Dataset Information

Emergency medical dispatch services across Pan-Asian countries: a web-based survey.

ABSTRACT: BACKGROUND:Dispatch services (DS's) form an integral part of emergency medical service (EMS) systems. The role of a dispatcher has also evolved into a crucial link in patient care delivery, particularly in dispatcher assisted cardio-pulmonary resuscitation (DACPR) during out-of-hospital cardiac arrest (OHCA). Yet, there has been a paucity of research into the emerging area of dispatch science in Asia. This paper compares the characteristics of DS's, and state of implementation of DACPR within the Pan-Asian Resuscitation Outcomes (PAROS) network. METHODS:A cross-sectional descriptive survey addressing population characteristics, DS structures and levels of service, state of DACPR implementation (including protocols and quality improvement programs) among PAROS DS's. RESULTS:9 DS's responded, representing a total of 23 dispatch centres from 9 countries that serve over 80 million people. Most PAROS DS's operate a tiered dispatch response, have implemented medical oversight, and tend to be staffed by dispatchers with a predominantly medical background. Almost all PAROS DS's have begun tracking key EMS indicators. 77.8% (n?=?7) of PAROS DS's have introduced DACPR. Of the DS's that have rolled out DACPR, 71.4% (n?=?5) provided instructions in over one language. All DS's that implemented DACPR and provided feedback to dispatchers offered feedback on missed OHCA recognition. The majority of DS's (83.3%; n?=?5) that offered DACPR and provided feedback to dispatchers also implemented corrective feedback, while 66.7% (n?=?4) offered positive feedback. Compression-only CPR was the standard instruction for PAROS DS's. OHCA recognition sensitivity varied widely in PAROS DS's, ranging from 32.6% (95% CI: 29.9-35.5%) to 79.2% (95% CI: 72.9-84.4%). Median time to first compression ranged from 120?s to 220?s. CONCLUSIONS:We found notable variations in characteristics and state of DACPR implementation between PAROS DS's. These findings will lay the groundwork for future DS and DACPR studies in the PAROS network.

SUBMITTER: Lee SCL

PROVIDER: S-EPMC6947813 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Emergency medical dispatch services across Pan-Asian countries: a web-based survey.

Lee Shawn Chieh Loong SCL Mao Desmond Renhao DR Ng Yih Yng YY Leong Benjamin Sieu-Hon BS Supasaovapak Jirapong J Gaerlan Faith Joan FJ Son Do Ngoc DN Chia Boon Yang BY Do Shin Sang S Lin Chih-Hao CH Rao G V Ramana GVR Hara Takahiro T Ong Marcus Eng Hock MEH

BMC emergency medicine 20200107 1

<h4>Background</h4>Dispatch services (DS's) form an integral part of emergency medical service (EMS) systems. The role of a dispatcher has also evolved into a crucial link in patient care delivery, particularly in dispatcher assisted cardio-pulmonary resuscitation (DACPR) during out-of-hospital cardiac arrest (OHCA). Yet, there has been a paucity of research into the emerging area of dispatch science in Asia. This paper compares the characteristics of DS's, and state of implementation of DACPR w ...[more]

PMID: 31910801

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Project description:BackgroundResponsive and efficient emergency medical services (EMS) require accurate telephone triage. In Finland, such services are provided by Emergency Response Centre Agency (ERC Agency). In 2018, a new Finnish computer-assisted emergency dispatch system was introduced: the Emergency Response Integrated Common Authorities (ERICA). After the introduction of ERICA, the appropriateness of EMS dispatch has not been investigated yet. The study´s objective is to determine the consistency between the priority triage of the emergency medical dispatcher (EMD) and the on-scene priority assessment of the EMS, and whether the priority assessment consistency varied among the dispatch categories.MethodsThis was a prospective register-based study. All EMS dispatches registered in the Tampere University Hospital area from 1 August 2021 to 31 August 2021 were analysed. The EMD's mission priority triaged during the emergency call was compared with the on-scene EMS's assessment of the priority, derived from the pre-set criteria. The test performance levels were measured from the crosstabulation of true or false positive and negative values of the priority assessment. Statistical significance was analysed using the chi-square test and the Kruskal-Wallis H test, and p-values < 0.05 were considered significant.ResultsOf the 6416 EMS dispatches analysed in this study, 36% (2341) were urgent according to the EMD's dispatch priority, and of these, only 29% (688) were urgent according to the EMS criteria. On the other hand, 64% (4075) of the dispatches were non-urgent according to the EMD's dispatch priority, of which 97% (3949) were non-urgent according to the EMS criteria. Moreover, there were differences between the EMD and EMS priority assessments among the dispatch categories (p < 0.001). The overall efficiency was 72%, sensitivity 85%, specificity 71%, positive predictive value 29%, and negative predictive value 97%.ConclusionWhile the EMD recognised the non-urgent dispatches with high consistency with the EMS criteria, most of the EMD's urgent dispatches were not urgent according to the same criteria. This may diminish the availability of the EMS for more urgent missions. Thus, measures are needed to ensure more accurate and therefore, more efficient use of EMS resources in the future.

Project description:BACKGROUND:Little is known regarding paediatric medical emergency calls to Danish Emergency Medical Dispatch Centres (EMDC). This study aimed to investigate these calls, specifically the medical issues leading to them and the pre-hospital units dispatched to the paediatric emergencies. METHODS:We performed a retrospective, observational study on paediatric medical emergency calls managed by the EMDC in the Region of Southern Denmark in February 2016. We reviewed audio recordings of emergency calls and ambulance records to identify calls concerning patients ≤ 15 years. We examined EMDC dispatch records to establish how the medical issues leading to these calls were classified and which pre-hospital units were dispatched to the paediatric emergencies. We analysed the data using descriptive statistics. RESULTS:Of a total of 7052 emergency calls in February 2016, 485 (6.9%) concerned patients ≤ 15 years. We excluded 19 and analysed the remaining 466. The reported medical issues were commonly classified as: "seizures" (22.1%), "sick child" (18.9%) and "unclear problem" (12.9%). The overall most common pre-hospital response was immediate dispatch of an ambulance with sirens and lights with a supporting physician-manned mobile emergency care unit (56.4%). The classification of medical issues and the dispatched pre-hospital units varied with patient age. DISCUSSION:We believe our results might help focus the paediatric training received by emergency medical dispatch staff on commonly encountered medical issues, such as the symptoms and conditions pertaining to the symptom categories "seizures" and "sick child". Furthermore, the results could prove useful in hypothesis generation for future studies examining paediatric medical emergency calls. CONCLUSION:Almost 7% of all calls concerned patients ≤ 15 years. Medical issues pertaining to the symptom categories "seizures", "sick child" and "unclear problem" were common and the calls commonly resulted in urgent pre-hospital responses.

Project description:BackgroundSelection of incidents and accurate identification of patients that require assistance from physician-staffed emergency medical services (P-EMS) remain essential. We aimed to evaluate P-EMS availability, the underlying criteria for dispatch, and the corresponding dispatch accuracy of trauma care in south-east Norway in 2015, to identify areas for improvement.MethodsPre-hospital data from emergency medical coordination centres and P-EMS medical databases were linked with data from the Norwegian Trauma Registry (NTR). Based on a set of conditions (injury severity, interventions performed, level of consciousness, incident category), trauma incidents were defined as complex, warranting P-EMS assistance, or non-complex. Incident complexity and P-EMS involvement were the main determinants when assessing the triage accuracy. Undertriage was adjusted for P-EMS availability and response and transport times.ResultsAmong 19,028 trauma incidents, P-EMS were involved in 2506 (13.2%). The range of overtriage was 74-80% and the range of undertriage was 20-32%. P-EMS readiness in the event of complex incidents ranged from 58 to 70%. The most frequent dispatch criterion was "Police/fire brigade request immediate response" recorded in 4321 (22.7%) of the incidents. Criteria from the groups "Accidents" and "Road traffic accidents" were recorded in 10,875 (57.2%) incidents, and criteria from the groups "Transport reservations" and "Unidentified problem" in 6025 (31,7%) incidents. Among 4916 patient pathways in the NTR, 681 (13.9%) could not be matched with pre-hospital data records.ConclusionsBoth P-EMS availability and dispatch accuracy remain suboptimal in trauma care in south-east Norway. Dispatch criteria are too vague to facilitate accurate P-EMS dispatch, and pre-hospital data is inconsistent and insufficient to provide basic data for scientific research. Future dispatch criteria should focus on the care aspect of P-EMS. Better tools for both dispatch and incident handling for the emergency medical coordination centres are essential. In general, coordination, standardisation, and integration of existing data systems should enhance the quality of trauma care and increase patient safety.

Project description:BackgroundEarly recognition of severely injured patients in prehospital settings is of paramount importance for timely treatment and transportation of patients to further treatment facilities. The dispatching accuracy has seldom been addressed in previous studies.ObjectiveIn this study, we aimed to build a machine learning-based model through text mining of emergency calls for the automated identification of severely injured patients after a road accident.MethodsAudio recordings of road accidents in Taipei City, Taiwan, in 2018 were obtained and randomly sampled. Data on call transfers or non-Mandarin speeches were excluded. To predict cases of severe trauma identified on-site by emergency medical technicians, all included cases were evaluated by both humans (6 dispatchers) and a machine learning model, that is, a prehospital-activated major trauma (PAMT) model. The PAMT model was developed using term frequency-inverse document frequency, rule-based classification, and a Bernoulli naïve Bayes classifier. Repeated random subsampling cross-validation was applied to evaluate the robustness of the model. The prediction performance of dispatchers and the PAMT model, in severe cases, was compared. Performance was indicated by sensitivity, specificity, positive predictive value, negative predictive value, and accuracy.ResultsAlthough the mean sensitivity and negative predictive value obtained by the PAMT model were higher than those of dispatchers, they obtained higher mean specificity, positive predictive value, and accuracy. The mean accuracy of the PAMT model, from certainty level 0 (lowest certainty) to level 6 (highest certainty), was higher except for levels 5 and 6. The overall performances of the dispatchers and the PAMT model were similar; however, the PAMT model had higher accuracy in cases where the dispatchers were less certain of their judgments.ConclusionsA machine learning-based model, called the PAMT model, was developed to predict severe road accident trauma. The results of our study suggest that the accuracy of the PAMT model is not superior to that of the participating dispatchers; however, it may assist dispatchers when they lack confidence while making a judgment.

Project description:ObjectiveAlthough 911 calls for acute shortness of breath are common, the role of emergency medical services (EMS) in acute asthma care is unclear. We sought to characterize the demographics, course, and outcomes of adult emergency department (ED) patients with asthma in the United States receiving initial EMS care.MethodsWe analyzed data from the 2016-2019 National Hospital Ambulatory Medical Care Survey (NHAMCS). We included patients aged ≥18 years with an ED visit diagnosis of asthma, stratifying the cases according to initial EMS care. Accounting for the survey design of NHAMCS, we generated nationalized estimates of the number of EMS and non-EMS asthma visits. Using logistic regression, we determined the associations between initial EMS care and patient demographics (age, sex, race, and insurance type), ED course (initial vital signs, triage category, testing, medications), and outcomes (hospital admission, ED length of stay).ResultsOf 435 million adult ED visits during 2016-2019, there were ≈5.3 million related to asthma (1.3 million annually, 1.2%; 95% confidence interval [CI], 1.1%-1.4%). A total of 602,569 (150,642 annually, 11.3%; 95% CI, 8.6%-14.8%) ED patients with asthma received initial EMS care. Compared with non-EMS asthma patients, EMS asthma patients were more likely to present with an "urgent" ED triage category (odds ratio [OR], 22.2; 95% CI, 6.6-74.9) and to undergo laboratory (OR, 2.78; 95% CI, 1.41-5.46) or imaging tests (OR, 2.42; 95% CI, 1.21-4.83). ED patients with asthma receiving initial EMS care were almost 3 times more likely to be admitted to the hospital (OR, 2.81; 95% CI, 1.27-6.25). There were no differences in demographics, ED use of β-agonists or corticosteroids, or ED length of stay between EMS and non-EMS asthma patients.ConclusionsApproximately 1 in 10 adult ED patients with asthma receive initial care by EMS. EMS asthma patients present to the ED with higher acuity, undergo more diagnostic testing in the ED, and are more likely to be admitted. Although limited in information regarding the prehospital course, these findings highlight the more severe illness of asthma patients transported by EMS and underscore the importance of EMS in emergency asthma care.

Dataset Information

Emergency medical dispatch services across Pan-Asian countries: a web-based survey.

Publications

Emergency medical dispatch services across Pan-Asian countries: a web-based survey.

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