Cost-effectiveness of AI-based diabetic retinopathy screening in nationwide health checkups and diabetes management in Japan: A modeling study

IF 6.1 3区医学 Q1 ENDOCRINOLOGY & METABOLISM Diabetes research and clinical practice Pub Date : 2025-01-30 DOI:10.1016/j.diabres.2025.112015

Yoko Akune , Ryo Kawasaki , Rei Goto , Hiroshi Tamura , Yoshimune Hiratsuka , Masakazu Yamada

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Abstract

Aims

We evaluated the cost-effectiveness of artificial intelligence (AI)-based diabetic retinopathy (DR) screening in Japan. This evaluation compared the simultaneous introduction of AI in nationwide health checkups, namely “specific health check-ups in Japan” (SHC), and diabetes complication management (AI-case) with the current situation where AI is not being introduced (conventional-case) from the healthcare payer’s perspective.

Methods

A cost-effectiveness analysis was conducted using a new individual-based state transition model. Model parameters, including the incidence and progression of DR, health utility values, and costs of screening and treatment, were based on literature data and expert opinion. The analysis estimated quality-adjusted life years (QALYs), cumulative costs, and incremental cost-effectiveness ratios (ICER).

Results

The ICER comparing the AI-case with conventional-case was estimated to be JPY 1,598,244/QALY (USD 11,375/QALY), which is below the willingness-to-pay threshold of JPY 5 million/QALY (USD 35,584/QALY). Scenario analyses revealed that ICERs for the AI-based DR screening in SHC-only condition was JPY 1,895,226/QALY (USD 13,488/QALY) and JPY 3,960,839/QALY (USD 28,189/QALY) in diabetes management-only condition.

Conclusions

The introduction of AI-based DR screening for SHC and diabetes management was cost-effective compared to the current situation in Japan.

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来源期刊

Diabetes research and clinical practice 医学-内分泌学与代谢

CiteScore

10.30

自引率

3.90%

发文量

862

审稿时长

32 days

期刊介绍： Diabetes Research and Clinical Practice is an international journal for health-care providers and clinically oriented researchers that publishes high-quality original research articles and expert reviews in diabetes and related areas. The role of the journal is to provide a venue for dissemination of knowledge and discussion of topics related to diabetes clinical research and patient care. Topics of focus include translational science, genetics, immunology, nutrition, psychosocial research, epidemiology, prevention, socio-economic research, complications, new treatments, technologies and therapy.