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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)