Selected article for: "binary regression and Charlson comorbidity index"
Author: Liu, Keh-Sen; Yu, Tsung-Fu; Wu, Hsing-Ju; Lin, Chun-Yi
Title: The impact of global budgeting in Taiwan on inpatients with unexplained fever
  • Document date: 2019_9_13
    • ID: 432t0q7w_34
    Snippet: A generalized linear binary regression model was used for analysis. GB did not have a significant impact on the risk of being readmitted within 14 days (OR = 0.51; P = .24). There were no significant correlations between age, gender, income state index, or Charlson comorbidity index and the risk of readmission within 14 days (OR = 1.02, P = .28; OR = 0.98, P = .98; OR = 0.87, P = .54; OR = 0.55, P = .32, respectively). No significant differences .....
    Document: A generalized linear binary regression model was used for analysis. GB did not have a significant impact on the risk of being readmitted within 14 days (OR = 0.51; P = .24). There were no significant correlations between age, gender, income state index, or Charlson comorbidity index and the risk of readmission within 14 days (OR = 1.02, P = .28; OR = 0.98, P = .98; OR = 0.87, P = .54; OR = 0.55, P = .32, respectively). No significant differences in the risk of readmission within 14 days were noted between regional hospitals and medical centers or between local hospitals and medical centers (OR = 1.63, P = .46; OR = 2.84, P = .18, respectively). Compared with hospitals in Taipei city, there were no significant differences in the risk of being readmitted within 14 days among hospitals in northern Taiwan, central Taiwan, southern Taiwan, Kaoshiung city, or eastern Taiwan (OR = 0.39, P = .30; OR = 0.35, P = .20; OR = 2.98EÀ08, P = .99; OR = 1.31, P = .70; OR = 0.50, P = .55, respectively) ( Table 6 ).

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