Table 4.
The GLM analysis results of length of stay for rural population (n = 1,113,615)
| 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 |
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)
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)
awas the reference group
*p < 0.05; **p < 0.01; ***p < 0.001
Adjusted model adjusts for sex and individual annual net income