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Pathologist workload, work distribution and significant absences or departures at a regional hospital laboratory

OBJECTIVE: Assess the work environment of salaried pathologists via (1) the national workload system (L4E), (2) work distribution among/in three hospital groups, and (3) the frequency of significant absences or departures (SADs). METHODS: Automated analysis of pathology reports from a regional labor...

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Autores principales: Bonert, Michael, Zafar, Uzma, Maung, Raymond, El-Shinnawy, Ihab, Naqvi, Asghar, Finley, Christian, Cutz, Jean-Claude, Major, Pierre, Kapoor, Anil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956155/
https://www.ncbi.nlm.nih.gov/pubmed/35333879
http://dx.doi.org/10.1371/journal.pone.0265905
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author Bonert, Michael
Zafar, Uzma
Maung, Raymond
El-Shinnawy, Ihab
Naqvi, Asghar
Finley, Christian
Cutz, Jean-Claude
Major, Pierre
Kapoor, Anil
author_facet Bonert, Michael
Zafar, Uzma
Maung, Raymond
El-Shinnawy, Ihab
Naqvi, Asghar
Finley, Christian
Cutz, Jean-Claude
Major, Pierre
Kapoor, Anil
author_sort Bonert, Michael
collection PubMed
description OBJECTIVE: Assess the work environment of salaried pathologists via (1) the national workload system (L4E), (2) work distribution among/in three hospital groups, and (3) the frequency of significant absences or departures (SADs). METHODS: Automated analysis of pathology reports from a regional laboratory (accessioned 2011–2019) using validated computer code. RESULTS: The study set contained 574,099 pathology reports, reported by 63 pathologists. The average yearly L4E workload units/full-time equivalent for three hospital groups were 8,101.6, 6,906.5 and 4,215.8. The average Gini coefficient for full-time pathologists in the three hospital groups were respectively 0.05, 0.16 and 0.23. The average yearly SADs rates were respectively 13%, 16% and 9%. The group with the highest SADs rate had the intermediate Gini coefficient and intermediate workload. CONCLUSIONS: High individual workload and work maldistribution appear to be associated with SADs. Individual workload maximums and greater transparency may be essential for limiting staff turnover, maintaining high morale, and efficient laboratory function with a high quality of care.
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spelling pubmed-89561552022-03-26 Pathologist workload, work distribution and significant absences or departures at a regional hospital laboratory Bonert, Michael Zafar, Uzma Maung, Raymond El-Shinnawy, Ihab Naqvi, Asghar Finley, Christian Cutz, Jean-Claude Major, Pierre Kapoor, Anil PLoS One Research Article OBJECTIVE: Assess the work environment of salaried pathologists via (1) the national workload system (L4E), (2) work distribution among/in three hospital groups, and (3) the frequency of significant absences or departures (SADs). METHODS: Automated analysis of pathology reports from a regional laboratory (accessioned 2011–2019) using validated computer code. RESULTS: The study set contained 574,099 pathology reports, reported by 63 pathologists. The average yearly L4E workload units/full-time equivalent for three hospital groups were 8,101.6, 6,906.5 and 4,215.8. The average Gini coefficient for full-time pathologists in the three hospital groups were respectively 0.05, 0.16 and 0.23. The average yearly SADs rates were respectively 13%, 16% and 9%. The group with the highest SADs rate had the intermediate Gini coefficient and intermediate workload. CONCLUSIONS: High individual workload and work maldistribution appear to be associated with SADs. Individual workload maximums and greater transparency may be essential for limiting staff turnover, maintaining high morale, and efficient laboratory function with a high quality of care. Public Library of Science 2022-03-25 /pmc/articles/PMC8956155/ /pubmed/35333879 http://dx.doi.org/10.1371/journal.pone.0265905 Text en © 2022 Bonert et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bonert, Michael
Zafar, Uzma
Maung, Raymond
El-Shinnawy, Ihab
Naqvi, Asghar
Finley, Christian
Cutz, Jean-Claude
Major, Pierre
Kapoor, Anil
Pathologist workload, work distribution and significant absences or departures at a regional hospital laboratory
title Pathologist workload, work distribution and significant absences or departures at a regional hospital laboratory
title_full Pathologist workload, work distribution and significant absences or departures at a regional hospital laboratory
title_fullStr Pathologist workload, work distribution and significant absences or departures at a regional hospital laboratory
title_full_unstemmed Pathologist workload, work distribution and significant absences or departures at a regional hospital laboratory
title_short Pathologist workload, work distribution and significant absences or departures at a regional hospital laboratory
title_sort pathologist workload, work distribution and significant absences or departures at a regional hospital laboratory
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8956155/
https://www.ncbi.nlm.nih.gov/pubmed/35333879
http://dx.doi.org/10.1371/journal.pone.0265905
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