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Treatment in a preventive cardiology clinic utilizing advanced practice providers effectively closes atherosclerotic cardiovascular disease risk-management gaps among a primary-prevention population compared with a propensity-matched primary-care cohort: A team-based care model and its impact on lipid and blood pressure management.


ABSTRACT:

Background

Advanced practice providers (APPs) can fill care gaps created by physician shortages and improve adherence/compliance with preventive ASCVD interventions.

Hypothesis

APPs utilizing guideline-based algorithms will more frequently escalate ASCVD risk factor therapies.

Methods

We retrospectively reviewed data on 595 patients enrolled in a preventive cardiology clinic (PCC) utilizing APPs compared with a propensity-matched cohort (PMC) of 595 patients enrolled in primary-care clinics alone. PCC patients were risk-stratified using Framingham Risk Score (FRS) and coronary artery calcium scoring (CACS).

Results

Baseline demographics were balanced between the groups. CACS was more commonly obtained in PCC patients (P?ConclusionsAPPs within a PCC effectively risk-stratify and aggressively manage ASCVD risk factors, resulting in a reduction in post-intervention FRS.

SUBMITTER: Fentanes E 

PROVIDER: S-EPMC6489740 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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Treatment in a preventive cardiology clinic utilizing advanced practice providers effectively closes atherosclerotic cardiovascular disease risk-management gaps among a primary-prevention population compared with a propensity-matched primary-care cohort: A team-based care model and its impact on lipid and blood pressure management.

Fentanes Emilio E   Vande Hei Anthony G AG   Holuby R Scott RS   Suarez Norma N   Slim Yousif Y   Slim Jennifer N JN   Slim Ahmad M AM   Thomas Dustin D  

Clinical cardiology 20180605 6


<h4>Background</h4>Advanced practice providers (APPs) can fill care gaps created by physician shortages and improve adherence/compliance with preventive ASCVD interventions.<h4>Hypothesis</h4>APPs utilizing guideline-based algorithms will more frequently escalate ASCVD risk factor therapies.<h4>Methods</h4>We retrospectively reviewed data on 595 patients enrolled in a preventive cardiology clinic (PCC) utilizing APPs compared with a propensity-matched cohort (PMC) of 595 patients enrolled in pri  ...[more]

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