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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