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Evolution of anatomic pathology workload from 2011 to 2019 assessed in a regional hospital laboratory via 574,093 pathology reports.
Bonert, Michael; Zafar, Uzma; Maung, Raymond; El-Shinnawy, Ihab; Kak, Ipshita; Cutz, Jean-Claude; Naqvi, Asghar; Juergens, Rosalyn A; Finley, Christian; Salama, Samih; Major, Pierre; Kapoor, Anil.
Afiliação
  • Bonert M; Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada.
  • Zafar U; Internal Medicine, McMaster University, Hamilton, Ontario, Canada.
  • Maung R; Pathology, University of British Columbia, Vancouver, British Columbia, Canada.
  • El-Shinnawy I; Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada.
  • Kak I; Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada.
  • Cutz JC; Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada.
  • Naqvi A; Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada.
  • Juergens RA; Medical Oncology, McMaster University, Hamilton, Ontario, Canada.
  • Finley C; Thoracic Surgery, McMaster University, Hamilton, Ontario, Canada.
  • Salama S; Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada.
  • Major P; Medical Oncology, McMaster University, Hamilton, Ontario, Canada.
  • Kapoor A; Urology, McMaster University, Hamilton, Ontario, Canada.
PLoS One ; 16(6): e0253876, 2021.
Article em En | MEDLINE | ID: mdl-34185808
ABSTRACT

OBJECTIVE:

Quantify changes in workload in relation to the anatomic pathologist workforce.

METHODS:

In house pathology reports for cytology and surgical specimens from a regional hospital laboratory over a nine- year period (2011-2019) were analyzed, using custom computer code. Report length for the diagnosis+microscopic+synoptic report, number of blocks, billing classification (L86x codes), billings, national workload model (L4E 2018), regional workload model (W2Q), case count, and pathologist workforce in full-time equivalents (FTEs) were quantified. Randomly selected cases (n = 1,100) were audited to assess accuracy.

RESULTS:

The study period had 574,093 pathology reports that could be analyzed. The coding accuracy was estimated at 95%. From 2011 to 2019 cases/year decreased 6% (66,056 to 61,962), blocks/year increased 20% (236,197 to 283,751), L4E workload units increased 23% (165,276 to 203,894), W2Q workload units increased 21% (149,841 to 181,321), report lines increased 19% (606,862 to 723,175), workforce increased 1% (30.42 to 30.77 FTEs), billings increased 13% ($6,766,927 to $7,677,109). W2Q in relation to L4E underweights work in practices with large specimens by up to a factor of 2x.

CONCLUSIONS:

Work by L4E for large specimens is underrated by W2Q. Reporting requirements and pathology work-up have increased workload per pathology case. Work overall has increased significantly without a commensurate workforce increase. The significant practice changes in the pathology work environment should prompt local investment in the anatomic pathology workforce.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Patologia Clínica / Laboratórios Hospitalares / Citodiagnóstico / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Patologia Clínica / Laboratórios Hospitalares / Citodiagnóstico / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Canadá