Financial barriers in accessing medical care for peripheral artery disease are associated with delay of presentation and adverse health status outcomes in the United States.


Journal

Vascular medicine (London, England)
ISSN: 1477-0377
Titre abrégé: Vasc Med
Pays: England
ID NLM: 9610930

Informations de publication

Date de publication:
02 2020
Historique:
pubmed: 12 10 2019
medline: 21 8 2020
entrez: 12 10 2019
Statut: ppublish

Résumé

Patient-reported difficulties in affording health care and their association with health status outcomes in peripheral artery disease (PAD) have never been studied. We sought to determine whether financial barriers affected PAD symptoms at presentation, treatment patterns, and patient-reported health status in the year following presentation. A total of 797 United States (US) patients with PAD were identified from the Patient-centered Outcomes Related to TReatment Practices in Peripheral Arterial Disease: Investigating Trajectories (PORTRAIT) study, a prospective, multicenter registry of patients presenting to vascular specialty clinics with PAD. Financial barriers were defined as a composite of no insurance and underinsurance. Disease-specific health status was measured by Peripheral Artery Questionnaire (PAQ) and general health-related quality of life was measured by EuroQol 5 (EQ5D) dimensions at presentation and at 3, 6, and 12 months of follow-up. Among 797 US patients, 21% (

Identifiants

pubmed: 31603393
doi: 10.1177/1358863X19872542
doi:

Banques de données

ClinicalTrials.gov
['NCT01419080']

Types de publication

Journal Article Multicenter Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

13-24

Auteurs

Qurat-Ul-Ain Jelani (QU)

Department of Medicine, Division of Cardiology, Yale University School of Medicine, New Haven, CT, USA.

Sunny Jhamnani (S)

Department of Medicine, Division of Cardiology, Yale University School of Medicine, New Haven, CT, USA.

Erica S Spatz (ES)

Department of Medicine, Division of Cardiology, Yale University School of Medicine, New Haven, CT, USA.

John Spertus (J)

Department of Statistics, Saint Luke's Mid America Heart Institute, Kansas City, MO, USA.
Biomedical & Health Informatics, University of Missouri-Kansas City School of Medicine, Kansas City, MO, USA.

Kim G Smolderen (KG)

Department of Statistics, Saint Luke's Mid America Heart Institute, Kansas City, MO, USA.
Biomedical & Health Informatics, University of Missouri-Kansas City School of Medicine, Kansas City, MO, USA.

Jingyan Wang (J)

Department of Statistics, Saint Luke's Mid America Heart Institute, Kansas City, MO, USA.

Nihar R Desai (NR)

Department of Medicine, Division of Cardiology, Yale University School of Medicine, New Haven, CT, USA.

Philip Jones (P)

Department of Statistics, Saint Luke's Mid America Heart Institute, Kansas City, MO, USA.

Kensey Gosch (K)

Department of Statistics, Saint Luke's Mid America Heart Institute, Kansas City, MO, USA.

Samit Shah (S)

Department of Medicine, Division of Cardiology, Yale University School of Medicine, New Haven, CT, USA.

Robert Attaran (R)

Department of Medicine, Division of Cardiology, Yale University School of Medicine, New Haven, CT, USA.

Carlos Mena-Hurtado (C)

Department of Medicine, Division of Cardiology, Yale University School of Medicine, New Haven, CT, USA.

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Classifications MeSH