A Meta-Analysis of Pension Models for Patients with Mental Disorders

Abstract

Objective: To analyze the pension models available for patients with mental disorders and design a more suitable one. Methods: A total of 135 pieces of literature in the database of China National Knowledge Infrastructure (CNKI) published from August 11, 1970, to November 17, 2022, were classified and analyzed. A knowledge map was drawn and the research context was sorted out from the aspects of temporal distribution, spatial distribution, research hotspots, and evolutionary trend, so as to reveal the research status and development trend in the field of pension for patients with mental disorders. Results: The temporal distribution of the literature in this review involved 20 disciplines, 41 papers, 2 information articles, 40 authors, 13 research levels, and 20 research institutions. In terms of research hotspots and evolutionary trends, the keywords “disability pension,” “pension institutions,” and “patients with mental disorders” play a fundamental role in the dynamic evolution and diversification of research topics in the field of the mental disorder pension model. Conclusion: There has been not much research on elderly care for patients with mental disorders, and it is still in the exploratory stage without a sustainable and stable research theme. In recent years, keywords such as “the combination of medical care,”“community care for the elderly,” and “intelligent care” for the elderly have become prominent and the number of related studies has increased, and the research quality in this field has also improved. Intelligent medical care for elderly patients with mental disorders will become the trend of future research.