Table 2.
Multivariate logistic regression analysis of factors associated with uptake of the government insurance scheme (newly insured and previously insured by other schemes)
| Adjusted odds ratio | (95% CI) | |
|---|---|---|
| Age | ||
| 20–29 | 1.0 | |
| 30–39 | 0.83 | 0.47–1.48 |
| 40–49 | 0.57* | 0.32–1.03 |
| 50–59 | 0.62 | 0.33–1.17 |
| ≥60 | 0.28* | 0.11–0.74 |
| Sex | ||
| Female | 1.0 | |
| Male | 0.69* | 0.51–0.93 |
| Marital status | ||
| Married/cohabiting | 1.0 | |
| Divorced/separated/widowed | 1.60* | 1.03–2.48 |
| Single | 1.35 | 0.97–1.90 |
| Housing | ||
| Formal | 1.0 | |
| Informal | 1.73 | 0.63–4.72 |
| Salary category | ||
| Lower skilled | 1.0 | |
| Skilled | 1.51 | 0.82–2.75 |
| Highly-skilled | 0.48** | 0.28–0.81 |
| Supervisory and Senior Management | 0.39** | 0.22–0.71 |
| Province | ||
| Gauteng | 1.0 | |
| KwaZulu-Natal | 0.69* | 0.46–1.01 |
| North West | 0.58** | 0.40–0.85 |
| Western Cape | 0.76 | 0.52–1.11 |
| Individual on chronic medication | ||
| Yes | 1.0 | |
| No | 0.94 | 0.69–1.27 |
CI, confidence interval.
*
p<0.1
**
p<0.05.