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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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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. |
format | Online Article Text |
id | pubmed-8956155 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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