Table 2

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

*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.

Bhojani et al.

Bhojani et al. BMC Public Health 2012 12:990   doi:10.1186/1471-2458-12-990

Open Data