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Table 5 Logistic regression analysis of predictors of PHC preference using balanced longitudinal data

From: The trend in primary health care preference in China: a cohort study of 12,508 residents from 2012 to 2018

Variables

Model 1: Univariate analysis

Model 2: Multivariate analysis

OR

95%CI

OR

95%CI

Predisposing factors

 Gender (Reference = Female)

  Male

1.009

(0.972, 1.048)

  

 Age (Reference = 16 ~ 25)

  26 ~ 35

0.775***

(0.676, 0.888)

1.050

(0.903, 1.221)

  36 ~ 45

0.784***

(0.687, 0.895)

1.032

(0.891, 1.196)

  46 ~ 55

0.785***

(0.689, 0.894)

1.115

(0.963, 1.290)

  56 ~ 65

0.744***

(0.652, 0.848)

1.286***

(1.108, 1.491)

   ≥ 66

0.603***

(0.527, 0.690)

1.398***

(1.198, 1.632)

 Education (Reference = Junior high school and below)

  High school or secondary

0.478***

(0.452, 0.505)

0.837***

(0.784, 0.895)

  University or college and above

0.172***

(0.159, 0.186)

0.530***

(0.480, 0.585)

 Ethnicity (Reference = Han)

  Minority

1.193***

(1.102, 1.291)

0.840***

(0.768, 0.918)

 Marital status (Reference = Unmarried)

  Married

1.122***

(1.050, 1.199)

0.917**

(0.848, 0.991)

 Household size (Reference = 1 ~ 2 person)

  3–4 person

1.253***

(1.190, 1.319)

1.270***

(1.191, 1.355)

   ≥ 5 person

1.850***

(1.756, 1.949)

1.559***

(1.460, 1.665)

Enabling factors

 Household income (Reference = < 30 thousand)

  30 ~ 50 thousand

0.731***

(0.693, 0.771)

0.881***

(0.830, 0.936)

  50 ~ 70 thousand

0.562***

(0.529, 0.597)

0.797***

(0.742, 0.855)

  70 ~ 90 thousand

0.481***

(0.447, 0.517)

0.770***

(0.706, 0.838)

   ≥ 90 thousand

0.392***

(0.371, 0.413)

0.653***

(0.611, 0.698)

 Employment status (Reverence = Not currently working)

  Currently working

1.728***

(1.657, 1.803)

1.317***

(1.249, 1.390)

 Hukou (Reference = Agricultural)

  Non-agricultural

0.196***

(0.188, 0.205)

0.676***

(0.622, 0.734)

 Social basic medical insurance status (Reference = UEBMI)

  URBMI

1.431***

(1.313, 1.560)

1.344***

(1.226, 1.472)

  NCMS

6.609***

(6.245, 6.994)

2.864***

(2.613, 3.140)

  FMS

0.955

(0.837, 1.091)

0.976

(0.848, 1.122)

 Geographic region (Reference = East)

  Central

1.171***

(1.119, 1.225)

1.043

(0.991, 1.098)

  West

1.556***

(1.483, 1.632)

1.090***

(1.031, 1.152)

 Living area (Reference = Rural)

  Urban

0.332***

(0.319, 0.345)

0.675***

(0.643, 0.710)

Needs-based factors

 Health status (Reference = Good)

  Fair

0.880**

(0.836, 0.926)

0.907***

(0.856, 0.962)

  Poor

0.658***

(0.627, 0.691)

0.641***

(0.603, 0.681)

 Chronic disease (Reference = No)

  Yes

0.501***

(0.479, 0.525)

0.657***

(0.621, 0.695)

 Hospitalization (Reference = No)

  Yes

0.383***

(0.362, 0.404)

0.429***

(0.403, 0.457)

Time factors

 Year (Reference = 2012)

  2014

0.840***

(0.795, 0.888)

0.814***

(0.764, 0.867)

  2016

0.720***

(0.682, 0.761)

0.700***

(0.657, 0.745)

  2018

0.635***

(0.602, 0.671)

0.651***

(0.611, 0.694)

  Constant

  

1.572***

(1.306, 1.892)

Pseudo R2

  

0.156

 
  1. Model 2 includes all significant variables through backward stepwise logistic analysis. The number of observations in Model 1 and Model 2 was 12,058, with each had 4 respondents during the four waves of survey, and the total respondents were N = 12,058 × 4 = 48,232
  2. OR refers to odds ratios; 95% CI refers to 95% confidence intervals
  3. The results of Model 2 were statistically significant, χ2 =9475.77, p < 0.001
  4. ***p < 0.01, **p < 0.05, *p < 0.10
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BMC Health Services Research

ISSN: 1472-6963

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