Evidence map›Paper›PMID 37641048›Full record

ArticleBMC health services research2023

Disparities in healthcare utilization by insurance status among patients with symptomatic peripheral artery disease.

Brian Witrick, Corey A Kalbaugh, Rachel Mayo, Brian Hendricks, Lu Shi

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. 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

5 authors at 4 institutions in 1 country.

Brian WitrickWest Virginia Clinical and Translational Sciences Institute, PO Box 9102, Morgantown, WV, 26506-9102, USA. brian.witrick@hsc.wvu.edu.
Corey A KalbaughDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA.
Rachel MayoDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.
Brian HendricksWest Virginia Clinical and Translational Sciences Institute, PO Box 9102, Morgantown, WV, 26506-9102, USA.
Lu ShiDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.
Clemson University · USIndiana University Bloomington · USWest Virginia University · USWest Virginia University Hospitals · US

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI JUDITH FEINBERG · 2012 to 2026
$81.0M
Identifying COVID-19 vaccine deserts using Machine Learning and Geospatial Analyses to target Community -engaged testing for vulnerable rural populations to prevent localized outbreaksU01MD017419 · NIMHD · WEST VIRGINIA UNIVERSITY · PI HENDRICKS, BRIAN, PRICE, BRADLEY · 2022 to 2023
$2.2M
Understanding and Addressing Racial Disparities in Guideline-Indicated Management of Symptomatic Peripheral Artery DiseaseK01HL146900 · NHLBI · TRUSTEES OF INDIANA UNIVERSITY · PI KALBAUGH, COREY ANDREW · 2020 to 2024
$680k
NHLBI NIH HHS K01 HL146900NIGMS NIH HHS 2U54GM104942-07NIGMS NIH HHS U54 GM104942NIMHD NIH HHS 5U01MD017419-02NIMHD NIH HHS U01 MD017419
6 · The paper itself

Abstract

backgroundPeripheral artery disease (PAD) is a common circulatory disorder associated with increased hospitalizations and significant health care-related expenditures. Among patients with PAD, insurance status is an important determinant of health care utilization, treatment of disease, and treatment outcomes. However, little is known about PAD-costs differences across different insurance providers. In this study we examined possible disparities in length of stay and total charge of inpatient hospitalizations among patients with PAD by insurance type.

methodsWe conducted a cross-sectional analysis of length of stay and total charge by insurance provider for all hospitalizations for individuals with PAD in South Carolina (2010-2018). Cross-classified multilevel modeling was applied to account for the non-nested hierarchical structure of the data, with county and hospital included as random effects. Analyses were adjusted for patient age, race/ethnicity, county, year of admission, admission type, all-patient refined diagnostic groups, and Charlson comorbidity index.

resultsAmong 385,018 hospitalizations for individuals with PAD in South Carolina, the median length of stay was 4 days (IQR: 5) and the median total charge of hospitalization was $43,232 (IQR: $52,405). Length of stay and total charge varied significantly by insurance provider. Medicare patients had increased length of stay (IRR = 1.08, 95 CI%: 1.07, 1.09) and higher total charges (β: 0.012, 95% CI: 0.007, 0.178) than patients with private insurance. Medicaid patients also had increased length of stay (IRR = 1.26, 95% CI: 1.24,1.28) but had lower total charges (β: -0.022, 95% CI: -0.003. -0.015) than patients with private insurance.

conclusionsInsurance status was associated with inpatient length of stay and total charges in patients with PAD. It is essential that Medicare and Medicaid individuals with PAD receive proper management and care of their PAD, particularly in the primary care settings, to prevent hospitalizations and reduce the excess burden on these patients.

Indexed as

MedicarePeripheral Arterial DiseaseAgedCross-Sectional StudiesHumansInpatientsInsurance CoveragePatient Acceptance of Health CareUnited StatesHealthcare utilizationInsurance statusLength of StayPADPeripheral artery disease

Identifiers

PMID37641048
PMCPMC10463334
OpenAlexW4386219328

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.