Engagement Among Diverse Patient Backgrounds in a Remote Symptom Monitoring Program

Author:

Rocque Gabrielle B.12ORCID,Caston Nicole E.1ORCID,Hildreth Keyonsis1,Deng Luqin3,Henderson Nicole L.1ORCID,Williams Courtney P.3ORCID,Azuero Andres24ORCID,Jackson Bradford E.5ORCID,Franks Jeffrey A.1ORCID,McGowan Chelsea6,Huang Chao-Hui Sylvia7ORCID,Dent D'Ambra1,Ingram Stacey1,Odom J. Nicholas47ORCID,Eltoum Noon8ORCID,Weiner Bryan9ORCID,Howell Doris10,Stover Angela M.511ORCID,Pierce Jennifer Young6,Basch Ethan5ORCID

Affiliation:

1. Department of Medicine, Division of Hematology and Oncology, University of Alabama at Birmingham, Birmingham, AL

2. O'Neal Comprehensive Cancer Center, Birmingham, AL

3. Department of Medicine, Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, AL

4. School of Nursing, University of Alabama at Birmingham, Birmingham, AL

5. Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC

6. University of South Alabama Mitchell Cancer Institute, Mobile, Alabama

7. Department of Medicine, Division of Gerontology, Geriatrics, and Palliative Care, University of Alabama at Birmingham, Birmingham, AL

8. Department of Radiology, University of Alabama at Birmingham, Birmingham, AL

9. Department of Health Systems and Population Health, University of Washington, Seattle, WA

10. Supportive Care, Princess Margaret Cancer Centre Research Institute, Toronto, ON, Canada

11. Department of Health Policy and Management, University of North Carolina at Chapel Hill, Chapel Hill, NC

Abstract

PURPOSE Previous randomized controlled trials have demonstrated benefit from remote symptom monitoring (RSM) with electronic patient-reported outcomes. However, the racial diversity of enrolled patients was low and did not reflect the real-world racial proportions for individuals with cancer. METHODS This secondary, cross-sectional analysis evaluated engagement of patients with cancer in a RSM program. Patient-reported race was grouped as Black, Other, or White. Patient address was used to map patient residence to determine rurality using Rural-Urban Commuting Area Codes and neighborhood disadvantage using Area Deprivation Index. Key outcomes included (1) being approached for RSM enrollment, (2) declining enrollment, (3) adherence with RSM via continuous completion of symptom surveys, and (4) withdrawal from RSM participation. Risk ratios (RR) and 95% CI were estimated from modified Poisson models with robust SEs. RESULTS Between May 2021 and May 2023, 883 patients were approached to participate, of which 56 (6%) declined RSM. Of those who enrolled in RSM, a total of 27% of patients were Black or African American and 67% were White. In adjusted models, all patient population subgroups of interest had similar likelihoods of being approached for RSM participation; however, Black or African American patients were more than 3× more likely to decline participation than White participants (RR, 3.09 [95% CI, 1.73 to 5.53]). Patients living in more disadvantaged neighborhoods were less likely to decline (RR, 0.49 [95% CI, 0.24 to 1.02]), but less likely to adhere to surveys (RR, 0.81 [95% CI, 0.68 to 0.97]). All patient populations had a similar likelihood of withdrawing. CONCLUSION Black patients and individuals living in more disadvantaged neighborhoods are at risk for lower engagement in RSM. Further work is needed to identify and overcome barriers to equitable participation.

Publisher

American Society of Clinical Oncology (ASCO)

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