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. 2014 Oct 31;7:10.3402/gha.v7.25314. doi: 10.3402/gha.v7.25314

Table 6.

Logistic regression of factors associated with inpatient and outpatient service use, adults aged 50+, SAGE Wave 1

Inpatient use N=26,177 Outpatient use N=154
Odds ratio 95% CI Odds ratio 95% CI
Country (Reference: China)
 Ghana 0.5 (0.4,0.6)*** 1.6 (1.4,2.0)***
 India 0.5 (0.4,0.6)*** 4.4 (3.5,5.6)***
 Mexico 0.5 (0.4,0.8)** 0.4 (0.3,0.6)***
 Russian Federation 1.2 (0.4,0.8) 1.1 (0.8,1.5)
 South Africa 0.4 (0.4,0.5)** 1.0 (0.8,1.5)
Sex (Reference: men) 1.0 1.0
 Women 0.8 (0.7,0.9)*** 1.2 (1.1,1.3)***
Age group (Reference: 50–59 years) 1.0 1.0
 60–69 1.1 (1.0,1,3) 1.0 (0.9,1.2)
 70–79 1.5 (1.3,1.7)*** 1.2 (1.0,1.4)*
 80+ 1.2 (0.9,1.6) 1.1 (0.9,1.3)
Residence (Reference: urban) 1.0 1.0
 Rural 1.1 (0.9,1.3) 1.4 (1.1,1.7)**
Wealth quintiles (Reference: highest wealth) 1.0 1.0
 Quintile 4 1.0 (0.8,1.2) 1.0 (0.8,1.2)
 Quintile 3 0.9 (0.8,1.1 0.9 (0.7,1.2)
 Quintile 2 0.8 (0.7,1.0) 0.8 (0.6,1.0)*
 Quintile 1 (lowest wealth) 0.8* 0.7 (0.5,0.8)**
Chronic conditions (Reference: none) 1.0 1.0
 One chronic condition 1.8 (1.5,2.0)*** 1.6 (1.4,1.7)***
 Two or more chronic conditions 2.8 (2.4,3.3)*** 1.9 (1.6,2.3)***

Denominator includes only respondents who received health care the last time it was needed. Inpatient use refers to the previous 3 years. Outpatient use refers to the previous 12 months. Pooled country survey weights applied.

***

p<0.01

**

0.01<p<0.05

*

0.05<p<0.1. Variance Inflation Factor for inpatient model=1.04. Variance inflation factor for outpatient model =1.11. CI=confidence interval.