From: Explaining socioeconomic inequality in cervical cancer screening uptake in Malawi
Variable | 1 | 2 | 3 | 4 |
---|---|---|---|---|
CI | Elasticity | Contribution | Percentage | |
Working | 0.0698 | 0.0197 | 0.0007 | 0.50 |
Location | 0.6627 | 0.1664 | 0.0566 | 40.14 |
Marital status | 0.0332 | 0.0552 | 0.0009 | 0.67 |
Primary education | −0.0687 | 0.1091 | −0.0038 | −2.73 |
Secondary education | 0.4305 | 0.0821 | 0.0181 | 12.87 |
Postsecondary education | 0.8443 | 0.0242 | 0.0105 | 7.44 |
Christian | 0.019 | 0.0884 | 0.0009 | 0.61 |
Muslim | −0.0778 | −0.0147 | 0.0006 | 0.42 |
Age group: 25–34 | 0.0459 | 0.1177 | 0.0028 | 1.97 |
Age group: 35–44 | 0.0237 | 0.1554 | 0.0019 | 1.34 |
Age group: 45–54 | 0.0217 | 0.1022 | 0.0011 | 0.81 |
Age group: 55+ | −0.0198 | 0.0552 | −0.0006 | −0.40 |
Ever tested for HIV | 0.0047 | 0.4279 | 0.001 | 0.73 |
Northern region | 0.194 | 0.0248 | 0.0025 | 1.75 |
Southern region | −0.074 | −0.0978 | 0.0037 | 2.64 |
 | A | Explained socioeconomic inequality (A) | 0.097 |  |
 | B | Total socioeconomic inequality (B) | 0.141 |  |
 | C | Residual (B-A) | 0.044 |  |