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Impact of Fatigue on Emergency Physicians’ Decision-making for Computed Tomographic Scan Requests and Inpatient Referrals: An Observational Study from a Tertiary Care Medical Center of the Sultanate of Oman
OBJECTIVE: Multiple factors contribute to decision fatigue experienced by emergency physicians (EPs). This study examines the association between decision fatigue and the frequency of computed tomographic (CT) scan requests and inpatient referrals among EPs. METHODS: This retrospective database anal...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Jaypee Brothers Medical Publishers
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504659/ https://www.ncbi.nlm.nih.gov/pubmed/37719345 http://dx.doi.org/10.5005/jp-journals-10071-24520 |
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author | Al-Arimi, Asma H Hazra, Darpanarayan Al-Alawi, Awatif K Alsarrai |
author_facet | Al-Arimi, Asma H Hazra, Darpanarayan Al-Alawi, Awatif K Alsarrai |
author_sort | Al-Arimi, Asma H |
collection | PubMed |
description | OBJECTIVE: Multiple factors contribute to decision fatigue experienced by emergency physicians (EPs). This study examines the association between decision fatigue and the frequency of computed tomographic (CT) scan requests and inpatient referrals among EPs. METHODS: This retrospective database analysis was done for 3 months. Scans and inpatient referral requests were coded and analyzed to assess the impact of physician fatigue on decision-making. Subsequently, the outcomes were evaluated. RESULTS: The majority of patients (n = 481; 51.1%) had a CT brain request. Among these requests, the morning shift (8:00 a.m.–3:00 p.m.) accounted for the highest number (n = 400; 42.5%), followed by the evening shift (3:00–11:00 p.m.) (n = 345; 36.7%). Approximately one-third of the patients (n = 301; 31.9%) had positive CT scan findings. Statistical analysis comparing the first and the second halves of each shift did not reveal significant variations in the percentage of negative CT results (p-value: 0.093). Inpatient referral was necessary for over half of the patients (n = 1,048; 52.7%), and the majority of these referrals (n = 778; 74.2%) were deemed necessary for treatment under various surgical or medical specialties. There was a statistically significant difference in the proportion of negative inpatient referrals between the first and the second halves of the afternoon shift (p-value < 0.001). CONCLUSIONS: Fatigue among EPs was observed, leading to more frequent consultations without inpatient admission during the latter half of the afternoon shift. However, the study found no significant impact of decision fatigue on CT scan decision-making. HOW TO CITE THIS ARTICLE: Al-Arimi AH, Hazra D, Al-Alawi AKA. Impact of Fatigue on Emergency Physicians’ Decision-making for Computed Tomographic Scan Requests and Inpatient Referrals: An Observational Study from a Tertiary Care Medical Center of the Sultanate of Oman. Indian J Crit Care Med 2023;27(9):620–624. |
format | Online Article Text |
id | pubmed-10504659 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Jaypee Brothers Medical Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-105046592023-09-17 Impact of Fatigue on Emergency Physicians’ Decision-making for Computed Tomographic Scan Requests and Inpatient Referrals: An Observational Study from a Tertiary Care Medical Center of the Sultanate of Oman Al-Arimi, Asma H Hazra, Darpanarayan Al-Alawi, Awatif K Alsarrai Indian J Crit Care Med Original Article OBJECTIVE: Multiple factors contribute to decision fatigue experienced by emergency physicians (EPs). This study examines the association between decision fatigue and the frequency of computed tomographic (CT) scan requests and inpatient referrals among EPs. METHODS: This retrospective database analysis was done for 3 months. Scans and inpatient referral requests were coded and analyzed to assess the impact of physician fatigue on decision-making. Subsequently, the outcomes were evaluated. RESULTS: The majority of patients (n = 481; 51.1%) had a CT brain request. Among these requests, the morning shift (8:00 a.m.–3:00 p.m.) accounted for the highest number (n = 400; 42.5%), followed by the evening shift (3:00–11:00 p.m.) (n = 345; 36.7%). Approximately one-third of the patients (n = 301; 31.9%) had positive CT scan findings. Statistical analysis comparing the first and the second halves of each shift did not reveal significant variations in the percentage of negative CT results (p-value: 0.093). Inpatient referral was necessary for over half of the patients (n = 1,048; 52.7%), and the majority of these referrals (n = 778; 74.2%) were deemed necessary for treatment under various surgical or medical specialties. There was a statistically significant difference in the proportion of negative inpatient referrals between the first and the second halves of the afternoon shift (p-value < 0.001). CONCLUSIONS: Fatigue among EPs was observed, leading to more frequent consultations without inpatient admission during the latter half of the afternoon shift. However, the study found no significant impact of decision fatigue on CT scan decision-making. HOW TO CITE THIS ARTICLE: Al-Arimi AH, Hazra D, Al-Alawi AKA. Impact of Fatigue on Emergency Physicians’ Decision-making for Computed Tomographic Scan Requests and Inpatient Referrals: An Observational Study from a Tertiary Care Medical Center of the Sultanate of Oman. Indian J Crit Care Med 2023;27(9):620–624. Jaypee Brothers Medical Publishers 2023-09 /pmc/articles/PMC10504659/ /pubmed/37719345 http://dx.doi.org/10.5005/jp-journals-10071-24520 Text en Copyright © 2023; The Author(s). https://creativecommons.org/licenses/by-nc/4.0/© The Author(s). 2023 Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and non-commercial reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Original Article Al-Arimi, Asma H Hazra, Darpanarayan Al-Alawi, Awatif K Alsarrai Impact of Fatigue on Emergency Physicians’ Decision-making for Computed Tomographic Scan Requests and Inpatient Referrals: An Observational Study from a Tertiary Care Medical Center of the Sultanate of Oman |
title | Impact of Fatigue on Emergency Physicians’ Decision-making for Computed Tomographic Scan Requests and Inpatient Referrals: An Observational Study from a Tertiary Care Medical Center of the Sultanate of Oman |
title_full | Impact of Fatigue on Emergency Physicians’ Decision-making for Computed Tomographic Scan Requests and Inpatient Referrals: An Observational Study from a Tertiary Care Medical Center of the Sultanate of Oman |
title_fullStr | Impact of Fatigue on Emergency Physicians’ Decision-making for Computed Tomographic Scan Requests and Inpatient Referrals: An Observational Study from a Tertiary Care Medical Center of the Sultanate of Oman |
title_full_unstemmed | Impact of Fatigue on Emergency Physicians’ Decision-making for Computed Tomographic Scan Requests and Inpatient Referrals: An Observational Study from a Tertiary Care Medical Center of the Sultanate of Oman |
title_short | Impact of Fatigue on Emergency Physicians’ Decision-making for Computed Tomographic Scan Requests and Inpatient Referrals: An Observational Study from a Tertiary Care Medical Center of the Sultanate of Oman |
title_sort | impact of fatigue on emergency physicians’ decision-making for computed tomographic scan requests and inpatient referrals: an observational study from a tertiary care medical center of the sultanate of oman |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504659/ https://www.ncbi.nlm.nih.gov/pubmed/37719345 http://dx.doi.org/10.5005/jp-journals-10071-24520 |
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