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Geographic Variation in the Quality of Heart Failure Care Among U.S. Veterans
Revanth S Kosaraju1, Gregg C Fonarow2, Michael K Ong3
1Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, USA. Electronic address: https://twitter.com/revanthsk12.
Insights
Geographic variations in heart failure with reduced ejection fraction (HFrEF) care exist. Targeted strategies are needed to improve guideline-directed medical therapies (GDMT) prescription in underserved regions.
Area of Science:
- Cardiology
- Health Services Research
- Public Health
Background:
- The prevalence of heart failure (HF) is increasing globally.
- Guideline-directed medical therapies (GDMT) are proven to reduce adverse outcomes in patients with heart failure with reduced ejection fraction (HFrEF).
- Geographic variations in the quality of HFrEF care are not well understood.
Purpose of the Study:
- To evaluate national variations in the prescription of GDMT for HFrEF within the Veterans Health Administration (VHA).
- To identify potential associations between geographic disparities in GDMT prescription and socioeconomic factors.
Main Methods:
- A cohort of US Veterans with HFrEF was identified.
- Patient addresses were linked to hospital referral regions (HRRs).
- GDMT prescription data were analyzed from July 2020 to July 2021. Composite GDMT scores and prescription rates within HRRs were calculated. Geographic variation was visualized using choropleth maps, and associations with demographic factors were assessed via linear regression.
Main Results:
- Significant geographic variation in GDMT prescription rates and composite scores was observed across HRRs.
- Prescription rates varied by medication class, with beta-blockers being the most prescribed (80%) and angiotensin receptor-neprilysin inhibitors the least (12.2%).
- Lower GDMT performance was associated with higher income inequality (Gini coefficient) and a greater percentage of low-income residents within HRRs.
Conclusions:
- Substantial geographic disparities in HFrEF care quality, specifically GDMT prescription, are evident within the VHA.
- Targeted interventions are necessary to improve GDMT uptake in lower-performing regions, particularly those facing socioeconomic challenges like poverty and income inequality.
Background:
The 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.
Objectives:
This study evaluated variation nationally for prescription of GDMT within the Veterans Health Administration.
Methods:
A 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.
Results:
Maps 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).
Conclusions:
Wide 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.
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