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This study intends to take patients with RGD as objects. Further construct a community-based rehabilitation management (CBRM) program with drug treatment, rehabilitation measures of education, psychology and exercise as its core content on the basis of evidence-based practice approach. Based on the cost-utility analysis of health economics, the health and economic benefits of the CBRM program will be evaluated, and a theoretical reference will be provided for community health institutions to carry out whole-course rehabilitation management practice and health policy formulation.
Full description
Based on the background of population aging, the prevalence of Late life depression tends to increase, and the recurrence rate after antidepressants treatment is still as high as 35%-57%, and the disease course tends to be chronic. Therefore, the formulation and implementation of prevention and control programs have become a significant part of the government's work plan. Physical frailty symptoms such as loss of daily activities and weakness are common in patients with remitted geriatric depression (RGD), and cognitive impairment is also considered to be an independent persistent symptom of RGD patients, which are related to the fluctuation and recurrence of depressive symptoms in elderly patients. Physical cognitive decline syndrome (PCDS) can comprehensively assess the physical frailty symptoms and the degree of cognitive impairment of the elderly, and effectively predict the course of the disease and the trend of healthy development. However, studies applied to the field of emotional disorder have not been retrieved. Therefore, this study intends to take patients with RGD as objects to investigate the prevalence of PCDS, build a risk prediction model and reveal it is warning mechanisms. That is, after determinning the basis of risk factors affecting the occurence of PCDS in RGD patients, we will carry out the formulation, implementation and evaluation of the follow-up CBRM program.
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120 participants in 2 patient groups
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Li Duan, Dr.
Data sourced from clinicaltrials.gov
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