Evidence map›Paper›PMID 31699084›Full record

ArticleBMC health services research2019

Workload and influencing factors in non-emergency medical transfers: a multiple linear regression analysis of a cross-sectional questionnaire study.

Johann Georg Keunecke, Christine Gall, Torsten Birkholz, Andreas Moritz, Christian Eiche, Johannes Prottengeier

Abstract read
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Johann Georg KeuneckeFaculty of Medicine, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany. georg.keunecke@fau.de.ORCID http://orcid.org/0000-0002-4851-9333
Christine GallDepartment of Medical Informatics, Biometry and Epidemiology, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Torsten BirkholzFaculty of Medicine, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Andreas MoritzFaculty of Medicine, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Christian EicheFaculty of Medicine, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Johannes ProttengeierFaculty of Medicine, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman workload is a key factor for system performance, but data on emergency medical services (EMS) are scarce. We investigated paramedics' workload and the influencing factors for non-emergency medical transfers. These missions make up a major part of EMS activities in Germany and are growing steadily in number.

methodsParamedics rated missions retrospectively through an online questionnaire. We used the NASA-Task Load Index (TLX) to quantify workload and asked about a variety of medical and procedural aspects for each mission. Teamwork was assessed by the Weller teamwork measurement tool (TMT). With a multiple linear regression model, we identified a set of factors leading to relevant increases or decreases in workload.

resultsA total of 194 non-emergency missions were analysed. Global workload was rated low (Mean = 27/100). In summary, 42.8% of missions were rated with a TLX under 20/100. TLX subscales revealed low task demands but a very positive self-perception of performance (Mean = 15/100). Teamwork gained high ratings (Mean TMT = 5.8/7), and good teamwork led to decreases in workload. Aggression events originating from patients and bystanders occurred frequently (n = 25, 12.9%) and increased workload significantly. Other factors affecting workload were the patient's body weight and the transfer of patients with transmittable pathogens.

conclusionThe workload during non-emergency medical transfers was low to very low, but performance perception was very positive, and no indicators of task underload were found. We identified several factors that led to workload increases. Future measures should attempt to better train paramedics for aggression incidents, to explore the usefulness of further technical aids in the transfer of obese patients and to reconsider standard operating procedures for missions with transmittable pathogens.

Indexed as

Allied Health PersonnelAdultCross-Sectional StudiesEmergency Medical ServicesFemaleGermanyHealth Services ResearchHumansLinear ModelsMaleMiddle AgedRetrospective StudiesSurveys and QuestionnairesWorkloadYoung AdultEmergency medical servicesHuman factorsParamedicsTeamworkWorkload

Identifiers

PMID31699084
PMCPMC6836439

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.