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Erschienen in: Psychiatric Quarterly 4/2019

18.11.2019 | Review Article

Treatment Rate for Major Depressive Disorder in China: a Meta-Analysis of Epidemiological Studies

verfasst von: Han Qi, Qian-Qian Zong, Grace K. I. Lok, Wen-Wang Rao, Feng-Rong An, Gabor S. Ungvari, Lloyd Balbuena, Qing-E Zhang, Yu-Tao Xiang

Erschienen in: Psychiatric Quarterly | Ausgabe 4/2019

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Abstract

Major depressive disorder (MDD) is a common psychiatric disorder in China, but its reported treatment rate varies largely across different studies. The objective of this meta-analysis was to determine the pooled treatment rate for people with MDD in China and its associated factors. Both English (PubMed, Cochrane Library, PsycINFO, Web of Science) and Chinese (Chinese National Knowledge Infrastructure, WanFang and SinoMed) databases were searched from their commencement date to November 13, 2018. Epidemiological studies that reported the treatment rate of MDD were included and synthesized using a random effects model. Fifteen studies covering 609,054 participants were included. The pooled treatment rate for MDD in China was 19.5% (95% CI: 10.7%–28.4%). Among the 15 studies, 9 reported the number of patients who received treatments in psychiatric hospitals with a pooled treatment rate of 5.2% (95% CI: 2.8%–7.5%). Meta-regression found that study quality (β = 0.131, P = 0.028) and male gender (β = 0.006, P = 0.039) were significantly associated with a higher treatment rate for MDD. In China, the treatment rate for MDD, particularly in psychiatric hospitals, was low. Effective public education and increasing access to mental health services will probably increase the number of people seeking and receiving treatment.
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Metadaten
Titel
Treatment Rate for Major Depressive Disorder in China: a Meta-Analysis of Epidemiological Studies
verfasst von
Han Qi
Qian-Qian Zong
Grace K. I. Lok
Wen-Wang Rao
Feng-Rong An
Gabor S. Ungvari
Lloyd Balbuena
Qing-E Zhang
Yu-Tao Xiang
Publikationsdatum
18.11.2019
Verlag
Springer US
Erschienen in
Psychiatric Quarterly / Ausgabe 4/2019
Print ISSN: 0033-2720
Elektronische ISSN: 1573-6709
DOI
https://doi.org/10.1007/s11126-019-09666-9

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