Volume 21 Issue 6
Jun.  2023
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YANG Jianling, LUAN Yiming, WANG Minqin, WEI Xinping, ZHOU Liang, WANG Zhaoxin. Analysis on influential factors of inpatient care for the elderly in a residential area in Minhang District, Shanghai based on Andersen' s healthy behavioral model[J]. Chinese Journal of General Practice, 2023, 21(6): 992-995. doi: 10.16766/j.cnki.issn.1674-4152.003033
Citation: YANG Jianling, LUAN Yiming, WANG Minqin, WEI Xinping, ZHOU Liang, WANG Zhaoxin. Analysis on influential factors of inpatient care for the elderly in a residential area in Minhang District, Shanghai based on Andersen' s healthy behavioral model[J]. Chinese Journal of General Practice, 2023, 21(6): 992-995. doi: 10.16766/j.cnki.issn.1674-4152.003033

Analysis on influential factors of inpatient care for the elderly in a residential area in Minhang District, Shanghai based on Andersen' s healthy behavioral model

doi: 10.16766/j.cnki.issn.1674-4152.003033
Funds:

 GWV-10.2-XD07

 201740202

  • Received Date: 2022-05-17
    Available Online: 2023-08-26
  •   Objective  By summarizing the investigation of the long-term care needs of the elderly in a residential area of Minhang, Shanghai, this paper aims to explore the influencing factors of the elderly ' s choice of inpatient care by selecting a scientific analysis framework and analysis method, so as to provide reference for the establishment of a demand-based inpatient care service model.  Methods  Based on the elderly long-term care needs questionnaire, this paper established inpatient care theoretical analysis framework with Andersen ' s Behavioral Model. And then, three different logistic regression model was proposed to analysis the characteristics set, promoting factor set and needs set step by step into those logit model, so as to explore the factors affecting inpatient care.  Results  (1) Logistic model goodness of fit: Model 3 > model 1 > model 2. (2) The gender (Waldχ2=7.025, P=0.007, OR=0.244), type of health insurance (Waldχ2=4.516, P=0.034, OR=0.677), end-stage cancer (Waldχ2=4.918, P=0.027, OR=0.274), and visual impairment and vision level (Waldχ2=4.687, P=0.030, OR=1.890) were significant influencing factors for inpatient care by combining the three logistic models.  Conclusion  In terms of inpatient care for the elderly in Shanghai, we don ' t have to overthink the economic promotion factors such as income housing condition. The segmentation health needs such as end-stage cancer and visual disability should be emphasized heavily.

     

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