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