Inpatient Flow Distribution Patterns at Shanghai Hospitals.

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  • Author(s): Xiong X;Xiong X; Luo L; Luo L
  • Source:
    International journal of environmental research and public health [Int J Environ Res Public Health] 2020 Mar 25; Vol. 17 (7). Date of Electronic Publication: 2020 Mar 25.
  • Publication Type:
    Journal Article; Research Support, Non-U.S. Gov't
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238455 Publication Model: Electronic Cited Medium: Internet ISSN: 1660-4601 (Electronic) Linking ISSN: 16604601 NLM ISO Abbreviation: Int J Environ Res Public Health Subsets: MEDLINE
    • Publication Information:
      Original Publication: Basel : MDPI, c2004-
    • Subject Terms:
      Hospital Departments*/organization & administration ; Hospitals* ; Inpatients*; Child ; China ; Female ; Humans ; Logistic Models ; Pregnancy
    • Abstract:
      Empirical studies based on patient flow data are needed to provide more materials to summarize the general pattern of patient distribution models. This study takes Shanghai as an example and tries to demonstrate the inpatient flow distribution model for different levels and specialties of medical institutions. Power, negative exponential, Gaussian, and log-logistic models were used to fit the distributions of inpatients, and a model of inpatient distribution patterns in Shanghai was derived, based on these four models. Then, the adjusted coefficient of determination (R 2 ) and Akaike information criterion (AIC) values were used to assess the model fitting effect. The log-logistic function model has a good simulation effect and the strongest applicability in most hospitals. The estimated value of the distance-decay parameter β in the log-logistic function model is 1.67 for all patients, 1.89 for regional hospital inpatients, 1.40 for tertiary hospital inpatients, 1.64 for traditional Chinese medicine hospital inpatients, and 0.85 for mental hospital inpatients. However, the simulations at the tumor, children's and maternity hospitals, were not satisfactory. Based on the results of empirical analysis, the four attenuation coefficient models are valid in Shanghai, and the log-logistic model of the inpatient distributions at most hospitals have good simulation effects. However, further in-depth analysis combined with the characteristics of specific specialties is needed to obtain the inpatient model in line with the characteristics of these specialties.
      Competing Interests: The authors declare no conflict of interest.
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    • Contributed Indexing:
      Keywords: Shanghai; distribution patterns; empirical study; inpatient flow
    • Publication Date:
      Date Created: 20200329 Date Completed: 20200921 Latest Revision: 20200921
    • Publication Date:
      20240829
    • Accession Number:
      PMC7178051
    • Accession Number:
      10.3390/ijerph17072183
    • Accession Number:
      32218255