Background: Prostate cancer ranks among the top 5 cancers in contribution to national expenditures. Previous reports have identified that 5% of the population accounts for 50% of the nation's annual health care spending. To date, the assessment of the top 5% resource-patients among men diagnosed with prostate cancer (PCa) has never been performed. We investigate the determinants and health care utilization of high resource-patients diagnosed with PCa using a population-based cohort using the Surveillance, Epidemiology, and End Results Medicare-linked database.
Methods: Men aged ≥66-year-old with a primary diagnosis of PCa in 2009 were identified. High resource spenders were defined as the top 5% of the sum of the total cost incurred for all services rendered per beneficiary. The spending in each group and predictors of being a high resource-patient were assessed.
Results: The top 5% resource-patients consisted of 646 men who spent a total of $62,474,504, comprising 26% of the total cost incurred for all 12,875 men who were diagnosed with PCa in 2009. Of the top 5% resource-patients, the average amount spent per patient was $96,710 vs. $14,664 among the bottom 95% resource-patients. In adjusted analyses, older (odds ratio [OR]: 1.02, 95% confidence interval [CI]: 1.00-1.03), Charlson Comorbidity Index ≥2 (OR: 3.78, 95% CI: 3.10-4.60) men, and advanced disease (metastasis OR: 2.29, 95% CI: 1.68-3.11) were predictors of being a top 5% resource-patient. Of these patients, 210 men died within 1 year of PCa diagnosis (32.5%) vs. 606 men of the bottom 95% resource-patients (5.0%, P < 0.001).
Conclusion: Five percent of men diagnosed with PCa bore 26% of the total cost incurred for all men diagnosed with the disease in 2009. Multimorbidity and advanced disease stage represent the primary drivers of being a high-resource PCa patient. Multidisciplinary care and shared decision-making is encouraged for such patients to better manage cost and quality of care.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.urolonc.2020.09.033 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!