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Table 4 Significant factors contributing to infrequent visitor status based on the multiple logistic regression analyses stratified by urban/rural area

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

Variables Urban Rural
OR (95% CI) P value OR (95% CI) p value
Lack health insurance, (yes vs. no) 4.750 (1.334, 16.912) 0.027 9.317 (1.768, 49.091) 0.008
Household visit (yes vs. no) 0.341 (0.222, 0.523) <  0.001 0.278 (0.198, 0.391) <  0.001
Telephone follow-up (yes vs. no) 0.604 (0.438, 0.834) 0.004 0.432 (0.303, 0.615) <  0.001
Per capita household income
 > 20,000 yuan   
 5000–20,000 yuan 2.329 (1.638, 3.313) <  0.001 1.215 (1.027, 2.318) <  0.001
 < 5000 yuan 2.639 (1.616, 4.310) <  0.001 1.725 (1.196, 3.299) <  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