|
Full regression analysis for predicting the influence of physician and nurse density and other socioeconomic variables on IMR, U5MR, MMR and LE at a global level |
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| IMR |
U5MR |
MMR |
LE |
|
|
|
||||
| Physician density |
-0.140* |
-0.248** |
-0.389** |
0.103** |
| Nurse density |
0.011 |
0.091 |
-0.207* |
-0.060** |
| Female literacy |
-0.219 |
-0.331 |
-0.212 |
0.048 |
| Health expenditure as % of GDP |
-0.183 |
-0.031 |
-0.215 |
-0.030 |
| Per capita gross national income (US$) |
-0.405** |
-0.515** |
-0.368** |
0.048** |
| R2 |
0.703** |
0.784** |
0.735** |
0.709** |
| N |
123 |
123 |
120 |
123 |
|
* p-value < 0.05 ** p-value < 0.01 | ||||
El-Jardali et al. Human Resources for Health 2007 5:9 doi:10.1186/1478-4491-5-9 |
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