Evidence map›Paper›PMID 39661819›Full record

Observational studyEpidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil2024

Assessment of the impact of the COVID-19 pandemic on the productivity of teaching hospitals in Brazil.

Maria Stella de Castro Lobo, Marcos Pereira Estellita Lins, Henrique de Castro Rodrigues, Gabriel Martins Soares

Abstract readObservational Study
In one paragraph

Observational study in Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Healthcare-associated infections in an intensive care unit: a descriptive study, Mato Grosso state, Brazil, 2018-2021.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2026
    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

4 authors.

Maria Stella de Castro LoboUniversidade Federal do Rio de Janeiro, Instituto de Estudos em Saúde Coletiva, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0002-7627-3959
Marcos Pereira Estellita LinsUniversidade Federal do Estado do Rio de Janeiro, Escola de Engenharia de Produção, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0003-1980-0764
Henrique de Castro RodriguesUniversidade Federal do Rio de Janeiro, Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0003-3389-7208
Gabriel Martins SoaresUniversidade Federal do Rio de Janeiro, Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0002-5911-1632

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo analyze the influence of the COVID-19 pandemic on the productivity of general teaching hospitals in Brazil, by region and legal entity, and to propose parameters of care.

methodsThis was an observational study by means of mathematical modeling with data envelopment analysis and Malmquist index, using data on inputs and healthcare output before (2019) and during (2021) the pandemic.

resultsA total of 149 general teaching hospitals were analyzed, 32 of which were considered efficient. There was a decrease in productivity across all regions and legal entity. To bring all inefficient hospitals to the efficiency frontier generated by the model, there is a need to increase output by 2,205,856 (96.5%) hospitalizations and 872,264 (107.4%) surgeries.

conclusionThe decline in hospital productivity resulted from the social commitment of hospitals during the pandemic, with a change in the care delivery pattern. The mathematical model used allows for the generation of parameters to facilitate the efficient recovery of care services after the end of public health emergency, and can be applied to hospital planning. MAIN

resultsThe COVID-19 pandemic led to a reduction in productivity of general teaching hospitals in Brazil across all regions and in all legal entity types. In order to recover, these hospitals will need to increase their average hospitalizations by 96.5% and surgeries by 107.4%. IMPLICATIONS FOR SERVICES: The study presents a methodology that can be adapted and replicated in the management of healthcare services in the country, by defining an efficiency score and calculating the parameters, in a scenario of care recovery following the end of the public health emergency. PERSPECTIVES: Additional qualitative analysis and application of DEA- Malmquist in subsequent years will validate dynamic planning, which considers multiple fluctuations and the influence of new factors and contexts that impact productivity (such as the pandemic).

Indexed as

COVID-19Efficiency, OrganizationalHospitals, TeachingBrazilDelivery of Health CareHospitalizationHospitals, GeneralHumansModels, TheoreticalPandemics

Identifiers

PMID39661819
PMCPMC11654046

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.