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Workflow interruption and nurses’ mental workload in electronic health record tasks: An observational study

BACKGROUND: Workflow interruptions are common in modern work systems. Electronic health record (EHR) tasks are typical tasks involving human–machine interactions in nursing care, but few studies have examined interruptions and nurses’ mental workload in the tasks. Therefore, this study aims to inves...

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Autores principales: Shan, Yawei, Shang, Jing, Yan, Yan, Ye, Xuchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9996908/
https://www.ncbi.nlm.nih.gov/pubmed/36890555
http://dx.doi.org/10.1186/s12912-023-01209-9
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author Shan, Yawei
Shang, Jing
Yan, Yan
Ye, Xuchun
author_facet Shan, Yawei
Shang, Jing
Yan, Yan
Ye, Xuchun
author_sort Shan, Yawei
collection PubMed
description BACKGROUND: Workflow interruptions are common in modern work systems. Electronic health record (EHR) tasks are typical tasks involving human–machine interactions in nursing care, but few studies have examined interruptions and nurses’ mental workload in the tasks. Therefore, this study aims to investigate how frequent interruptions and multilevel factors affect nurses’ mental workload and performance in EHR tasks. METHODS: A prospective observational study was conducted in a tertiary hospital providing specialist and sub-specialist care from June 1(st) to October 31(st), 2021. An observer documented nurses’ EHR task interruptions, reactions and performance (errors and near errors) during one-shift observation sessions. Questionnaires were administered at the end of the electronic health record task observation to measure nurses’ mental workload for the electronic health record tasks, task difficulty, system usability, professional experience, professional competency, and self-efficacy. Path analysis was used to test a hypothetical model. RESULTS: In 145 shift observations, 2871 interruptions occurred, and the mean task duration was 84.69 (SD 56.68) minutes per shift. The incidence of error or near error was 158, while 68.35% of errors were self-corrected. The total mean mental workload level was 44.57 (SD 14.08). A path analysis model with adequate fit indices is presented. There was a relationship among concurrent multitasking, task switching and task time. Task time, task difficulty and system usability had direct effects on mental workload. Task performance was influenced by mental workload and professional title. Negative affect mediated the path from task performance to mental workload. CONCLUSIONS: Nursing interruptions occur frequently in EHR tasks, come from different sources and may lead to elevated mental workload and negative outcomes. By exploring the variables related to mental workload and performance, we offer a new perspective on quality improvement strategies. Reducing harmful interruptions to decrease task time can avoid negative outcomes. Training nurses to cope with interruptions and improve competency in EHR implementation and task operation has the potential to decrease nurses’ mental workload and improve task performance. Moreover, improving system usability is beneficial to nurses to mitigate mental workload. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12912-023-01209-9.
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spelling pubmed-99969082023-03-10 Workflow interruption and nurses’ mental workload in electronic health record tasks: An observational study Shan, Yawei Shang, Jing Yan, Yan Ye, Xuchun BMC Nurs Research BACKGROUND: Workflow interruptions are common in modern work systems. Electronic health record (EHR) tasks are typical tasks involving human–machine interactions in nursing care, but few studies have examined interruptions and nurses’ mental workload in the tasks. Therefore, this study aims to investigate how frequent interruptions and multilevel factors affect nurses’ mental workload and performance in EHR tasks. METHODS: A prospective observational study was conducted in a tertiary hospital providing specialist and sub-specialist care from June 1(st) to October 31(st), 2021. An observer documented nurses’ EHR task interruptions, reactions and performance (errors and near errors) during one-shift observation sessions. Questionnaires were administered at the end of the electronic health record task observation to measure nurses’ mental workload for the electronic health record tasks, task difficulty, system usability, professional experience, professional competency, and self-efficacy. Path analysis was used to test a hypothetical model. RESULTS: In 145 shift observations, 2871 interruptions occurred, and the mean task duration was 84.69 (SD 56.68) minutes per shift. The incidence of error or near error was 158, while 68.35% of errors were self-corrected. The total mean mental workload level was 44.57 (SD 14.08). A path analysis model with adequate fit indices is presented. There was a relationship among concurrent multitasking, task switching and task time. Task time, task difficulty and system usability had direct effects on mental workload. Task performance was influenced by mental workload and professional title. Negative affect mediated the path from task performance to mental workload. CONCLUSIONS: Nursing interruptions occur frequently in EHR tasks, come from different sources and may lead to elevated mental workload and negative outcomes. By exploring the variables related to mental workload and performance, we offer a new perspective on quality improvement strategies. Reducing harmful interruptions to decrease task time can avoid negative outcomes. Training nurses to cope with interruptions and improve competency in EHR implementation and task operation has the potential to decrease nurses’ mental workload and improve task performance. Moreover, improving system usability is beneficial to nurses to mitigate mental workload. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12912-023-01209-9. BioMed Central 2023-03-09 /pmc/articles/PMC9996908/ /pubmed/36890555 http://dx.doi.org/10.1186/s12912-023-01209-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Shan, Yawei
Shang, Jing
Yan, Yan
Ye, Xuchun
Workflow interruption and nurses’ mental workload in electronic health record tasks: An observational study
title Workflow interruption and nurses’ mental workload in electronic health record tasks: An observational study
title_full Workflow interruption and nurses’ mental workload in electronic health record tasks: An observational study
title_fullStr Workflow interruption and nurses’ mental workload in electronic health record tasks: An observational study
title_full_unstemmed Workflow interruption and nurses’ mental workload in electronic health record tasks: An observational study
title_short Workflow interruption and nurses’ mental workload in electronic health record tasks: An observational study
title_sort workflow interruption and nurses’ mental workload in electronic health record tasks: an observational study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9996908/
https://www.ncbi.nlm.nih.gov/pubmed/36890555
http://dx.doi.org/10.1186/s12912-023-01209-9
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