Literature DB >> 34627781

Clinician Specialty, Access to Care, and Outcomes Among Patients with Peripheral Artery Disease.

E Hope Weissler1, Cassie B Ford2, Dennis I Narcisse3, Steven J Lippmann2, Michelle M Smerek2, Melissa A Greiner2, N Chantelle Hardy2, Benjamin O'Brien2, R Casey Sullivan4, Adam J Brock3, Chandler Long5, Lesley H Curtis6, Manesh R Patel7, W Schuyler Jones8.   

Abstract

BACKGROUND: Understanding the relationship between patterns of peripheral artery disease and outcomes is an essential step toward improving care and outcomes. We hypothesized that clinician specialty would be associated with occurrence of major adverse vascular events (MAVE).
METHODS: Patients with at least 1 peripheral artery disease-related encounter in our health system and fee-for-service Medicare were divided into groups based on the specialty of the clinician (ie, cardiologist, surgeon, podiatrist, primary care, or other) providing a plurality of peripheral artery disease-coded care in the year prior to index encounter. The primary outcome was MAVE (a composite of all-cause mortality, myocardial infarction, stroke, lower extremity revascularization, and lower extremity amputation).
RESULTS: The cohort included 1768 patients, of whom 30.0% were Black, 23.9% were Medicaid dual-enrollment eligible, and 31.1% lived in rural areas. Patients receiving a plurality of their care from podiatrists had the highest 1-year rates of MAVE (34.4%, P <.001), hospitalization (65.9%, P <.001), and amputations (22.6%, P <.001). Clinician specialty was not associated with outcomes after adjustment. Patients who were Medicaid dual-eligible had higher adjusted risks of mortality (adjusted hazard ratio [HRadj] 1.54, 95% confidence interval [CI] 1.11-2.14) and all-cause hospitalization (HRadj 1.20, 95% CI 1.03-1.40) and patients who were Black had a higher adjusted risk of amputation (HRadj 1.49, 95% CI 1.03-2.15).
CONCLUSIONS: Clinician specialty was not associated with worse outcomes after adjustment, but certain socioeconomic factors were. The effects of clinician specialty and socioeconomic status were likely attenuated by the fact that all patients in this study had health insurance; these analyses require confirmation in a more representative cohort.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Health services; Peripheral artery disease; Vascular medicine; Vascular surgery

Mesh:

Year:  2021        PMID: 34627781      PMCID: PMC8840959          DOI: 10.1016/j.amjmed.2021.08.025

Source DB:  PubMed          Journal:  Am J Med        ISSN: 0002-9343            Impact factor:   4.965


  11 in total

1.  Lower-extremity endovascular interventions for Medicare beneficiaries: comparative effectiveness as a function of provider specialty.

Authors:  Abdul M Zafar; Rajoo Dhangana; Timothy P Murphy; Scott C Goodwin; Richard Duszak; Charles E Ray; Nikolay E Manolov
Journal:  J Vasc Interv Radiol       Date:  2012-01       Impact factor: 3.464

2.  Ethnic-specific prevalence of peripheral arterial disease in the United States.

Authors:  Matthew A Allison; Elena Ho; Julie O Denenberg; Robert D Langer; Anne B Newman; Richard R Fabsitz; Michael H Criqui
Journal:  Am J Prev Med       Date:  2007-04       Impact factor: 5.043

3.  Validity of Peripheral Arterial Disease Diagnoses in the Danish National Patient Registry.

Authors:  A N Lasota; K Overvad; H H Eriksen; A Tjønneland; E B Schmidt; M-L M Grønholdt
Journal:  Eur J Vasc Endovasc Surg       Date:  2017-02-07       Impact factor: 7.069

4.  Administrative data are not sensitive for the detection of peripheral artery disease in the community.

Authors:  Yongzhe Hong; Meghan Sebastianski; Mark Makowsky; Ross Tsuyuki; M Sean McMurtry
Journal:  Vasc Med       Date:  2016-04-25       Impact factor: 3.239

5.  Accuracy of ICD-9-CM codes for identifying cardiovascular and stroke risk factors.

Authors:  Elena Birman-Deych; Amy D Waterman; Yan Yan; David S Nilasena; Martha J Radford; Brian F Gage
Journal:  Med Care       Date:  2005-05       Impact factor: 2.983

6.  Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

Authors:  Hude Quan; Vijaya Sundararajan; Patricia Halfon; Andrew Fong; Bernard Burnand; Jean-Christophe Luthi; L Duncan Saunders; Cynthia A Beck; Thomas E Feasby; William A Ghali
Journal:  Med Care       Date:  2005-11       Impact factor: 2.983

7.  Outcomes of endovascular lower extremity interventions depend more on indication than physician specialty.

Authors:  Justin R Wallace; Theodore Yuo; Luke Marone; Rabih A Chaer; Michel S Makaroun
Journal:  J Vasc Surg       Date:  2013-10-03       Impact factor: 4.268

8.  Do differences in hospital and surgeon quality explain racial disparities in lower-extremity vascular amputations?

Authors:  Scott E Regenbogen; Atul A Gawande; Stuart R Lipsitz; Caprice C Greenberg; Ashish K Jha
Journal:  Ann Surg       Date:  2009-09       Impact factor: 12.969

9.  Type 2 diabetes mellitus is a strong predictor of LDL cholesterol target achievement in patients with peripheral artery disease.

Authors:  Christoph H Saely; Simon Sternbauer; Alexander Vonbank; Christine Heinzle; Daniela Zanolin-Purin; Barbara Larcher; Arthur Mader; Andreas Leiherer; Axel Muendlein; Heinz Drexel
Journal:  J Diabetes Complications       Date:  2020-07-28       Impact factor: 2.852

10.  Frequency of Care and Mortality Following an Incident Diagnosis of Peripheral Artery Disease in the Inpatient or Outpatient Setting: The ARIC (Atherosclerosis Risk in Communities) Study.

Authors:  Corey A Kalbaugh; Laura Loehr; Lisa Wruck; Jennifer L Lund; Kunihiro Matsushita; Lindsay G S Bengtson; Gerardo Heiss; Anna Kucharska-Newton
Journal:  J Am Heart Assoc       Date:  2018-04-13       Impact factor: 5.501

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