Dealing with Time in Health Economic Evaluation: Methodological Issues and Recommendations for Practice
James F O'Mahony1, Anthony T Newall2, Joost van Rosmalen3
1Department of Health Policy and Management, School of Medicine, Trinity College Dublin, Dublin, Ireland. jfomahon@tcd.ie.
Accurate health economic modeling requires careful consideration of time. This includes selecting appropriate cohorts, simulating time precisely with short cycles or continuous models, and correctly discounting future costs and effects.
Area of Science:
- Health economics
- Biostatistics
- Clinical trial design
Background:
- Time is a critical factor in health economic evaluations, influencing costs and effects.
- The timing and duration of interventions and outcomes significantly impact model results.
- Current health economic models often require careful consideration of temporal aspects.
Purpose of the Study:
- To provide a methodological overview of key temporal considerations in health economic modeling.
- To offer recommendations for designing and interpreting health economic models regarding time.
- To address cohort selection, time simulation, and discounting in cost-effectiveness analyses.
Main Methods:
- Review of time-related issues in health economic modeling.
- Discussion of discrete-time vs. continuous-time models and cycle length selection.
- Guidance on converting rates and probabilities and discounting future costs and effects.
Main Results:
- Recommendations for selecting cohorts based on cost-effectiveness variations and subgroup feasibility.
- Preference for short cycles or continuous-time models to mitigate bias and avoid half-cycle corrections.
- Emphasis on transparent reporting and understanding the rationale for discounting methods, including differential discounting.
Conclusions:
- Explicitly stating and justifying modeling choices regarding time is crucial for robust health economic evaluations.
- Analysts should consider the impact of alternative temporal modeling decisions on results.
- Adherence to methodological best practices in time simulation enhances the reliability of cost-effectiveness analyses.
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