Evidence map›Paper›PMID 37039976›Full record

ReviewJournal of racial and ethnic health disparities2024

A Cyclical Model of Barriers to Healthcare for the Hispanic/Latinx Population.

Samantha Brener, Stephanie Jiang, Emma Hazenberg, Daniel Herrera

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of racial and ethnic health disparities, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

4 authors.

Samantha BrenerMedical College of Georgia, Augusta, GA, USA. sbrener@augusta.edu.ORCID 0000-0003-3643-7258
Stephanie JiangMedical College of Georgia, Augusta, GA, USA.
Emma HazenbergMedical College of Georgia, Augusta, GA, USA.
Daniel HerreraMedical College of Georgia, Augusta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the Hispanic/Latinx population in the United States continues to grow, disparities in health outcomes for this population continue to widen. Worse health outcomes can be attributed to a variety of barriers to healthcare specific to this population, but scant literature exists that presents the connections among them. Many of these barriers to healthcare stem from institutional racism, disparities in socioeconomic status, and xenophobia. To synthesize barriers that hinder the Hispanic/Latinx population from receiving quality healthcare, we propose a cyclical model. The model begins with obstacles present before even visiting a healthcare provider, including structural inequalities, cultural beliefs, documentation status, scheduling, and transportation. Next, the model poses barriers during the visit with a healthcare provider, including problems with provider bias, cultural barriers, and interpretation services. Finally, the model presents barriers that occur after the medical encounter, including payment, medication adherence, indigent care, and follow-up appointments or referrals. Once the patient needs to schedule a follow-up appointment or referral, the cycle restarts with the barriers present before accessing care. All of these barriers to healthcare are areas for potential mitigation of the healthcare disparities that currently disadvantage the Hispanic/Latinx population. The proposed Hispanic Cyclical Healthcare Barrier (HCHB) model helps organize solutions to the barriers, illustrating the need for multiple interventions due to the interconnectedness of the barriers.

Indexed as

Health Services AccessibilityHispanic or LatinoHealthcare DisparitiesHealth FacilitiesHumansUnited StatesCultural biasHealthcare accessHealthcare barriersHealthcare disparitiesHispanicLatinx

Identifiers

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.