Evidence map›Paper›PMID 38989064›Full record

ArticleHealth affairs scholar2024

Relationship between health system quality and racial and ethnic equity in diabetes care.

Michelle S Wong, Chi-Hong Tseng, Ernest Moy, Kenneth T Jones, Amit J Kothari, Donna L Washington

Abstract read
In one paragraph

Article in Health affairs scholar, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Michelle S WongHSR Center for the Study of Healthcare Innovation, Implementation & Policy (CSHIIP), VA Greater Los Angeles Healthcare System, Los Angeles, CA 90073, United States.ORCID https://orcid.org/0000-0001-7917-9696
Chi-Hong TsengDivision of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA 90024, United States.ORCID https://orcid.org/0000-0002-2549-6167
Ernest MoyUS Department of Veterans Affairs, Office of Health Equity, Washington, DC 20420, United States.ORCID https://orcid.org/0000-0002-0681-6866
Kenneth T JonesUS Department of Veterans Affairs, Office of Health Equity, Washington, DC 20420, United States.ORCID https://orcid.org/0000-0001-5206-897X
Amit J KothariOffice of the Chief of Staff, VA Greater Los Angeles Healthcare System, Los Angeles, CA 90073, United States.ORCID https://orcid.org/0009-0006-9843-7770
Donna L WashingtonHSR Center for the Study of Healthcare Innovation, Implementation & Policy (CSHIIP), VA Greater Los Angeles Healthcare System, Los Angeles, CA 90073, United States.ORCID https://orcid.org/0000-0001-7917-4609

Funding

Mitigating Racial/Ethnic and Socio-Economic Disparities in VA Care Quality and Patient ExperienceI01HX002515 · VA · VA GREATER LOS ANGELES HEALTHCARE SYSTEM · PI WASHINGTON, DONNA · 2018 to 2025
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HSRD VA I01 HX002515
6 · The paper itself

Abstract

Failing to consider disparities in quality measures, such as by race and ethnicity, may obscure inequities in care, which could exist in facilities with overall high-quality ratings. We examined the relationship between overall quality and racial and ethnic disparities in diabetes care quality by health care facility-level performance on a diabetes-related quality measure within a national dataset of veterans using Veterans Health Administration (VA) ambulatory care between March 1, 2020 and Feburary 28, 2021, and were eligible for diabetes quality assessment. We found racial and ethnic disparities in diabetes care quality existed in top-performing VA medical centers (VAMCs) among American Indian or Alaska Native (AIAN) (predicted probability = 30%), Black (predicted probability = 29%), and Hispanic VA-users (predicted probability = 30%) vs White VA-users (predicted probability = 26%). While disparities among Black and Hispanic VA-users were similar relative to White VA-users across VAMCs at all performance levels, disparities were exacerbated for AIAN and Native Hawaiian or Other Pacific Islander VA-users in bottom-performing VAMCs. Equity remains an issue even in facilities providing overall high-quality care. Integrating equity as a component of quality measures can incentivize greater focus on equity in quality improvement.

Indexed as

diabetesquality measurementracial and ethnic health equityveterans

Identifiers

PMID38989064
PMCPMC11235325

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.