Evidence map›Paper›PMID 39227798›Full record

ArticleBMC pregnancy and childbirth2024

Risk perception increase due to COVID-19 impacted antenatal care utilization among women in an indigenous community.

Paulina Gómez-Chávez, Valeria M Soriano-Avelar, Alejandra Aguilar-Rodríguez, Mario Rojas-Russell, Lilia V Castro-Porras

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

5 authors.

Paulina Gómez-ChávezPolicies, Population and Health Research Center, Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico.
Valeria M Soriano-AvelarPolicies, Population and Health Research Center, Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico.
Alejandra Aguilar-RodríguezPolicies, Population and Health Research Center, Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico.
Mario Rojas-RussellFacultad de Estudios Superiores Zaragoza, UNAM, Mexico City, Mexico.
Lilia V Castro-PorrasPolicies, Population and Health Research Center, Faculty of Medicine, National Autonomous University of Mexico, Mexico City, Mexico. liliacastrop@comunidad.unam.mx.

Funding

Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México IA304521.
6 · The paper itself

Abstract

backgroundRisk perception varies greatly among individuals, affecting their behavior and decision-making in risky situations. The COVID-19 pandemic affected worldwide, but the role of risk perception related to COVID-19 in ethnic minorities in Mexico is unclear. This study quantifies the impact of COVID-related risk perception (susceptibility and severity) and perceived fear on the utilization of antenatal care services among indigenous women in San Cristobal de las Casas, Chiapas, Mexico.

methodsWe conducted a retrospective crossover study between June and December 2021, interviewing 98 women from San Cristóbal de las Casas, Chiapas. In a crossover design, each subject acts as their own control, so we required the participants to have a previous pregnancy experience. A logistic model was used to calculate the odds ratio for the outcome of having an adequate number of antenatal care visits. The analysis considered the period (during or before the pandemic) as well as perceived severity and susceptibility levels as independent variables.

resultsCOVID-19 reduced antenatal care utilization by 50%. During the pandemic, the adjusted odds ratio for attending health antenatal care services was 0.83 (95% CI: 4.8, 14.5) compared to pre pandemics. Adjusted for fear of contagion, the mother's perception of severity was associated with an increased likelihood of an insufficient number of antenatal visits. OR = 0.25 (95% CI: 0.10, 0.65).

conclusionThe risk perception for COVID-19 decreased the likelihood of receiving an adequate number of antenatal care visits.

Indexed as

COVID-19Patient Acceptance of Health CarePrenatal CareSARS-CoV-2AdultCross-Over StudiesFearFemaleHumansIndigenous PeoplesMexicoPerceptionPregnancyRetrospective StudiesRisk AssessmentYoung AdultAntenatal care services utilizationCOVID-19IndigenousMexicoRisk perceptionWomen

Identifiers

PMID39227798
PMCPMC11373468

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.