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Table 3 Significant factors contributing to infrequent visitor status based on the multiple logistic regression analyses

From: Analysis of factors influencing the frequency of primary care visits among diabetic patients in two provinces in China

Variables

OR (95% CI)

P value

Urban vs. rural

1.696 (1.293, 2.224)

<  0.001

Lack health insurance, (yes vs. no)

6.854 (1.992, 23.578)

0.002

Household visit (yes vs. no)

0.313 (0.241, 0.407)

<  0.001

Telephone follow-up (yes vs. no)

0.507 (0.400, 0.643)

<  0.001

Per capita household income

 > 20,000 yuan

 

 5000–20,000 yuan

2.008 (1.487, 2.712)

<  0.001

 < 5000 yuan

2.621 (1.859,3.696)

<  0.001

  1. OR Odds ratio, CI confidence interval
  2. The backward stepwise method was used, which was adjusted for age, gender, educational level, history of hypertension, myocardial infarction, stent, CABG, and stroke