Evidence map›Paper›PMID 39668961›Full record

ArticleFrontiers in public health2024

The COVID-19 health emergency: the influence of the Human Development Index on the reorganization of primary care.

Ana Paula de Vechi Corrêa, Ana Cristina Ribeiro, Rodrigo das Neves Cano, Gustavo Diego Magno, Carmen Álvarez-Nieto, Silvia Carla da Silva André Uehara

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ana Paula de Vechi CorrêaNursing Department of Universidade Federal de São Carlos - UFSCar, São Carlos, Brazil.
Ana Cristina RibeiroNursing Department of Universidade Federal de São Carlos - UFSCar, São Carlos, Brazil.
Rodrigo das Neves CanoNursing Department of Universidade Federal de São Carlos - UFSCar, São Carlos, Brazil.
Gustavo Diego MagnoNursing Department of Universidade Federal de São Carlos - UFSCar, São Carlos, Brazil.
Carmen Álvarez-NietoNursing Department of Universidad de Jaén, Jaén, Spain.
Silvia Carla da Silva André UeharaNursing Department of Universidade Federal de São Carlos - UFSCar, São Carlos, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to analyze and compare the organization and care offered by Primary Health Care (PHC) to people with suspected and/or diagnosed COVID-19 in Brazilian municipalities, considering the Human Development Index (HDI). Methods: This is an analytical cross-sectional study carried out with managers of PHC services in Brazilian municipalities. The data were collected using a self-administered questionnaire via Google Forms between April and September 2022 and were analyzed using prevalence ratios, using a Poisson regression model with a random effect and a 5% significance level. Results: The results indicated that municipalities with a low HDI were the most adherent to measures to reorganize PHC services during the health emergency phase of the pandemic when compared to municipalities with a medium, high, or very high HDI. Conclusion: This may be related to the better organization and structure of this level of care in the municipalities analyzed, pointing to the need for management that considers the population's living conditions when dealing with public health emergencies.

Indexed as

COVID-19Primary Health CareBrazilCitiesCross-Sectional StudiesHuman DevelopmentHumansSARS-CoV-2Surveys and QuestionnairesCOVID-19development indicatorshealth managementprimary health carepublic health surveillance

Identifiers

PMID39668961
PMCPMC11634793

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.