Evidence map›Paper›PMID 33967373›Full record

ArticleSocial indicators research2021

COVID Health Structure Index: The Vulnerability of Brazilian Microregions.

Diogo Ferraz, Enzo Barberio Mariano, Patricia Regina Manzine, Herick Fernando Moralles, Paulo César Morceiro, Bruno Guimarães Torres, Mariana Rodrigues de Almeida, João Carlos Soares de Mello, Daisy Aparecida do Nascimento Rebelatto

Abstract read
In one paragraph

Article in Social indicators research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Assessment of the impact of the COVID-19 pandemic on the productivity of teaching hospitals in Brazil.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2024
    Observational
  2. Review
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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

9 authors.

Diogo FerrazDepartment of Innovation Economics, University of Hohenheim, Wollgrasweg 23, 2nd floor, Room 520i, Stuttgart, Germany.ORCID 0000-0003-4037-7171
Enzo Barberio MarianoDepartment of Production Engineering, São Paulo State University (UNESP), Núcleo Residencial Presidente Geisel, Avenida Engenheiro Luiz Edmundo Carrijo Coube, 14-01, Bauru, 17033360 Brazil.ORCID https://orcid.org/0000-0002-9577-3297
Patricia Regina ManzineDepartment of Gerontology, Federal University of São Carlos (UFSCar), Rod. Washington Luiz, s/n, São Carlos, SP 13565-905 Brazil.ORCID https://orcid.org/0000-0003-3460-9300
Herick Fernando MorallesDepartment of Production Engineering, Federal University of São Carlos (UFSCar), Rod. Washington Luiz, s/n, São Carlos, SP 13565-905 Brazil.ORCID https://orcid.org/0000-0002-5521-9443
Paulo César MorceiroDST/NRF South African Chair in Industrial Development, College of Business and Economics, University of Johannesburg, 31 Henley Road, Aucklandpark, Johannesburg, 2092 South Africa.ORCID https://orcid.org/0000-0002-9548-0996
Bruno Guimarães TorresDepartment of Production Engineering, Fluminense Federal University (UFF), Rua Passo da Pátria, Campus Praia Vermelha, Bloco D - sala 309, Niterói, 24210-240 Brazil.ORCID https://orcid.org/0000-0003-2095-7937
Mariana Rodrigues de AlmeidaDepartment of Production Engineering, Federal University of Rio Grande do Norte (UFRN), Av. Senador Salgado Filho, n° 3000, Campus Universitário Lagoa Nova - Centro de Tecnologia, Natal, 59078-970 Brazil.ORCID https://orcid.org/0000-0001-7491-0742
João Carlos Soares de MelloDepartment of Production Engineering, Fluminense Federal University (UFF), Rua Passo da Pátria, Campus Praia Vermelha, Bloco D - sala 309, Niterói, 24210-240 Brazil.ORCID https://orcid.org/0000-0002-6507-2721
Daisy Aparecida do Nascimento RebelattoDepartment of Production Engineering, University of São Paulo (EESC/USP), Av. Trab. São Carlense, 400 - Parque Arnold Schimidt, São Carlos, 13566-590 Brazil.ORCID https://orcid.org/0000-0003-0611-1492

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many developing countries have highly unequal health systems across their regions. The pandemic of COVID-19 brought an additional challenge, as hospital structures equipped with doctors, intensive care units and respirators are not available to a sufficient extent in all regions. Using Data Envelopment Analysis, we create a COVID Index to verify whether the hospital structures in 543 Brazilian microregions are adequate to deal with COVID-19 and to verify whether public policies were implemented in the right direction. The results indicate that hospital structures in the poorest microregions were the most vulnerable, although the peak of COVID-19 occurred in the richest microregions (Sao Paulo). The Southeast states could relocate hospital resources or even patients between their regions. The relocation was not possible in many states in the Northeast, as the health system poorly assisted the interior of these states. These findings reveal that the heterogeneity of microregions' hospital structures follows the patterns of socioeconomic inequalities. We conclude that it is easier for the wealthier regions to reallocate hospital resources internally than for the poorest regions. By using the COVID Index, policymakers and hospital managers have straightforward information to decide which regions must receive new investments and reallocate underutilized resources.

Indexed as

Coronavirus pandemic. health service. decision index. Brazilian microregions. Data Envelopment Analysis (DEA)

Identifiers

PMID33967373
PMCPMC8096891

What OpenQuestion holds

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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.