Practical Geriatrics ›› 2024, Vol. 38 ›› Issue (12): 1210-1214.doi: 10.3969/j.issn.1003-9198.2024.12.005

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Cross-sectional survey of community management in elderly patients with chronic diseases

LU Chan, GUO Jianling, CHENG Yan, REN Liqun, WU Yanping   

  1. School of Medicine, Southeast University, Nanjing 210009, China(LU Chan);
    Suojin Village Community Health Service Center of Xuanwu District, Nanjing 210018, China(GUO Jianling);
    Xuanwu Lake Community Health Service Center in Xuanwu District, Nanjing 210042, China(CHENG Yan);
    Department of Geriatrics, Zhongda Hospital Southeast University, Nanjing 210009, China(REN Liqun, WU Yanping)
  • Received:2024-01-09 Online:2024-12-20 Published:2024-12-19
  • Contact: WU Yanping, Email: chuchu_999@126.com

Abstract: Objective To investigate the current situation and the influencing factors of chronic disease management in the elderly patients with chronic diseases in the communities of Nanjing. Methods From July to September 2023, 120 elderly patients with chronic diseases were selected from the Xuanwu Lake Community Health Service Center and Suojin Village Community Health Service Center in Nanjing. A cross-sectional survey was conducted using a general information questionnaire, Satisfaction with Life Scale (SWLS), Social Support Rating Scale (SSRS), Family Adaption, Partnership, Growth, Affection, and Resolve(APGAR), and Patient Assessment of Chronic Illness Care (PACIC). Pearson correlation analysis and multiple linear regression analysis were conducted to investigate the influencing factors of the score of PACIC. Results The score of PACIC in the 120 elderly patients with chronic diseases was 2.75±0.47, indicating a moderate level of medical support. Among them, 5 cases (4.2%) presented with low-level medical support, 106 cases (88.3%) presented with moderate-level medical support, and 9 cases (7.5%) presented with high-level medical support. The results of single factor analysis showed that there were significant differences in SWLS, SSRS and APGAR scores among the three groups (P<0.05). Multiple linear regression analysis showed that life satisfaction and social support were influencing factors of the score of PACIC in the elderly patients with chronic diseases (P<0.05). Conclusions The level of chronic disease management in the elderly patients is not high and is influenced by various factors. Clinical medical staff need to develop chronic disease management strategies to improve health status and quality of life in the elderly.

Key words: aged, chronic disease management, community management, cross-sectional survey

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