Impact of remote symptom monitoring program on payor-specific healthcare costs.

1632 Background: Remote symptom monitoring (RSM) programs are currently being implemented across oncology practices nationwide; however, the impact of RSM on costs by payor has been understudied. Methods: This is a secondary analysis of a hybrid implementation-effectiveness trial of electronic, patient reported outcome-based RSM for patients with cancer initiating systemic therapy (May 2021-May 2024). Differences in costs for healthcare services for RSM-enrolled patients were compared to historical controls. Outcomes included overall, monthly, payor-, and service-specific costs of care received at 3 and 6 months after RSM-enrollment date or initiation of systemic therapy for controls. Adjusted generalized linear models estimated predicted mean costs, mean cost ratios (MR) and 95% confidence intervals (CIs) for RSM-enrolled patients versus controls. Results: Patients receiving RSM (n=968) were 25% Black, 44% privately insured, and 27% living in a highly disadvantaged neighborhood. Historical controls (n=3,488) were demographically similar. Though non-statistically significant, RSM enrolled patients had 5% lower mean costs 3 months post-index date compared to historical controls (MR 0.95, 95% CI 0.78-1.16), translating to an estimated cost savings of $1,347 per patient (95% CI -$3,596, $6,290). Medicare Fee-for-Service (FFS) beneficiaries showed the greatest, though non-statistically significant, cost reductions, with RSM FFS beneficiaries having 10% lower costs than FFS controls (MR 0.90, 95% CI 0.67-1.19) at 3 months post-index date. Though non-statically significant, RSM-enrolled patients had 23% lower costs for radiation, 14% lower inpatient costs, 9% lower costs for labs, scans, or tests, and 2% lower outpatient costs compared to controls at 3 months post-index date. At one-month post-index date, RSM enrolled patients had statistically significantly lower payor costs compared to controls ($11,849 [95% CI $9,364-$14,335] vs. $15,706 [$14,291-$17,121]; p=.004). Costs for RSM enrolled patients and controls were similar two to six-months post-index date. Conclusions: We observed payor cost savings of $1,347 in the 3 months of RSM enrollment compared to controls. As the largest payor cost differences were seen for Medicare FFS beneficiaries, our results suggest RSM may address a gap in the provision of care coordination to patients not offered these services through their insurer. Cost savings were most prominent within the first month of treatment initiation; thus, RSM may aid in reducing acute care needs and optimizing resource utilization for patients with cancer. Our results support future research in potential risk-stratification methods to improve RSM engagement and delivery to reduce costs and improve outcomes for patients with cancer.

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Publication Details

Journal
Journal of Clinical Oncology
Published
2026-05-27
DOI
https://doi.org/10.1200/jco.2026.44.16_suppl.1632
Primary Topic
Economic and Financial Impacts of Cancer
Type
article
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article

Impact of remote symptom monitoring program on payor-specific healthcare costs.

Ashley Lovingood, Nicole L. Henderson, Nicole E. Caston, Jennifer Young Pierce et al.
Journal of Clinical Oncology
Economic and Financial Impacts of Cancer
article

Impact of remote symptom monitoring program on payor-specific healthcare costs.

Ashley Lovingood, Nicole L. Henderson, Nicole E. Caston, Jennifer Young Pierce, Gabrielle Betty Rocque, Sandra C. Olisakwe, L. Deng, Courtney Williams, J Nicholas Odom, Ethan Basch, Baylie Mullinax, Andres Azuero, Jeffrey Franks, Dorothea Staursky
article en

Abstract

1632 Background: Remote symptom monitoring (RSM) programs are currently being implemented across oncology practices nationwide; however, the impact of RSM on costs by payor has been understudied. Methods: This is a secondary analysis of a hybrid implementation-effectiveness trial of electronic, patient reported outcome-based RSM for patients with cancer initiating systemic therapy (May 2021-May 2024). Differences in costs for healthcare services for RSM-enrolled patients were compared to historical controls. Outcomes included overall, monthly, payor-, and service-specific costs of care received at 3 and 6 months after RSM-enrollment date or initiation of systemic therapy for controls. Adjusted generalized linear models estimated predicted mean costs, mean cost ratios (MR) and 95% confidence intervals (CIs) for RSM-enrolled patients versus controls. Results: Patients receiving RSM (n=968) were 25% Black, 44% privately insured, and 27% living in a highly disadvantaged neighborhood. Historical controls (n=3,488) were demographically similar. Though non-statistically significant, RSM enrolled patients had 5% lower mean costs 3 months post-index date compared to historical controls (MR 0.95, 95% CI 0.78-1.16), translating to an estimated cost savings of $1,347 per patient (95% CI -$3,596, $6,290). Medicare Fee-for-Service (FFS) beneficiaries showed the greatest, though non-statistically significant, cost reductions, with RSM FFS beneficiaries having 10% lower costs than FFS controls (MR 0.90, 95% CI 0.67-1.19) at 3 months post-index date. Though non-statically significant, RSM-enrolled patients had 23% lower costs for radiation, 14% lower inpatient costs, 9% lower costs for labs, scans, or tests, and 2% lower outpatient costs compared to controls at 3 months post-index date. At one-month post-index date, RSM enrolled patients had statistically significantly lower payor costs compared to controls ($11,849 [95% CI $9,364-$14,335] vs. $15,706 [$14,291-$17,121]; p=.004). Costs for RSM enrolled patients and controls were similar two to six-months post-index date. Conclusions: We observed payor cost savings of $1,347 in the 3 months of RSM enrollment compared to controls. As the largest payor cost differences were seen for Medicare FFS beneficiaries, our results suggest RSM may address a gap in the provision of care coordination to patients not offered these services through their insurer. Cost savings were most prominent within the first month of treatment initiation; thus, RSM may aid in reducing acute care needs and optimizing resource utilization for patients with cancer. Our results support future research in potential risk-stratification methods to improve RSM engagement and delivery to reduce costs and improve outcomes for patients with cancer.

Journal of Clinical OncologyVol. 44(16_suppl)
University of North Carolina at Chapel Hill (US), University of Alabama at Birmingham (US), University of South Alabama (US)
Openalex Percentile: Top 3%
Economic and Financial Impacts of Cancer
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