Regional disparities in insurance-covered cognitive behavioural therapy in Japan: a nationwide cross-sectional study using National Database Open Data, 2015–2023
Overview
This nationwide cross-sectional study analyzes insurance-covered cognitive behavioural therapy utilization in Japan from 2015 to 2023 using national health insurance claims data. The authors report that CBT remains severely underused, accounting for only 0.14% of psychiatric patients, with significant regional disparities and a decline in total claims over the study period. The resource is intended for researchers or policymakers interested in healthcare access patterns and systemic barriers to psychological treatments.
- ID
ce1840d8ef5141ac- Source org
- PubMed Central
- Author
- Takayuki Fujii (Yasuda Women's University), Yuji Nogami (Nakamura Gakuen University), Taiga Seo (Social Security Office (Thailand))
- Published
- 2026-04-01
- OA status
- gold
- DOI
- 10.1136/bmjopen-2025-115722
- PMID
- Not recorded
- PMCID
- Not recorded
- Citations
- 0
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- linkok via http-check · 2026-07-21T15:52:31.592259+00:00
Cite this entry
BibTeX
@article{allodium:ce1840d8ef5141ac,
title = {Regional disparities in insurance-covered cognitive behavioural therapy in Japan: a nationwide cross-sectional study using National Database Open Data, 2015–2023},
author = {Takayuki Fujii and Yuji Nogami and Taiga Seo},
year = {2026},
journal = {PubMed Central},
doi = {10.1136/bmjopen-2025-115722},
url = {https://doi.org/10.1136/bmjopen-2025-115722}
}RIS
TY - JOUR TI - Regional disparities in insurance-covered cognitive behavioural therapy in Japan: a nationwide cross-sectional study using National Database Open Data, 2015–2023 AU - Fujii, Takayuki AU - Nogami, Yuji AU - Seo, Taiga PY - 2026 PB - PubMed Central DO - 10.1136/bmjopen-2025-115722 UR - https://doi.org/10.1136/bmjopen-2025-115722 ER -
APA
Fujii, T., Nogami, Y., & Seo, T. (2026). Regional disparities in insurance-covered cognitive behavioural therapy in Japan: a nationwide cross-sectional study using National Database Open Data, 2015–2023. PubMed Central. https://doi.org/10.1136/bmjopen-2025-115722
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