Practice Pattern Variation in Adoption of New and Evolving Percutaneous Coronary Intervention Procedures.

Diana Naranjo, Jacob Doll, Charles Maynard, Kristine Beaver, Aasthaa Bansal, Christian D Helfrich
Author Information
  1. Diana Naranjo: Informatics, Decision-Enhancement and Analytic Sciences Center (IDEAS), VA Salt Lake City Health Care System, Salt Lake City, Utah, USA. ORCID
  2. Jacob Doll: Health Services Research & Development (HSR&D), Seattle-Denver Center of Innovation (COIN) for Veteran-Centered Value-Driven Care, US Department of Veterans Affairs (VA) Puget Sound Health Care System, Seattle, WA, USA. ORCID
  3. Charles Maynard: Health Services Research & Development (HSR&D), Seattle-Denver Center of Innovation (COIN) for Veteran-Centered Value-Driven Care, US Department of Veterans Affairs (VA) Puget Sound Health Care System, Seattle, WA, USA. ORCID
  4. Kristine Beaver: Health Services Research & Development (HSR&D), Seattle-Denver Center of Innovation (COIN) for Veteran-Centered Value-Driven Care, US Department of Veterans Affairs (VA) Puget Sound Health Care System, Seattle, WA, USA. ORCID
  5. Aasthaa Bansal: Department of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA, USA. ORCID
  6. Christian D Helfrich: Health Services Research & Development (HSR&D), Seattle-Denver Center of Innovation (COIN) for Veteran-Centered Value-Driven Care, US Department of Veterans Affairs (VA) Puget Sound Health Care System, Seattle, WA, USA.

Abstract

Objective: Assess factors contributing to variation in the use of new and evolving diagnostic and interventional procedures for percutaneous coronary intervention (PCI).
Background: Evidence-based practices for PCI have the potential to improve outcomes but are variably adopted. Finding possible drivers of PCI procedure-use variability is key for efforts aimed at establishing more uniform practice.
Methods: Veterans Affairs Clinical Assessment, Reporting, and Tracking Program data were used to estimate a proportion of variation attributable to hospital-, operator-, and patient-level factors across (a) radial arterial access, (b) intravascular imaging/optical coherence tomography, and (c) atherectomy for PCI. We used random-effects models with hospital, operator, and patient random effects. Overlap between levels generated cumulative variability estimates greater than 100%.
Results: A total of 445 operators performed 95,391 PCI procedures across 73 hospitals from 2011 to 2018. The rates of all procedures increased over this time. 24.45% of variability in the use of radial access was attributable to the hospital, 53.04% to the operator, and 57.83% to patient-level characteristics. 9.06% of the variability in intravascular imaging use was attributable to the hospital, 43.92% to the operator, and 21.20% to the patient. Lastly, 20.16% of the variability in use of atherectomy was attributed to the hospital, 34.63% to the operator, and 57.50% to the patient.
Conclusions: The use of radial access, intracoronary imaging, and atherectomy is influenced by patient, operator, and hospital factors, but patient and operator-level effects predominate. Efforts to increase the use of evidence-based practices for PCI should consider interventions at these levels.

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MeSH Term

Humans
Percutaneous Coronary Intervention
Tomography, Optical Coherence
Arteries
Time Factors
Treatment Outcome

Word Cloud

Created with Highcharts 10.0.0usePCIvariabilityhospitaloperatorpatientfactorsproceduresattributableradialaccessatherectomyvariationpracticesusedpatient-levelacrossintravasculareffectslevels57imagingObjective:AssesscontributingnewevolvingdiagnosticinterventionalpercutaneouscoronaryinterventionBackground:Evidence-basedpotentialimproveoutcomesvariablyadoptedFindingpossibledriversprocedure-usekeyeffortsaimedestablishinguniformpracticeMethods:VeteransAffairsClinicalAssessmentReportingTrackingProgramdataestimateproportionhospital-operator-arterialbimaging/opticalcoherencetomographycrandom-effectsmodelsrandomOverlapgeneratedcumulativeestimatesgreater100%Results:total445operatorsperformed9539173hospitals20112018ratesincreasedtime2445%5304%83%characteristics906%4392%2120%Lastly2016%attributed3463%50%Conclusions:intracoronaryinfluencedoperator-levelpredominateEffortsincreaseevidence-basedconsiderinterventionsPracticePatternVariationAdoptionNewEvolvingPercutaneousCoronaryInterventionProcedures

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