Evidence map›Paper›PMID 29767795›Full record

SynthesisInternational journal for quality in health care : journal of the International Society for Quality in Health Care2019

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

Helge Haugland, Oddvar Uleberg, Pål Klepstad, Andreas Krüger, Marius Rehn

Abstract readSystematic Review
In one paragraph

Synthesis in International journal for quality in health care : journal of the International Society for Quality in Health Care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Defining a mission-based method to determine a HEMS unit's actual service area.Scandinavian journal of trauma, resuscitation and emergency medicine · 2019
    Article
  10. The Danish helicopter emergency medical service database: high quality data with great potential.Scandinavian journal of trauma, resuscitation and emergency medicine · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Helge HauglandDepartment of Research and Development, Norwegian Air Ambulance Foundation, Drøbak, Norway.
Oddvar UlebergDepartment of Research and Development, Norwegian Air Ambulance Foundation, Drøbak, Norway.
Pål KlepstadDepartment of Circulation and Medical Imaging, Medical Faculty, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
Andreas KrügerDepartment of Research and Development, Norwegian Air Ambulance Foundation, Drøbak, Norway.
Marius RehnDepartment of Research and Development, Norwegian Air Ambulance Foundation, Drøbak, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeQuality measurement of physician-staffed emergency medical services (P-EMS) is necessary to improve service quality. Knowledge and consensus on this topic are scarce, making quality measurement of P-EMS a high-priority research area. The aim of this review was to identify, describe and evaluate studies of quality measurement in P-EMS. DATA SOURCES: The databases of MEDLINE and Embase were searched initially, followed by a search for included article citations in Scopus. STUDY SELECTION: The study eligibility criteria were: (1) articles describing the use of one quality indicator (QI) or more in P-EMS, (2) original manuscripts, (3) articles published from 1 January 1968 until 5 October 2016. The literature search identified 4699 records. 4543 were excluded after reviewing title and abstract. An additional 129 were excluded based on a full-text review. The remaining 27 papers were included in the analysis. Methodological quality was assessed using an adapted critical appraisal tool. DATA EXTRACTION: The description of used QIs and methods of quality measurement was extracted. Variables describing the involved P-EMSs were extracted as well. RESULTS OF DATA SYNTHESIS: In the included papers, a common understanding of which QIs to use in P-EMS did not exist. Fifteen papers used only a single QI. The most widely used QIs were 'Adherence to medical protocols', 'Provision of advanced interventions', 'Response time' and 'Adverse events'.

conclusionThe review demonstrated a lack of shared understanding of which QIs to use in P-EMS. Moreover, papers using only one QI dominated the literature, thus increasing the risk of a narrow perspective in quality measurement. Future quality measurement in P-EMS should rely on a set of consensus-based QIs, ensuring a comprehensive approach to quality measurement.

Indexed as

Quality of Health CareEmergency Medical ServicesHumansOutcome and Process Assessment, Health CarePhysiciansQuality Indicators, Health Careemergency carequality improvementquality managementquality measurementsetting of care

Identifiers

PMID29767795
PMCPMC6387994

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.