Research on the Current Status of Pension Models for Individuals with Mental Disorders in China

Abstract Objective: By analyzing the existing literature, this paper aims to explore the current situation of the pension model for patients with mental disorders in China and put forward corresponding suggestions for improvement. How: This study analyzes the current situation of the pension model for patients with mental disorders in China by referring to the views of experts and scholars, relevant cases and statistical data through the literature and review of CNKI. Focusing on the existing elderly care service system, policy support and social cognition, this paper reveals the main characteristics and existing problems of the current Chinese elderly care model for people with mental disabilities. By comparing the advanced pension models at home and abroad, this paper puts forward some suggestions on strengthening policy support and improving service system. Results: The research shows that China's existing pension models mainly include family care, institutional pension and community service. The main problems facing: insufficient service supply, shortage of professional talents, social cognition and discrimination. Home care is still the main way, more than 70% of people with mental disorders rely on home care, but face great pressure and challenges; The construction of institutional elderly care and community service systems is gradually developing, but there are still insufficient resources, low service quality, and uneven distribution between urban and rural areas. Policy suggestions: Strengthen the construction and improvement of community support system; Improve professional training to ensure service quality; Use scientific and technological means to assist the elderly and ease the shortage of human resources. It is suggested that we should strengthen the construction of community support system and improve the level of professional service in the future. Conclusion: In China, the mode of nursing care for patients with mental disorders is in the transition period, and family nursing is still the mainstream, but it also faces great challenges. Institutional care and community services have developed, but they are not yet sufficient to replace the role of the family. The future development direction should be multi-dimensional, forming a diversified and three-dimensional elderly care service network.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-18
DOI
https://doi.org/10.5281/zenodo.13949262
Primary Topic
Intergenerational Family Dynamics and Caregiving
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the Current Status of Pension Models for Individuals with Mental Disorders in China

Zenodo (CERN European Organization for Nuclear Research)
Intergenerational Family Dynamics and Caregiving
article

Research on the Current Status of Pension Models for Individuals with Mental Disorders in China

article en

Abstract

Abstract Objective: By analyzing the existing literature, this paper aims to explore the current situation of the pension model for patients with mental disorders in China and put forward corresponding suggestions for improvement. How: This study analyzes the current situation of the pension model for patients with mental disorders in China by referring to the views of experts and scholars, relevant cases and statistical data through the literature and review of CNKI. Focusing on the existing elderly care service system, policy support and social cognition, this paper reveals the main characteristics and existing problems of the current Chinese elderly care model for people with mental disabilities. By comparing the advanced pension models at home and abroad, this paper puts forward some suggestions on strengthening policy support and improving service system. Results: The research shows that China's existing pension models mainly include family care, institutional pension and community service. The main problems facing: insufficient service supply, shortage of professional talents, social cognition and discrimination. Home care is still the main way, more than 70% of people with mental disorders rely on home care, but face great pressure and challenges; The construction of institutional elderly care and community service systems is gradually developing, but there are still insufficient resources, low service quality, and uneven distribution between urban and rural areas. Policy suggestions: Strengthen the construction and improvement of community support system; Improve professional training to ensure service quality; Use scientific and technological means to assist the elderly and ease the shortage of human resources. It is suggested that we should strengthen the construction of community support system and improve the level of professional service in the future. Conclusion: In China, the mode of nursing care for patients with mental disorders is in the transition period, and family nursing is still the mainstream, but it also faces great challenges. Institutional care and community services have developed, but they are not yet sufficient to replace the role of the family. The future development direction should be multi-dimensional, forming a diversified and three-dimensional elderly care service network.

Zenodo (CERN European Organization for Nuclear Research)
First Affiliated Hospital of Xi'an Jiaotong University (CN)
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 46%
Intergenerational Family Dynamics and Caregiving
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.