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ORIGINAL RESEARCH article

Front. Public Health
Sec. Health Economics
Volume 12 - 2024 | doi: 10.3389/fpubh.2024.1308867

• decision tree-Markov model of Perinatal depression screening: a cost-utility analysis

Provisionally accepted
  • 1 Chinese Center For Disease Control and Prevention, Beijing, China
  • 2 Capital Institute of Pediatrics, Beijing, Beijing Municipality, China

The final, formatted version of the article will be published soon.

    Background: perinatal depression affects the physical and mental health of pregnant women. It also has a negative effect on children, families, and society, and the incidence is high. We constructed a cost-utility analysis model for perinatal depression screening in China and evaluated the model from the perspective of health economics.Methods: We constructed a Markov model that was consistent with the screening strategy for perinatal depression in China, and two screening strategies (screening and non-screening) were constructed.The cost-utility ratio and incremental cost-utility ratio of different screening strategies were obtained by multiplicative analysis to evaluate the health economic value of the two screening strategies. Finally, deterministic and probabilistic sensitivity analyses were conducted on the uncertain parameters in the model to explore the sensitivity factors that affected the selection of screening strategies.Results: The cost-utility analysis showed that the per capita cost of the screening strategy was 129.54 yuan, 0.85 quality-adjusted life years (QALYs) could be obtained, and the average cost per QALY gained was 152.17 yuan. In the non-screening (routine health care) group, the average cost was 171.80 CNY per person, 0.84 QALYs could be obtained, and the average cost per QALY gained was 205.05 CNY. Using one gross domestic product per capita in 2021 as the willingness to pay threshold, the incremental cost-utility ratio of screening versus no screening (routine health care) was about -3,126.77 yuan, which was lower than one gross domestic product per capita. Therefore, the screening strategy was more cost-effective than no screening (routine health care). Sensitivity analysis was performed by adjusting the parameters in the model, and the results were stable and consistent, which did not affect the choice of the optimal strategy. Conclusions: Compared with no screening (routine health care), the recommended perinatal depression screening strategy in China is cost-effective. In the future, it is necessary to continue to standardize screening and explore different screening modalities and tools suitable for specific regions.

    Keywords: Perinatal depression, Perinatal psychiatric disorders, Depression screening, Decision Tree-Markov Model, Cost-utility analysis

    Received: 07 Oct 2023; Accepted: 29 Apr 2024.

    Copyright: © 2024 Yang, Zheng, Yang, Huang and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Yehuan Yang, Chinese Center For Disease Control and Prevention, Beijing, China
    Ruimin Zheng, Chinese Center For Disease Control and Prevention, Beijing, China
    Li Yang, Chinese Center For Disease Control and Prevention, Beijing, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.