Evidence map›Paper›PMID 35411496›Full record

ArticleJournal of racial and ethnic health disparities2023

Barriers and Facilitators to Prevention and Care of COVID-19 Infection in Cincinnati Latinx Families: a Community-Based Convergent Mixed Methods Study.

Keith J Martin, Carolina Castano, Sarah Geraghty, Shaina R Horner, Erin McCann, Andrew F Beck, Yingying Xu, Ligia Gomez, Christine O'Dea, Farrah Jacquez and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of racial and ethnic health disparities, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 13% of its field
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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  6. Food Insecurity among International Migrants during the COVID-19 Pandemic: A Scoping Review.International journal of environmental research and public health · 2023
    Article
  7. Article
  8. 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

12 authors at 3 institutions in 1 country.

Keith J MartinDepartment of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA. kmart116@jhmi.edu.ORCID 0000-0002-1194-9858
Carolina CastanoCastano Consulting, LLC, Cincinnati, OH, USA.
Sarah GeraghtyUniversity of Cincinnati College of Medicine, Cincinnati, OH, USA.
Shaina R HornerUniversity of Cincinnati College of Medicine, Cincinnati, OH, USA.
Erin McCannCincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Andrew F BeckCincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Yingying XuCincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Ligia GomezUniversity of Cincinnati College of Arts and Sciences, Cincinnati, OH, USA.
Christine O'DeaUniversity of Cincinnati College of Medicine, Cincinnati, OH, USA.
Farrah JacquezUniversity of Cincinnati College of Arts and Sciences, Cincinnati, OH, USA.
Vicki L Plano ClarkUniversity of Cincinnati School of Education, Cincinnati, OH, USA.
Amy R L RuleCincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Cincinnati Children's Hospital Medical Center · USUniversity of Cincinnati Medical Center · USUniversity of Cincinnati · US

Funding

LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI MEINZEN-DERR, JAREEN, STRAWN, JEFFREY ROBERT · 2015 to 2024
$37.5M
NCATS NIH HHS UL1 TR001425
6 · The paper itself

Abstract

backgroundLatinx populations have experienced disproportionately high case rates of COVID-19 across the USA. Latinx communities in non-traditional migration areas may experience greater baseline day-to-day challenges such as a lack of resources for immigrants and insufficient language services. These challenges may be exacerbated by the COVID-19 pandemic.

objectiveThis article describes the results of an initial community health needs assessment to better understand the prevention and care of COVID-19 infection in the Cincinnati Latinx community.

methodsWe used convergent mixed methods to examine barriers and facilitators to COVID-19 prevention and care for those with infection.

resultsLatinx adults ≥ 18 years old completed 255 quantitative surveys and 17 qualitative interviews. Overarching mixed methods domains included knowledge, prevention, work, challenges, and treatment. Quantitative results largely reinforced qualitative results (confirmation). Certain quantitative and qualitative results, however, diverged and expanded insights related to caring for COVID-19 infection among Latinx adults (expansion). There were infrequent contradictions between quantitative and qualitative findings (discordance). Primary barriers for the Latinx community during the COVID-19 pandemic included insecurities in food, jobs, housing, and immigration. Key facilitators included having trusted messengers of health-related information.

conclusionPublic health interventions should be centered on community partnerships and the use of trusted messengers. Wraparound services (including resources for immigrants) are essential public health services. Close partnership with employers is essential as lack of sick leave and mask supplies were more frequent barriers than knowledge. These findings emerged from experiences during the COVID-19 pandemic but likely generalize to future public health crises.

Indexed as

COVID-19Emigrants and ImmigrantsAdolescentAdultEmigration and ImmigrationHealth Services AccessibilityHispanic or LatinoHumansOhioPandemicsUnited StatesCommunityCOVID-19Health disparitiesLatinxMixed methods

Identifiers

PMID35411496
PMCPMC8999990
OpenAlexW4223529047

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.