Evidence map›Paper›PMID 40104126›Full record

ArticleFrontiers in public health2025

Disparities of healthcare utilization in sexually transmitted diseases management: focusing on racial/regional variances with U.S. national inpatient sample in 2016-2019.

Jeong-Hui Park, Ji Eun Kim, Seohyun Woo, Sun Jung Kim

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. 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

4 authors.

Jeong-Hui ParkDepartment of Health Behavior, School of Public Health, Texas A&M University, College Station, TX, United States.
Ji Eun KimDepartment of Medical Science, Soonchunhyang University Graduate School, Asan, Republic of Korea.
Seohyun WooDepartment of Medical Science, Soonchunhyang University Graduate School, Asan, Republic of Korea.
Sun Jung KimDepartment of Health Administration and Management, College of Medical Science, Soonchunhyang University, Asan, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify patient and hospital factors, such as race and region, associated with increased sexually transmitted diseases (STDs) hospital charges, and emergency room (ER) usage for significant federal funding and research allocation. Methods: The National Inpatient Sample (NIS) of the United States was used to identify patients with STDs (weighted Results: Among 22,275 national inpatients, 74% had ER visits. The number of inpatients with STDs, ER visits, and average hospital charges continuously increased during the study period. Survey logistic results showed that sex, insurance type, and geographic region were associated with higher odds of ER visits among patients. The survey's linear results demonstrated that ER visits, Hispanic ethnicity, insurance type, and specific geographic regions were associated with higher hospital charges. Conclusions: Multiple factors are related to increased healthcare costs among patients with STDs, such as ER usage, Hispanic ethnicity, and insurance type. Policy efforts should focus on reducing ER dependency through targeted outreach, improving access to preventive care, and addressing disparities based on ethnicity and insurance status to reduce healthcare costs for vulnerable populations.

Indexed as

Emergency Service, HospitalHealthcare DisparitiesInpatientsPatient Acceptance of Health CareRacial GroupsSexually Transmitted DiseasesAdolescentAdultEthnicityFemaleHospital ChargesHumansMaleMiddle AgedUnited StatesYoung Adulthealthcare utilizationhealth disparitiesNIS sampleracial and ethnic differencessexually transmitted diseases

Identifiers

PMID40104126
PMCPMC11914102

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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.