ArticleJCO oncology practice2024
Engagement Among Diverse Patient Backgrounds in a Remote Symptom Monitoring Program.
Article in JCO oncology practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed.
- Real-world implementation of electronic patient-reported outcome measures (ePROMs) in routine oncology practice: a scoping review.ESMO real world data and digital oncology · 2026Review
- The Effect of Veteran Race and Socioeconomic Status on Enrollment in Remote Patient Monitoring for Hypertension: Retrospective Observational Cross-Sectional Study.Journal of medical Internet research · 2026Observational
- The development of national learning collaborative for ePRO enabled RSM in oncology: insights for co-implementation.Implementation science communications · 2026Article
- Feasibility and Acceptability of Symptom Management Research in Black Advanced Lung Cancer Patients.Journal of pain and symptom management · 2026Observational
- Roles undertaken by family caregivers to help individuals with cancer manage symptoms: a qualitative study of caregivers, patients, and oncology clinicians.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Perception of AI Symptom Models in Oncology Nursing: Mixed Methods Evaluation Study.JMIR nursing · 2026Article
- Dynamic nutritional trajectories and deterioration risk in esophageal cancer radiotherapy: a prospective study.Frontiers in nutrition · 2026Article
- Barriers encountered and implementation strategies deployed to facilitate real-world remote symptom monitoring in patients receiving active cancer treatment.Frontiers in health services · 2026Article
- Trends in initial primary treatment approach and biomarker testing across social determinants of health in early-stage non-small cell lung cancer.Future oncology (London, England) · 2025Article
- Digital Patient-Reported Cancer Symptom Management: Comparison of Black and White Participants.Cancer medicine · 2025Article
- Patient Perspectives on Technological Barriers and Implementation Strategies Leveraged During a Real-World Remote Symptom Monitoring Program.JCO clinical cancer informatics · 2025Article
- Qualitative Study of Health Care Team Perception of the Benefits and Limitations of Remote Symptom Monitoring.JCO oncology practice · 2025Article
- Remote Symptom Monitoring With Electronic Patient-Reported Outcomes in Clinical Cancer Populations.JAMA network open · 2025Article
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Corrections and comments
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Authors and funding
20 authors.
Funding
Abstract
purposePrevious 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.
methodsThis 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.
resultsBetween 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.
conclusionBlack 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.
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