Implementation and preliminary efficacy of a risk stratification system +/- patient-reported outcomes monitoring for patients with hospital-diagnosed advanced lung cancer.

Authors

Emily Ray

Emily Miller Ray

Division of Oncology, Department of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC

Emily Miller Ray , Amanda Gentry , Madeleine Ledenyi , Jennifer Elston Elston Lafata , Hanna Kelly Sanoff , Gita N Mody

Organizations

Division of Oncology, Department of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, The University of North Carolina at Chapel Hill, Chapel Hill, NC, UNC Eshelman School of Pharmacy and Lineberger Comprehensive Cancer Center, Chapel Hill, NC, Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC

Research Funding

Lung Cancer Initiative

Background: Risk stratification systems may improve quality of care for patients with advanced lung cancer (ALC) by identifying those at high risk of rehospitalization and directing them to supportive care. The purpose of this study was to evaluate the implementation and preliminary efficacy of a risk-based system, with/without electronic patient-reported outcome (ePRO) symptom monitoring, to trigger supportive care for patients with hospital-diagnosed ALC. Methods: In this single-site, non-randomized, pragmatic study, patients in an academic center with hospital-diagnosed ALC were stratified to low or high risk using an established tool. High-risk patients were referred to two-pronged supportive care: patient navigation and outpatient palliative care. Eligible patients were recruited for 3 months of ePRO symptom monitoring coupled with provider alerts. Healthcare utilization was assessed at 90 days post-discharge. Program feasibility and acceptability were assessed using percent of eligible supportive care referrals made and completed, enrollment rates in ePROs, ePRO completion, and notifications to providers of concerning symptoms. Preliminary efficacy was defined as percentage of concerning ePRO symptoms resulting in new clinical action and 90-day readmissions. Results: At the time of interim analysis, 49 patients had been assessed with 48/49 (98%) identified as high risk. Patients had a mean age of 66 years, and were non-Hispanic, 51% male, and 22% Black. Patient navigation referral (92%) and completion (88%) was high. Palliative care referral (89%) and completion (45%) was lower. 14/39 (36%) of eligible patients enrolled in ePRO symptom monitoring, with competing priorities or feeling overwhelmed as the primary reasons for non-participation. Patient-level ePRO completion ranged from 0-100% (mean 53%). Nearly all (97%) concerning symptoms were reported to the clinical team; 27% of these resulted in new clinical action. By 90 days, 16/37 (43%) had hospital readmissions. Conclusions: Patient navigation was feasible and acceptable in patients with hospital-diagnosed ALC. However, there are ongoing barriers to implementation of post-hospitalization ePRO symptom monitoring and palliative care. Additional evaluation is needed to understand the barriers and facilitators and to measure the impact of navigation on patient outcomes. Since nearly all patients met high-risk criteria, future programs will eliminate risk stratification and target all patients with hospital-diagnosed ALC. Clinical trial information: NCT05722847.

High-risk criteria among patients (n=49).
n (%)
>1 Charlson comorbidity38 (77.6)
Prior ED/hospitalization w/in 6 months31 (63.3)
>8 days hospital stay29 (59.2)
Black or African American11 (22.4)
Small cell lung cancer9 (18.4)
Wheelchair prescribed2 (4.1)
Hispanic or Latino0 (0.0)
Did not meet any criteria1 (2.0)

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

2024 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Quality Care/Health Services Research

Track

Care Delivery and Quality Care

Sub Track

Health Services Research

Clinical Trial Registration Number

NCT05722847

Citation

J Clin Oncol 42, 2024 (suppl 16; abstr 11095)

DOI

10.1200/JCO.2024.42.16_suppl.11095

Abstract #

11095

Poster Bd #

290

Abstract Disclosures

Similar Abstracts

First Author: Christina Parrinello

Abstract

2022 ASCO Quality Care Symposium

Postoperative symptom monitoring with ePROs in an academic public hospital.

First Author: Gita N Mody

First Author: Diego Cacho