Triaging of acutely ill children transported by ambulance. / Hastegradsvurdering av akutt syke barn transportert i ambulanse.

BACKGROUND: The Western Norway Regional Health Authority uses SATS Norge (SATS-N), a modified version of the South African Triage Scale, in all accident and emergency departments (A&E) and ambulance services in the region. The purpose of the study was to examine the validity of the paediatric component of SATS-N used for children transported to hospital by ambulance for emergency medical assistance. MATERIAL AND METHOD: We conducted a retrospective observational study which included all children in the age group 0-14 years, admitted by ambulance to A&E at Haukeland University Hospital for emergency medical assistance in the period from January to June 2020. The five triage levels in SATS-N were dichotomised to high triage level (the two highest triage categories) or low triage level (the three lowest triage categories). Sensitivity was calculated as the proportion of patients assigned to the high triage level among those who were directly transferred from A&E to a high dependency unit, and specificity as the proportion of patients assigned to the low triage level among those who were not directly transferred to a high dependency unit. RESULTS: Of a total of 303 patient transports, 270 (89 %) were triaged in the ambulance and 243 (80 %) in the A&E. In the pre-hospital and A&E settings, the sensitivity of SATS-N was 96 % and 88 %, and specificity was 46 % and 60 %, respectively. INTERPRETATION: For children admitted to hospital by ambulance, SATS-N had high sensitivity and low specificity for identifying patients who needed to be directly transferred from A&E to a high dependency unit.

Forecasting daily emergency ambulance service demand using biometeorological indexes.

This study aims to study the effectiveness of using biometeorological indexes in the development of a daily emergency ambulance service demand forecast system for Taipei City, Taiwan, compared to typical weather factors. Around 370,000 emergency ambulance service patient records were aggregated into a daily emergency ambulance service demand time series as the study's dependent variable. To assess the effectiveness of biometeorological indexes in making a 1 to 7-day forecast of daily emergency ambulance service demand, five forecast models were developed to make the comparison. The model with average temperature as the only predictor performed the best consistently from 1 to 7-day forecasts. The models with net effective temperature and apparent temperature as their only predictors ranked second and third, respectively. It is surprising that the model with both average temperature and relative humidity as predictors only ranked fourth. The unexpected outperformance of average temperature over net effective temperature and apparent temperature in forecasting daily emergency ambulance service demand suggested the need to develop updated locational-specific biometeorological indexes so that the benefit of the indexes can be fully utilized. Although adopting popular biometeorological indexes that are already available would be cheap and convenient, the benefit from these general indexes may not be guaranteed.

Heatstroke-related ambulance dispatch risk before and during COVID-19 pandemic: Subgroup analysis by age, severity, and incident place.

BACKGROUND: In summer 2020 under the COVID-19 pandemic, the Ministry of Health, Labour and Welfare has made public warnings that specific preventive measures such as maskwearing and stay-at-home orders, may increase heatstroke risk. In our previous work, we found a lower risk of heatstroke-related ambulance dispatches (HSAD) during the COVID-19 period, however, it is uncertain whether similar risk reductions can be observed in different vulnerable subgroups. This study aimed to determine the HSAD risk during the COVID-19 pandemic by age, severity, and incident place subgroups. METHOD: A summer-specific (June-September), time-series analysis was performed, using daily HSAD and meteorological data from 47 Japanese prefectures from 2017 to 2020. A two-stage analysis was applied to determine the association between HSAD and COVID-19 pandemic, adjusting for maximum temperature, humidity, seasonality, and relevant temporal adjustments. A generalized linear model was utilized in the first stage to estimate the prefecture-specific effect estimates. Thereafter, a fixed effect meta-analysis in the second stage was implemented to pool the first stage estimates. Subsequently, subgroup analysis via an interaction by age, severity, and incident place was used to analyze the HSAD risk among subgroups. RESULTS: A total of 274,031 HSAD cases was recorded across 47 Japanese prefectures. The average total number of HSAD in the pre-COVID-19 period was 69,721, meanwhile, the COVID-19 period was 64,869. Highest reductions in the risks was particularly observed in the young category (ratio of relative risk (RRR) = 0.54, 95% Confidential Interval (CI): 0.51, 0.57) compared to the elderly category. Whereas highest increment in the risks were observed in severe/death (RRR = 1.25, 95% CI: 1.13, 1.37) compared to the mild category. CONCLUSION: COVID-19 situation exhibited a non-uniform change in the HSAD risk for all subgroups, with the magnitude of the risks varying by age, severity, and incident place.

Impact of crowding in local ambulance demand on call-to-ambulance scene arrival in out-of-hospital cardiac arrest.

BACKGROUND: Rapid emergency medical service (EMS) response is an important prognostic factor in out-of-hospital cardiac arrest (OHCA). This study aims to evaluate the association between local hourly EMS demand and ambulance response in OHCA. METHODS: OHCA occurring in 24 districts of Seoul from 2013 to 2018 was analyzed. Hourly ambulance demand per ambulance in each local district of patient location at the hour of cardiac arrest was calculated as the crowding index. The crowding index was categorized according to quartiles (1Q: ≤0.43, 2Q: 0.44-0.67, 3Q: 0.68-0.99, 4Q: ≥1.0 calls/h\r/ambulance). The primary outcome was ambulance dispatched within 1 km of the OHCA scene. Multivariable logistic regression analysis was performed to test the association between the local hourly ambulance demand and outcomes. RESULTS: A total of 26,479 patients were analyzed. The rate of ambulance dispatched within 1 km decreased according to the crowding quartile (1Q: 31.3%, 2Q: 30.0%, 3Q: 28.8%, and 4Q: 26.6%). Compared to 1Q, adjusted odds ratios (95% CIs) of dispatch distance within 1 km in 2Q, 3Q, and 4Q were 0.92 (0.86-0.99), 0.86 (0.80-0.94), and 0.77 (0.71-0.84), respectively. CONCLUSION: Crowding in local ambulance demand was associated with less ambulance dispatched within 1 km and delayed response to the scene in OHCA. Strategies to mitigate and adjust to ambulance demand crowding may be considered for better EMS response performance.

Pediatric Mild Traumatic Brain Injury: Who Can Be Managed at a Non-pediatric Trauma Center Hospital? A Systematic Review of the Literature.

BACKGROUND: Pediatric traumatic brain injury (TBI) affects about 475,000 children in the United States annually. Studies from the 1990s showed worse mortality in pediatric TBI patients not transferred to a pediatric trauma center (PTC), but did not examine mild pediatric TBI. Evidence-based guidelines used to identify children with clinically insignificant TBI who do not require head CT were developed by the Pediatric Emergency Care Applied Research Network (PECARN). However, which patients can be safely observed at a non-PTC is not directly addressed. METHODS: A systematic review of the literature was conducted, focusing on management of pediatric TBI and transfer decisions from 1990 to 2020. RESULTS: Pediatric TBI patients make up a great majority of preventable transfers and admissions, and comprise a significant portion of avoidable costs to the health care system. Majority of mild TBI patients admitted to a PTC following transfer do not require ICU care, surgical intervention, or additional imaging. Studies have shown that as high as 83% of mild pediatric TBI patients are discharged within 24 hrs. CONCLUSIONS: An evidence-based clinical practice algorithm was derived through synthesis of the data reviewed to guide transfer decision. The papers discussed in our systematic review largely concluded that transfer and admission was unnecessary and costly in pediatric patients with mild TBI who met the following criteria: blunt, no concern for NAT, low risk on PECARN assessment, or intermediate risk on PECARN with negative imaging or imaging with either isolated, nondisplaced skull fractures without ICH and/or EDH, or SDH <0.3 cm with no midline shift.

Paediatric NHS 111 Clinical Assessment Services pilot: an observational study.

OBJECTIVE: To determine the feasibility and impact of having paediatric clinicians working in the Clinical Assessment Services (CAS) within NHS 111, a national telephone advice service. DESIGN: Observational study. SETTING: Six NHS 111 providers across England with CAS where volunteer paediatric clinicians (doctors and advanced nurse practitioners (ANPs)) worked between May and December 2020. A data reporting framework was used to compare the outcomes of calls taken by paediatric vs non-paediatric clinicians. PATIENTS: Under 16-year-olds prompting calls to NHS 111 over the study period. MAIN OUTCOME MEASURES: The disposition (final outcome of calls) taken by paediatric versus non-paediatric clinicians, paediatric clinicians' and patient experience. RESULTS: 70 paediatric clinicians (66 doctors and 4 ANPs) worked flexible shifts in six NHS 111 providers' CAS over the study period: 2535 calls for under 16-year-olds were taken by paediatric clinicians and 137 008 by non-paediatric clinicians. Overall, disposition rates differed significantly between the calls taken by paediatric versus (vs) non-paediatric clinicians: 69% vs 43% were advised on self-care only, 13% vs 18% to attend emergency departments (EDs), 13% vs 29% to attend primary care, 1% vs 4% to receive an urgent ambulance call out and 4% vs 6% referred to another health service, respectively. When compared with recent (all age) national whole data sets, the feedback from calls taken by paediatricians noted a greater proportion of patients/carers reporting that their problem was fully resolved (92% vs 27%). CONCLUSIONS: Introducing paediatric specialists into NHS 111 CAS is likely to increase self-care dispositions, and reduce onward referrals to primary care, ED and ambulances. Future work will evaluate the impact of a national paediatric clinical assessment service to which specific case types are streamed.

COVID-19 pandemic modifies temperature and heat-related illness ambulance transport association in Japan: a nationwide observational study.

BACKGROUND: During the COVID-19 pandemic, several illnesses were reduced. In Japan, heat-related illnesses were reduced by 22% compared to pre-pandemic period. However, it is uncertain as to what has led to this reduction. Here, we model the association of maximum temperature and heat-related illnesses in the 47 Japanese prefectures. We specifically examined how the exposure and lag associations varied before and during the pandemic. METHODS: We obtained the summer-specific, daily heat-related illness ambulance transport (HIAT), exposure variable (maximum temperature) and covariate data from relevant data sources. We utilized a stratified (pre-pandemic and pandemic), two-stage approach. In each stratified group, we estimated the 1) prefecture-level association using a quasi-Poisson regression coupled with a distributed lag non-linear model, which was 2) pooled using a random-effects meta-analysis. The difference between pooled pre-pandemic and pandemic associations was examined across the exposure and the lag dimensions. RESULTS: A total of 321,655 HIAT cases was recorded in Japan from 2016 to 2020. We found an overall reduction of heat-related risks for HIAT during the pandemic, with a wide range of reduction (10.85 to 57.47%) in the HIAT risk, across exposure levels ranging from 21.69 °C to 36.31 °C. On the contrary, we found an increment in the delayed heat-related risks during the pandemic at Lag 2 (16.33%; 95% CI: 1.00, 33.98%). CONCLUSION: This study provides evidence of the impact of COVID-19, particularly on the possible roles of physical interventions and behavioral changes, in modifying the temperature-health association. These findings would have implications on subsequent policies or heat-related warning strategies in light of ongoing or future pandemics.

Linking Ambulance Trip and Emergency Department Surveillance Data on Opioid-Related Overdose, Massachusetts, 2017.

OBJECTIVES: Studies describing linkage of ambulance trips and emergency department (ED) visits of patients with opioid-related overdose (ORO) are limited. We linked records of patients experiencing ORO from ambulance trip and ED visit records in Massachusetts during April 1-June 30, 2017. METHODS: We estimated the positive predictive value of ORO-capturing definitions by examining the narratives and triage notes of a sample of OROs from each data source. Because of a lack of common unique identifiers, we deterministically linked OROs to records in the counter data set on date of birth, incident date, facility, and sex. To validate the linkage strategy, we compared ambulance trip narratives with ED triage notes and chief complaints for a sample of pairs. RESULTS: Of 3203 ambulance trips for ORO and 3046 ED visits for ORO, 82% and 63%, respectively, matched a record in the counter data set on date of birth, incident date, facility, and sex. In 200 randomly selected linked pairs from a final linked data set of 3006 paired records, only 5 (3%) appeared to be false matches. PRACTICE IMPLICATIONS: This exercise demonstrated the feasibility of linking ORO records between 2 data sets without a unique identifier. Future analyses of the linked data could produce insights not available from analyzing either data set alone. Linkage using 2 rapidly available data sets can actively inform the state's public health opioid overdose response and allow for de-duplicating counts of OROs treated by ambulance, in an ED, or both.

Time for a prehospital-modified sequential organ failure assessment score: An ambulance-Based cohort study.

BACKGROUND: To adapt the Sequential Organ Failure Assessment (SOFA) score to fit the prehospital care needs; to do that, the SOFA was modified by replacing platelets and bilirubin, by lactate, and tested this modified SOFA (mSOFA) score in its prognostic capacity to assess the mortality-risk at 2 days since the first Emergency Medical Service (EMS) contact. METHODS: Prospective, multicentric, EMS-delivery, ambulance-based, pragmatic cohort study of adults with acute diseases, referred to two tertiary care hospitals (Spain), between January 1st and December 31st, 2020. The discriminative power of the predictive variable was assessed through a prediction model trained using the derivation cohort and evaluated by the area under the curve (AUC) of the receiver operating characteristic (ROC) on the validation cohort. RESULTS: A total of 1114 participants comprised two separated cohorts recruited from 15 ambulance stations. The 2-day mortality rate (from any cause) was 5.9% (66 cases). The predictive validity of the mSOFA score was assessed by the calculation of the AUC of ROC in the validation cohort, resulting in an AUC of 0.946 (95% CI, 0.913-0.978, p < .001), with a positive likelihood ratio was 23.3 (95% CI, 0.32-46.2). CONCLUSIONS: Scoring systems are now a reality in prehospital care, and the mSOFA score assesses multiorgan dysfunction in a simple and agile manner either bedside or en route. Patients with acute disease and an mSOFA score greater than 6 points transferred with high priority by EMS represent a high early mortality group. TRIAL REGISTRATION: ISRCTN48326533, Registered Octuber 312,019, Prospectively registered (doi:https://doi.org/10.1186/ISRCTN48326533).

Relationship between different air pollutants and total and cause-specific emergency ambulance dispatches in Shanghai, China.

OBJECTIVE: Air pollutants play a crucial role in human health and disease. Emergency ambulance dispatch data have excellent potential for public and environmental health research. This study aimed at investigating the impact of short-term exposure to air pollutants on the emergency ambulance dispatches. METHODS: We used data on emergency ambulance dispatches in Shanghai Municipality, China, from April 1, 2016 to December 31, 2017. The association of the daily emergency ambulance dispatches with air pollutants including PM2.5 (particles ≤ 2.5 µm in aerodynamic diameter), PM10, O3, NO2 and SO2 was analyzed with the use of time-series analyses. RESULTS: A total of 310,825 emergency ambulance dispatches for acute illness occurred in Shanghai during the study period. An increase in PM2.5 by 10 µg/m3 at lag1 and lag2 was shown to increase the risk of emergency ambulance dispatches (RR for lag1 = 1.05, 95% CI 1.00-1.11, RR for lag2 = 1.07, 95% CI 1.01-1.12). PM10, NO2, and SO2 also showed significant associations with emergency ambulance dispatches in single-pollutant models. Cause-specific analyses showed an elevation in PM2.5 by 10 µg/m3 was associated with an increased risk of emergency ambulance dispatches related to respiratory diseases on the current day (lag0, RR 1.17, 95% CI 1.01-1.33), while the impact on emergency ambulance dispatches related to other diseases presented 1-3 days later. The other pollutants have the similar trend. CONCLUSIONS: Our findings show a strong relationship between ambient air pollutants and emergency ambulance dispatches. Our study contributes to the growing body of evidence describing the adverse health effects of ambient air pollution and will benefit ambulance services for early warning and effective ambulatory planning.

Sex differences in emergency medical services management of patients with myocardial infarction: analysis of routinely collected data for over 110,000 patients.

Emergency medical services (EMS) activation is an integral component in managing individuals with myocardial infarction (MI). EMS play a crucial role in early MI symptom recognition, prompt transport to percutaneous coronary intervention centres and timely administration of management. The objective of this study was to examine sex differences in prehospital EMS care of patients hospitalized with Ml using data from a retrospective population-based cohort study of linked health administrative data for people with a hospital diagnosis of MI in Australia (2001-18).

Hubei's Core Response Policies in the Early Stage of COVID-19.

BACKGROUND: This study is aimed at confirming the effectiveness of nonpharmaceutical interventions during the COVID-19 outbreak in Hubei, China. METHODS: The data are all from the epidemic information released by the National Health Commission of the People's Republic of China and the Health Commission of Hubei Province. We used the multivariable linear regression by the SPSS 19.0 software: the cumulative number of confirmed cases, the cumulative number of cured cases, and the number of daily severe cases were taken as dependent variables, and the six policies, including the Joint Prevention and Control Mechanism of the State Council, lockdown Wuhan city, the first-level response to public health emergencies, the expansion of medical insurance coverage to suspected patients, mobile cabin hospitals, and counterpart assistance in Hubei province, were gradually entered into multiple linear regression models as independent variables. RESULTS: The factors influencing the cumulative number of diagnosed cases ranged from large to small: mobile cabin hospitals and the expansion of medical insurance coverage to suspected patients. The factors influencing the cumulative number of cured cases ranged from large to small: counterpart support medical teams in Hubei province and mobile cabin hospitals. The factors influencing the number of daily severe cases ranged from large to small: mobile cabin hospitals and the expansion of medical insurance coverage to suspected patients. CONCLUSION: The mobile cabin hospital is a major reason for the successfully defeating COVID-19 in China. As COVID-19 pandemic spreads globally, the mobile cabin hospital is a successful experience in formulating policies to defeat COVID-19 for other countries in the outbreak phase.

Evaluation of the emergency medical system in an area following lifting of the mandatory evacuation order after the Fukushima Daiichi Nuclear Power Plant accident: A retrospective cross-sectional observational study.

ABSTRACT: Following the lifting of the evacuation order due to the Fukushima Daiichi Nuclear Power Plant accident, the medical demand and emergency medical system (EMS) in the area where the evacuation orders were lifted have not been well-investigated. This study aimed to evaluate the emergency transportation in such areas and compare the differences with areas that had minimal impact.Using the local EMS transport records, the characteristics of patients who were transferred by an EMS vehicle in Minamisoma City were collected between July 12, 2016 and July 31, 2018, and were compared between former evacuation zones and outside the evacuation zones in the city.The number of emergency transports in the study period in Minamisoma City were 325 cases in the area where the evacuation orders were lifted and 4307 cases in the other areas. The total EMS time was significantly longer in the area where the evacuation order was lifted (48 ±â€Š16 minutes) than in the other areas (40 ±â€Š15 minutes) (P < .001). In the analysis of each component of EMS times, the transport time, which is the time from departure from the patient's location to arrival at a hospital, was significantly longer in the former evacuation zone than in the other areas (16 ±â€Š9 vs 9 ±â€Š9 minutes, P < .001), suggesting that transport time contributed to the longer EMS response times.In areas where the evacuation orders were lifted, the EMS transport time was significantly longer than that in the area outside the former evacuation zone; correspondingly, the total EMS time significantly increased in the former evacuation zone. A plausible reason for this may be the closure of local medical facilities following the evacuation order after the nuclear accident.

The effects of a leaflet-based intervention, 'Hypos can strike twice', on recurrent hypoglycaemic attendances by ambulance services: A non-randomised stepped wedge study.

AIMS: We aimed to investigate the effect of an intervention in which ambulance personnel provided advice supported by a booklet-'Hypos can strike twice'-issued following a hypoglycaemic event to prevent future ambulance attendances. METHODS: We used a non-randomised stepped wedge-controlled design. The intervention was introduced at different times (steps) in different areas (clusters) of operation within East Midlands Ambulance Service NHS Trust (EMAS). During the first step (T0), no clusters were exposed to the intervention, and during the last step (T3), all clusters were exposed. Data were analysed using a general linear mixed model (GLMM) and an interrupted-time series analysis (ITSA). RESULTS: The study included 4825 patients (mean age 65.42 years, SD 19.42; 2,166 females) experiencing hypoglycaemic events attended by EMAS. GLMM indicated a reduction in the number of unsuccessful attendances (i.e., attendance followed by a repeat attendance) in the final step of the intervention when compared to the first (odds ratio OR: 0.50, 95%CI: 0.33-0.76, p = 0.001). ITSA indicated a significant decrease in repeat ambulance attendances for hypoglycaemia-relative to the pre-intervention trend (p = 0.008). Furthermore, the hypoglycaemia care bundle was delivered in 66% of attendances during the intervention period, demonstrating a significant level of practice change (p < 0.001). CONCLUSION: The 'Hypos can strike twice' intervention had a positive effect on reducing numbers of repeat attendances for hypoglycaemia and in achieving the care bundle. The study supports the use of information booklets by ambulance clinicians to prevent future attendances for recurrent hypoglycaemic events.

[COVID-Guide: an app for covid-19 triage and self-assessment.] / COVID-Guide: una app per il triage e l'autovalutazione della covid-19.

INTRODUCTION: The unprecedented covid-19 pandemic has shown the weaknesses of health systems and opened new spaces for e-health and telemedicine. Recent literature states that chatbots, if implemented effectively, could be useful tools for quickly sharing information, promoting healthy behaviors, and helping reduce the psychological burden of isolation. The aim of this project is to develop and test a secure and reliable computerized decision support system (CDSS) in web-app and evaluate its use, usability and its outputs in a pre-specified way. METHODS: A multidisciplinary team was recruited to plan and design, based on the SMASS medical CDSS, the scenarios of the COVID-Guide web-app, a self-triage system for patients with suspected covid-19. The output data for the period May-September 2020 from Germany were analyzed. RESULTS: During the period under review, the total number of consultations in Germany was 96,012. 3,415 (3.56%) consultations indicated the need for immediate evaluation, by activating the emergency service (calling an ambulance) - 1,942, equal to 2.02% - or by advising the patient to go to hospital - 1,743, equal to 1.54%. CONCLUSIONS: Data seems to show good usability and a consistent number of consultations carried out. Regular use of COVID-Guide could help collect epidemiological data on the spread of (suspected) covid-19 cases, easily and quickly available in all countries where the tool will be used. Using the SSDC could help reduce the load on operators. Furthermore, the use of anonymous and geolocatable clinical data together with the generation of alerts and indicators produced by COVID-Guide could become a useful tool for epidemiological surveillance in the future phases of the pandemic (Telemedical Syndromic Surveillance).

Effect of age, gender, and time of day on pain-to-call times in patients with acute ST-segment elevation myocardial infarction: the CLOC'AGE study. / Efecto de la edad, el sexo y el momento del día en el tiempo hasta el aviso a emergencias en pacientes con infarto agudo de miocardio con elevación del segmento ST. Estudio CLOC'AGE.

BACKGROUND: The time lapse between onset of symptoms and a call to an emergency dispatch center (pain-to-call time) is a critical prognostic factor in patients with chest pain. It is therefore important to identify factors related to delays in calling for help. OBJECTIVES: To analyze whether age, gender, or time of day influence the pain-to-call delay in patients with acute STsegment elevation myocardial infarction (STEMI). MATERIAL AND METHODS: Data were extracted from a prospective registry of STEMI cases managed by 39 mobile intensive care ambulance teams before hospital arrival within 24 hours of onset in our region, the greater metropolitan area of Paris, France. We analyzed the relation between pain-to-call time and the following factors: age, gender, and the time of day when symptoms appeared. We also assessed the influence of pain-to-call time on the rate of prehospital decisions to implement reperfusion therapy. RESULTS: A total of 24 662 consecutive patients were included; 19 291 (78%) were men and 4371 (22%) were women. The median age was 61 (interquartile range, 52-73) years (men, 59 [51-69] years; women, 73 [59-83] years; P .0001). The median pain-to-call time was 60 (24-164) minutes (men, 55 [23-150] minutes; women, 79 [31-220] minutes; P .0001). The delay varied by time of day from a median of 40 (17-101) minutes in men between 5 pm and 6 pm to 149 (43-377) minutes in women between 2 am and 3 am. The delay was longer in women regardless of time of day and increased significantly with age in both men and women (P .001). A longer pain-to-call time was significantly associated with a lower rate of implementation of myocardial reperfusion (P .001). CONCLUSION: Pain-to-call delays were longer in women and older patients, especially at night. These age and gender differences identify groups that would benefit most from health education interventions.

INTRODUCCION: En el dolor torácico, el tiempo desde el inicio de los síntomas hasta el aviso al sistema de emergencias (TAE) es un factor pronóstico decisivo. Es necesario conocer los factores que pueden influir en su duración. OBJETIVO: Analizar el efecto de la edad, el sexo y el momento del día en el TAE en pacientes con infarto agudo de miocardio con elevación del segmento ST (IAMEST). METODO: Se analizaron los datos de un registro regional prospectivo que incluye a todos los pacientes con IAMEST y 24 horas de evolución atendidos por 39 equipos de ambulancias de soporte vital avanzado en un entorno prehospitalario en el área metropolitana de París, Francia. Se analizó el TAE en relación con la edad, el sexo y el momento de aparición de los síntomas. Se valoró la influencia del TAE en la decisión prehospitalaria de tratamiento de reperfusión. RESULTADOS: Se incluyeron 24.662 pacientes consecutivos, de los cuales 19.291 (78%) eran hombres; la edad mediana fue de 61 años (RIC 52-73); 59 (51-69) en hombres y 73 (59-83) en mujeres (p 0,0001). El TAE fue de 60 minutos (24-164); 55 (23-150) minutos en hombres y 79 (31-220) minutos en mujeres (p 0,0001), y oscilaba entre 40 (17-101) minutos en hombres entre las 17:00 y las 18:00 y 149 (43-377) en mujeres entre las 02:00 y las 03:00. Independientemente de la hora de aparición del dolor, el TAE fue mayor en mujeres, y aumentó con la edad, tanto en hombres como en mujeres (p 0,001). El TAE prolongado se asoció con un descenso significativo en la decisión prehospitalaria de tratamiento de reperfusión (p 0,001). CONCLUSIONES: El intervalo de TAE fue más largo en mujeres y pacientes mayores, especialmente por la noche. Estos resultados permiten identificar los grupos de pacientes que más se beneficiarían de medidas de educación sanitaria.

Patient compliance with NHS 111 advice: Analysis of adult call and ED attendance data 2013-2017.

The NHS 111 telephone advice and triage service is a vital part of the management of urgent and emergency care (UEC) services in England. Demand for NHS 111 advice has increased since its introduction in 2013, and the service is of particular importance in light of the current pandemic and resulting increased demand for emergency care. Currently, little is known about the effectiveness of NHS 111 in terms of the appropriateness of the advice given, or about the compliance of patients with that advice. We aimed to address this issue by analysing a large linked routine dataset of all NHS 111 calls (n = 3,631,069) and subsequent emergency department (ED) attendances made in the Yorkshire & Humber region from March 2013-March 2017. We found that many patients do not comply with advice, with 11% (n = 289,748) of patients attending ED when they are advised to self-care or seek primary care. We also found that a considerable number of these patients are further classed as urgent (88%, n = 255,931) and a substantial minority (37%, 106,207) are subsequently admitted to hospital. Further, many patients who are sent an ambulance or told to attend ED are classed as non-urgent upon attending ED (9%, n = 42,372). This research suggests that the level at which NHS 111 is currently triaging results in many hundreds of thousands of mis-triaged cases annually. Additionally, patients frequently do not comply with the advice they receive. This has implications for understanding the accuracy and efficiency of triaging systems.

Time consumption for non-conveyed patients within emergency medical services (EMS): A one-year prospective descriptive and comparative study in a region of Sweden.

INTRODUCTION: Over time, ambulance assignments have increased in number both nationally and internationally, and a substantial proportion of patients encountered by emergency medical services are assessed as not being in need of services. Non-conveying patients has become a way for emergency medical services clinicians to meet this increasing workload. It has been shown that ambulances can be made available sooner if patients are non-conveyed, but there is no previous research describing the factors that influence the non-conveyance time. STUDY OBJECTIVE: To describe ambulance time consumption and the factors that influence time consumption when patients are non-conveyed. METHODS: A prospective observational review of 2615 non-conveyed patients' ambulance and hospital medical records was conducted using a consecutive sample. Data were analysed with the Kruskal-Wallis test, Mann-Whitney U test and Spearman's rank correlation (rho) for linear correlations. RESULTS: The mean NC time for all ambulance assignments during the study period was 26 minutes, with a median of 25 minutes. The shortest NC time was 4 minutes, and the longest NC time was 73 minutes. NC times were significantly faster during the day than at night. CONCLUSIONS: This study provides new knowledge about time consumption when patients are non-conveyed. Although there are time differences when patients are non-conveyed, the differences observed in this study are small and not of clinical value. Ambulances will most often become available sooner if patients are non-conveyed. Although patients might be eligible for non-conveyance, policy-makers might have to decide when it is appropriate to non-convey patients from time, resource, patient safety and patient-centred care perspectives.