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Published on: September 26, 2018
Economic implications of cardiovascular disease management programs: moving beyond one-off experiments
Shoko Maru1, Joshua Byrnes, Melinda J Carrington
1Centre for Applied Health Economics, School of Medicine and Population and Social Health Research, Griffith Health Institute, Griffith University, Brisbane, Australia.
Economic analyses of cardiovascular disease management programs vary widely, impacting cost-effectiveness assessments. Standardized reporting is crucial for transparent, generalizable findings on program effectiveness for specific patient groups.
Area of Science:
- Health Economics
- Cardiovascular Disease Management
- Health Services Research
Background:
- Economic analyses of cardiovascular disease management programs exhibit significant variation.
- This variability impedes accurate cost-effectiveness assessment and identification of patient-specific factors.
Purpose of the Study:
- To discuss the impact of reporting and methodological variations on cost-effectiveness analyses.
- To highlight challenges in determining net intervention effects and generalizability.
- To propose practical solutions for improving economic evaluations.
Main Methods:
- Review and discussion of methodological and reporting variations in economic analyses.
- Identification of issues influencing policy and clinical decisions.
- Analysis of challenges in net intervention effects and generalizability.
Main Results:
- Variations in reporting and methodology lead to inconsistent cost-effectiveness findings.
- Lack of standardization hinders the ability to determine which programs work for whom.
- Generalizability and net intervention effects are difficult to ascertain due to these variations.
Conclusions:
- Standardized reporting practices are essential for advancing cost-effectiveness analyses.
- Improved transparency is a prerequisite for rigorous evaluations with clear implications for practice.
- Standardization will enable better understanding of program effectiveness across diverse patient populations.
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