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Table 4 The GLM analysis results of length of stay for rural population (n = 1,113,615)

From: Effect of a typical systemic hospital reform on inpatient expenditure for rural population: the Sanming model in China

Variable Length of stay (1) Length of stay (2) Length of stay (3)
Reform (after vs. beforea) −0.67*** (0.03) −0.73*** (0.04) − 0.73 (0.44)
Age (≥65 years vs. < 65 yearsa) 0.62*** (0.02) 0.95*** (0.02) 0.95*** (0.15)
Level of Hospital (tertiary vs. secondary/primarya) 2.36*** (0.02) n/a n/a
Hospital region (in other region vs. in Sanminga) 1.66*** (0.04) n/a n/a
Chronic diseases (yes vs. noa) 1.59*** (0.03) 1.64*** (0.03) 1.64*** (0.22)
Official reimbursement rate 4.62*** (0.08) 4.42*** (0.08) 4.42** (1.66)
Ceiling of annual compensation per patient (¥104 vs. < ¥104 a) −0.49*** (0.03) −0.84*** (0.04) --0.84** (0.30)
Intercept −1.60*** (0.08) 7.03*** (0.24) 7.03*** (0.90)
Yearly fixed effects NO YES YES
Hospitals fixed effects NO YES YES
R-Square 0.034 0.208 0.208
Prob>F < 0.001 < 0.001 < 0.001
Clustered s.e. NO NO YES
  1. The results without year and hospital fixed effects are reported in column (1); the results with year and hospital fixed effects are reported in columns (2) and (3)
  2. Robust standard errors are reported in parentheses in columns (1) and (2); standard errors clustered at the hospital level are reported in parentheses in column (3)
  3. awas the reference group
  4. *p < 0.05; **p < 0.01; ***p < 0.001
  5. Adjusted model adjusts for sex and individual annual net income