Symptom trajectory for patients utilizing remote symptom monitoring during gastrointestinal cancer treatment.

Authors

Bryanna Diaz

Bryanna Diaz

University of South Alabama Mitchell Cancer Institute, Mobile, AL

Bryanna Diaz, Chelsea McGowen, Nicole E. Caston, Sheila McElhany, Carrie C McNair, Naden Kreitz, Jeffrey Franks, Courtney J. Andrews, Chao-Hui Sylvia Huang, James Nicholas Odom, Bryan J. Weiner, Bradford E. Jackson, Ethan Basch, Angela M. Stover, Doris Howell, Gabrielle Betty Rocque, Jennifer Young Pierce

Organizations

University of South Alabama Mitchell Cancer Institute, Mobile, AL, University of South Alabama, Mobile, AL, University of Alabama at Birmingham, Birmingham, AL, University of Washington, Seattle, WA, The University of North Carolina at Chapel Hill, Chapel Hill, NC, Princess Margaret Cancer Centre, Toronto, ON, Canada, O'Neal Comprehensive Cancer Center at The University of Alabama at Birmingham, Birmingham, AL, Univeristy of South Alabama Mitchell Cancer Institute, Mobile, AL

Research Funding

U.S. National Institutes of Health
U.S. National Institutes of Health

Background: Use of electronic patient-reported outcome data allows patients to report symptoms in real time. This analysis aims to better understand the trajectory for symptoms reported via Remote Symptom Monitoring (RSM) by patients receiving gastrointestinal (GI) cancer treatment. Methods: This retrospective cohort study included patients initiating GI cancer treatment (chemotherapy, targeted therapy, and immunotherapy) between August 2022 and April 2023 at USA Health Mitchell Cancer Institute (MCI). Patients were eligible if they were starting a new treatment or had started treatment in the past 30 days. Patients received a weekly symptom survey over the course of 24 weeks through text message or e-mail. Patients were monitored for a total of 24 weeks regardless of their enrollment date. Patients reported symptoms as mild, moderate, severe, or very severe. All moderate and severe alerts were sent to the clinical nurse via the electronic medical record (EMR) to be acknowledged. After enrollment, health information including age, race, sex, zip code, ethnicity, cancer type, and cancer stage were extracted from the EMR. Descriptive statistics were calculated to examine frequencies of reported symptoms and their severity over time. Results: Of 75 GI patients approached, 63 patients (84%) were enrolled in RSM; 44% were female; 30% of patients were Black or African American, and median age was 65 (range 30-82). GI cancer types varied; Pancreatic (21%), Rectal (13%), Colorectal (14%), Colon (13%), Gastric (11%), Liver (11%), and other (17%). Over 24 weeks, 424 alerts were reported. Pain (31%), nausea and vomiting (21%), and decreased appetite (17%) were the most reported symptoms. 311 alerts were moderate (73%) and 113 were severe (27%). At week 0 (baseline; n = 63) 37 moderate alerts and 21 severe alerts were reported. At week 24 (final week; n = 63) 7 moderate alerts and 6 severe alerts were reported. Overall, there was a decreasing trajectory from week to week for moderate and severe alerts, with outliers noted at weeks 8 and 20. Conclusions: Findings suggest that RSM allows for an improvement in symptom trajectory for GI cancer patients based on the decrease in moderate and severe alerts reported from baseline to week 24. This decrease suggests that reported symptoms are being appropriately monitored and addressed by the patient's clinical care team due to improvement of symptoms or improvement of symptom management. Future research is needed to determine the benefits of prolonged RSM utilization by patient-reported quality of life as well as survival rate.

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Abstract Details

Meeting

2023 ASCO Quality Care Symposium

Session Type

Poster Session

Session Title

Poster Session A

Track

Quality, Safety, and Implementation Science,Cost, Value, and Policy,Patient Experience,Survivorship

Sub Track

Integrating Patient Experience Assessment and Patient Reported Outcomes Into Practice

Citation

JCO Oncol Pract 19, 2023 (suppl 11; abstr 345)

DOI

10.1200/OP.2023.19.11_suppl.345

Abstract #

345

Poster Bd #

F2

Abstract Disclosures