Evidence map›Paper›PMID 36517752›Full record

ArticleBMC psychiatry2022

A cross-sectional analysis of registry data of severe mental disorders in Fuzhou, China: current status and prospects.

Fuhao Zheng, Yawen Lin, Qinfei Wei, Zhaonan Zeng, Duanhua Xiong, Siying Wu

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC psychiatry, 2022. 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
0.2field-weighted citation impact, top 39% of its field
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, 2 citations in OpenAlex.

  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

6 authors at 2 institutions in 1 country.

Fuhao Zheng *Department of Epidemiology and Health Statistics, The Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, 350001, China.
Yawen Lin *Department of Epidemiology and Health Statistics, The Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, 350001, China.
Qinfei Wei *Department of Epidemiology and Health Statistics, The Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, 350001, China.
Zhaonan ZengCenter for Experimental Research in Clinical Medicine, Fujian Provincial Hospital, Fujian Medical University, Fuzhou, 350001, China.
Duanhua XiongDepartment of Prevention and Treatment, Fuzhou Neuropsychiatric Hospital, Fuzhou, 350001, China.
Siying WuDepartment of Epidemiology and Health Statistics, The Key Laboratory of Environment and Health, School of Public Health, Fujian Medical University, Fuzhou, 350001, China. fmuwsy@163.com.
Fujian Medical University · CNFujian Provincial Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the proportion of registered cases relative to size, distribution characteristics, medication status, and management status of patients diagnosed with severe mental disorders (SMD) in Fuzhou. The medication status and management status were compared between patients in urban and non-urban areas to provide scientific evidence for improving SMD care, control, and treatment in primary health care institutions.

methodsData (case types, demographic data, distribution data, medication status, and management status, etc.) of patients diagnosed with SMD in 12 districts, counties, and prefectures in the urban and non-urban areas of Fuzhou City were collected from October 2017 to September 2018. Three distributions (population, local, and districts/counties) were used to describe the proportion of registered cases relative to size and clinical characteristics of diagnosed SMD. Chi squared (χ2) test was used to compare the severity in urban and non-urban areas.

resultsA total of 30,362 registered SMD patients were identified in Fuzhou City of which schizophrenia accounted for the highest number of cases (26,204, 86.31%), and paranoid psychosis had the least number of cases (47, 0.15%). Moreover, approximately half of SMD patients were 18 to 44 years old (45.38%). Close to one third of patients were farmers (30.23%), had a primary school or lower education level (54.17%), were poor, with most below the poverty line (55.35%). The proportion of diagnosed SMD relative to size was highest in Minqing County (0.53%) and lowest in Mawei District (0.38%). A total of 22,989 (75.72%) of the patients were taking medications, and only 17,509 (57.67%) were taking medications regularly. Moreover, the percentage of cases taking medications and those taking medications regularly were higher in urban areas than in non-urban areas (P<0.05). A total of 3065 patients were registered for management (10.09%). The managed proportion of SMD cases was higher in the urban areas than in the non-urban areas (P < 0.05).

conclusionSchizophrenia is a key disease for comprehensive care and control of severe mental disorders in Fuzhou. The management of severe mental disorders should focus on poor groups with low educational backgrounds. Drug usage and management are better in urban areas than in non-urban areas, and thus management should be enhanced in non-urban areas. The medication management and case management of patients with severe mental disorders in Fuzhou need further improvements.

Indexed as

Mental DisordersRural PopulationAdolescentAdultChinaCross-Sectional StudiesHumansRoutinely Collected Health DataYoung AdultDisease managementEpidemiologySevere mental disorders

Identifiers

PMID36517752
PMCPMC9753341
OpenAlexW4311480575

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.