Evidence map›Paper›PMID 39210438›Full record

ArticleGlobal health research and policy2024

Public mental health services in Southern China and related health outcomes among individuals living with severe mental illness.

Dan Qiu, Yilu Li, Shuiyuan Xiao, Liang Zhou, Lianzhong Liu, Huiming Liu, Feihong Gao, Qiuyan Wu, Yanni An, Zixuan Tang

Abstract read
In one paragraph

Article in Global health research and policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

10 authors.

Dan QiuDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, 110 Xiangya Road, Changsha, 410078, Hunan, China.
Yilu LiDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, 110 Xiangya Road, Changsha, 410078, Hunan, China.
Shuiyuan XiaoDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, 110 Xiangya Road, Changsha, 410078, Hunan, China. xiaosy@csu.edu.cn.
Liang ZhouThe Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Lianzhong LiuWuhan Mental Health Center, Wuhan, Hubei, China.
Huiming LiuShenzhen Kangning Hospital, Shenzhen, Guangdong, China.
Feihong GaoThe Ninth Hospital of Changsha, Changsha, Hunan, China.
Qiuyan WuDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, 110 Xiangya Road, Changsha, 410078, Hunan, China.
Yanni AnDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, 110 Xiangya Road, Changsha, 410078, Hunan, China.
Zixuan TangDepartment of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, 110 Xiangya Road, Changsha, 410078, Hunan, China.

Funding

China Medical Board CMB14-188
6 · The paper itself

Abstract

backgroundAlthough national policies in China are comprehensive and instructive, a wide disparity exists between different cities. The current status of public mental health services by region in China remains unclear. This study aimed to investigate policies related to public mental health services, the contact coverage of public mental health services and outcomes of service users.

methodsA cross-sectional study was carried out in Southern China, between April 2021 and March 2022.  Considering the geographical location, socioeconomic development levels, and prevalence of severe mental illness, four cities including Wuhan, Changsha, Guangzhou, and Shenzhen were selected. Relevant service providers were asked to report data on mental health policies and facility-related information, including mental health resources, registration rates of patients, management rates of patients, and medication rates of patients. Eligible patients were invited to report service user-related data, including contact coverage of public mental health services and their outcomes. SPSS 26.0 was used for data analysis.

resultsThe four cities in Southern China have made different efforts to develop public mental health services, primarily focusing on socio-economically disadvantaged individuals. Community health centers in Guangzhou and Shenzhen reported having more professional human resources on mental health and higher mental health budgets for patients. The contact coverage rates of most public mental services were higher than 80%. Patients in Changsha (B = 0.3; 95%CI: 0.1-0.5), Guangzhou (B = 0.2; 95%CI: 0.1-0.3), and Shenzhen (B = 0.3; 95%CI: 0.1-0.4) who received social medical assistance services reported higher levels of medication adherence. Patients in Wuhan (B = -6.5; 95%CI: -12.9--0.1), Guangzhou (B = -2.8; 95%CI: -5.5--0.1), and Shenzhen who received community-based rehabilitation services reported lower levels of disability (B = -2.6; 95%CI: -4.6--0.5).

conclusionsThere have been advances in public mental health services in the four Southern cities. The contact coverage rates of most public mental health services were higher than 80%. Patients' utilization of public mental services was associated with better health outcomes. To improve the quality of public mental health services, the government should try to engage service users, their family members, and supporters in the design, delivery, operationalization, and evaluation of these public mental health services in the future.

Indexed as

Mental DisordersMental Health ServicesAdultChinaCross-Sectional StudiesFemaleHealth PolicyHumansMaleMiddle AgedChinaContact coverageMental health serviceSevere mental illness

Identifiers

PMID39210438
PMCPMC11363596

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LicenceCC BY
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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.