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

Abstract Background Human 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 a...

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Main Authors: Johann Georg Keunecke, Christine Gall, Torsten Birkholz, Andreas Moritz, Christian Eiche, Johannes Prottengeier
Format: Article
Language:English
Published: BMC 2019-11-01
Series:BMC Health Services Research
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12913-019-4638-4
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spelling doaj-2ec34f85386c438c9a647e3fbd3493f82020-11-25T04:06:09ZengBMCBMC Health Services Research1472-69632019-11-0119111110.1186/s12913-019-4638-4Workload and influencing factors in non-emergency medical transfers: a multiple linear regression analysis of a cross-sectional questionnaire studyJohann Georg Keunecke0Christine Gall1Torsten Birkholz2Andreas Moritz3Christian Eiche4Johannes Prottengeier5Faculty of Medicine, Friedrich-Alexander University Erlangen-NurembergDepartment of Medical Informatics, Biometry and Epidemiology, Friedrich-Alexander University Erlangen-NurembergFaculty of Medicine, Friedrich-Alexander University Erlangen-NurembergFaculty of Medicine, Friedrich-Alexander University Erlangen-NurembergFaculty of Medicine, Friedrich-Alexander University Erlangen-NurembergFaculty of Medicine, Friedrich-Alexander University Erlangen-NurembergAbstract Background Human 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. Methods Paramedics 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. Results A 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. Conclusion The 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.http://link.springer.com/article/10.1186/s12913-019-4638-4Emergency medical servicesHuman factorsParamedicsTeamworkWorkload
collection DOAJ
language English
format Article
sources DOAJ
author Johann Georg Keunecke
Christine Gall
Torsten Birkholz
Andreas Moritz
Christian Eiche
Johannes Prottengeier
spellingShingle Johann Georg Keunecke
Christine Gall
Torsten Birkholz
Andreas Moritz
Christian Eiche
Johannes Prottengeier
Workload and influencing factors in non-emergency medical transfers: a multiple linear regression analysis of a cross-sectional questionnaire study
BMC Health Services Research
Emergency medical services
Human factors
Paramedics
Teamwork
Workload
author_facet Johann Georg Keunecke
Christine Gall
Torsten Birkholz
Andreas Moritz
Christian Eiche
Johannes Prottengeier
author_sort Johann Georg Keunecke
title Workload and influencing factors in non-emergency medical transfers: a multiple linear regression analysis of a cross-sectional questionnaire study
title_short Workload and influencing factors in non-emergency medical transfers: a multiple linear regression analysis of a cross-sectional questionnaire study
title_full Workload and influencing factors in non-emergency medical transfers: a multiple linear regression analysis of a cross-sectional questionnaire study
title_fullStr Workload and influencing factors in non-emergency medical transfers: a multiple linear regression analysis of a cross-sectional questionnaire study
title_full_unstemmed Workload and influencing factors in non-emergency medical transfers: a multiple linear regression analysis of a cross-sectional questionnaire study
title_sort workload and influencing factors in non-emergency medical transfers: a multiple linear regression analysis of a cross-sectional questionnaire study
publisher BMC
series BMC Health Services Research
issn 1472-6963
publishDate 2019-11-01
description Abstract Background Human 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. Methods Paramedics 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. Results A 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. Conclusion The 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.
topic Emergency medical services
Human factors
Paramedics
Teamwork
Workload
url http://link.springer.com/article/10.1186/s12913-019-4638-4
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