Pathologist workload, work distribution and significant absences or departures at a regional hospital laboratory.
<h4>Objective</h4>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).<h4>Methods</h4>Automated analysis of pa...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
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Public Library of Science (PLoS)
2022-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0265905 |
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author | Michael Bonert Uzma Zafar Raymond Maung Ihab El-Shinnawy Asghar Naqvi Christian Finley Jean-Claude Cutz Pierre Major Anil Kapoor |
author_facet | Michael Bonert Uzma Zafar Raymond Maung Ihab El-Shinnawy Asghar Naqvi Christian Finley Jean-Claude Cutz Pierre Major Anil Kapoor |
author_sort | Michael Bonert |
collection | DOAJ |
description | <h4>Objective</h4>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).<h4>Methods</h4>Automated analysis of pathology reports from a regional laboratory (accessioned 2011-2019) using validated computer code.<h4>Results</h4>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.<h4>Conclusions</h4>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. |
first_indexed | 2024-04-13T08:37:29Z |
format | Article |
id | doaj.art-200f98f0d02c4ac0997b7b216b73ae13 |
institution | Directory Open Access Journal |
issn | 1932-6203 |
language | English |
last_indexed | 2024-04-13T08:37:29Z |
publishDate | 2022-01-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS ONE |
spelling | doaj.art-200f98f0d02c4ac0997b7b216b73ae132022-12-22T02:54:02ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01173e026590510.1371/journal.pone.0265905Pathologist workload, work distribution and significant absences or departures at a regional hospital laboratory.Michael BonertUzma ZafarRaymond MaungIhab El-ShinnawyAsghar NaqviChristian FinleyJean-Claude CutzPierre MajorAnil Kapoor<h4>Objective</h4>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).<h4>Methods</h4>Automated analysis of pathology reports from a regional laboratory (accessioned 2011-2019) using validated computer code.<h4>Results</h4>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.<h4>Conclusions</h4>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.https://doi.org/10.1371/journal.pone.0265905 |
spellingShingle | Michael Bonert Uzma Zafar Raymond Maung Ihab El-Shinnawy Asghar Naqvi Christian Finley Jean-Claude Cutz Pierre Major Anil Kapoor Pathologist workload, work distribution and significant absences or departures at a regional hospital laboratory. PLoS ONE |
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 |
url | https://doi.org/10.1371/journal.pone.0265905 |
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