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

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

Variables	Urban		Rural
Variables	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

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

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