Skip to main content

Table 2 Incidence and extent of OOP payments according to type and levels of healthcare services

From: Out-of-pocket healthcare payments on chronic conditions impoverish urban poor in Bangalore, India

Income per capita

Incidence of OOP payments (Ailment as unit)* (95%CI)

Median share of household income spent as OOP (%)

Government** (n=742)

Private** (n=3040)

Government

Private

 

Clinics/ Health centres (n=186)

Referral hospital (n=171)

Super-specialty hospital (n=385)

Clinics/ Health centres (n=1435)

Referral hospital (n=1295)

Super-specialty hospital (n=310)

  

1st quintile

56.9 (44.6, 69.3)

72.4 (55.1, 89.7)

77.8 (70.1, 85.4)

68.8 (63.2, 74.5)

69.2 (62.5, 76.0)

75.0 (64.4, 85.6)

4.0

5.9

2nd quintile

54.5 (39.2, 69.9)

78.9 (58.8, 99.1)

79.4 (69.6, 89.3)

61.5 (56.2, 66.9)

72.3 (66.3, 78.2)

78.6 (65.6, 91.5)

2.5

3.9

3rd quintile

60.7 (41.4, 80.0)

62.2 (45.8, 78.6)

81.3 (72.5, 90.0)

68.8 (63.6, 74.1)

66.5 (60.5, 72.6)

62.7 (50.0, 75.4)

2.4

2.9

4th quintile

81.8 (64.3, 99.3)

75.9 (59.3, 92.4)

86.4 (75.8, 96.9)

70.4 (64.2, 76.5)

70.3 (64.5, 76.1)

72.7 (60.6, 84.9)

2.0

3.1

5th quintile

76.6 (56.3, 96.1)

50.0 (36.2, 63.8)

79.9 (69.1, 90.2)

71.8 (66.6, 77.0)

73.8 (69.3, 78.2)

69.2 (58.8, 79.7)

1.3

2.4

  1. *We used ailment as a unit of analysis instead of households. This is because individuals from a single household might seek care from different type (and levels) of health services making it impossible to do segregated analysis as presented in this table. **Number of ailments treated in government and private sector does not add up to the total (i.e. 3902) because, in 120 ailment instances, individuals either used self-medication or did not seek care.