Cost-Effectiveness Analysis of a Capitated Patient Navigation Program for Medicare Beneficiaries with Lung Cancer

Health Serv Res. 2016 Apr;51(2):746-67. doi: 10.1111/1475-6773.12333. Epub 2015 Jun 26.

Abstract

Objective: To assess the cost-effectiveness of implementing a patient navigation (PN) program with capitated payment for Medicare beneficiaries diagnosed with lung cancer.

Data sources/study setting: Cost-effectiveness analysis.

Study design: A Markov model to capture the disease progression of lung cancer and characterize clinical benefits of PN services as timeliness of treatment and care coordination. Taking a payer's perspective, we estimated the lifetime costs, life years (LYs), and quality-adjusted life years (QALYs) and addressed uncertainties in one-way and probabilistic sensitivity analyses.

Data collection/extraction methods: Model inputs were extracted from the literature, supplemented with data from a Centers for Medicare and Medicaid Services demonstration project.

Principal findings: Compared to usual care, PN services incurred higher costs but also yielded better outcomes. The incremental cost and effectiveness was $9,145 and 0.47 QALYs, respectively, resulting in an incremental cost-effectiveness ratio of $19,312/QALY. One-way sensitivity analysis indicated that findings were most sensitive to a parameter capturing PN survival benefit for local-stage patients. CE-acceptability curve showed the probability that the PN program was cost-effective was 0.80 and 0.91 at a societal willingness-to-pay of $50,000 and $100,000/QALY, respectively.

Conclusion: Instituting a capitated PN program is cost-effective for lung cancer patients in Medicare. Future research should evaluate whether the same conclusion holds in other cancers.

Keywords: Cost-effectiveness analysis; lung cancer; patient navigation.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cost-Benefit Analysis
  • Disease Progression
  • Health Services / economics
  • Health Services / statistics & numerical data
  • Humans
  • Lung Neoplasms / economics*
  • Lung Neoplasms / mortality
  • Markov Chains
  • Medicare / economics*
  • Models, Econometric
  • Patient Navigation / economics*
  • Quality of Life
  • Quality-Adjusted Life Years
  • Time-to-Treatment
  • United States