Quality measurement in physician-staffed emergency medical services: a systematic literature review

Feasibility of quality indicators on prehospital advanced airway management in a physician-staffed emergency medical service: survey-based assessment of the provider point of view

OBJECTIVE

We aimed to determine the feasibility of quality indicators (QIs) for prehospital advanced airway management (PAAM) from a provider point of view.

DESIGN

The study is a survey based feasibility assessment following field testing of QIs for PAAM.

SETTING

The study was performed in two physician staffed emergency medical services in Switzerland.

PARTICIPANTS

42 of the 44 emergency physicians who completed at least one case report form (CRF) dedicated to the collection of the QIs on PAAM between 1 January 2019 and 31 December 2021 participated in the study.

INTERVENTION

The data required to calculate the 17 QIs was systematically collected through a dedicated electronic CRF.

PRIMARY AND SECONDARY OUTCOME MEASURES

Primary outcomes were provider-related feasibility criteria: relevance and acceptance of the QIs, as well as reliability of the data collection. Secondary outcomes were effort to collect specific data and to complete the CRF.

RESULTS

Over the study period, 470 CRFs were completed, with a median of 11 per physician (IQR 4-17; range 1-48). The median time to complete the CRF was 7 min (IQR 3-16) and was considered reasonable by 95% of the physicians. Overall, 75% of the physicians assessed the set of QIs to be relevant, and 74% accepted that the set of QIs assessed the quality of PAAM. The reliability of data collection was rated as good or excellent for each of the 17 QIs, with the lowest rated for the following 3 QIs: duration of preoxygenation, duration of laryngoscopy and occurrence of desaturation during laryngoscopy.

CONCLUSIONS

Collection of QIs on PAAM appears feasible. Electronic medical records and technological solutions facilitating automatic collection of vital parameters and timing during the procedure could improve the reliability of data collection for some QIs. Studies in other services are needed to determine the external validity of our results.

Complementary and Alternative Medicines in Parkinson's Disease

Epidemiological studies reviewed in 2016, suggest that 6.1 million people in the world had PD. There is currently no cure for PD. For now, currently, the treatment of PD includes drugs, general measures to control symptoms (ie, physical and occupational therapy), and surgery. Because dysfunction of the basal ganglia system for dopamine depletion occurs in the pathophysiology of PD, the key therapeutic strategy is the use of drugs that increase the amount of dopamine in the affected brain areas. PD is a progressive disease, despite pharmacotherapy or surgical treatments. The progression of symptoms and movement disorders in PD is so severe that patients resort to complementary and alternative medicine (CAM), even without knowing their effectiveness and adverse reactions.

Static Rope Rescue Operations in Western Norway: A Retrospective Analysis of 141 Missions

INTRODUCTION

The Norwegian national standard for rescuers describes medical and rescue requirements for helicopter emergency medical services (HEMS) technical crew members, but there is a lack of scientific data supporting these requirements and their safety relevance. The study aims to analyze the rescue profile of Norwegian HEMS static rope human external cargo operations, emphasizing terrain challenges and additional safety measures utilized on-site.

METHODS

We conducted a retrospective descriptive analysis of static rope missions performed in daylight by 3 HEMS bases in Western Norway in the period 2015 to 2019. The analysis measures evacuation methods, terrain, on-site safety measures, and medical treatment.

RESULTS

Out of 8352 primary HEMS and search and rescue missions, a total of 141 (2%) static rope missions were performed by the 3 HEMS bases in Western Norway. The most commonly used evacuation method was triangle harness (62%) and a static rope length of 30 m (81%). Ninety-two (65%) missions were completed in simple terrain, 38 (27%) in challenging terrain, and 11 (8%) in complex terrain. There were no reported accidents, but a small number of adverse events were registered. The most frequent medical intervention administered on-site was pain management, followed by spinal immobilization.

CONCLUSIONS

Thirty-five percent of the static rope missions performed by HEMS in Western Norway were completed in challenging or complex terrain, requiring additional safety measures on-site. The most common safety measure needed was the ability to operate in a mountain or alpine environment. Our findings support the safety relevance of a national standard for rescuers.

Developing Quality Indicators for Helicopter Emergency Medical Services Coordination in Norwegian Emergency Medical Communication Centrals: A Consensus Process

OBJECTIVE

Efforts to optimize the use, availability, and safety of helicopter emergency medical services (HEMS) is important. A lack of consistent and comprehensive flight dispatch procedures and a lack of use of safety technology are recurring safety problems. Reports after several major incidents pointed toward a possible gain by coordinating Norwegian HEMS from regional emergency medical communication centrals. Our objective was to develop and implement relevant quality indicators before such implementation in central Norway.

METHODS

We recruited an expert panel of 24 persons representing Norwegian health authorities, emergency medical communication centrals, and HEMS bases and performed a 3-step e-mail-based Delphi process to develop relevant quality indicators. Each indicator was assessed according to their feasibility, rankability, actionability, and variability. To reach a consensus, a median score of 5 or more on a 6-point Likert scale in step 3 was needed.

RESULTS

A total of 61 quality indicators were proposed. Of the 14 indicators that reached a consensus, 12 of these were considered process indicators, and 2 were bordering to outcome indicators.

CONCLUSION

We applied a Delphi process method to develop quality indicators for HEMS coordination and flight following. An experienced and heterogeneous expert panel suggested and reached a consensus on which quality indicators should be applied.

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.

The Danish helicopter emergency medical service database: high quality data with great potential

Background

The Danish Helicopter Emergency Medical Service (HEMS) is part of the Danish pre-hospital response offering advanced patient care on scene and during rapid transport to definitive care.

Monitoring HEMS performance and the quality of critical care has high national as well as international priority underlining the need for research in this field.

The data quality of the Danish HEMS database is unknown. Furthermore, a set of quality indicators (QI) developed by an international collaboration group (EQUIPE) potentially for use in physician-staffed EMS, has recently been presented.

The aim of the current study was to present the design and data quality of the Danish helicopter database, and to evaluate the coverage of available variables in the database according to the QIs proposed.

Method

The study included all helicopter dispatches between October 1st 2014 and April 30th 2018.

The database layout and data entering procedure, as well as the key variables and data completeness were described. Furthermore, missing data and misclassifications were addressed.

Lastly, the 26 QIs proposed by the EQUIPE-collaboration were evaluated for coverage in the HEMS database.

Results

A total of 13,392 missions were included in the study. The database includes a broad spectrum of mission- and patient-specific data related to the pre-hospital pathway of acutely ill or injured patients in a national coverage. Missing data for the majority of variables is less than 6.5%. The percentage of completed report forms has increased over time and reached 99.9% in 2018.

Misclassification were observed for 294 patients in the study period corresponding to 3,7%.

Less than half of the QIs proposed by the EQUIPE-collaboration group were directly available from the database.

Conclusions

Helicopter Emergency Medical Services in Denmark are a new and sparsely investigated health care provider. The database contains nearly all missions dispatched by the five regional Emergency Medical Dispatch Centres. Generally, the data quality is considered high with great potential for future research.

Potential quality indicators as proposed by the EQUIPE-collaboration group could inspire the configuration and design of the next version of Hemsfile creating an even more solid basis for research and quality improvement.

Electronic supplementary material

The online version of this article (10.1186/s13049-019-0615-5) contains supplementary material, which is available to authorized users.