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区域医院实验室病理学家工作量、工作分配以及重要缺勤或离职情况。

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

机构信息

Division of Anatomical Pathology, Department of Pathology and Molecular Medicine, Staff Pathologist-St. Joseph's Healthcare Hamilton, McMaster University, Hamilton, Ontario, Canada.

Rutgers Health/St Barnabas Medical Center, Livingston, New Jersey, United States of America.

出版信息

PLoS One. 2022 Mar 25;17(3):e0265905. doi: 10.1371/journal.pone.0265905. eCollection 2022.

DOI:10.1371/journal.pone.0265905
PMID:35333879
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8956155/
Abstract

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.

摘要

目的

通过(1)国家工作量系统(L4E)、(2)三个医院组之间的工作分配以及(3)重大缺勤或离职(SADs)的频率,评估受薪病理学家的工作环境。

方法

使用经过验证的计算机代码对区域实验室(2011-2019 年收录)的病理报告进行自动分析。

结果

研究集包含 574099 份病理报告,由 63 位病理学家报告。三个医院组的平均年 L4E 工作量单位/全职当量分别为 8101.6、6906.5 和 4215.8。三个医院组全职病理学家的平均基尼系数分别为 0.05、0.16 和 0.23。平均年 SADs 率分别为 13%、16%和 9%。SADs 率最高的组具有中等基尼系数和中等工作量。

结论

高个体工作量和工作分配不均似乎与 SADs 有关。个人工作量上限和更大的透明度可能对于限制员工流失、保持高昂士气以及高效实验室功能和高质量护理至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf14/8956155/68732f8478e8/pone.0265905.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf14/8956155/68732f8478e8/pone.0265905.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf14/8956155/68732f8478e8/pone.0265905.g001.jpg

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