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Table 1 Children's Characteristics and Health Insurance Status

From: Health insurance of rural/township schoolchildren in Pinggu, Beijing: coverage rate, determinants, disparities, and sustainability

Variable

Total1

% (N)

Insurance Rate2

p-value3

  

% (n)

95% CI

 

Sample children

100 (494)

54.0 (249)

49.5 – 58.5

 

Child's age (years)

   

0.495

   5–8

35.6 (170)

51.9 (81)

44.1 – 59.8

 

   9–12

64.4 (308)

55.8 (164)

50.1 – 61.5

 

Child's gender

   

0.792

   Male

45.0 (213)

55.6 (110)

48.6 – 62.5

 

   Female

55.0 (260)

53.8 (133)

47.6 – 60.1

 

Number of children in household

   

0.012

   One

66.0 (319)

58.0 (178)

52.5 – 63.5

 

   Two

27.1 (131)

50.8 (61)

41.9 – 59.8

 

   Three or more

6.9 (33)

29.6 (8)

12.4 – 46.9

 

Parental rating of child's health

   

0.142

   Average or below

11.4 (55)

44.0 (21)

30.2 – 57.8

 

   Very good

47.2 (227)

52.4 (110)

45.6 – 59.1

 

   Excellent

41.4 (199)

58.6 (112)

51.7 – 65.6

 

Annual per capita income (yuan)

   

0.118

   1st quartile (< 1,667)

29.3 (137)

50.0 (62)

41.2 – 58.8

 

   2nd quartile (1,667 – 3,125)

24.1 (113)

48.6 (51)

39.0 – 58.1

 

   3rd quartile (3,126 – 6,667)

21.6 (101)

55.8 (53)

45.8 – 65.8

 

   4th quartile (> 6,667)

25.0 (117)

62.9 (73)

54.1 – 71.7

 

Highest education of household head

   

0.002

   Completed primary school or below

6.0 (29)

33.3 (7)

13.2 – 53.5

 

   Completed middle school

33.3 (162)

44.5 (69)

36.7 – 52.3

 

   Completed high school

25.3 (123)

58.6 (68)

49.7 – 67.6

 

   Post-secondary

35.4 (172)

63.3 (105)

55.9 – 70.6

 

Parental insurance status

   

<0.001

   At least one insured

53.1 (246)

74.4 (177)

68.8 – 79.9

 

   None insured

46.9 (217)

33.3 (68)

26.9 – 39.8

 

(1 st :2 nd ) Parental Occupation

   

0.044

   Both gov./state employees

20.4 (96)

61.3 (57)

51.4 – 71.2

 

   Self-empl./private:self/priv/gov/state

27.6 (131)

45.5 (56)

36.7 – 54.3

 

   One or both farmer

41.0 (195)

58.0 (105)

50.8 – 65.2

 

   Non-farmer, unemployed

11.0 (53)

46.9 (23)

33.0 – 60.9

 
  1. 1. Sample distribution (percentage) irrespective of insurance information
  2. 2. Missing data excluded
  3. 3. Association with insurance status was tested using Chi-squared statistic