Evidence map›Paper›PMID 32785564›Full record

ArticleRevista latino-americana de enfermagem2020

COVID-19 pandemic and the judicialization of health care: an explanatory case study.

Eloá Carneiro Carvalho, Pedro Hugo Dantas de Oliveira Souza, Thereza Christina Mó Y Mó Loureiro Varella, Norma Valéria Dantas de Oliveira Souza, Sheila Nascimento Pereira de Farias, Samira Silva Santos Soares

Abstract read
In one paragraph

Article in Revista latino-americana de enfermagem, 2020. 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

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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. 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

6 authors.

Eloá Carneiro CarvalhoFaculdade de Enfermagem, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Pedro Hugo Dantas de Oliveira SouzaPetróleo Brasileiro S/A, Rio de Janeiro, RJ, Brazil.
Thereza Christina Mó Y Mó Loureiro VarellaFaculdade de Enfermagem, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Norma Valéria Dantas de Oliveira SouzaFaculdade de Enfermagem, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Sheila Nascimento Pereira de FariasEscola de Enfermagem Anna Nery, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Samira Silva Santos SoaresEscola de Enfermagem Anna Nery, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective to identify the reasons that led to the judicialization of health care in the context of the COVID-19 pandemic; describe the outcomes of lawsuits concerning health care involving the COVID-19; and analyze the cases of health care judicialization intended to ensure the population's right to health. Method qualitative, explanatory case study. Data were collected from the websites of the Federal Prosecution Service, Regional Labor Court (1st Region), and the Court of Justice of Rio de Janeiro. The inclusion criterion was public civil actions that concerned health care and situations involving the COVID-19 pandemic. Two categories emerged from data analysis. Results four cases were identified. Conclusion the judicialization of health care consists of obtaining assets and rights in the courts. These assets and rights are essential to ensure the health of citizens but have been denied in various instances, often due to the omission of the executive and legislative powers. Analyzing the judicialization of health care amidst the pandemic brings focus and highlights the importance of giving voice and visibility to the enormous contingent of the Brazilian society unassisted by public authorities.

Indexed as

BetacoronavirusBrazilCoronavirus InfectionsCOVID-19Delivery of Health CareHumansPandemicsPneumonia, ViralRight to HealthSARS-CoV-2

Identifiers

PMID32785564
PMCPMC7417131

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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.