Surgical waiting lists and queue management in a Brazilian tertiary public hospital

被引:2
作者
Pazin-Filho, Antonio [1 ]
Dallora, Maria Eulalia Lessa do Valle [2 ]
Velasco, Tonicarlo Rodrigues [2 ]
dos Santos, Roberto de Oliveira Cardoso [2 ]
Volpe, Gustavo Jardim [2 ]
Moroco, Diego Marques [2 ]
de Souza, Danilo Arruda [2 ]
Canabrava, Claudia Marques [1 ]
Garcia, Luis Vicente [1 ]
Joviliano, Edwaldo Edner [1 ]
Maciel, Benedito Carlos [1 ]
机构
[1] Univ Sao Paulo, Ribeirao Preto Med Sch, Ribeirao Preto, SP, Brazil
[2] Univ Sao Paulo, Clin Hosp, Ribeirao Preto Med Sch, Ribeirao Preto, SP, Brazil
关键词
Hospital administration; Surgery department; Hospital; Waiting lists; Operating room information systems; Universal access to health care services; Barriers to access of health services; Elective surgical procedures; Health management; Decision modeling; Summed; ELECTIVE SURGERY; COVID-19; INITIATIVES; ADMISSIONS; IMPACT;
D O I
10.1186/s12913-024-10735-4
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background 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 (BUHS). We describe the implementation of the "Patients with Surgical Indication" (PSI) in a Brazilian public tertiary hospital, 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.
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页数:9
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