Volume 23 Issue 11
Nov.  2025
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Article Navigation >  Chinese Journal of General Practice  > 2025  >  23(11): 1900-1904
ZHUO Shuxiong, WANG Ji, CAO Fuming, YE Xiadong, WU Jialin. Analysis and optimization of supply and demand matching difference of community integrated medical and elderly care based on multivariate statistical method[J]. Chinese Journal of General Practice, 2025, 23(11): 1900-1904. doi: 10.16766/j.cnki.issn.1674-4152.004256
Citation: ZHUO Shuxiong, WANG Ji, CAO Fuming, YE Xiadong, WU Jialin. Analysis and optimization of supply and demand matching difference of community integrated medical and elderly care based on multivariate statistical method[J]. Chinese Journal of General Practice, 2025, 23(11): 1900-1904. doi: 10.16766/j.cnki.issn.1674-4152.004256
shu

Analysis and optimization of supply and demand matching difference of community integrated medical and elderly care based on multivariate statistical method

doi: 10.16766/j.cnki.issn.1674-4152.004256

  • The Nanmatou Community Health Service Center, Pudong New District, Shanghai 200125, China

Funds:

 PW2021B-12

  • Received Date: 2024-11-04
    Available Online: 2026-01-07
    Abstract
  •   Objective  This study investigates the current situation of community-based integrated medical and elderly care in the Pudong New Area of Shanghai, analyzes the imbalance between service supply and demand and its influencing factors, and proposes strategies to optimize supply-demand alignment, thereby providing a theoretical reference for the development of integrated medical and elderly care systems.  Methods  From July to August 2024, a total of 330 general practitioners and 380 elderly people who met the inclusion and exclusion criteria were selected as the study subjects. The semi-structured interview method was used to design a questionnaire on the service dimensions of medical care. Factor analysis and K-means clustering analysis were used to analyze the matching between supply and demand.  Results  A total of 292 valid questionnaires were collected from general practitioners, with an effective recovery rate of 88.48%, and 350 valid questionnaires were collected from the elderly, with an effective recovery rate of 92.11%. The applicability test of factor analysis indicated good suitability for both groups, with Kaiser-Meyer-Olkin (KMO) values of 0.937 for general practitioners and 0.884 for the elderly, and Bartlett' s spherical test showing P < 0.001. The results of factor analysis showed that significant differences in the matching of supply and demand in the dimensions of medical examination, referral service, and psychological/spiritual support service (P < 0.05). According to the common factor score, the results of K-means cluster analysis showed that significant differences among the six dimensions of supply-demand services of integrated medical provided by general practitioners (P < 0.05). Among the elderly, significant differences were observed in the needs of health education, health management, medical inspection, traditional Chinese medicine service, and psychological/spiritual support service (P < 0.05).  Conclusion  In the practice of community integrated medical and elderly care, a certain degree of mismatch exists between supply and demand, which is a key factor limiting the high-quality development of the elderly care industry. Therefore, this study proposes optimization suggestions at the macro, meso, micro levels to further narrow the gap between supply and demand and promote the goal of achieving healthy aging.

     

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