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Medical Resource Utilization and Costs from Subsequent Metastasis in Prostate Cancer (PC) Patients Initially Diagnosed with Locoregional Disease

Prostate Cancer

Background

In prostate cancer (PC), progression from locoregional to metastatic disease significantly impacts morbidity and mortality. We examined the impact of progression on medical resource use and healthcare costs.

Methods

Using the linked United States Surveillance, Epidemiology, and End Results and Medicare databases (2000-2012), we identified patients (pts) initially diagnosed with locoregional PC who progressed to metastatic disease ? 4 months after PC diagnosis (cases). Cases were matched up to a 1:4 ratio to controls (pts without metastases). Pts were evaluated 12 months before and for 12 months after metastases. Healthcare costs and medical resource use related to inpatient admissions, outpatient/emergency room (ER) visits, skeletal-related events (SRE), and chemotherapy were compared between cases and controls. Medicare claims were used to calculate average costs per month and resource use.

Results

There were 10,370 cases and 39,200 controls. 85% of cases had bone metastases. For cases, total healthcare costs were similar to controls from 12 to 4 months before metastases. These costs rose sharply to $11,982 in the month of metastases diagnosis vs $1305 for controls, and stayed 3 times higher than costs for controls for the remainder of the observation period. Medical resource use followed the same pattern, as shown by incremental rates and costs among cases relative to controls (Table).

Conclusions

Progression to metastatic disease among PC pts initially diagnosed with locoregional disease significantly increased medical resource use and costs. Interventions to prevent or delay metastasis could result in decreased utilization of resources with associated cost reductions.

Authors Li, Shore N.; Mehra, M.; Todd, M.; Saadi. R.; Leblay, G.; Griffiths, R.; Aggarwal, J.
Journal
Therapeutic Area Oncology
Center of Excellence Real-world Evidence & Data Analytics
Year 2016
Congress ASCO
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