Table 3.
Predictors of health care use among 5,056 adults aged 50+ who used health care less than one year before the survey in Agincourt sub-district in 2010
| Health care use (N =5,056) | ||
|---|---|---|
|
|
||
| Variables | Univariate binary logistic regression model OR (80% CI) | Multivariate binary logistic regression model OR (95% CI) |
| Age (years) | ||
| 50–59 | 1 | Not included in the final model |
| 60–69 | 1.05 (0.81, 1.35) | |
| ≥70 | 0.90 (0.71, 1.13) | |
| Gender | ||
| Male | 1 | 1 |
| Female | 1.27 (1.02, 1.57) | 1.34 (0.96, 1.89) |
| Education (in completed years) | ||
| No formal education | 1 | 1 |
| ≤6 | 0.87 (0.70, 1.08) | 0.85 (0.59, 1.21) |
| >6 | 2.49 (1.63, 3.81) | 2.49 (1.27, 4.86) |
| Nationality of origin | ||
| Mozambican | 1 | 1 |
| South African | 1.26 (1.03, 1.55) | 1.07 (0.76, 1.49) |
| Occupation | ||
| Presently working for cash payment | 1 | Not included in the final model |
| Not presently working for cash payment | 1.09 (0.82, 1.44) | |
| Socio-economic status | ||
| Lowest | 1 | Not included in the final model |
| Middle low | 0.84 (0.11, 1.17) | |
| Middle | 0.79 (0.58, 1.09) | |
| Middle high | 1.12 (0.79, 1.59) | |
| Highest | 1.11 (0.79, 1.55) | |
| Looking for a paid job | ||
| No | 1 | 1 |
| Yes | 0.70 (0.49, 0.99) | 0.75 (0.44, 1.28) |
| Type of grant | ||
| None | 1 | |
| Old age | 1.07 (0.87, 1.31) | Not included in the final model |
| Disability | 1.63 (0.84, 3.18) | |
| Health problems | ||
| Acute conditionsa | 1 | 1 |
| Chronic communicable diseaseb | 5.51 (2.19, 13.87) | 5.91 (1.44, 24.32) |
| Non-communicable diseasesc | 2.95 (2.32, 3.76) | 2.85 (1.96, 4.14) |
| Injuries | 2.97 (1.39, 6.37) | 3.13 (0.97, 10.08) |
| Other | 1.83 (1.44, 2.33) | 1.83 (1.27, 2.66) |
a
Fever and flu.
b
HIV and TB.
c
Hypertension, diabetes, stroke, sleep disorder, chronic pain in joints, depression, anxiety, cancer, and heart problems.