Evidence map›Paper›PMID 41530733›Full record

ArticleBMC medical education2026

Evaluating the impact of the 2nd Annual West Texas Health Disparities Symposium: a comprehensive survey analysis.

Anya Pazhoor, Abdulkader Almosa, Julia Guido, Jad Zeitouni, Reagan A Collins, Erin Toro, Amadeus Ramirez, Sergio Saucedo, Alyson Willis, Junia Lee and 3 more

Abstract read
In one paragraph

Article in BMC medical education, 2026. 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

13 authors.

Anya PazhoorSchool of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA.
Abdulkader AlmosaHonors College, Texas Tech University, Lubbock, TX, USA.
Julia GuidoPaul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, TX, USA.
Jad ZeitouniSchool of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA.
Reagan A CollinsSchool of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA.
Erin ToroPaul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, TX, USA.
Amadeus RamirezPaul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, TX, USA.
Sergio SaucedoPaul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, TX, USA.
Alyson WillisSchool of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA.
Junia LeeHonors College, Texas Tech University, Lubbock, TX, USA.
Ebtesam Attaya IslamSchool of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA.
John A GriswoldSchool of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX, USA.
Jessica ChaconPaul L. Foster School of Medicine, Texas Tech University Health Sciences Center, El Paso, TX, USA. Jessica.Chacon@ttuhsc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHealth disparities in West Texas disproportionately affect rural and underserved communities, contributing to limited healthcare access and adverse health outcomes. The 2nd Annual West Texas Health Disparities Symposium brought together over 100 healthcare professionals, researchers, and students to explore socioeconomic, geographic, and cultural factors driving these disparities. This study assesses the symposium's impact on attendees' knowledge and perceptions through pre- and post-symposium surveys.

methodsElectronic surveys were distributed before and after the 2024 symposium. Questions assessed familiarity with topics, including regional health disparities, policy impacts on healthcare practices, and intervention strategies. The data were analyzed via descriptive statistics and Wilcoxon rank-sum tests.

resultsAmong the 139 registrants, 56 completed the presurvey, and 36 completed the post-survey. The survey respondents were predominantly female (66.0%), White (61.0%), Asian (20.0%), and aged 18-24 years (34.0%). Most were healthcare professionals (48.5%) or students (42.4%). While 73.0% had previously attended a symposium, only 36.0% had prior experience with health disparity events. Primary motivations for attendance included education on health disparities (86.0%), new research (63.0%), and networking (57.0%). Post-symposium results revealed significant increases in familiarity with policy impacts on healthcare (p = 0.01), understanding policy change avenues (p ≤ 0.01), recognition of regional health disparities (p = 0.017), and ability to present relevant data (p ≤ 0.001). Additionally, participants reported improved ability to propose interventions (p ≤ 0.001). Nearly all respondents (94.0%) felt that the symposium met their expectations, and 90.0% would recommend it to others.

conclusionsThe symposium significantly enhanced participants' understanding of regional health disparities while equipping them with practical strategies to address these challenges. The overwhelmingly positive feedback underscores the importance of targeted educational incentives in fostering understanding, shaping perceptions, and informing public health discussions, thereby reinforcing efforts to reduce healthcare disparities in West Texas.

Indexed as

Congresses as TopicHealthcare DisparitiesHealth Knowledge, Attitudes, PracticeAdolescentFemaleHumansMaleSocioeconomic Disparities in HealthSurveys and QuestionnairesTexasYoung AdultHealth disparitiesPolicyProgram evaluationPublic healthRural healthSurvey analysisSymposium, community-based educationWest Texas

Identifiers

PMID41530733
PMCPMC12888402

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.