The Primary Process and Key Concepts of Economic Evaluation in Healthcare

• Main Authors: Younhee Kim (Author), Yunjung Kim (Author), Hyeon-Jeong Lee (Author), Seulki Lee (Author), Sun-Young Park (Author), Sung-Hee Oh (Author), Suhyun Jang (Author), Taejin Lee (Author), Jeonghoon Ahn (Author), Sangjin Shin (Author)
• Format: Book
• Published: Korean Society for Preventive Medicine, 2022-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 1975-8375; 2233-4521; 10.3961/jpmph.22.195
• Keywords: economic evaluation; medical cost; quality-adjusted life year; decision trees; markov model; incremental cost-effective ratio; Medicine; R; Public aspects of medicine; RA1-1270
• Source: Journal of Preventive Medicine and Public Health, Vol 55, Iss 5, Pp 415-423 (2022)

Economic evaluations in the healthcare are used to assess economic efficiency of pharmaceuticals and medical interventions such as diagnoses and medical procedures. This study introduces the main concepts of economic evaluation across its key steps: planning, outcome and cost calculation, modeling, cost-effectiveness results, uncertainty analysis, and decision-making. When planning an economic evaluation, we determine the study population, intervention, comparators, perspectives, time horizon, discount rates, and type of economic evaluation. In healthcare economic evaluations, outcomes include changes in mortality, the survival rate, life years, and quality-adjusted life years, while costs include medical, non-medical, and productivity costs. Model-based economic evaluations, including decision tree and Markov models, are mainly used to calculate the total costs and total effects. In cost-effectiveness or cost-utility analyses, cost-effectiveness is evaluated using the incremental cost-effectiveness ratio, which is the additional cost per one additional unit of effectiveness gained by an intervention compared with a comparator. All outcomes have uncertainties owing to limited evidence, diverse methodologies, and unexplained variation. Thus, researchers should review these uncertainties and confirm their robustness. We hope to contribute to the establishment and dissemination of economic evaluation methodologies that reflect Korean clinical and research environment and ultimately improve the rationality of healthcare policies.