Evidence map›Paper›PMID 39896792›Full record

ArticleFrontiers in public health2025

Influencing factors of the participation of patients with severe mental disorders in community health service management.

Shiming Li, Yingying Ji, Queping Yang, Ying Jiang, Qitao Yin, Haohao Zhu

Abstract read
In one paragraph

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

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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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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.

Shiming Li *Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, China.
Yingying Ji *Affiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, China.
Queping YangAffiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, China.
Ying JiangAffiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, China.
Qitao YinAffiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, China.
Haohao ZhuAffiliated Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to explore the participation of patients with severe mental disorders in community health service management and its influencing factors in Wuxi. Methods: The data of patients with severe mental disorders were extracted from the Jiangsu Provincial Management System between 2019 and 2021. The participation of patients in community health service management was analyzed. A univariate stratified analysis will be used to assess the impact of various factors on inclusion in community management. Logistic regression modeling will be employed to identify influencing factors. Ultimately, negative factors affecting participation in community health management will be identified, followed by targeted qualitative analysis through interviews. Results: A total of 27,977 individuals were included in the analysis, with 25,744 participants enrolled in community health service management, resulting in a management rate of 92.02%. Multivariate logistic regression analysis revealed the following negative factors influencing participation in community health service management: Age group 31-40 years (OR = 0.532, 95% CI: 0.434-0.653), Age group 41-50 years (OR = 0.557, 95% CI: 0.468-0.663), Age group 51-60 years (OR = 0.746, 95% CI: 0.635-0.877), Age group >60 years (OR = 0.840, 95% CI: 0.719-0.969), Duration of illness 6-10 years (OR = 0.376, 95% CI: 0.307-0.461), Duration of illness 11-15 years (OR = 0.312, 95% CI: 0.249-0.390), Duration of illness 16-20 years (OR = 0.702, 95% CI: 0.529-0.932), Duration of illness >20 years (OR = 0.701, 95% CI: 0.514-0.957), Education level of college or above (OR = 0.719, 95% CI: 0.560-0.923), Current student status (OR = 0.565, 95% CI: 0.419-0.760), Absence of social welfare benefits (OR = 0.643, 95% CI: 0.572-0.723), History of violent or harmful behavior (OR = 0.553, 95% CI: 0.442-0.692), Non-participation in community rehabilitation activities (OR = 0.170, 95% CI: 0.101-0.284). Conversely, the following factors were identified as positive influences on participation: Being a farmer (OR = 1.423, 95% CI: 1.215-1.665), Widowhood (OR = 2.355, 95% CI: 1.583-3.503), Divorce (OR = 2.992, 95% CI: 2.093-4.278). Qualitative analysis indicated that stigma associated with the illness, concerns over information disclosure, lack of social support, impacts on family members (e.g., children's education or marriage prospects), perceived ineffectiveness of community services, lack of awareness about available community health services, and the belief that services were unnecessary contributed to non-participation in community health service management. Conclusion: The participation rate of patients with severe mental disorders in health service management is relatively low in the Wuxi. Special attention should be given to patients with severe mental disorders who exhibit negative factors, such as being middle-aged or young, having a long duration of illness, a history of violent or harmful behavior, higher education levels (college and above), student status, or lack of social welfare benefits. Efforts should focus on providing social support activities, reducing stigma associated with the illness, and further improving the management rate.

Indexed as

Community Health ServicesCommunity Mental Health ServicesMental DisordersPatient ParticipationAdolescentAdultChinaFemaleHumansLogistic ModelsMaleMiddle AgedYoung AdultChinacommunity health service managementinfluencing factorssevere mental disordersWuxi

Identifiers

PMID39896792
PMCPMC11782037

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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.