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Updated: Jun 26, 2026

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
Published on: February 13, 2021
Long-term cost-effectiveness of disease management in systolic heart failure
George Miller1, Stephen Randolph, Emma Forkner
1Altarum Institute, Ann Arbor, MI 48113-4001, USA. george.miller@altarum.org
Insights
Disease management for congestive heart failure (CHF) patients extends lifespan by 51 days. While increasing costs, this approach proves cost-effective long-term, offering valuable insights for healthcare management.
Area of Science:
- Cardiology
- Health Economics
- Medical Informatics
Background:
- Congestive heart failure (CHF) management programs show mixed results on effectiveness and cost-savings.
- Previous studies lack long-term projections for CHF disease management.
Purpose of the Study:
- To estimate the long-term impact of systolic heart failure disease management.
- To project lifetime costs and clinical benefits using clinical trial data.
Main Methods:
- A Markov model was employed, utilizing data from an 18-month clinical trial.
- Model inputs included population distributions, resource use, mortality, and transition probabilities.
- Cost-effectiveness was calculated as cost per quality-adjusted life year (QALY) gained, with a 3% discount rate.
Main Results:
- Lifetime lifespan extension of 51 days was projected for patients in the disease management group.
- Discounted lifetime costs were $4850 higher, but cost-effectiveness was favorable at $43,650/QALY.
- Results remained robust across various sensitivity analyses.
Conclusions:
- Model-based analyses enhance the estimation of clinical benefits and financial burden of disease management.
- Long-term disease management of heart failure patients is suggested to be cost-effective.
Background:
Although congestive heart failure (CHF) is a primary target for disease management programs, previous studies have generated mixed results regarding the effectiveness and cost savings of disease management when applied to CHF.
Objective:
We estimated the long-term impact of systolic heart failure disease management from the results of an 18-month clinical trial.
Methods:
We used data generated from the trial (starting population distributions, resource utilization, mortality rates, and transition probabilities) in a Markov model to project results of continuing the disease management program for the patients' lifetimes. Outputs included distribution of illness severity, mortality, resource consumption, and the cost of resources consumed. Both cost and effectiveness were discounted at a rate of 3% per year. Cost-effectiveness was computed as cost per quality-adjusted life year (QALY) gained.
Results:
Model results were validated against trial data and indicated that, over their lifetimes, patients experienced a lifespan extension of 51 days. Combined discounted lifetime program and medical costs were $4850 higher in the disease management group than the control group, but the program had a favorable long-term discounted cost-effectiveness of $43,650/QALY. These results are robust to assumptions regarding mortality rates, the impact of aging on the cost of care, the discount rate, utility values, and the targeted population.
Conclusions:
Estimation of the clinical benefits and financial burden of disease management can be enhanced by model-based analyses to project costs and effectiveness. Our results suggest that disease management of heart failure patients can be cost-effective over the long term.
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