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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