Evidence map›Paper›PMID 38448876›Full record

Observational studyBMC health services research2024

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

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 and 1 more

Abstract readObservational Study
In one paragraph

Observational study in BMC health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Kavanah Project: beyond health promotion.Einstein (Sao Paulo, Brazil) · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Antonio Pazin-FilhoRibeirão Preto Medical School, University of São Paulo, Ribeirao Preto, São Paulo, Brazil. apazin@fmrp.usp.br.
Maria Eulália Lessa do Valle DalloraClinical Hospital - Ribeirão Preto Medical School, University of São Paulo, Ribeirao Preto, São Paulo, Brazil.
Tonicarlo Rodrigues VelascoClinical Hospital - Ribeirão Preto Medical School, University of São Paulo, Ribeirao Preto, São Paulo, Brazil.
Roberto de Oliveira Cardoso Dos SantosClinical Hospital - Ribeirão Preto Medical School, University of São Paulo, Ribeirao Preto, São Paulo, Brazil.
Gustavo Jardim VolpeClinical Hospital - Ribeirão Preto Medical School, University of São Paulo, Ribeirao Preto, São Paulo, Brazil.
Diego Marques MoroçoClinical Hospital - Ribeirão Preto Medical School, University of São Paulo, Ribeirao Preto, São Paulo, Brazil.
Danilo Arruda de SouzaClinical Hospital - Ribeirão Preto Medical School, University of São Paulo, Ribeirao Preto, São Paulo, Brazil.
Claudia Marques CanabravaRibeirão Preto Medical School, University of São Paulo, Ribeirao Preto, São Paulo, Brazil.
Luis Vicente GarciaRibeirão Preto Medical School, University of São Paulo, Ribeirao Preto, São Paulo, Brazil.
Edwaldo Edner JovilianoRibeirão Preto Medical School, University of São Paulo, Ribeirao Preto, São Paulo, Brazil.
Benedito Carlos MacielRibeirão Preto Medical School, University of São Paulo, Ribeirao Preto, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCentralized 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.

methodsRetrospective 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.

resultsWe 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.

conclusionImplementing 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.

Indexed as

PandemicsWaiting ListsBrazilElective Surgical ProceduresHospitals, PublicHumansRetrospective StudiesBarriers to access of health servicesDecision modelingElective surgical proceduresHealth managementHospital administrationOperating room information systemsSummedSurgery department, HospitalUniversal access to health care servicesWaiting lists

Identifiers

PMID38448876
PMCPMC10916210

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.