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Surgical waiting lists and queue management in a Brazilian tertiary public hospital
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  • Antonio Pazin-Filho,
  • Maria Eulália Lessa do Valle Dallora,
  • Tonicarlo Rodrigues Velasco,
  • Roberto de Oliveira Cardoso dos Santos,
  • Gustavo Jardim Volpe,
  • Diego Marques Moroço,
  • Danilo Arruda de Souza,
  • Claudia Marques Canabrava,
  • Luis Vicente Garcia,
  • Edwaldo Edner Joviliano,
  • Benedito Carlos Maciel
Antonio Pazin-Filho
University of São Paulo

Corresponding Author:[email protected]

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Maria Eulália Lessa do Valle Dallora
University Hospital Ribeirão Preto Medical School – University of São Paulo
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Tonicarlo Rodrigues Velasco
University Hospital Ribeirão Preto Medical School – University of São Paulo
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Roberto de Oliveira Cardoso dos Santos
University Hospital Ribeirão Preto Medical School – University of São Paulo
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Gustavo Jardim Volpe
University Hospital Ribeirão Preto Medical School – University of São Paulo
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Diego Marques Moroço
University Hospital Ribeirão Preto Medical School – University of São Paulo
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Danilo Arruda de Souza
University Hospital Ribeirão Preto Medical School – University of São Paulo
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Claudia Marques Canabrava
University of São Paulo
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Luis Vicente Garcia
University of São Paulo
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Edwaldo Edner Joviliano
University of São Paulo
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Benedito Carlos Maciel
University of São Paulo
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Abstract

Introduction: Centralized management of queues helps to reduce the surgical waiting time in the publicly funded healthcare system, but this is not a reality in the Brazilian Unified Healthcare System. Objectives: To describe the implementation of the “Patients with Surgical Indication” (PSI) in a Brazilian public tertiary hospital; To assess the impact on waiting time and its use in rationing oncological surgeries during the COVID-19 Pandemic. Methods: Retrospective observational study of elective surgical requests (2016-2022) in a Brazilian general, public, tertiary university hospital. We recovered information regarding the inflows (indications), outflows and their reasons, the number of patients, and waiting time in queue. Results: We enrolled 82,844 indications in the PSI (2016-2022). The waiting time (median and interquartile range) in days decreased from 98(48;168) in 2016 to 14(3;152) in 2022 (p<0.01). The same occurred with the backlog that ranged from 6,884 in 2016 to 844 in 2022 (p<001). During the Pandemic, there was a reduction in the number of non-oncological surgeries per month (95% confidence interval) of -10.9(-18.0;-3.8) during Phase I (January 2019-March 2020), maintenance in Phase II (April 2020-August 2021) 0.1(-10.0;10.4) and increment in Phase III (September 2021-December 2022) of 23.0(15.3;30.8). In the oncological conditions, these numbers were 0.6(-2.1;3.3) for Phase I, an increase of 3.2(0.7;5.6) in Phase II and 3.9(1 ,4;6,4) in Phase III. Conclusion: Implementing a centralized list of surgical indications and developing queue management principles proved feasible, with effective rationing. It unprecedentedly demonstrated the decrease in the median waiting time in Brazil.