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Table 2 Factors associated with a regular primary care doctor by logistic regression

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)    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)    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)    <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)    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)    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
  1. Notes: Variable in brackets is the reference category for independent variables.
  2. Logistic regression (enter): Odds ratio <1 (less likely than the reference category), Odds ratio >1 (more likely than the reference category).