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Analyzing The Health Care Cost Curve: A Case Study., Robert D. Lieberthal Oct 2013

Analyzing The Health Care Cost Curve: A Case Study., Robert D. Lieberthal

College of Population Health Faculty Papers

This case study uses data from a self-insured employer plan to perform an analysis into the properties of the health care cost curve. The analysis shows that one statistical property of the health care cost curve is that costs rise continuously, not on an annual or monthly basis. Graphical analysis indicates that managed care techniques used to restrain costs can also smooth utilization, producing the continuously growing cost curve observed. The analysis further illustrates that there is no one "cost curve"-analysis must be segmented by population. Finally, the power of predictive models to fit the cost curve varies by population. …


Analyzing The Health Care Cost Curve: A Case Study, Robert Lieberthal May 2013

Analyzing The Health Care Cost Curve: A Case Study, Robert Lieberthal

College of Population Health Faculty Papers

This case study uses data from a self-insured employer plan to perform an analysis into the properties of the health care cost curve. The analysis shows that one statistical property of the health care cost curve is that costs rise continuously, not on an annual or monthly basis. Graphical analysis indicates that managed care techniques used to restrain costs can also smooth utilization, producing the continuously growing cost curve observed. The analysis further illustrates that there is no one ‘‘cost curve’’—analysis must be segmented by population. Finally, the power of predictive models to fit the cost curve varies by population. …


An Economic Model To Value Companion Diagnostics In Non-Small-Cell Lung Cancer, Robert D. Lieberthal, Kellie Dudash, Rita S. Axelrod, Neil I. Goldfarb Jan 2013

An Economic Model To Value Companion Diagnostics In Non-Small-Cell Lung Cancer, Robert D. Lieberthal, Kellie Dudash, Rita S. Axelrod, Neil I. Goldfarb

College of Population Health Faculty Papers

Aim: An economic model was used to evaluate the potential economic impact and cost–effectiveness of companion diagnostic testing for patients with non-small-cell lung cancer (NSCLC). Materials & methods: A decision analysis model examined alternative patient management strategies for patients with advanced NSCLC who were not amenable to surgical treatment. A review of the literature provided the variables used to develop a timely base case and sensitivity analysis. A potential future scenario was also modeled. The model includes three options: conventional treatment (CT), new treatment (NT) and companion diagnostic (CD) strategy. Results: In the base case analysis based upon current data, …