The impact of outpatient supportive oncology on cancer care cost and utilization

Author:

Worster Brooke1ORCID,Zhu Yifan2,Garber Gregory1,Kieffer Sawyer3,Smith‐McLallen Aaron2

Affiliation:

1. Department of Medical Oncology Sidney Kimmel Cancer Center at Jefferson Health Philadelphia Pennsylvania USA

2. Independence Blue Cross Philadelphia Pennsylvania USA

3. Department of Medicine Jefferson Health Philadelphia Pennsylvania USA

Abstract

AbstractBackgroundSupportive oncology (SO) care reduces symptom severity, admissions, and costs in patients with advanced cancer. This study examines the impact of SO care on utilization and costs.MethodsRetrospective analysis of utilization and costs comparing patients enrolled in SO versus three comparison cohorts who did not receive SO. Using claims, the authors estimated differences in health care utilization and cost between the treatment group and comparison cohorts. The treatment group consisting of patients treated for cancer at an National Cancer Institute‐designated cancer center who received SO between January 2018 and December 2019 were compared to an asynchronous cohort that received cancer care before January 2018 (n = 60), a contemporaneous cohort with palliative care receiving SO care from other providers in the Southeastern Pennsylvania region during the program period (n = 86), and a contemporaneous cohort without palliative care consisting of patients at other cancer centers who were eligible for but did not receive SO care (n = 393).ResultsAt 30, 60, and 90 days post‐enrollment into SO, the treatment group had between 27% and 70% fewer inpatient admissions and between 16% and 54% fewer emergency department visits (p < .05) compared to non‐SO cohorts. At 90 days following enrollment in SO care, total medical costs were between 4.4% and 24.5% lower for the treatment group across all comparisons (p < .05).ConclusionsSO is associated with reduced admissions, emergency department visits, and total costs in advanced cancer patients. Developing innovative reimbursement models could be a cost‐effective approach to improve care of patients with advanced cancer.

Publisher

Wiley

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