From: Having a family doctor was associated with lower utilization of hospital-based health services
Independent variables | Odds ratio | 95% CI | P-value |
---|---|---|---|
Age | 0.987 | ( 0.978 - 0.997 ) | 0.010 |
Sex (male) | 1.204 | ( 0.974 - 1.488 ) | 0.087 |
Marital status (single/ divorced/ widower) | Â | Â | 0.044 |
– Married | 1.333 | ( 1.047 - 1.697 ) | 0.019 |
– Refuse to answer | 0.741 | ( 0.239 - 2.300 ) | 0.604 |
Educational level (nil/ primary) | Â | Â | 0.092 |
– Secondary | 1.319 | ( 1.008 - 1.725 ) | 0.043 |
– Tertiary | 1.082 | ( 0.774 - 1.512 ) | 0.645 |
– Refuse to answer | 0.765 | ( 0.245 - 2.391 ) | 0.645 |
Household monthly income (< $5,000) | Â | Â | <0.001 |
– $5,000 - $9,999 | 0.868 | ( 0.551 - 1.369 ) | 0.543 |
– $10,000 - $19,999 | 1.487 | ( 0.970 - 2.279 ) | 0.069 |
– $20,000 - $29,999 | 2.243 | ( 1.422 - 3.537 ) | <0.001 |
– $30,000 - $39,999 | 2.594 | ( 1.583 - 4.252 ) | <0.001 |
– ≥ $40,000 | 3.384 | ( 2.108 - 5.432 ) | <0.001 |
– Refuse to answer | 2.056 | ( 1.311 - 3.224 ) | 0.002 |
Occupation (blue-collar worker/ service and sales worker) | Â | Â | 0.010 |
– Managerial/ administrative/professional/ employer | 1.362 | ( 0.953 - 1.946 ) | 0.090 |
– White-collar worker | 1.525 | ( 1.116 - 2.084 ) | 0.008 |
– Student | 1.057 | ( 0.713 - 1.568 ) | 0.781 |
– Home-maker | 1.142 | ( 0.825 - 1.581 ) | 0.423 |
– Retired/ unemployed | 0.746 | ( 0.518 - 1.074 ) | 0.115 |
– Others | 0.961 | ( 0.446 - 2.074 ) | 0.920 |
Chronic disease (yes) | 0.738 | ( 0.573 - 0.950 ) | 0.018 |
Long term medication (yes) | 0.559 | ( 0.415 - 0.753 ) | <0.001 |
General Health Condition (poor) | Â | Â | 0.467 |
– Excellent | 1.333 | ( 0.727 - 2.444 ) | 0.353 |
– Very good | 1.572 | ( 0.966 - 2.557 ) | 0.069 |
– Good | 1.381 | ( 0.865 - 2.206 ) | 0.177 |
– Fair | 1.358 | ( 0.874 - 2.110 ) | 0.173 |
Smoking (yes) | 1.206 | ( 0.938 - 1.551 ) | 0.144 |
Drinking (yes) | 1.139 | ( 0.932 - 1.393 ) | 0.203 |
Regular exercise (no/ don’t know) | 1.372 | ( 1.131 - 1.665 ) | 0.001 |