Evidence map›Paper›PMID 39515869›Full record

ArticleBMJ open2024

Protocol for an ambidirectional cohort study on long COVID and the healthcare needs, use and barriers to access health services in a large city in Southeast Brazil.

Margareth Crisóstomo Portela, Maurício Teixeira Leite de Vasconcellos, Sheyla Maria Lemos Lima, Bárbara do Nascimento Caldas, Mônica Martins, Carla Lourenço Tavares de Andrade, Thatiana Lameira Maciel Amaral, Cledir de Araújo Amaral, Michelle Bernardino, Letícia Soares and 3 more

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

13 authors.

Margareth Crisóstomo PortelaEscola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil margareth.portela@fiocruz.br.ORCID http://orcid.org/0000-0002-9858-9276
Maurício Teixeira Leite de VasconcellosSociedade para o Desenvolvimento da Pesquisa Científica (SCIENCE), Rio de Janeiro, Brazil.
Sheyla Maria Lemos LimaEscola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.
Bárbara do Nascimento CaldasEscola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.ORCID http://orcid.org/0000-0001-7174-6393
Mônica MartinsEscola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.
Carla Lourenço Tavares de AndradeEscola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.
Thatiana Lameira Maciel AmaralUniversidade Federal do Acre, Rio Branco, Brazil.
Cledir de Araújo AmaralInstituto Federal do Acre, Rio Branco, Brazil.
Michelle BernardinoEscola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.
Letícia SoaresPatient-Led Research Collaborative, Salvador, Brazil.
Elisabeth StelsonT. H. Chan School of Public Health, Harvard University, Cambridge, Massachusetts, USA.
Emma-Louise AvelingT. H. Chan School of Public Health, Harvard University, Cambridge, Massachusetts, USA.
Meredith B RosenthalT. H. Chan School of Public Health, Harvard University, Cambridge, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPost-COVID-19 condition, or syndrome, also known as long COVID, is an infection-associated chronic condition that can develop after a SARS-CoV-2 infection and last at least 3 months to years. Despite representing a high burden for the Unified Health System (SUS), which has affected millions of Brazilians, it has received limited attention in Brazil. Prevalence studies to date have failed to include a broad representation of the population, and there has been insufficient exploration of the impact on people's lives and the burden of and barriers to accessing health services. This article presents the research protocol for the quantitative component of a mixed methods project to produce evidence to inform SUS's provision of care for long COVID. The protocol was designed to study long COVID in SUS patients hospitalised for COVID-19 in a large city in Southeast Brazil to capture symptoms and factors associated with the syndrome, effects on quality of life and employment, health needs, use of health services and barriers to accessing necessary healthcare. METHODS AND ANALYSIS: An ambidirectional cohort study to capture data retrospectively and prospectively from adults previously discharged from SUS hospitals for COVID-19. The study involves up to two telephone surveys with the patients or proxies selected from a sampling plan for population estimates. Survey questions include baseline and follow-up data on demographic, socioeconomic, comorbidities, work status, health-related quality of life, vaccination status, long COVID symptoms, healthcare needs, use and barriers to access. Descriptive and appropriate multivariable analyses will be employed. ETHICS AND DISSEMINATION: The project was approved by the Research Ethics Committees of participant institutions and by the Brazilian National Research Ethics Commission. All participants provided verbal consent. We plan to publish articles in scientific journals and multimedia resources for SUS professionals and the general population.

Indexed as

COVID-19Health Services AccessibilitySARS-CoV-2AdultBrazilCohort StudiesHealth Services Needs and DemandHumansPost-Acute COVID-19 SyndromeQuality of LifeResearch DesignRetrospective StudiesCOVID-19Health ServicesPost-Acute COVID-19 SyndromePUBLIC HEALTHResearch Design

Identifiers

PMID39515869
PMCPMC12001347

What OpenQuestion holds

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LicenceCC BY-NC
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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.