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Table 4 The odds ratio and 95 % CI from multivariate logistic regression models for the utilization of physician visit and hospitalization

From: The impact of predisposing, enabling, and need factors in utilization of health services among rural residents in Guangxi, China

Characteristics Physician visit Hospitalization
OR (95 % CI) P value OR (95 % CI) P value
Predisposing factors
 Age (year) 1.00 (0.99–1.00) 0.280 1.02(1.01–1.03) < 0.001
 Gender 1.20(1.01–1.43) 0.040 1.40(1.08–1.81) 0.010
 Marital status
  Single a     < 0.001
  Married 1.50 (1.22–1.85) < 0.001 5.30 (3.28–8.55)
  Separated/Divorced/Widowed 0.99 (0.70–1.54) 0.970 7.06 (3.26–15.26) < 0.001
 Ethnicity 1.03 (0.51–1.21) 0.270 1.59 (0.63–4.06) 0.330
 Family size (people) 0.92 (0.88–0.96) <0.001 0.94 (0.84–1.06) 0.940
Enabling factors
 Educational level 0.58 (0.52–0.64) < 0.001 0.75 (0.65–0.86) < 0.001
 Time to nearest health facility (min) 0.90 (0.81–0.92) < 0.001 0.98 (0.995–1.019) 0.240
 Expenditure on healthcare (RMB) 1.00(0.991–1.001) 0.610 1.01(1.002–1.099) < 0.001
 Expenditure of NCMS (RMB) 1.00(0.998–1.004) 0.450 1.00(0.999–1.006) 0.190
Need factors
 Chronic diseases 5.87 (4.71–7.32) < 0.001 4.04 (2.90–5.61) < 0.001
  Yes
  No
  1. a reference group