Patient influx to emergency departments at two Norwegian university hospitals from 2012-21. / Pasienttilstrøyming til akuttmottak ved to norske universitetssjukehus i 2012­21.

Background: The increase in patient visits to emergency departments is a global challenge. We wished to survey patient inflow and patient composition over time at two Norwegian university hospitals. Material and method: A retrospective, descriptive study of patient contacts (patients ≥ 16 years of age) in the emergency departments of Haukeland University Hospital, Bergen, and St Olav's Hospital, Trondheim University Hospital in the period 2012-21. Data were retrieved from patient records and the patient administration system. Result: A total of 585 780 patient contacts were included. The number of patient contacts in the emergency departments was 30 696 in 2012 and 40 396 in 2021 at Haukeland University Hospital, and 18 967 in 2012 and 28 822 in 2021 at St Olav's Hospital. The largest increase during the study period appeared to be in the age group 67-79 years, with an increase of 57 % (from 6 190 to 9 691) at Haukeland University Hospital, and 77 % (from 3 849 to 6 817) at St Olav's Hospital. The proportion of patient contacts that ended in hospitalisation was 82 % in 2012 and 74 % in 2021 at Haukeland University Hospital, and 87 % in 2012 and 61 % in 2021 at St Olav's Hospital. Of the patients that were admitted, the median age was 65 years, while the median age of those who were discharged from the emergency department was 48 years at Haukeland University Hospital and 52 years at St Olav's Hospital. Interpretation: The study showed an increase in patient contacts in the emergency departments at Haukeland University Hospital and St Olav's Hospital over a period of ten years. The number of older adults in the population will continue to increase in the years ahead, and the need for urgent care assessments will correspondingly increase. It is important that the health services are aware of changes in patient influx and patient composition in order to ensure patient safety and the working environment of emergency departments in the future.

Intoxication cases in the Emergency Department at a Norwegian University Hospital 2019-20. / Pasienter med forgiftning vurdert ved akuttmottaket på St. Olavs hospital 2019­20.

Background: Acute intoxication is a common chief complaint in emergency medicine, but there is a lack of up-to-date studies from the emergency departments in Norway on the incidence and prevalence of various toxic substances. The aim of this study was to survey acute intoxications at the emergency department of St Olav's Hospital, Trondheim. Material and method: In this review of patient records, we used data from the emergency department at St Olav's Hospital in Trondheim in the period 1  January 2019-31  December 2020. All cases with 'acute intoxication' as the reason for the emergency department visit were included. Results: In a patient population of 836 unique patients, there were a total of 1423 intoxications, of which 168/836 patients (20.0 %) had more than one intoxication episode in the period. The median age was 31 years (interquartile range 22-47), and 395/836 (47.2 %) of the patients were women. Combined drug intoxication constituted 666/1423 (46.8 %) of the cases, and the most frequent intoxications were from ethanol: 802/1423 (56.4 %); benzodiazepines 314/1423 (24.0 %); and opioids 243/1423 (17.1 %). Altogether, 1146/1423 (80.5 %) incidents resulted in hospital admission. There were no deaths during their hospital stay. Interpretation: Emergency departments must be prepared to manage patients who have taken various poisoning agents. The antidotes must be available, and it must be possible to perform interventions.

Mortality rates in Norwegian HEMS-a retrospective analysis from Central Norway.

BACKGROUND: Helicopter Emergency Medical Services (HEMS) provide rapid and specialized care to critically ill or injured patients. Norwegian HEMS in Central Norway serves an important role in pre-hospital emergency medical care. To grade the severity of patients, HEMS uses the National Advisory Committee for Aeronautics' (NACA) severity score. The objective of this study was to describe the short- and long term mortality overall and in each NACA-group for patients transported by HEMS Trondheim using linkage of HEMS and hospital data. METHODS: The study used a retrospective cohort design, aligning with the STROBE recommendations. Patient data from Trondheim HEMS between 01.01.2017 and 31.12.2019 was linked to mortality data from a hospital database and analyzed. Kaplan Meier plots and cumulative mortality rates were calculated for each NACA group at day one, day 30, and one year and three years after the incident. RESULTS: Trondheim HEMS responded to 2224 alarms in the included time period, with 1431 patients meeting inclusion criteria for the study. Overall mortality rates at respective time points were 10.1% at day one, 13.4% at 30 days, 18.5% at one year, and 22.3% at three years. The one-year cumulative mortality rates for each NACA group were as follows: 0% for NACA 1 and 2, 2.9% for NACA 3, 10.1% for NACA 4, 24.7% for NACA 5 and 49.5% for NACA 6. Statistical analysis with a global log-rank test indicated a significant difference in survival outcomes among the groups (p < 2⋅10- 16). CONCLUSION: Among patients transported by Trondheim HEMS, we observed an incremental rise in mortality rates with increasing NACA scores. The study further suggests that a one-year follow-up may be sufficient for future investigations into HEMS outcomes.

Using machine learning to assess the extent of busy ambulances and its impact on ambulance response times: A retrospective observational study.

BACKGROUND: Ambulance response times are considered important. Busy ambulances are common, but little is known about their effect on response times. OBJECTIVE: To assess the extent of busy ambulances in Central Norway and their impact on ambulance response times. DESIGN: This was a retrospective observational study. We used machine learning on data from nearby incidents to assess the probability of up to five different ambulances being candidates to respond to a medical emergency incident. For each incident, the probability of a busy ambulance was estimated by summing the probabilities of candidate ambulances being busy at the time of the incident. The difference in response time that may be attributable to busy ambulances was estimated by comparing groups of nearby incidents with different estimated busy probabilities. SETTING: Medical emergency incidents with ambulance response in Central Norway from 2013 to 2022. MAIN OUTCOME MEASURES: Prevalence of busy ambulances and differences in response times associated with busy ambulances. RESULTS: The estimated probability of busy ambulances for all 216,787 acute incidents with ambulance response was 26.7% (95% confidence interval (CI) 26.6 to 26.9). Comparing nearby incidents, each 10-percentage point increase in the probability of a busy ambulance was associated with a delay of 0.60 minutes (95% CI 0.58 to 0.62). For incidents in rural and urban areas, the probability of a busy ambulance was 21.6% (95% CI 21.5 to 21.8) and 35.0% (95% CI 34.8 to 35.2), respectively. The delay associated with a 10-percentage point increase in busy probability was 0.81 minutes (95% CI 0.78 to 0.84) and 0.30 minutes (95% CI 0.28 to 0.32), respectively. CONCLUSION: Ambulances were often busy, which was associated with delayed ambulance response times. In rural areas, the probability of busy ambulances was lower, although the potentially longer delays when ambulances were busy made these areas more vulnerable.