federation of Toxicology, Lariboisière Hospital, AP-HP, INSERM U942, University of Paris, Paris, France
| | - Jean-Michel Gaulier
- Laboratory of Toxicology, EA 4483 - IMPECS - IMPact de L’Environnement Chimique Sur La Santé Humaine, University of Lille, Lille, France
| | | | - Philippe Hantson
- Intensive Care Department, Cliniques Universitaires St-Luc, Brussels, Belgium
| | - Frédéric Jacobs
- Polyvalent Intensive Care Unit, Antoine Béclère Hospital, Assistance Publique-Hôpitaux de Paris, Paris-Sud University, Clamart, France
| | - Karim Jaffal
- Department of Medical and Toxicological Critical Care, Federation of Toxicology, Lariboisière Hospital, AP-HP, INSERM MURS-1144, University of Paris, 2 Rue Ambroise Paré, Paris, 75010 France
| | - Magali Labadie
- Poison Control Centre of Bordeaux, University Hospital of Bordeaux, Bordeaux, France
| | - Laurence Labat
- Laboratory of Toxicology, Federation of Toxicology APHP, Lariboisière Hospital, INSERM UMRS-1144, University of Paris, Paris, France
| | - Jérôme Langrand
- Poison Control Center of Paris, Federation of Toxicology, Fernand-Widal-Lariboisière Hospital, AP-HP, INSERM UMRS-1144, University of Paris, Paris, France
| | - Frédéric Lapostolle
- SAMU 93-UF Recherche-Enseignement-Qualité, Inserm, U942, Avicenne Hospital, AP-HP, Paris-13 University, Bobigny, France
| | - Philippe Le Conte
- Department of Emergency Medicine, University Hospital of Nantes, Nantes, France
| | - Maxime Maignan
- Emergency Department, Grenoble University Hospital, INSERM U1042, Grenoble Alpes University, Grenoble, France
| | - Patrick Nisse
- Poison Control Centre, University Hospital of Lille, Lille, France
| | - Philippe Sauder
- Intensive Care Unit, University Hospital of Strasbourg, Strasbourg, France
| | | | - Dominique Vodovar
- Poison Control Center of Paris, Federation of Toxicology, Fernand-Widal-Lariboisière Hospital, AP-HP, INSERM UMRS-1144, University of Paris, Paris, France
| | - Sebastian Voicu
- Department of Medical and Toxicological Critical Care, Federation of Toxicology, Lariboisière Hospital, AP-HP, INSERM MURS-1144, University of Paris, 2 Rue Ambroise Paré, Paris, 75010 France
| | - Pierre-Géraud Claret
- Department of Anesthesia Resuscitation Pain Emergency Medicine, Nîmes University Hospital, Nîmes, France
| | - Charles Cerf
- Intensive Care Unit, Foch Hospital, Suresnes, France
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Spangler D, Edmark L, Winblad U, Colldén-Benneck J, Borg H, Blomberg H. Using trigger tools to identify triage errors by ambulance dispatch nurses in Sweden: an observational study. BMJ Open 2020; 10:e035004. [PMID: 32198303 PMCID: PMC7103813 DOI: 10.1136/bmjopen-2019-035004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
OBJECTIVES This study aimed to assess whether trigger tools were useful identifying triage errors among patients referred to non-emergency care by emergency medical dispatch nurses, and to describe the characteristics of these patients. DESIGN An observational study of patients referred by dispatch nurses to non-emergency care. SETTING Dispatch centres in two Swedish regions. PARTICIPANTS A total of 1089 adult patients directed to non-emergency care by dispatch nurses between October 2016 and February 2017. 53% were female and the median age was 61 years. PRIMARY AND SECONDARY OUTCOME MEASURES The primary outcome was a visit to an emergency department within 7 days of contact with the dispatch centre. Secondary outcomes were (1) visits related to the primary contact with the dispatch centre, (2) provision of care above the primary level (ie, interventions not available at a typical local primary care centre) and (3) admission to hospital in-patient care. RESULTS Of 1089 included patients, 260 (24%) visited an emergency department within 7 days. Of these, 209 (80%) were related to the dispatch centre contact, 143 (55%) received interventions above the primary care level and 99 (38%) were admitted to in-patient care. Elderly (65+) patients (OR 1.45, 95% CI 1.05 to 1.98) and patients referred onwards to other healthcare providers (OR 1.58, 95% CI 1.15 to 2.19) had higher likelihoods of visiting an emergency department. Six avoidable patient harms were identified, none of which were captured by existing incident reporting systems, and all of which would have received an ambulance if the decision support system had been strictly adhered to. CONCLUSION The use of these patient outcomes in the framework of a Global Trigger Tool-based review can identify patient harms missed by incident reporting systems in the context of emergency medical dispatching. Increased compliance with the decision support system has the potential to improve patient safety.
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Affiliation(s)
- Douglas Spangler
- Department of Surgical Sciences-Anesthesia and Intensive Care, Uppsala Center for Prehospital Research, Uppsala University, Uppsala, Sweden
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Lennart Edmark
- Department of Anesthesia and Intensive Care, Västmanlands sjukhus Västerås, Vasteras, Sweden
| | - Ulrika Winblad
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Jessica Colldén-Benneck
- Department of Surgical Sciences-Anesthesia and Intensive Care, Uppsala Center for Prehospital Research, Uppsala University, Uppsala, Sweden
| | - Helena Borg
- Ambulance Department, Västmanlands sjukhus Västerås, Vasteras, Sweden
| | - Hans Blomberg
- Department of Surgical Sciences-Anesthesia and Intensive Care, Uppsala Center for Prehospital Research, Uppsala University, Uppsala, Sweden
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Eastwood K, Morgans A, Stoelwinder J, Smith K. The appropriateness of low-acuity cases referred for emergency ambulance dispatch following ambulance service secondary telephone triage: A retrospective cohort study. PLoS One 2019; 14:e0221158. [PMID: 31408496 PMCID: PMC6691999 DOI: 10.1371/journal.pone.0221158] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Accepted: 07/31/2019] [Indexed: 11/19/2022] Open
Abstract
Objective Ambulance-based secondary telephone triage systems have been established in ambulance services to divert low-acuity cases away from emergency ambulance dispatch. However, some low-acuity cases still receive an emergency ambulance dispatch following secondary triage. To date, no evidence exists identifying whether these cases required an emergency ambulance. The aim of this study was to investigate whether cases were appropriately referred for emergency ambulance dispatch following secondary telephone triage. Methods A retrospective cohort analysis was conducted of cases referred for emergency ambulance dispatch in Melbourne, Australia following secondary telephone triage between September 2009 and June 2012. Appropriateness was measured by assessing the frequency of advanced life support (ALS) treatment by paramedics, and paramedic transport to hospital. Results There were 23,696 cases included in this study. Overall, 54% of cases received paramedic treatment, which was similar to the state-wide rate for emergency ambulance cases (55.5%). All secondary telephone triage cases referred for emergency ambulance dispatch had transportation rates higher than all metropolitan emergency ambulance cases (82.2% versus 71.1%). Two-thirds of the cases that were transported were also treated by paramedics (66.5%), and 17.7% of cases were not transported to hospital by ambulance following paramedic assessment. Conclusions Overall, the cases returned for emergency ambulance dispatch following secondary telephone triage were appropriate. Nevertheless, the paramedic treatment rates in particular indicate a considerable rate of overtriage requiring further investigation to optimize the efficacy of secondary telephone triage.
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Affiliation(s)
- Kathryn Eastwood
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Ambulance Victoria, Doncaster, Victoria, Australia
- * E-mail:
| | - Amee Morgans
- Emergency Services Telecommunications Authority, Burwood, Victoria, Australia
| | - Johannes Stoelwinder
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Karen Smith
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Ambulance Victoria, Doncaster, Victoria, Australia
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Eastwood K, Morgans A, Stoelwinder J, Smith K. Patient and case characteristics associated with 'no paramedic treatment' for low-acuity cases referred for emergency ambulance dispatch following a secondary telephone triage: a retrospective cohort study. Scand J Trauma Resusc Emerg Med 2018; 26:8. [PMID: 29321074 PMCID: PMC5763642 DOI: 10.1186/s13049-018-0475-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2017] [Accepted: 01/03/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Predicting case types that are unlikely to be treated by paramedics can aid in managing demand for emergency ambulances by identifying cases suitable for alternative management pathways. The aim of this study was to identify the patient characteristics and triage outcomes associated with 'no paramedic treatment' for cases referred for emergency ambulance dispatch following secondary telephone triage. METHODS A retrospective cohort analysis was conducted of cases referred for emergency ambulance dispatch following secondary telephone triage between September 2009 and June 2012. Multivariable logistic regression modelling was used to identify explanatory variables associated with 'no paramedic treatment'. RESULTS There were 19,041 cases eligible for inclusion in this study over almost three years, of which 8510 (44.7%) were not treated after being sent an emergency ambulance following secondary triage. Age, time of day, pain, triage guideline group, and comorbidities were associated with 'no paramedic treatment'. In particular, cases 0-4 years of age or those with psychiatric conditions were significantly less likely to be treated by paramedics, and increasing pain resulted in higher rates of paramedic treatment. CONCLUSIONS This study highlights that case characteristics can be used to identify particular case types that may benefit from care pathways other than emergency ambulance dispatch. This process is also useful to identify gaps in the alternative care pathways currently available. These findings offer the opportunity to optimise secondary telephone triage services to support their strategic purpose of minimising unnecessary emergency ambulance demand and to match the right case with the right care pathway.
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Affiliation(s)
- Kathryn Eastwood
- Department of Epidemiology and Preventive Medicine, The Alfred Centre, Monash University, 99 Commercial Road, Melbourne, VIC, 3004, Australia. .,Ambulance Victoria, Victoria, Australia.
| | - Amee Morgans
- Emergency Services Telecommunications Authority, Victoria, Australia
| | - Johannes Stoelwinder
- Department of Epidemiology and Preventive Medicine, The Alfred Centre, Monash University, 99 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Karen Smith
- Department of Epidemiology and Preventive Medicine, The Alfred Centre, Monash University, 99 Commercial Road, Melbourne, VIC, 3004, Australia.,Ambulance Victoria, Victoria, Australia.,Department of Community Emergency Health and Paramedic Practice, Monash University, Melbourne, VIC, Australia
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Eastwood K, Smith K, Morgans A, Stoelwinder J. Appropriateness of cases presenting in the emergency department following ambulance service secondary telephone triage: a retrospective cohort study. BMJ Open 2017; 7:e016845. [PMID: 29038180 PMCID: PMC5652623 DOI: 10.1136/bmjopen-2017-016845] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
OBJECTIVE To investigate the appropriateness of cases presenting to the emergency department (ED) following ambulance-based secondary telephone triage. DESIGN A pragmatic retrospective cohort analysis of all the planned and unplanned ED presentations within 48 hours of a secondary telephone triage. SETTING The secondary telephone triage service, called the Referral Service, and the hospitals were located in metropolitan Melbourne, Australia and operated 24 hours a day, servicing 4.25 million people. The Referral Service provides an in-depth secondary triage of cases classified as low acuity when calling the Australian emergency telephone number. POPULATION Cases triaged by the Referral Service between September 2009 and June 2012 were linked to ED and hospital admission records (N=44,523). Planned ED presentations were cases referred to the ED following the secondary triage, unplanned ED presentations were cases that presented despite being referred to alternative care pathways. MAIN OUTCOME MEASURES Appropriateness was measured using an ED suitability definition and hospital admission rates. These were compared with mean population data which consisted of all of the ED presentations for the state (termed the 'average Victorian ED presentation'). RESULTS Planned ED presentations were more likely to be ED suitable than unplanned ED presentations (OR 1.62; 95% CI 1.5 to 1.7; p<0.001) and the average Victorian ED presentation (OR 1.85; 95% CI 1.01 to 3.4; p=0.046). They were also more likely to be admitted to the hospital than the unplanned ED presentation (OR 1.5; 95% CI 1.4 to 1.6; p<0.001) and the average Victorian ED presentation (OR 2.3, 95% CI 2.24 to 2.33; p<0.001). Just under 15% of cases diverted away from the emergency care pathways presented in the ED (unplanned ED attendances), and 9.5% of all the alternative care pathway cases were classified as ED suitable and 6.5% were admitted to hospital. CONCLUSIONS Secondary telephone triage was able to appropriately identify many ED suitable cases, and while most cases referred to alternative care pathways did not present in the ED. Further research is required to establish that these were not inappropriately triaged away from the emergency care pathways.
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Affiliation(s)
- Kathryn Eastwood
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Ambulance Victoria, Melbourne, Victoria, Australia
| | - Karen Smith
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Ambulance Victoria, Melbourne, Victoria, Australia
| | - Amee Morgans
- Emergency Services Telecommunications Authority, Melbourne, Victoria, Australia
| | - Johannes Stoelwinder
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Emergency Services Telecommunications Authority, Melbourne, Victoria, Australia
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Leggatt L, Van Aarsen K, Columbus M, Dukelow A, Lewell M, Davis M, McLeod S. Morbidity and Mortality Associated with Prehospital “Lift-assist” Calls. PREHOSP EMERG CARE 2017; 21:556-562. [DOI: 10.1080/10903127.2017.1308607] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Impact of the Use of Regional Poison Control Centers in an Urban EMS Dispatch System. J Med Toxicol 2017; 13:47-51. [DOI: 10.1007/s13181-016-0586-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Revised: 09/05/2016] [Accepted: 09/06/2016] [Indexed: 11/27/2022] Open
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Snooks HA, Anthony R, Chatters R, Dale J, Fothergill R, Gaze S, Halter M, Humphreys I, Koniotou M, Logan P, Lyons R, Mason S, Nicholl J, Peconi J, Phillips C, Phillips J, Porter A, Siriwardena AN, Smith G, Toghill A, Wani M, Watkins A, Whitfield R, Wilson L, Russell IT. Support and Assessment for Fall Emergency Referrals (SAFER) 2: a cluster randomised trial and systematic review of clinical effectiveness and cost-effectiveness of new protocols for emergency ambulance paramedics to assess older people following a fall with referral to community-based care when appropriate. Health Technol Assess 2017; 21:1-218. [PMID: 28397649 PMCID: PMC5402213 DOI: 10.3310/hta21130] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Emergency calls are frequently made to ambulance services for older people who have fallen, but ambulance crews often leave patients at the scene without any ongoing care. We evaluated a new clinical protocol which allowed paramedics to assess older people who had fallen and, if appropriate, refer them to community-based falls services. OBJECTIVES To compare outcomes, processes and costs of care between intervention and control groups; and to understand factors which facilitate or hinder use. DESIGN Cluster randomised controlled trial. PARTICIPANTS Participating paramedics at three ambulance services in England and Wales were based at stations randomised to intervention or control arms. Participants were aged 65 years and over, attended by a study paramedic for a fall-related emergency service call, and resident in the trial catchment areas. INTERVENTIONS Intervention paramedics received a clinical protocol with referral pathway, training and support to change practice. Control paramedics continued practice as normal. OUTCOMES The primary outcome comprised subsequent emergency health-care contacts (emergency admissions, emergency department attendances, emergency service calls) or death at 1 month and 6 months. Secondary outcomes included pathway of care, ambulance service operational indicators, self-reported outcomes and costs of care. Those assessing outcomes remained blinded to group allocation. RESULTS Across sites, 3073 eligible patients attended by 105 paramedics from 14 ambulance stations were randomly allocated to the intervention group, and 2841 eligible patients attended by 110 paramedics from 11 stations were randomly allocated to the control group. After excluding dissenting and unmatched patients, 2391 intervention group patients and 2264 control group patients were included in primary outcome analyses. We did not find an effect on our overall primary outcome at 1 month or 6 months. However, further emergency service calls were reduced at both 1 month and 6 months; a smaller proportion of patients had made further emergency service calls at 1 month (18.5% vs. 21.8%) and the rate per patient-day at risk at 6 months was lower in the intervention group (0.013 vs. 0.017). Rate of conveyance to emergency department at index incident was similar between groups. Eight per cent of trial eligible patients in the intervention arm were referred to falls services by attending paramedics, compared with 1% in the control arm. The proportion of patients left at scene without further care was lower in the intervention group than in the control group (22.6% vs. 30.3%). We found no differences in duration of episode of care or job cycle. No adverse events were reported. Mean cost of the intervention was £17.30 per patient. There were no significant differences in mean resource utilisation, utilities at 1 month or 6 months or quality-adjusted life-years. In total, 58 patients, 25 paramedics and 31 stakeholders participated in focus groups or interviews. Patients were very satisfied with assessments carried out by paramedics. Paramedics reported that the intervention had increased their confidence to leave patients at home, but barriers to referral included patients' social situations and autonomy. CONCLUSIONS Findings indicate that this new pathway may be introduced by ambulance services at modest cost, without risk of harm and with some reductions in further emergency calls. However, we did not find evidence of improved health outcomes or reductions in overall NHS emergency workload. Further research is necessary to understand issues in implementation, the costs and benefits of e-trials and the performance of the modified Falls Efficacy Scale. TRIAL REGISTRATION Current Controlled Trials ISRCTN60481756 and PROSPERO CRD42013006418. FUNDING This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 21, No. 13. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Helen A Snooks
- Patient and Population Health and Informatics, Swansea University Medical School, Swansea, UK
| | - Rebecca Anthony
- Patient and Population Health and Informatics, Swansea University Medical School, Swansea, UK
| | - Robin Chatters
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Jeremy Dale
- Warwick Medical School, University of Warwick, Coventry, UK
| | - Rachael Fothergill
- Clinical Audit and Research Unit, London Ambulance Service NHS Trust, London, UK
| | - Sarah Gaze
- Patient and Population Health and Informatics, Swansea University Medical School, Swansea, UK
| | - Mary Halter
- Faculty of Health and Social Care Sciences, St George's University Hospital, London, UK
| | - Ioan Humphreys
- Swansea Centre for Health Economics, Swansea University, Swansea, UK
| | - Marina Koniotou
- Patient and Population Health and Informatics, Swansea University Medical School, Swansea, UK
| | - Phillipa Logan
- Community Health Sciences, University of Nottingham, Nottingham, UK
| | - Ronan Lyons
- Patient and Population Health and Informatics, Swansea University Medical School, Swansea, UK
| | - Suzanne Mason
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Jon Nicholl
- School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Julie Peconi
- Patient and Population Health and Informatics, Swansea University Medical School, Swansea, UK
| | - Ceri Phillips
- Swansea Centre for Health Economics, Swansea University, Swansea, UK
| | - Judith Phillips
- Centre for Innovative Ageing, Swansea University, Swansea, UK
| | - Alison Porter
- Patient and Population Health and Informatics, Swansea University Medical School, Swansea, UK
| | | | | | | | - Mushtaq Wani
- Department of Geriatric and Stroke Medicine, Morriston Hospital, Swansea, UK
| | - Alan Watkins
- Patient and Population Health and Informatics, Swansea University Medical School, Swansea, UK
| | - Richard Whitfield
- Pre-hospital Emergency Research Unit (PERU), Welsh Ambulance Services NHS Trust, Cardiff, UK
| | - Lynsey Wilson
- Patient and Population Health and Informatics, Swansea University Medical School, Swansea, UK
| | - Ian T Russell
- Patient and Population Health and Informatics, Swansea University Medical School, Swansea, UK
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Bosak A, Brooks DE, Welch S, Padilla-Jones A, Gerkin RD. A retrospective review of 911 calls to a regional poison control center. J Family Med Prim Care 2016; 4:546-50. [PMID: 26985414 PMCID: PMC4776607 DOI: 10.4103/2249-4863.174285] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Background: There is little data as to what extent national Emergency Medical Services (EMS; 911) utilize poison control centers (PCCs). A review of data from our PCC was done to better understand this relationship and to identify potential improvements in patient care and health care savings. Methods: Retrospective chart review of a single PCC to identify calls originating from 911 sources over a 4-year study period (1/1/08–12/31/11). Recorded variables included the origin of call to the PCC, intent of exposure, symptoms, management site, hospital admission, and death. Odds ratios (OR) were developed using multiple logistic regressions to identify risk factors for EMS dispatch, management site, and the need for hospital admission. Results: A total of 7556 charts were identified; 4382 (58%) met inclusion criteria. Most calls (63.3%) involved accidental exposures and 31% were self-harm or misuse. A total of 2517 (57.4%) patients had symptoms and 2044 (50.8%) were transported to an Emergency Department (ED). Over 38% of calls (n = 1696) were handled primarily by the PCC and did not result in EMS dispatch; only 6.5% of cases (n = 287) with initial PCC involvement resulted in crew dispatch. There were 955 (21.8%) cases that resulted in admission, and five deaths. The OR for being transported to an ED was 45.4 (95% confidence interval [CI]: 30.2–68.4) when the crew was dispatched by the PCC. Hospital admission was predicted by intent for self-harm (OR 5.0; 95% CI: 4.1–6.2) and the presence of symptoms (OR 2.43; 95% CI: 1.9–3.0). The ORs for several other predictive variables are also reported. Conclusions: When 911 providers contact a PCC about poisoning-related emergencies, a history of intentional exposure and the presence of symptoms each predicted EMS dispatch by the PCC, patient transport to an ED, and hospital admission. Early involvement of a PCC may prevent the need for EMS activation or patient transfer to a health care facility.
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Affiliation(s)
- Adam Bosak
- Department of Medical Toxicology, Banner - University Medical Center Phoenix, Phoenix, Arizona, USA; Center for Toxicology and Pharmacology Education and Research, University of Arizona College of Medicine - Phoenix, Phoenix, Arizona, USA
| | - Daniel E Brooks
- Banner Poison and Drug Information Center, Phoenix, Arizona, USA; Department of Medical Toxicology, Banner - University Medical Center Phoenix, Phoenix, Arizona, USA; Center for Toxicology and Pharmacology Education and Research, University of Arizona College of Medicine - Phoenix, Phoenix, Arizona, USA
| | - Sharyn Welch
- Banner Poison and Drug Information Center, Phoenix, Arizona, USA; Center for Toxicology and Pharmacology Education and Research, University of Arizona College of Medicine - Phoenix, Phoenix, Arizona, USA
| | - Angie Padilla-Jones
- Department of Medical Toxicology, Banner - University Medical Center Phoenix, Phoenix, Arizona, USA; Center for Toxicology and Pharmacology Education and Research, University of Arizona College of Medicine - Phoenix, Phoenix, Arizona, USA
| | - Richard D Gerkin
- Department of Medical Education, Banner - University Medical Center Phoenix, Phoenix, Arizona, USA; Center for Toxicology and Pharmacology Education and Research, University of Arizona College of Medicine - Phoenix, Phoenix, Arizona, USA
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Eastwood K, Morgans A, Smith K, Hodgkinson A, Becker G, Stoelwinder J. A novel approach for managing the growing demand for ambulance services by low-acuity patients. AUST HEALTH REV 2016; 40:378-384. [DOI: 10.1071/ah15134] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Accepted: 09/29/2015] [Indexed: 11/23/2022]
Abstract
Objective The aim of the present study was to describe the Ambulance Victoria (AV) secondary telephone triage service, called the Referral Service (RS), for low-priority patients calling triple zero. This service provides alternatives to ambulance dispatch, such as doctor or nurse home visits. Methods A descriptive epidemiological review of all the cases managed between 2009 and 2012 was conducted, using data from AV case records, the Victorian Admitted Episodes Dataset and the Australian Bureau of Statistics. Cases were reviewed for patient demographics, condition, final disposition and RS outcome. Results In all, 107148 cases were included in the study, accounting for 10.3% of the total calls for ambulance attendance. Median patient age was 54 years and 55% were female. Geographically based socioeconomic status was associated with the rate of calls to the RS (r = –0.72; 95% confidence interval CI –0.104, –0.049; P < 0.001). Abdominal pain and back symptoms were the most common patient problems. Although 68% of patients were referred to the emergency department, only 27.6% of the total cases were by emergency ambulance; the remainder were diverted to non-emergency ambulance or the patient’s own private transport. The remaining 32% of cases were referred to alternative service providers or given home care advice. Conclusions This paper describes the use of an ongoing secondary triage service, providing an effective strategy for managing emergency ambulance demand. What is known about the topic? Some calls to emergency services telephone numbers for ambulance assistance consist of cases deemed to be low-acuity that could potentially be better managed in the primary care setting. The demand on ambulance resources is increasing each year. Secondary telephone triage systems have been trialled in ambulance services in the US and UK with minimal success in terms of overall impact on ambulance resourcing. What does this paper add? This study describes a model of secondary telephone triage in the ambulance setting that has provided an effective way to divert patients to more suitable forms of health care to meet their needs. What are the implications for practitioners? The implications for practitioners are vast. Some of the issues that currently face paramedics include: fatigue because of high workloads; skills decay because of a lack of exposure to patients requiring intervention with skills the paramedics have, as well as a lack of time for paramedics to practice these skills during their downtime; and decreasing job satisfaction linked to both these factors. Implications for patients include quicker response times because more ambulances will be available to respond and increased patient safety because of decreased fatigue and higher skill levels in paramedics.
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Turner J, Coster J, Chambers D, Cantrell A, Phung VH, Knowles E, Bradbury D, Goyder E. What evidence is there on the effectiveness of different models of delivering urgent care? A rapid review. HEALTH SERVICES AND DELIVERY RESEARCH 2015. [DOI: 10.3310/hsdr03430] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BackgroundIn 2013 NHS England set out its strategy for the development of an emergency and urgent care system that is more responsive to patients’ needs, improves outcomes and delivers clinically excellent and safe care. Knowledge about the current evidence base on models for provision of safe and effective urgent care, and the gaps in evidence that need to be addressed, can support this process.ObjectiveThe purpose of the evidence synthesis is to assess the nature and quality of the existing evidence base on delivery of emergency and urgent care services and identify gaps that require further primary research or evidence synthesis.Data sourcesMEDLINE, EMBASE, The Cochrane Library, the Cumulative Index to Nursing and Allied Health Literature (CINAHL) and the Web of Science.MethodsWe have conducted a rapid, framework-based, evidence synthesis approach. Five separate reviews linked to themes in the NHS England review were conducted. One general and five theme-specific database searches were conducted for the years 1995–2014. Relevant systematic reviews and additional primary research papers were included and narrative assessment of evidence quality was conducted for each review.ResultsThe review was completed in 6 months. In total, 45 systematic reviews and 102 primary research studies have been included across all five reviews. The key findings for each review are as follows: (1) demand – there is little empirical evidence to explain increases in demand for urgent care; (2) telephone triage – overall, these services provide appropriate and safe decision-making with high patient satisfaction, but the required clinical skill mix and effectiveness in a system is unclear; (3) extended paramedic roles have been implemented in various health settings and appear to be successful at reducing the number of transports to hospital, making safe decisions about the need for transport and delivering acceptable, cost-effective care out of hospital; (4) emergency department (ED) – the evidence on co-location of general practitioner services with EDs indicates that there is potential to improve care. The attempt to summarise the evidence about wider ED operations proved to be too complex and further focused reviews are needed; and (5) there is no empirical evidence to support the design and development of urgent care networks.LimitationsAlthough there is a large body of evidence on relevant interventions, much of it is weak, with only very small numbers of randomised controlled trials identified. Evidence is dominated by single-site studies, many of which were uncontrolled.ConclusionsThe evidence gaps of most relevance to the delivery of services are (1) a requirement for more detailed understanding and mapping of the characteristics of demand to inform service planning; (2) assessment of the current state of urgent care network development and evaluation of the effectiveness of different models; and (3) expanding the current evidence base on existing interventions that are viewed as central to delivery of the NHS England plan by assessing the implications of increasing interventions at scale and measuring costs and system impact. It would be prudent to develop a national picture of existing pilot projects or interventions in development to support decisions about research commissioning.FundingThe National Institute for Health Research Health Services and Delivery Research Programme.
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Affiliation(s)
- Janette Turner
- School for Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Joanne Coster
- School for Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Duncan Chambers
- School for Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Anna Cantrell
- School for Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Viet-Hai Phung
- College of Social Science, University of Lincoln, Lincoln, UK
| | - Emma Knowles
- School for Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Daniel Bradbury
- School for Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
| | - Elizabeth Goyder
- School for Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK
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Alternatives to Traditional EMS Dispatch and Transport: A Scoping Review of Reported Outcomes. CAN J EMERG MED 2015; 17:532-50. [DOI: 10.1017/cem.2014.59] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
AbstractObjectivesEmergency medical services (EMS) programs, which provide an alternative to traditional EMS dispatch or transport to the emergency department (ED), are becoming widely implemented. This scoping review identified and catalogued all outcomes used to measure such alternative EMS programs.Data SourceBroad systematized bibliographic and grey literature searches were conducted.Study SelectionInclusion criteria were 911 callers/EMS patients, reported on alternatives to traditional EMS dispatch OR traditional EMS transport to the ED, and reported an outcome measure.Data ExtractionThe reports were categorized as either alternative to dispatch or to EMS transport, and outcome measures were categorized and described.Data SynthesisThe bibliographic search retrieved 13,215 records, of which 34 articles met the inclusion criteria, with an additional 10 added from reference list hand-searching (n=44 included). In the grey literature search, 31 websites were identified, from which four met criteria and were retrieved (n=4 included). Fifteen reports (16 studies) described alternatives to EMS dispatch, and 33 reports described alternatives to EMS transport. The most common outcomes reported in the alternatives to EMS dispatch reports were service utilization and decision accuracy. Twenty-four different specific outcomes were reported. The most common outcomes reported in the alternatives to EMS transport reports were service utilization and safety, and 50 different specific outcomes were reported.ConclusionsNumerous outcome measures were identified in reports of alternative EMS programs, which were catalogued and described. Researchers and program leaders should achieve consensus on uniform outcome measures, to allow benchmarking and improve comparison across programs.
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Eastwood K, Morgans A, Smith K, Stoelwinder J. Secondary triage in prehospital emergency ambulance services: a systematic review. Emerg Med J 2014; 32:486-92. [PMID: 24788598 DOI: 10.1136/emermed-2013-203120] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2013] [Accepted: 03/30/2014] [Indexed: 11/04/2022]
Abstract
OBJECTIVE Secondary telephone triage to divert low-acuity patients to alternative non-ambulance services before ambulance arrival has been trialled in the UK and USA as a management strategy to cope with the increase in ambulance demand. The objective of this systematic review was to examine the literature on the structure, safety and success of secondary triage systems. METHODS For inclusion in the study, the telephone triage system had to be a secondary process, receiving referred patients who had already been categorised as low priority by a primary triage process. Two independent reviewers conducted the search to identify relevant studies. Six articles and one report were identified. RESULTS The major theme of the papers was the safety and accuracy of secondary telephone triage in identifying low-acuity patients. Two studies also discussed patient satisfaction. There was a low incidence of adverse events, as expected as these patients had already been subjected to primary telephone triage. In the studies identifying ambulance dispatch as a potential final disposition, at least half of the patients were diverted away from ambulance dispatch. In the studies that identified self/home care as a final disposition, a maximum of 31% of patients were categorised to this outcome. Otherwise all patients were recommended for assessment by a healthcare professional other than ambulance clinicians. Patients appeared to be satisfied with secondary telephone triage on follow-up. CONCLUSIONS These results suggest that, while secondary triage of these patients is safe, further research is required to determine its most appropriate structure and its effect on ambulance demand.
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Affiliation(s)
- Kathryn Eastwood
- Department of Epidemiology and Preventative Medicine, The Alfred Centre, Monash University, Melbourne, Victoria, Australia Ambulance Victoria, Melbourne, Victoria, Australia Department of Community Emergency Health and Paramedic Practice, Monash University, Melbourne, Victoria, Australia
| | - Amee Morgans
- Department of Community Emergency Health and Paramedic Practice, Monash University, Melbourne, Victoria, Australia
| | - Karen Smith
- Department of Epidemiology and Preventative Medicine, The Alfred Centre, Monash University, Melbourne, Victoria, Australia Ambulance Victoria, Melbourne, Victoria, Australia
| | - Johannes Stoelwinder
- Department of Epidemiology and Preventative Medicine, The Alfred Centre, Monash University, Melbourne, Victoria, Australia Ambulance Victoria, Melbourne, Victoria, Australia
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Lyon RM, Bohm K, Christensen EF, Olasveengen TM, Castrén M. The inaugural European emergency medical dispatch conference--a synopsis of proceedings. Scand J Trauma Resusc Emerg Med 2013; 21:73. [PMID: 24059651 PMCID: PMC3848775 DOI: 10.1186/1757-7241-21-73] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2013] [Accepted: 09/08/2013] [Indexed: 11/23/2022] Open
Abstract
The inaugural European Emergency Medical Dispatch conference was held in Stockholm, Sweden, in May 2013. We provide a synopsis of the conference proceedings, highlight key topic areas of emergency medical dispatch and suggest future research priorities.
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Affiliation(s)
- Richard M Lyon
- Emergency Medicine Research Group, Edinburgh, UK
- Kent, Surrey & Sussex Air Ambulance Trust, UK
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Hodell EM, Sporer KA, Brown JF. Which emergency medical dispatch codes predict high prehospital nontransport rates in an urban community? PREHOSP EMERG CARE 2013; 18:28-34. [PMID: 24028558 DOI: 10.3109/10903127.2013.825349] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND The Medical Priority Dispatch System (MPDS) is a commonly used computer-based emergency medical dispatch (EMD) system that is widely used to prioritize 9-1-1 calls and optimize resource allocation. There are five major priority classes used to dispatch 9-1-1 calls in the San Francisco System; Alpha codes are the lowest priority (lowest expected acuity) and Echo are the highest priority. OBJECTIVE We sought to determine which MPDS dispatch codes are associated with high prehospital nontransport rates (NTRs). METHODS All unique MPDS call categories from 2009 in a highly urbanized, two-tier advanced life support (ALS) system were sorted according to highest NTRs. There are many reasons for nontransport, such as "gone on arrival," and "patient denied transport." Those categories with greater than 100 annual calls were further evaluated. MPDS groups that included multiple categories with NTRs exceeding 25% were then identified and each category was analyzed. Results. EMS responded to a total of 81,437 calls in 2009, of which 18,851 were not transported by EMS. The majority of the NTRs were found among "cardiac/ respiratory arrest/death," "assault/sexual assaults," "unknown problem/man down," "traffic/transportation accidents," and "unconscious/fainting." "Cardiac or respiratory arrest/death -obvious death" (9B1) had the highest overall nontransport rate, 99.25% (1/134), most likely due to declaration of death. "Unknown problem -man down -medical alert notification" had the second highest NTR, 67.22% (138/421). However, Echo priority codes had the highest overall nontransport rates (45.45%) and Charlie had the lowest (13.84%). CONCLUSIONS The nontransport rates of individual MPDS categories vary considerably and should be considered in any system design. We identified 52 unique call categories to have a 25% or greater NTR, 18 of which exceeded 40%. The majority of NTRs occurred among the "cardiac/respiratory arrest/death," "assault/sexual assaults," "unknown problem/man down," "traffic/transportation accidents," and "unconscious/fainting" categories. The higher the priority code within each subset (AB vs. CDE), the less likely the patient was to be transported. Charlie priority codes had a lower NTR than Delta, and Delta was lower than Echo. Charlie codes were therefore the strongest predictors of hospital transport, while Echo codes (highest priority) were those with the highest nontransport rates and were the worst predictors of hospital transport in the emergent subset.
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Affiliation(s)
- Evan M Hodell
- From the University of California, San Francisco, School of Medicine (EMH), San Francisco , California , USA ; the Department of Emergency Medicine (JFB), University of California , San Francisco, California , USA ; and Alameda County EMS Agency (KAS) , Oakland, California , USA
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