Table 4.
Variable assignment of the potential factors of elderly hospitalization service
| Factors | Variable name | Factor assignment |
|---|---|---|
| Dependent variables | ||
| Hospitalization | Y1 | 1 = Yes, 0 = No(referent) |
| Leaving against medical advice | Y2 | 1 = Yes, 0 = No(referent) |
| Hospital avoidance | Y3 | 1 = Yes, 0 = No(referent) |
| Independent variables | ||
| Per-capita financial level for NCMSa | X1, X2, | Level I(43Yuan)(referent): X1 = 0, X2 = 0, X3 = 0, X4 = 0, X5 = 0 |
| X3, X4, X5 | Level II(66Yuan,2006): X1 = 1, X2 = 0, X3 = 0, X4 = 0, X5 = 0 | |
| Level III(123Yuan, 2008): X1 = 0, X2 = 1, X3 = 0, X4 = 0, X5 = 0 | ||
| Level IV(173Yuan, 2010): X1 = 0, X2 = 0, X3 = 1, X4 = 0, X5 = 0 | ||
| Level V(306Yuan, 2012): X1 = 0, X2 = 0, X3 = 0, X4 = 1, X5 = 0 | ||
| Level VI(370Yuan, 2014): X1 = 0, X2 = 0, X3 = 0, X4 = 0, X5 = 1 | ||
| Sex | X6 | 1 = Male, 0 = Female(referent) |
| Age | X7, X8 | 65 ~ (referent): X7 = 0, X8 = 0 |
| 75~: X7 = 1, X8 = 0 | ||
| 85~: X7 = 0, X8 = 1 | ||
| Occupation | X9 | 1 = No-farmer, 0 = Farmer(referent) |
| Educational level | X10, X11 | Illiterate(referent): X10 = 0, X11 = 0 |
| Elementary school: X10 = 1, X11 = 0 | ||
| Middle school and above: X10 = 0, X11 = 1 | ||
| Marital status | X12 | 1 = Unmarried/divorced/widowed, 0 = Married(referent) |
| Labor force | X13 | 1 = Yes, 0 = No(referent) |
| Chronic disease | X14 | 1 = Yes, 0 = No(referent) |
| Per capita income per yearb | X15, X16, | Group I(referent): X15 = 0, X16 = 0, X17 = 0, X18 = 0 |
| X17, X18 | Group II: X15 = 1, X16 = 0, X17 = 0, X18 = 0 | |
| Group III: X15 = 0, X16 = 1, X17 = 0, X18 = 0 | ||
| Group IV: X15 = 0, X16 = 0, X17 = 1, X18 = 0 | ||
| Group V: X15 = 0, X16 = 0, X17 = 1, X18 = 0 | ||
a When the index of leaving against medical advice analyzed, the referent was 2006
bThe per capita income per year was inflated to the year of 2014 using rural consumer price index and divided into five groups when sorted from low to high (V is the highest)