IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0243424.html
   My bibliography  Save this article

Impact of class-level labelling change on prescriptions of antidepressants for adolescents: An interrupted time-series study using a health insurance claims database in Japan, 2005-2013

Author

Listed:
  • Yumiko Ogino
  • Axel Jeremias Schmidt

Abstract

Background: In October 2007, the Japanese Health Authority directed that precautions be added to antidepressants (ADs) labelling regarding suicide risk among young people. Methods: We compared AD prescription rates per 100,000 population as a primary outcome. The intervention group comprised adolescents (10–24 years), while the control group comprised adults (25–64 years). We defined the pre-intervention period as January 2005 to October 2007 and post-intervention as November 2007 to February 2013. Monthly prescription rate data from a commercial claims database were triangulated with annual suicide rates in Japan. We performed segmented regression analysis for the prescription rates, using a quasi-Poisson model, and tested for level and trend changes. Results: The commercial claims database included 152,686 adolescents and 195,251 adults during the pre-intervention period and 846,367 adolescents and 1,352,453 adults during post-intervention. Post-intervention, the overall AD prescription rates decreased only in adult males (-95.8 prescription per 100,000) but increased in all other groups. The mean annual suicide rate increased in adolescent males (+1.5 suicides per 100,000) but decreased in all other groups. Overall, the upward trend became moderate or inverse in all groups post-intervention but with a large difference between males and females. The suicide rates rose slightly in adolescents but began declining in adults a year post-intervention. In females, changes in level, trend, and suicide rates were very small in both adolescents and adults. Conclusions: Contrary to expectations, the mean prescription rates only decreased in adult males, but not in adolescents, regardless of gender. Downward level and trend change were clearly observed in adult males but not in adolescents, the original target of the updated warning. There were no clear temporal associations between suicide rates and the labelling change in either group.

Suggested Citation

  • Yumiko Ogino & Axel Jeremias Schmidt, 2020. "Impact of class-level labelling change on prescriptions of antidepressants for adolescents: An interrupted time-series study using a health insurance claims database in Japan, 2005-2013," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-15, December.
  • Handle: RePEc:plo:pone00:0243424
    DOI: 10.1371/journal.pone.0243424
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0243424
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0243424&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0243424?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Unknown, 2014. "Media Coverage 2014," 2014: Ethics, Efficiency and Food Security: Feeding the 9 Billion, Well, 26-28 August 2014 225573, Crawford Fund.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Getz, Donald & Page, Stephen J., 2016. "Progress and prospects for event tourism research," Tourism Management, Elsevier, vol. 52(C), pages 593-631.
    2. Oliver Wagner & Thomas Adisorn & Lena Tholen & Dagmar Kiyar, 2020. "Surviving the Energy Transition: Development of a Proposal for Evaluating Sustainable Business Models for Incumbents in Germany’s Electricity Market," Energies, MDPI, vol. 13(3), pages 1-17, February.
    3. Garthwaite, K.A. & Collins, P.J. & Bambra, C., 2015. "Food for thought: An ethnographic study of negotiating ill health and food insecurity in a UK foodbank," Social Science & Medicine, Elsevier, vol. 132(C), pages 38-44.
    4. Mohammad Reyaz, 2020. "Cyberspace in the Post-Soviet States: Assessing the Role of New Media in Central Asia," Jadavpur Journal of International Relations, , vol. 24(1), pages 7-27, June.
    5. Saad, Mohsen & Samet, Anis, 2020. "Collectivism and commonality in liquidity," Journal of Business Research, Elsevier, vol. 116(C), pages 137-162.
    6. Koon-Magnin, Sarah, 2015. "Perceptions of and support for sex offender policies: Testing Levenson, Brannon, Fortney, and Baker’s findings," Journal of Criminal Justice, Elsevier, vol. 43(1), pages 80-88.
    7. Pantea Kamrani & Isabelle Dorsch & Wolfgang G. Stock, 2021. "Do researchers know what the h-index is? And how do they estimate its importance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5489-5508, July.
    8. Afful-Dadzie, Eric & Afful-Dadzie, Anthony, 2017. "Liberation of public data: Exploring central themes in open government data and freedom of information research," International Journal of Information Management, Elsevier, vol. 37(6), pages 664-672.
    9. Jeffrey Cohen & Yuan Ding & Cédric Lesage & Hervé Stolowy, 2017. "Media Bias and the Persistence of the Expectation Gap: An Analysis of Press Articles on Corporate Fraud," Journal of Business Ethics, Springer, vol. 144(3), pages 637-659, September.
    10. Hu, Gang & Jo, Koren M. & Wang, Yi Alex & Xie, Jing, 2018. "Institutional trading and Abel Noser data," Journal of Corporate Finance, Elsevier, vol. 52(C), pages 143-167.
    11. Diana Tsoy & Danijela Godinic & Qingyan Tong & Bojan Obrenovic & Akmal Khudaykulov & Konstantin Kurpayanidi, 2022. "Impact of Social Media, Extended Parallel Process Model (EPPM) on the Intention to Stay at Home during the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(12), pages 1-32, June.
    12. Oehler, Andreas & Schmitz, Jonas Tobias, 2021. "Does intensified communication of hedge funds with letters affect abnormal returns?," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 127-142.
    13. Yang, Xiaoping & Cao, Dongmei & Andrikopoulos, Panagiotis & Yang, Zonghan & Bass, Tina, 2020. "Online social networks, media supervision and investment efficiency: An empirical examination of Chinese listed firms," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    14. Yang Song, 2020. "The Mismatch Between Mutual Fund Scale and Skill," Journal of Finance, American Finance Association, vol. 75(5), pages 2555-2589, October.
    15. Bai, John (Jianqiu) & Ma, Linlin & Mullally, Kevin A. & Solomon, David H., 2019. "What a difference a (birth) month makes: The relative age effect and fund manager performance," Journal of Financial Economics, Elsevier, vol. 132(1), pages 200-221.
    16. Chen, Yangyang & Goyal, Abhinav & Veeraraghavan, Madhu & Zolotoy, Leon, 2020. "Terrorist attacks, investor sentiment, and the pricing of initial public offerings," Journal of Corporate Finance, Elsevier, vol. 65(C).
    17. Elena Kulchina, 2016. "A path to value creation for foreign entrepreneurs," Strategic Management Journal, Wiley Blackwell, vol. 37(7), pages 1240-1262, July.
    18. Seong Choul Hong, 2020. "Presumed Effects of “Fake News” on the Global Warming Discussion in a Cross-Cultural Context," Sustainability, MDPI, vol. 12(5), pages 1-11, March.
    19. Robert M. Bushman & Christopher D. Williams & Regina Wittenberg‐Moerman, 2017. "The Informational Role of the Media in Private Lending," Journal of Accounting Research, Wiley Blackwell, vol. 55(1), pages 115-152, March.
    20. Diego Téllez & Maximiliano González & Alexander Guzmán & María Andrea Trujillo, 2017. "What do you say and how do you say it: Information disclosure in Latin American firms," Documentos de Trabajo de Valor Público 16358, Universidad EAFIT.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0243424. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.