Table 3 Influential factors associated with use of a healthcare service in logistic regression analysis (n = 2,723)

Gender (Ref: Male)

  Female

0.91 (0.72–1.14)

1.05 (0.81–1.25)

1.30 (0.90–1.87)

Age (Ref: ≤ 39)

  40–49

0.78 (0.53–1.12)

1.30 (0.92–1.84)

0.86 (0.48–1.54)

  50–59

1.01 (0.71–1.44)

1.07 (0.77–1.48)

0.78 (0.44–1.39)

  60–69

1.39 (0.94–2.05)

0.68 (0.47–0.97)

1.32 (0.71–2.45)

  ≥ 70

1.50 (0.95–2.35)

0.64 (0.42–0.97)

1.30 (0.62–2.71)

Education completed (Ref: Elementary (≤ 6y))

  Middle High (7-12y)

1.43 (1.07–1.92)

0.61 (0.46–0.81)

1.71 (1.02–2.88)

  University (≥ 12y)

1.28 (0.88–1.85)

0.67 (0.47–0.95)

1.78 (0.93–3.40)

Occupation (Ref: Office workers)

  Self-employed, Employer

0.82 (0.65–1.03)

1.14 (0.92–1.42)

1.14 (0.77–1.67)

  Housewives

0.79 (0.56–1.11)

1.30 (0.95–1.79)

0.84 (0.48–1.48)

  Students

0.96 (0.25–3.68)

1.57 (0.41–5.96)

-

  Unemployed

0.99 (0.74–1.35)

0.97 (0.72–1.29)

1.09 (0.65–1.84)

  Others

1.49 (0.86–2.60)

0.63 (0.37–1.08)

1.31 (0.52–3.28)

Household income (Ref: Quartile 1)

  Quartile 2

1.14 (0.87–1.49)

0.90 (0.70–1.16)

0.94 (0.60–1.46)

  Quartile 3

1.40 (1.02–1.90)

0.79 (0.59–1.05)

0.82 (0.48–1.39)

  Quartile 4

1.92 (1.35–2.72)

0.49 (0.35–0.68)

1.44 (0.82–2.53)

Area of residence (Ref: Urban)

  Rural

0.84 (0.68–1.02)

1.19 (0.98–1.44)

0.97 (0.69–1.37)

Health insurance type (Ref: NHI)

  Medical Aid

1.94 (1.23–3.05)

0.68 (0.44–1.07)

0.26 (0.06–1.09)

No. of chronic diseases ^b (Ref: 0)

  1

1.20 (0.96–1.50)

1.05 (0.85–1.29)

0.52 (0.36–0.76)

  2

1.12 (0.83–1.51)

1.13 (0.85–1.49)

0.51 (0.31–0.85)

  3–5

1.49 (0.98–2.27)

0.98 (0.65–1.48)

0.26 (0.10–0.69)

General health status (Ref: Very Good)

  Good

1.10 (0.76–1.60)

0.79 (0.55–1.11)

1.74 (0.85–3.54)

  Acceptable

1.23 (0.83–1.83)

0.64 (0.44–0.92)

2.44 (1.16–5.10)

  Poor

2.11 (1.34–3.30)

0.34 (0.22–0.53)

3.73 (1.62–8.56)

  Very Poor

3.37 (1.50–7.55)

0.30 (0.14–0.67)

-