Proportion of the Expenses of Over-the-Counter Equivalent Drugs Among Total Healthcare an Analysis Using the Wellness-Star? Database
Author(s)
Akihiro Kakinuma, BA1, Masaru Kinugawa, M.S.1, Yuuri Miyamori, M.Eng1, Kenji Sato, M.S.1, Sayuri Yamamoto, B.Ag.1, Kunihiko Tanno, Dip.IT2, Kyousuke Nakamura, B.S.2, Ataru Igarashi, PhD3, Naoki Ikegami, PhD4, Kosuke Iwasaki, MBA5, Tomomi Takeshima, PhD5, AYANO CHIDA, High School Diploma6.
1Nippon Life Insurance Company, Tokyo, Japan, 2Nissay Information Technology Co., Ltd., Tokyo, Japan, 3Tokyo Univ. Facul. of Pharm. Dept. of Health Economics & Outcomes Research, Tokyo, Japan, 4Keio University, Tokyo, Japan, 5Milliman, Inc., Tokyo, Japan, 6Milliman,Inc Japan, Tokyo, Japan.
1Nippon Life Insurance Company, Tokyo, Japan, 2Nissay Information Technology Co., Ltd., Tokyo, Japan, 3Tokyo Univ. Facul. of Pharm. Dept. of Health Economics & Outcomes Research, Tokyo, Japan, 4Keio University, Tokyo, Japan, 5Milliman, Inc., Tokyo, Japan, 6Milliman,Inc Japan, Tokyo, Japan.
OBJECTIVES: Over-the-counter equivalent drugs (OTCEDs) refer to medications that are covered by health insurance but have the same ingredients as those available for purchase over the counter. Although OTCEDs can be purchased at pharmacies, as the patients only need to pay the copayment portion, many patients visit doctors to obtain OTCEDs. As the health insurance system is fundamentally designed to support medical care that is necessary and financially burdensome for individuals, some people claim that OTCEDs should be excluded from the coverage. On the other hand, other people think that excluding OTCEDs from the coverage would simply lead physicians to prescribe more expensive medications instead, ultimately increasing overall healthcare costs. To assess the significance of these debates, we calculated the proportion of healthcare expenditures attributable to OTCEDs.
METHODS: Using the “Wellness-Star☆” database, the number of prescriptions, the number of days supplied, and healthcare expenditures related to OTCEDs per person per year, stratified by age and gender, were calculated. The database is a health insurance claims database compiled by Nippon Life Insurance Company from approximately 200 health insurance societies.
RESULTS: In CY2021, the number of prescriptions, the number of days supplied, and healthcare expenditures related to OTCEDs per person per year were 5.0 times, 34.5 days, and €8.84 respectively. About 0.84% of the total cost was attributable to OTCEDs. OTCEDs were relatively frequently prescribed to young children and the elderly.
CONCLUSIONS: The cost of OTCEDs accounted for just under 1% of total healthcare expenditures, which is not insignificant. Since health insurance societies are employer-based and younger, this proportion is likely to be even higher at the national level. Given the importance of the OTCED issue, it is necessary to develop a more sophisticated model for a simulation.
METHODS: Using the “Wellness-Star☆” database, the number of prescriptions, the number of days supplied, and healthcare expenditures related to OTCEDs per person per year, stratified by age and gender, were calculated. The database is a health insurance claims database compiled by Nippon Life Insurance Company from approximately 200 health insurance societies.
RESULTS: In CY2021, the number of prescriptions, the number of days supplied, and healthcare expenditures related to OTCEDs per person per year were 5.0 times, 34.5 days, and €8.84 respectively. About 0.84% of the total cost was attributable to OTCEDs. OTCEDs were relatively frequently prescribed to young children and the elderly.
CONCLUSIONS: The cost of OTCEDs accounted for just under 1% of total healthcare expenditures, which is not insignificant. Since health insurance societies are employer-based and younger, this proportion is likely to be even higher at the national level. Given the importance of the OTCED issue, it is necessary to develop a more sophisticated model for a simulation.
Conference/Value in Health Info
2025-11, ISPOR Europe 2025, Glasgow, Scotland
Value in Health, Volume 28, Issue S2
Code
EE622
Topic
Economic Evaluation, Health Policy & Regulatory, Real World Data & Information Systems
Topic Subcategory
Cost/Cost of Illness/Resource Use Studies
Disease
Generics