Driving quality improvement: How clinical decision support can facilitate compliance with evidence-based pathways.

Authors

Debra Patt

Debra A. Patt

McKesson Specialty Health and US Oncology Network, The Woodlands, TX

Debra A. Patt , Bo He , Jody S. Garey , Paul Rowan , Michael D Swartz , Stephen Linder , Barry Don Brooks , Marcus A. Neubauer

Organizations

McKesson Specialty Health and US Oncology Network, The Woodlands, TX, McKesson Specialty Health, The Woodlands, TX, US Oncology, Houston, TX, University of Texas School of Public Health, Houston, TX, The University of Texas School of Public Health, Houston, TX, US Oncology, The Woodlands, TX, The US Oncology Network/McKesson Specialty Health, Seattle, WA

Research Funding

Other
Texas Oncology, US Oncology

Background: Cancer care is changing rapidly with more detailed understanding of disease and more numerous therapeutic choices. As treatment choice is more complex, mechanisms to improve compliance with evidence based treatment can improve the quality of cancer care. Methods: A retrospective cohort study was conducted from January 2014-May 2016 evaluating the impact of a clinical decision support system (CDSS) on compliance with evidence based pathways (EBP) across 9 statewide community based oncology practices. These EBP are developed with physician input on efficacy toxicity and value and incorporated in to a CDSS that is used within the Electronic Health Record (EHR) at point of care to alter the choice architecture a clinician sees when prescribing therapy. A multi-level logistic regression model was used to adjust for group effects on physician or practice behavior. SAS 9.4 software was used and GLIMMIX was applied. Individual physician benchmark compliance was evaluated using McNemar's test. Results: Regimen compliance with EBP was measured pre- and post- implementation of the CDSS tool across a large network encompassing 9 statewide practices and 633 physicians who prescribed over 30,000 individual patient treatment regimens over a 6 month period. The CDSS that is incorporated within the EHR significantly improved compliance with EBP across the entire cohort of practices, and in individual practices (see Table). Individual oncologists reached a target of 75% compliance more often (58% vs 72%) after implementation of the tool (p < 0.001). Conclusions: CDSS is a tool that improves compliance with EBP that is effective at improving targets of compliance broadly, at the practice, and at the individual clinician level. Clinical informatics solutions that influence physician behavior can be inclusive of physicians in design, iterative in process, and nudge as opposed to force clinician behavior to drive quality improvement. These clinical informatics solutions grow in importance as the complexity of cancer care continues to increase and we seek to improve upon the quality and value of care delivery.

LabelOdds Ratio of Regimen Compliance95% LCL95% UCLPr > |t|
Overall Post vs. Pre1.481.251.760.0007
Practice A1.601.331.940.0004
Practice B1.130.881.450.2930
Practice C1.391.081.790.0160
Practice D1.851.532.24< .0001
Practice E1.761.322.360.0021
Practice F1.711.382.110.0004
Practice G1.230.961.570.0897
Practice H1.371.121.670.0066
Practice I1.461.301.63< .0001

Disclaimer

This material on this page is ©2024 American Society of Clinical Oncology, all rights reserved. Licensing available upon request. For more information, please contact licensing@asco.org

Abstract Details

Meeting

2020 ASCO Virtual Scientific Program

Session Type

Poster Session

Session Title

Care Delivery and Regulatory Policy

Track

Care Delivery and Quality Care

Sub Track

Clinical Informatics/Advanced Algorithms/Machine Learning

Citation

J Clin Oncol 38: 2020 (suppl; abstr 2045)

DOI

10.1200/JCO.2020.38.15_suppl.2045

Abstract #

2045

Poster Bd #

37

Abstract Disclosures

Similar Abstracts

Abstract

2021 ASCO Quality Care Symposium

Physician satisfaction with electronic medical records (EMRs): Time for an intelligent health record?

First Author: Ajeet Gajra

Abstract

2022 ASCO Quality Care Symposium

Improving routine use of clinical pathway decision support through EMR integration.

First Author: Dinesh Kotak