Adjusting to changes in health: implications for cost-effectiveness analysis

Area of Science:

• Health Economics
• Decision Analysis
• Patient-Reported Outcomes

Background:

• Cost-effectiveness analysis (CEA) traditionally assumes symmetrical valuation of health changes.
• Patient adaptation to health changes involves psychological and behavioral adjustments.
• Understanding patient preferences is crucial for accurate health policy decisions.

Purpose of the Study:

• To introduce a model incorporating adjustment costs into health state valuation.
• To examine the implications of adjustment costs for CEA and intervention rankings.
• To explore the impact of adjustment costs on multi-dimensional health state rankings.

Main Methods:

• Economic modeling of patient adjustment costs.
• Theoretical analysis of health state preferences.
• Simulation of cost-effectiveness analysis under different assumptions.

Main Results:

• Adjustment costs lead to asymmetrical patient preferences, valuing improvements less than deteriorations.
• The inclusion of adjustment costs imposes a more stringent CEA criterion.
• Adjustment costs can alter the relative rankings of healthcare interventions.
• Multi-dimensional health states with adjustment costs may prevent consensus on rankings.

Conclusions:

• Patient adjustment costs necessitate asymmetrical treatment of health improvements and deteriorations in CEA.
• Adjustment costs introduce complexities in evaluating healthcare interventions and ranking health states.
• Further research is needed to incorporate these costs into practical health economic evaluations.