Improving performance status documentation by hematology-oncology fellows.

Authors

Ana Velazquez Manana

Ana I. Velazquez Manana

University of California, San Francisco Medical Center, San Francisco, CA

Ana I. Velazquez Manana, Rahul Banerjee, Vanessa Elaine Kennedy, August Reich Dietrich, Amy M. Lin, Pelin Cinar

Organizations

University of California, San Francisco Medical Center, San Francisco, CA, University of California, San Francisco, CA, University of California San Francisco Medical Center, San Francisco, CA, UCSF, San Francisco, CA, University of California San Francisco, San Francisco, CA

Research Funding

No funding received
None.

Background: Accurate performance status (PS) documentation is essential as poor PS is a strong predictor of treatment-related toxicity. At our institution, a baseline chart review revealed missing PS documentation in 28% of Fellow-seen new patient visits (NPV); PS documentation as unstructured text comprised the remainder. The lack of structured PS documentation represents a missed opportunity for accurate data in registries, trial registration, and supportive care referrals. Methods: To improve standardized documentation of PS for NPV, we designed a Fellow-led quality improvement (QI) initiative over the course of 2 PDSA cycles. Specifically, we developed and implemented a structured PS smart data element tool (SDET) into our electronic medical record (EMR). PDSA cycle 1 (7/2019–11/2019) included SDET implementation and publicity using flyers & emails. PDSA cycle 2 (12/2019–4/2020) incorporated individualized feedback to Fellows, biweekly email reminders, and outreach to attendings regarding our SDET. We calculated cumulative usage of our SDET for PS documentation during the 2019-2020 academic year among NPV seen by Fellows. Our aim was to assess and document PS in at least 50% of NPV seen in person. Results: During PDSA cycle 1, cumulative structured PS documentation increased from 8% to 31% (Table). Focus groups revealed that Fellows were not consistently incorporating our SDET into their note templates or were relying on attending-written templates. Over PDSA cycle 2, the cumulative structured PS documentation rate increased from 24% to 54%. Overall our cumulative documentation rate is 40%, in large part driven by cycle 1 because of a drop in NPVs and the transition to telehealth during the COVID-19 pandemic. Conclusions: Our Fellow-led QI intervention improved cumulative structured PS documentation from 8% to 40% using two rapid PDSA cycles. Our intervention highlights the importance of real-time data review and stakeholder feedback to identify ongoing challenges. Our third PDSA cycle will include expansion to all clinic providers (Fellows, attendings, and advanced-practice providers), as well as the incorporation of telehealth encounters and follow-up visits. We also hope to align our QI initiative with broader steps toward data interoperability via the ASCO-sponsored mCODE initiative.

PDSA cycle #1
PDSA cycle #2
July 2019Aug 2019Sep 2019Oct 2019Nov 2019Dec 2019Jan 2020Feb 2020March 2020April 2020
Total NPV (n)8471619560388272326
Monthly PS documentation rate (%)8243045482446746650
Cumulative PS documentation rate (%) per PDSA cycle8151927312439525454

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 Quality Care Symposium

Session Type

Poster Session

Session Title

On-Demand Poster Session: Quality, Safety, and Implementation Science

Track

Quality, Safety, and Implementation Science

Sub Track

Standardization and Technology Efforts to Improve Safety

Citation

J Clin Oncol 38, 2020 (suppl 29; abstr 250)

DOI

10.1200/JCO.2020.38.29_suppl.250

Abstract #

250

Poster Bd #

Online Only

Abstract Disclosures

Similar Abstracts

First Author: Manan P. Shah

Abstract

2024 ASCO Annual Meeting

The impact of end-of-life quality metrics on date of death and hospice documentation over time.

First Author: Divya Deepak

First Author: Preeti Kakani