Evidence map›Paper›PMID 37767261›Full record

ArticleCureus2023

Diversity Differences Among Cardiovascular Fellowships Across Five Geographic Regions in the United States.

Makenzie Dye, Azl Saeed, Trang Q Nguyen, Sarah Yu, Jerome Bey, Dylan Hefner, Casey T Walk, Rebekah Lantz

Abstract read
In one paragraph

Article in Cureus, 2023. 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

8 authors.

Makenzie DyeCollege of Medicine, Wright State University Boonshoft School of Medicine, Fairborn, USA.
Azl SaeedCollege of Medicine, Wright State University Boonshoft School of Medicine, Fairborn, USA.
Trang Q NguyenCollege of Medicine, Wright State University Boonshoft School of Medicine, Fairborn, USA.
Sarah YuCollege of Medicine, Wright State University Boonshoft School of Medicine, Fairborn, USA.
Jerome BeyCollege of Medicine, Wright State University Boonshoft School of Medicine, Fairborn, USA.
Dylan HefnerCollege of Medicine, Wright State University Boonshoft School of Medicine, Fairborn, USA.
Casey T WalkSurgery, Wright State University, Dayton, USA.
Rebekah LantzInternal Medicine, Miami Valley Hospital, Dayton, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Diversity and inclusion in cardiovascular fellowships are necessary for addressing the healthcare needs of diverse patient populations. However, regional disparities in the diversity of these programs persist, diminishing efforts to create a representative workforce. We observe the regional differences in the diversity of cardiovascular fellowship programs, focusing on gender, doctorate designation, and graduation within the United States (US) or other. We hypothesized that males, medical doctors (MD), and US graduates would be in majority across all regions. Methods Data for cardiovascular fellowships from the Fellowship and Residency Electronic Database Access (FREIDA) system for the matriculation year 2022-2023 was obtained to assess the representation of male vs female gender, MD vs osteopathic doctor (DO) designation, and US vs non-US graduate. We then compared these backgrounds to five defined regions (Midwest, Northeast, Southeast, Southwest, and West) in the United States to define representation for backgrounds across geographic areas. Statistical significance was determined by p<0.05 with the use of SAS Studio 3.8, version 9.4 (Cary, NC: SAS Institute, Inc.), and Wilson score for confidence intervals. Results We found significant disparities across all background factors for all regions. This includes that females, DOs, and non-US graduates were underrepresented among Midwest, Northeast, Southeast, Southwest, and West regions, and the p-value was <0.001 for all variations. Specifically for Midwest, the female frequency was 155 (23.81%; CI: 21, 27; p<0.001), DO frequency was 101 (15.51%; CI: 13, 19; p<0.001), and non-US graduate frequency was 206 (31.84%; CI: 28, 36; p<0.001). For Northeast, the female frequency was 231 (29.62; CI: 27, 33; p<0.001), DO frequency was 72 (9.22; CI: 7, 11; p<0.001), and non-US graduate frequency was 239 (30.68; CI 28, 34; p<0.001). For Southeast, the female frequency was 178 (25.99; CI: 23, 29; p<0.001), DO frequency was 67 (9.78; CI: 8, 12; p<0.001), and non-US graduate frequency 279 (41.46; CI: 38, 45; p<0.001). For Southwest, the female frequency was 74 (26.71; CI: 22, 32; p<0.001), DO frequency was 21 (7.58; CI 5, 11; p<0.001), and non-US graduate frequency was 110 (39.71; CI: 34,46; p<0.001). For West, the female frequency was 107 (31.75; CI 27, 37; p<0.001), DO frequency was 15 (4.45; CI: 3, 7; p<0.001), and non-US graduate frequency was 54 (16.07; CI: 13, 20; p<0.001). Conclusion We emphasize the regional disparities for females, DOs, and non-US graduates within cardiovascular fellowships in the past matriculation year. Understanding that we have not reached diversity goals allows for further reflection and implementation of targeted interventions and initiatives aimed at promoting equal opportunities for applicants. This is true for all regions of the United States. By addressing these disparities, fellowship programs can more effectively mirror the diverse patient populations they serve and foster a healthcare environment that is inclusive and accommodating. This, in turn, contributes to the overall enhancement of healthcare outcomes.

Indexed as

cardiology fellowshipfreidagender representationgeneral cardiologygmeimgsosteopathrecent dataregional disparityus regions

Identifiers

PMID37767261
PMCPMC10522360

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.