Advising and limiting medical treatment during phone consultation: a prospective multicentre study in HEMS settings.

BACKGROUND: We investigated paramedic-initiated consultation calls and advice given via telephone by Helicopter Emergency Medical Service (HEMS) physicians focusing on limitations of medical treatment (LOMT). METHODS: A prospective multicentre study was conducted on four physician-staffed HEMS bases in Finland during a 6-month period. RESULTS: Of all 6115 (mean 8.4/base/day) paramedic-initiated consultation calls, 478 (7.8%) consultation calls involving LOMTs were included: 268 (4.4%) cases with a pre-existing LOMT, 165 (2.7%) cases where the HEMS physician issued a new LOMT and 45 (0.7%) cases where the patient already had an LOMT and the physician further issued another LOMT. The most common new limitation was a do-not-attempt cardiopulmonary resuscitation (DNACPR) order (n = 122/210, 58%) and/or 'not eligible for intensive care' (n = 96/210, 46%). In 49 (23%) calls involving a new LOMT, termination of an initiated resuscitation attempt was the only newly issued LOMT. The most frequent reasons for issuing an LOMT during consultations were futility of the overall situation (71%), poor baseline functional status (56%), multiple/severe comorbidities (56%) and old age (49%). In the majority of cases (65%) in which the HEMS physician issued a new LOMT for a patient without any pre-existing LOMT, the physician felt that the patient should have already had an LOMT. The patient was in a health care facility or a nursing home in half (49%) of the calls that involved issuing a new LOMT. Access to medical records was reported in 29% of the calls in which a new LOMT was issued by an HEMS physician. CONCLUSION: Consultation calls with HEMS physicians involving patients with LOMT decisions were common. HEMS physicians considered end-of-life questions on the phone and issued a new LOMT in 3.4% of consultations calls. These decisions mainly concerned termination of resuscitation, DNACPR, intubation and initiation of intensive care.

Cerebral oxygen desaturation events during and functional outcomes after prehospital anaesthesia: A prospective pilot study.

BACKGROUND: During prehospital anaesthesia, oxygen delivery to the brain might be inadequate to match the oxygen consumption, with unknown long-term functional outcomes. We aimed to evaluate the feasibility of monitoring cerebral oxygenation during prehospital anaesthesia and determining the long-term outcomes. METHODS: We performed a prospective observational feasibility study in two helicopter emergency medical services units. Frontal lobe regional oxygen saturation (rSO2 ) of adult patients undergoing prehospital anaesthesia was monitored with near-infrared spectroscopy (NIRS) by a Nonin H500 oximeter. The outcome was evaluated with a modified Rankin Scale (mRS) at 30 days and 1 year. Health-related quality of life (HRQoL) was measured with a 15D instrument at 1 year. RESULTS: Of 101 patients enrolled, 83 were included. The mean baseline rSO2 was 79% (73-84). Desaturation for at least 5 min to rSO2 below 50% or a decrease of 10% from baseline occurred in four (5%, 95% CI 2%-12%) and 19 (23%, 95% CI 15-93) patients. At 1 year, 32 patients (53%, 95% CI 41-65) achieved favourable neurological outcomes. The median 15D score was 0.889 (Q1-Q3, 0.796-0.970). CONCLUSION: Monitoring cerebral oxygenation with a hand-held oximeter during prehospital anaesthesia and collecting data on functional outcomes and HRQoL are feasible. Only half of the patients achieved a favourable functional outcome. The effects of cerebral oxygenation on outcomes during prehospital critical care need to be assessed in future studies.

Short-term and long-term survival in critical patients treated by helicopter emergency medical services in Finland: a registry study of 36 715 patients.

OBJECTIVES: This study aimed to describe the short-term and long-term mortality of patients treated by prehospital critical care teams in Finland. DESIGN AND SETTING: We performed a registry-based retrospective study that included all helicopter emergency medical service (HEMS) dispatches in Finland from 1 January 2012 to 8 September 2019. Mortality data were acquired from the national Population Register Centre to calculate the standardised mortality ratio (SMR). PARTICIPANTS: All patients encountered by Finnish HEMS crews during the study period were included. MAIN OUTCOMES: Mortalities presented at 0 to 1 day, 2 to 30 days, 31 days to 1 year and 1 to 3 years for different medical reasons following the prehospital care. Patients were divided into four groups by age and categorised by gender. The SMR at 2 to 30 days, 31 days to 1 year and 1 to 3 years was calculated for the same groups. RESULTS: Prehospital critical care teams participated in the treatment of 36 715 patients, 34 370 of whom were included in the study. The cumulative all-cause mortality at 30 days was 27.5% and at 3 years was 36.5%. The SMR in different medical categories and periods ranged from 23.2 to 72.2, 18.1 to 22.4, 7.7 to 9.2 and 2.1 to 2.6 in the age groups of 0 to 17 years, 18 to 64 years, 65 to 79 years and ≥80 years, respectively. CONCLUSIONS: We found that the rate of mortality after a HEMS team provides critical care is high and remains significantly elevated compared with the normal population for years after the incident. The mortality is dependent on the medical reason for care and the age of the patient. The long-term overmortality should be considered when evaluating the benefit of prehospital critical care in the different patient groups.

Mortality and quality of care in Nordic physician-staffed emergency medical services.

BACKGROUND: Quality indicators (QI) for physician staffed emergency medical services (P-EMS) are necessary to improve service quality. Mortality can be considered the ultimate outcome QI. The process quality of care in P-EMS can be described by 15 response-specific QIs developed for these services. The most critical patients in P-EMS are presumably found among patients who die within 30 days after the P-EMS response. Securing high quality care for these patients should be a prioritized task in P-EMS quality improvement. Thus, the first aim of this study was to describe the 30-days survival in Nordic P-EMS as an expression of the outcome quality of care. The second aim was to describe the process quality of care as assessed by the 15 QIs, for patients who die within 30 days after the P-EMS response. METHODS: In this prospective observational study, P-EMSs in Finland, Sweden, Denmark, and Norway registered 30-days survival and scored the 15 QIs for their patients. The QI performance for patients who died within 30 days after the P-EMS response was assessed using established benchmarks for the applied QIs. Further, mean QI performance for the 30-days survivors and the 30-days non-survivors were compared using Chi-Square test for categorical variables and Mann-Whitney U test for continuous variables. RESULTS: We recorded 2808 responses in the study period. 30-days survival varied significantly between the four participating countries; from 89.0 to 76.1%. When assessing the quality of care for patients who die within 30 days after the P-EMS response, five out of 15 QIs met the established benchmarks. For nine out of 15 QIs, there was significant difference in mean scores between the 30 days survivors and non-survivors. CONCLUSION: In this study we have described 30-days survival as an outcome QI for P-EMS, and found significant differences between four Nordic countries. For patients who died within 30 days, the majority of the 15 QIs developed for P-EMS did not meet the benchmarks, indicating room for quality improvement. Finally, we found significant differences in QI performance between 30-days survivors and 30-days non-survivors which also might represent quality improvement opportunities.

Limiting treatment in pre-hospital care: A prospective, observational multicentre study.

BACKGROUND: Data are scarce on the withdrawal of life-sustaining therapies and limitation of care orders (LCOs) during physician-staffed Helicopter Emergency Medical Service (HEMS) missions. We investigated LCOs and the quality of information available when physicians made treatment decisions in pre-hospital care. METHODS: A prospective, nationwide, multicentre study including all Finnish physician-staffed HEMS bases during a 6-month study period. All HEMS missions where a patient had pre-existing LCOs and/or a new LCO were included. RESULTS: There were 335 missions with LCOs, which represented 5.7% of all HEMS missions (n = 5895). There were 181 missions with pre-existing LCOs, and a total of 170 new LCOs were issued. Usually, the pre-existing LCO was a do not attempt cardiopulmonary resuscitation order only (n = 133, 74%). The most frequent new LCO was 'termination of cardiopulmonary resuscitation' only (n = 61, 36%), while 'no intensive care' combined with some other LCO was almost as common (n = 54, 32%). When issuing a new LCO for patients who did not have any preceding LCOs (n = 153), in every other (49%) case the physicians thought that the patient should have already had an LCO. When the physician made treatment decisions, patients' background information from on-scene paramedics was available in 260 (78%) of the LCO missions, while patients' medical records were available in 67 (20%) of the missions. CONCLUSION: Making LCOs or treating patients with pre-existing LCOs is an integral part of HEMS physicians' work, with every twentieth mission involving LCO patients. The new LCOs mostly concerned withholding or withdrawal of cardiopulmonary resuscitation and intensive care.

The first seven years of nationally organized helicopter emergency medical services in Finland - the data from quality registry.

BACKGROUND: Helicopter Emergency Medical Services (HEMS) play an important role in prehospital care of the critically ill. Differences in funding, crew composition, dispatch criteria and mission profile make comparison between systems challenging. Several systems incorporate databases for quality control, performance evaluation and scientific purposes. FinnHEMS database was incorporated for such purposes following the national organization of HEMS in Finland 2012. The aims of this study are to describe information recorded in the database, data collection, and operational characteristics of Finnish HEMS during 2012-2018. METHODS: All dispatches of the six Finnish HEMS units recorded in the national database from 2012 to 2018 were included in this observational registry study. Five of the units are physician staffed, and all are on call 24/7. The database follows a template for uniform reporting in physician staffed pre-hospital services, exceeding the recommended variables of relevant guidelines. RESULTS: The study included 100,482 dispatches, resulting in 33,844 (34%) patient contacts. Variables were recorded with little or no missing data. A total of 16,045 patients (16%) were escorted by HEMS to hospital, of which 2239 (2%) by helicopter. Of encountered patients 4195 (4%) were declared deceased on scene. The number of denied or cancelled dispatches was 66,638 (66%). The majority of patients were male (21,185, 63%), and the median age was 57.7 years. The median American Society of Anesthesiologists Physical Scale classification was 2 and Eastern Cooperative Oncology Group performance class 0. The most common reason for response was trauma representing 26% (8897) of the patients, followed by out-of-hospital cardiac arrest 20% (6900), acute neurological reason excluding stroke 13% (4366) and intoxication and related psychiatric conditions 10% (3318). Blunt trauma (86%, 7653) predominated in the trauma classification. CONCLUSIONS: Gathering detailed and comprehensive data nationally on all HEMS missions is feasible. A national database provides valuable insights into where the operation of HEMS could be improved. We observed a high number of cancelled or denied missions and a low percentage of patients transported by helicopter. The medical problem of encountered patients also differs from comparable systems.

Testing quality indicators and proposing benchmarks for physician-staffed emergency medical services: a prospective Nordic multicentre study.

OBJECTIVES: A consensus study from 2017 developed 15 response-specific quality indicators (QIs) for physician-staffed emergency medical services (P-EMS). The aim of this study was to test these QIs for important characteristics in a real clinical setting. These characteristics were feasibility, rankability, variability, actionability and documentation. We further aimed to propose benchmarks for future quality measurements in P-EMS. DESIGN: In this prospective observational study, physician-staffed helicopter emergency services registered data for the 15 QIs. The feasibility of the QIs was assessed based on the comments of the recording physicians. The other four QI characteristics were assessed by the authors. Benchmarks were proposed based on the quartiles in the dataset. SETTING: Nordic physician-staffed helicopter emergency medical services. PARTICIPANTS: 16 physician-staffed helicopter emergency services in Finland, Sweden, Denmark and Norway. RESULTS: The dataset consists of 5638 requests to the participating P-EMSs. There were 2814 requests resulting in completed responses with patient contact. All QIs were feasible to obtain. The variability of 14 out of 15 QIs was adequate. Rankability was adequate for all QIs. Actionability was assessed as being adequate for 10 QIs. Documentation was adequate for 14 QIs. Benchmarks for all QIs were proposed. CONCLUSIONS: All 15 QIs seem possible to use in everyday quality measurement and improvement. However, it seems reasonable to not analyse the QI 'Adverse Events' with a strictly quantitative approach because of a low rate of adverse events. Rather, this QI should be used to identify adverse events so that they can be analysed as sentinel events. The actionability of the QIs 'Able to respond immediately when alarmed', 'Time to arrival of P-EMS', 'Time to preferred destination', 'Provision of advanced treatment' and 'Significant logistical contribution' was assessed as being poor. Benchmarks for the QIs and a total quality score are proposed for future quality measurements.

Defining a mission-based method to determine a HEMS unit's actual service area.

BACKGROUND: Geographical service areas are used as descriptive system indicators in Emergency Medical Service (EMS) related studies and reporting templates. The actual service area may differ significantly from administrative areas; this may lead to inaccuracy in determining indicator values, such as population or mission density, thus making it biased when comparing results between different areas and organizations. The aim of this study was to introduce a univocal, repeatable and easily adaptable method to determine the actual service area of a helicopter emergency medical service (HEMS) unit for statistical, quality measurement and research purposes using widely available geographical information (GIS) and statistical analysis tools. METHODS: The method was first tested with Tampere HEMS unit. All accepted missions in 2017 were extracted from FinnHEMS database (FHDB). We calculated distance from HEMS base to each accepted mission location. Missions were reordered based on the distance and 99th and 95th percentiles were calculated for mission distances. Convex hulls including 100, 99 and 95% of the missions, and the population and area covered by these missions, were then calculated. The method was repeated for all Finnish HEMS bases. RESULTS: Approximately 90% of Tampere HEMS unit's accepted missions took place within 100 km from the base. 10.9% of the missions occurred outside of the administrative service area. 95% convex hull areas are most in line with the everyday experience of where the units actually operate. In Tampere, the 95% convex hull area corresponds to 76,5% of the administrative area's population and to 89,8% of its area. Calculating the 95% convex hull areas for all Finnish HEMS units results in service areas that overlap at some points, and some areas of the country fall outside of all HEMS service areas. CONCLUSIONS: Administrative areas do not correspond to the actual service areas of HEMS units. The service area of a HEMS unit defined by administrative boundaries may differ significantly from actual operations. Using historical mission data to create a convex hull that incorporates mission locations could offer a standardized and comparable solution for determining actual HEMS unit service areas, which can be used for statistical comparison, quality measurement and system development.