Multitasking in postanesthesia care unit following nurse interruptions, an analysis of the causes and consequences using classification tree: an observational prospective study
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BACKGROUND: Postanesthesia Care Unit (PACU) is an environment associated with an important workload which is susceptible to lead to task interruption (TI), leading to task-switching or concurrent multitasking. The objective of the study was to determine the predictors of the reaction of the nurses facing TI and assess those who lead to an alteration of the initial task. METHODS: We conducted a prospective observational study into the PACU of a university hospital during February 2017. Among 18 nurses, a selected one was observed each day, documenting for each TI the reaction of the nurse (task switching or concurrent multitasking), and the characteristics associated with the TI. We performed classification tree analyses using C5.0 algorithm in order to select the main predictors of the type of multitasking performed and the alteration of the initial task. RESULTS: We observed 1119 TI during 132 hours (8.5 TI/hour). The main reaction was concurrent multitasking (805 TI, 72%). The short duration of the task interruption (one minute or less) was the most important predictor leading to concurrent multitasking. Other predictors of response to TI were the identity of the task interrupter and the number of nurses present. Regarding the consequences of the task switching, long interruption (more than five minutes) was the most important predictor of the alteration of the initial task. CONCLUSIONS: By analysing the predictors of the type of multitasking in front of TI, we propose a novel approach to understanding TI, offering new perspective for prevention strategies.
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When nurses are interrupted in their task, their attention is shifted from the initial process to the new process with a decay of the memory of the initial process; this leads to an increase in response time when returning to the initial task or even the nurse starting the initial task over and hence a likelihood of overwhelmed cognitive capacities and decreased productivity and accuracy in the EH
“when the nurses are interrupted in their task, their attention is shifted from the initial process to the new process with a decay of the memory of the initial process; this leads to an increase in response time when returning to the initial task or even the nurse starting the initial task over and hence a likelihood of overwhelmed cognitive capacities [14] and decreased productivity and accuracy”
From Workflow interruption and nurses’ mental workload in electronic health record tasks: An observational study (2023) · cites this paper as [14]
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- Authors
- Vacheron, C.-H., Peyrouset, O., Incagnoli, P., Charra, V., Parat, S., David, J.-S., Theissen, A., Piriou, V., & Friggeri, A.
- Affiliations
- Lyon 1 Université (FR)
- Hospices Civils de Lyon (FR)
- Princess Grace Hospital Centre (MC)
- Corresponding author
- Vacheron, Charles-Hervé
- Venue
- Brazilian Journal of Anesthesiology (English Edition)
- Publisher
- Elsevier BV
- Published
- 2023-05
- Volume
- 73
- Issue
- 3
- Pages
- 267-275
- ISSN
- 0104-0014 (ISSN-L)
- PMC
- PMC10240234
- OpenAlex
- W3169731598
- Cited by
- 8
- References
- 25
- Citations by year
- 2026: 1 · 2025: 2 · 2023: 3 · 2022: 2
- FWCI
- 1.07
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Brazilian Journal of Anesthesiology (English Edition) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Personal Information Management and User Behavior
- Health Sciences › Health Professions › Emergency Medical Services › Patient Safety and Medication Errors
- Health Sciences › Nursing › Research and Theory › Nursing education and management
- Keywords
- task interruption, multitasking, task switching, post-anesthesia care unit, nurses, nursing workload, interruption duration, predictors of treatment response, classification trees, C5.0 algorithm
- MeSH terms
- Humans, Prospective Studies, Task Performance and Analysis, Time Factors, Workload
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