Evidence map›Paper›PMID 30456578›Full record

ArticleJournal of racial and ethnic health disparities2019

Disparities in Statin Use in New York City: Implications for Health Reform.

Catherine Allende, Michael K Gusmano, Daniel Weisz

Abstract read
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In one paragraph

Article in Journal of racial and ethnic health disparities, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Catherine AllendeMemorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
Michael K GusmanoDepartment of Health Behavior, Society and Policy, Rutgers University School of Public Health, 683 Hoes Lane West, Room 311, Piscataway Township, NJ, 08854, USA. mkg93@sph.rutgers.edu.ORCID http://orcid.org/0000-0002-2337-3067
Daniel WeiszInternational Longevity Center-USA, Butler Center on Aging, 722 West 168th Street, New York, NY, 10032, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart disease is the leading cause of death in the USA, and there is an extensive literature describing disparities in the treatment of the disease. Cholesterol-lowering medications are an effective strategy for reducing the risk of cardiovascular diseases for many patients, but some who are prescribed these medications fail to take them. We examine data from the 2014 New York City Community Health Survey to investigate the factors that influence why patients are not compliant in following the prescribed regimen. We focus on adults age 45 and older who report that they are diagnosed with elevated cholesterol levels and were told by a health professional they needed to take cholesterol-lowering medication. We find that evident disparities: individuals with low incomes, those who rely on emergency departments for their healthcare, have not received medical care within the past year, are depressed, and identify as black non-Hispanic and Hispanic are less likely to adhere to a cholesterol-lowering medication program. Although Medicare beneficiaries are less likely to take cholesterol-lowering medication than those with private insurance, those who were on Medicaid or were uninsured did not report lower rates of adherence.

Indexed as

Drug MonitoringAgedCross-Sectional StudiesFemaleHealthcare DisparitiesHealth Care ReformHealth Services AccessibilityHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHypercholesterolemiaInsurance, HealthMaleMedicaidMedicareMiddle AgedNew York CityHydroxymethylglutaryl-CoA Reductase InhibitorsCholesterolHealth care disparitiesNew York City

Identifiers

What OpenQuestion holds

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Registered trials

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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.