Evidence map›Paper›PMID 34327457›Full record

ArticleAmerican journal of preventive cardiology2020

Association of cardiovascular risk factor profile and financial hardship from medical bills among non-elderly adults in the United States.

Gowtham R Grandhi, Javier Valero-Elizondo, Reed Mszar, Eric J Brandt, Amarnath Annapureddy, Rohan Khera, Anshul Saxena, Salim S Virani, Ron Blankstein, Nihar R Desai and 4 more

Open access · goldAbstract read
In one paragraph

Article in American journal of preventive cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
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  5. Article
  6. Article
  7. Does financial hardship associate with abnormal quantitative myocardial perfusion and major adverse cardiovascular event?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
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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

14 authors at 9 institutions in 1 country.

Gowtham R GrandhiDepartment of Medicine, MedStar Union Memorial Hospital, Baltimore, MD, USA.
Javier Valero-ElizondoDivision of Cardiovascular Prevention & Wellness, Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA.
Reed MszarDepartment of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA.
Eric J BrandtSection of Cardiovascular Medicine, Department of Medicine, Yale School of Medicine, New Haven, CT, USA.
Amarnath AnnapureddyCenter for Outcomes Research and Evaluation, Yale New Haven Health, New Haven, CT, USA.
Rohan KheraDivision of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Anshul SaxenaCenter for Healthcare Advancement and Outcomes, Baptist Health South Florida, Miami, FL, USA.
Salim S ViraniMichael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA.
Ron BlanksteinCardiovascular Division and Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
Nihar R DesaiCenter for Outcomes Research and Evaluation, Yale New Haven Health, New Haven, CT, USA.
Michael J BlahaThe Johns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Baltimore, MD, USA.
Faisal H CheemaUniversity of Houston College of Medicine, Houston, TX, USA.
Farhaan S VahidyCenter for Outcomes Research, Houston Methodist Neurological Institute, Houston, TX, USA.
Khurram NasirDivision of Cardiovascular Prevention & Wellness, Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA.
Houston Methodist · USYale University · USBaptist Hospital of Miami · USBrigham and Women's Hospital · USMedStar Union Memorial Hospital · USMichael E. DeBakey VA Medical Center · USThe University of Texas Southwestern Medical Center · USUniversity of Houston · USYale New Haven Health System · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NRSA Training CoreTL1TR001864 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$9.9M
NCATS NIH HHS TL1 TR001864NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundWhile optimal cardiovascular risk factor (CRF) profile is associated with lower mortality, morbidity, and healthcare expenditures among individuals with atherosclerotic cardiovascular disease (ASCVD), less is known regarding its impact on financial hardship from medical bills. Therefore, we assessed whether an optimal CRF profile is associated with a lower burden of financial hardship from medical bills and a reduction in cost-related barriers to health.

methodsWe used a nationally representative sample of adults between 18 and 64 years from the National Health Interview Survey between 2013 and 2017. We assessed ASCVD status and the number of risk factors to categorize the study population into 4 mutually exclusive categories: ASCVD (irrespective of CRF profile) and non-ASCVD with poor, average, and optimal CRF profile. Adjusted logistic regression model was used to determine the association of ASCVD/CRF profile with financial hardship from medical bills and cost-related barriers to health (cost-related medication non-adherence (CRN), foregone/delayed care, and high financial distress).

resultsWe included 119,388 non-elderly adults, representing 189 million individuals annually across the United States. Non-ASCVD/optimal CRF profile individuals had a lower prevalence of financial hardship and an inability paying medical bills when compared with individuals with ASCVD (24% vs 45% and 6% vs 19%, respectively). Among individuals without ASCVD and an optimal CRF profile, the prevalence of each cost-related barrier to health was <50% compared with individuals with ASCVD. Poor/low income and uninsured individuals within non-ASCVD/average CRF profile strata had a lower prevalence of financial hardship and an inability paying medical bills when compared with middle/high income and insured individuals with ASCVD. Non-ASCVD individuals with optimal CRF profile had the lowest odds of all barriers to health.

conclusionOptimal CRF profile is associated with a lower prevalence of financial hardship from medical bills and cost-related barriers to health despite lower income and lack of insurance.

Indexed as

Cardiovascular diseaseCostFinancial hardshipOutcomesRisk factors

Identifiers

PMID34327457
PMCPMC8315456
OpenAlexW3043163635

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.