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Table 4 Variable assignment of the potential factors of elderly hospitalization service

From: Elderly hospitalization and the New-type Rural Cooperative Medical Scheme (NCMS) in China: multi-stage cross-sectional surveys of Jiangxi province

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

  1. a When the index of leaving against medical advice analyzed, the referent was 2006
  2. 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)