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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.
Afiliação
  • Bonert M; Division of Anatomical Pathology, Department of Pathology and Molecular Medicine, Staff Pathologist-St. Joseph's Healthcare Hamilton, McMaster University, Hamilton, Ontario, Canada.
  • Zafar U; Rutgers Health/St Barnabas Medical Center, Livingston, New Jersey, United States of America.
  • Maung R; Department of Pathology and Laboratory Medicine, Staff Pathologist-Royal Inland Hospital, University of British Columbia, Kamloops, British Columbia, Canada.
  • El-Shinnawy I; Division of Anatomical Pathology, Department of Pathology and Molecular Medicine, Staff Pathologist-St. Joseph's Healthcare Hamilton, McMaster University, Hamilton, Ontario, Canada.
  • Naqvi A; Division of Anatomical Pathology, Department of Pathology and Molecular Medicine, Staff Pathologist-St. Joseph's Healthcare Hamilton, McMaster University, Hamilton, Ontario, Canada.
  • Finley C; Division of Thoracic Surgery, Department of Surgery, Staff Thoracic Surgeon-St. Joseph's Healthcare Hamilton, McMaster University, Hamilton, Ontario, Canada.
  • Cutz JC; Division of Anatomical Pathology, Department of Pathology and Molecular Medicine, Staff Pathologist-St. Joseph's Healthcare Hamilton, McMaster University, Hamilton, Ontario, Canada.
  • Major P; Division of Medical Oncology, Department of Medicine, Staff Medical Oncologist-Hamilton Health Sciences, McMaster University, Hamilton, Ontario, Canada.
  • Kapoor A; Division of Urology, Department of Surgery, Staff Urologist-St. Joseph's Healthcare Hamilton, McMaster University, Hamilton, Ontario, Canada.
PLoS One ; 17(3): e0265905, 2022.
Article em En | MEDLINE | ID: mdl-35333879
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Laboratórios Hospitalares Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Laboratórios Hospitalares Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article