Evidence map›Paper›PMID 41039410›Full record

ArticleBMC psychiatry2025

A cross-sectional analysis of the community-based management and treatment status of patients with severe mental disorders in Eastern China.

Fan Duan, Nengcui Xia, Xiangyu Li, Chuanfu Song, Yan Ma, Jing Zhang, Changping Zhai, Wenli Zhu, Fangfang Duo, Yong Liu and 1 more

Abstract read
In one paragraph

Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Fan Duan *School of Mental Health, Bengbu Medical University, Bengbu, Anhui, 233030, China.
Nengcui Xia *Mental Health Prevention and Control Department, Anhui Mental Health Center, Hefei Fourth Peoples Hospital, Anhui Medical University Affiliated Psychological Hospital, Hefei, Anhui, 230022, China.
Xiangyu Li *School of Mental Health, Bengbu Medical University, Bengbu, Anhui, 233030, China.
Chuanfu SongWuhu Fourth Peoples Hospital affiliated with Bengbu Medical University, Wuhu, Anhui, 242407, China.
Yan MaSchool of Mental Health, Bengbu Medical University, Bengbu, Anhui, 233030, China.
Jing ZhangSchool of Mental Health, Bengbu Medical University, Bengbu, Anhui, 233030, China.
Changping ZhaiAnhui Province Veterans Hospital, Bengbu, Anmin Hospital affiliated with Bengbu Medical University, Bengbu, Anhui, 233000, China.
Wenli ZhuWuhu Fourth Peoples Hospital affiliated with Bengbu Medical University, Wuhu, Anhui, 242407, China.
Fangfang DuoAnhui Province Veterans Hospital, Bengbu, Anmin Hospital affiliated with Bengbu Medical University, Bengbu, Anhui, 233000, China.
Yong LiuMental Health Prevention and Control Department, Anhui Mental Health Center, Hefei Fourth Peoples Hospital, Anhui Medical University Affiliated Psychological Hospital, Hefei, Anhui, 230022, China. 154566224@qq.com.
Dongliang JiaoSchool of Mental Health, Bengbu Medical University, Bengbu, Anhui, 233030, China. jdl3925697@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the effectiveness of community-based services for severe mental disorders (SMDs) has been established globally, evaluations within specific contexts—especially in low- and middle-income countries, and particularly regarding national programs—remain relatively scarce. This study analyzes the current status of the National Information System for Psychosis during its implementation in Anhui Province, China, aiming to assess its impact and identify persistent challenges, to provide a reference for formulating targeted policies.

methodsData on SMDs were obtained from the National Information System for Psychosis. The registration, Management, and treatment status of patients with SMD in Anhui Province from 2015 to 2023 were analyzed and compared with national data.

resultsFrom 2015 to 2023, Anhui Province’s SMD management and treatment indicators showed significant improvement (P < 0.0001). Compared to 2015, 2023 rates increased substantially: registration (+ 41.69%), management (+ 13.22%), regular management (+ 109.29%), medication-taking (+ 116.02%), regular medication-taking (+ 231.23%), and patient stability (+ 148.35%). These rates were positively correlated (P < 0.0001). However, significant inter-regional imbalances persisted (P < 0.0001). In 2023, Anhui had 318,521 registered SMD patients, predominantly aged 18–59 (74.36%), with education below middle school (85.63%), and residing rurally (78.77%). Among six SMDs, patients with mental retardation and mental disorders had the longest mean Duration of Untreated Psychosis (DUP)(4.93 years), lowest medication-taking rate (82.75%), and lowest regular medication-taking rate (66.26%).

conclusionsThe National Information System for Psychosis has produced a significant positive impact on service coverage and treatment outcomes in Anhui. However, significant disparities exist between different regions. This study has identified specific high-risk populations within the cohort of patients with mental disorders. These findings provide actionable evidence for policymakers: prioritizing resource allocation to reduce regional disparities, developing targeted interventions for rural populations and those with low educational attainment, and implementing specialized support strategies for patients suffering from schizophrenia and mental retardation with mental disorders are essential for achieving equitable and high-quality community mental health services in China.

Indexed as

Community Mental Health ServicesMental DisordersPsychotic DisordersAdultChinaCross-Sectional StudiesFemaleHumansMaleCommunity mental health servicesNational Information System for PsychosisSevere mental disorders

Identifiers

PMID41039410
PMCPMC12490114

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.