Evidence map›Paper›PMID 37542510›Full record

ArticleJACC. Heart failure2023

Geographic Variation in the Quality of Heart Failure Care Among U.S. Veterans.

Revanth S Kosaraju, Gregg C Fonarow, Michael K Ong, Paul A Heidenreich, Donna L Washington, Xiaoyan Wang, Boback Ziaeian

Open access · greenAbstract read
In one paragraph

Article in JACC. Heart failure, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
4.0field-weighted citation impact, top 5% of its field
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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Revanth S KosarajuDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, USA. Electronic address: https://twitter.com/revanthsk12.
Gregg C FonarowDivision of Cardiology, David Geffen School of Medicine at UCLA, Los Angeles, California, USA. Electronic address: https://twitter.com/gcfmd.
Michael K OngDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, USA; Veterans Affairs Health Services Research and Development, Center for the Study of Healthcare Innovation, Implementation and Policy, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California, USA; Department of Health Policy and Management, UCLA Jonathan and Karin Fielding School of Public Health, Los Angeles, California, USA. Electronic address: https://twitter.com/michael_ong.
Paul A HeidenreichDepartment of Medicine, Veterans Affairs Palo Alto Healthcare System, Palo Alto, California, USA. Electronic address: https://twitter.com/paheidenreich.
Donna L WashingtonDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, USA; Veterans Affairs Health Services Research and Development, Center for the Study of Healthcare Innovation, Implementation and Policy, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California, USA.
Xiaoyan WangDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.
Boback ZiaeianDivision of Cardiology, David Geffen School of Medicine at UCLA, Los Angeles, California, USA; Veterans Affairs Health Services Research and Development, Center for the Study of Healthcare Innovation, Implementation and Policy, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California, USA. Electronic address: bziaeian@mednet.ucla.edu.
University of California, Los Angeles · USTwitter (United States) · US

Funding

The Effect of Nanoparticle Encapsulated Resveratrol on Treatment of PeriodontitisKL2TR001882 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Elizabeta Nemeth · 2016 to 2026
$13.1M
NCATS NIH HHS KL2 TR001882
6 · The paper itself

Abstract

backgroundThe burden of heart failure is growing. Guideline-directed medical therapies (GDMT) reduce adverse outcomes in heart failure with reduced ejection fraction (HFrEF). Whether there is geographic variation in HFrEF quality of care is not well described.

objectivesThis study evaluated variation nationally for prescription of GDMT within the Veterans Health Administration.

methodsA cohort of Veterans with HFrEF had their address linked to hospital referral regions (HRRs). GDMT prescription was defined using pharmacy data between July 1, 2020, and July 1, 2021. Within HRRs, we calculated the percentage of Veterans prescribed GDMT and a composite GDMT z-score. National choropleth maps were created to evaluate prescription variation. Associations between GDMT performance and demographic characteristics were evaluated using linear regression.

resultsMaps demonstrated significant variation in the HRR composite score and GDMT prescriptions. Within HRRs, the prescription of beta-blockers to Veterans was highest with a median of 80% (IQR: 77.3%-82.2%) followed by angiotensin-converting enzyme inhibitor/angiotensin receptor blocker/angiotensin receptor-neprilysin inhibitors (69.3%; IQR: 66.4%-72.1%), sodium-glucose cotransporter-2 inhibitors (10.3%; IQR: 7.7%-12.8%), mineralocorticoid receptor antagonists (29.2%; IQR: 25.8%-33.9%), and angiotensin receptor-neprilysin inhibitors (12.2%; IQR: 8.6%-15.3%). HRR composite GDMT z-scores were inversely associated with the HRR median Gini coefficient (R = -0.13; P = 0.0218) and the percentage of low-income residents (R = -0.117; P = 0.0413).

conclusionsWide geographic differences exist for HFrEF care. Targeted strategies may be required to increase GDMT prescription for Veterans in lower-performing regions, including those affected by income inequality and poverty.

Indexed as

Heart FailureSodium-Glucose Transporter 2 InhibitorsVeteransAdrenergic beta-AntagonistsAngiotensin Receptor AntagonistsHumansNeprilysinReceptors, AngiotensinStroke VolumeAdrenergic beta-AntagonistsAngiotensin Receptor AntagonistsNeprilysinReceptors, AngiotensinSodium-Glucose Transporter 2 Inhibitorsdifferencesguideline-directed medical therapiesheart failuremapnationalVeterans Affairs

Identifiers

PMID37542510
PMCPMC10792103
OpenAlexW4385480950

What OpenQuestion holds

Textmetadata
LicenceTDM
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.