Ordered logistic regression of potential determinants of follow-up score*
| Simple model | Multiple model† | |||
|---|---|---|---|---|
| Variable | OR (95% CI) | p Value | OR (95% CI) | p Value |
| Patient level | ||||
| Age, per year | 1.00 (0.99 to 1.02) | 0.81 | 1.00 (0.98 to 1.02) | 0.96 |
| Female | 1.19 (0.73 to 1.94) | 0.49 | 1.33 (0.75 to 2.34) | 0.33 |
| Working in agriculture | 0.85 (0.53 to 1.38) | 0.52 | ||
| No schooling or elementary school | 0.17 (0.09 to 0.30) | <0.001 | 0.37 (0.20 to 0.70) | 0.002 |
| Married | 1.28 (0.72 to 2.28) | 0.40 | ||
| Family annual income, US$ | ||||
| <806.5 | 0.17 (0.06 to 0.49) | 0.001 | 0.28 (0.11 to 0.72) | 0.008 |
| 806.5–1612.9 | 0.33 (0.13 to 0.84) | 0.02 | 0.63 (0.30 to 1.34) | 0.23 |
| 1612.9–8064.5 | 0.34 (0.13 to 0.90) | 0.03 | 0.38 (0.17 to 0.84) | 0.02 |
| >8064.5 | Reference | Reference | ||
| Importance of follow-up after surgery‡ | 0.31 (0.22 to 0.46) | <0.001 | 0.62 (0.41 to 0.94) | 0.02 |
| Glaucoma can lead to blindness‡ | 0.93 (0.67 to 1.28) | 0.64 | ||
| Glaucoma-induced blindness can be cured‡ | 1.39 (1.00 to 1.92) | 0.05 | ||
| Knows glaucoma can be treated surgically | 0.80 (0.49 to 1.30) | 0.37 | ||
| Knows glaucoma can be diagnosed in early phase | 1.34 (0.56 to 3.21) | 0.51 | ||
| Rural (village/town) vs urban residence | 1.46 (0.76 to 2.78) | 0.26 | ||
| Lives ≥10 km from hospital | 0.95 (0.58 to 1.54) | 0.83 | ||
| Lives ≥1 h from hospital | 0.57 (0.33 to 0.99) | 0.045 | 0.82 (0.41 to 1.64) | 0.57 |
| Public transit vs other ways | 0.91 (0.55 to 1.50) | 0.72 | ||
| Convenience of transportation‡ | 0.97 (0.76 to 1.24) | 0.80 | ||
| Transportation fees >US$8 | 1.09 (0.63 to 1.89) | 0.75 | ||
| Has no accompanying friend or family member | 0.08 (0.05 to 0.14) | <0.001 | 0.14 (0.07 to 0.29) | <0.001 |
| Preoperative presenting visual acuity, Log MAR | 1.27 (0.87 to 1.87) | 0.21 | ||
| Preoperative intraocular pressure, mm Hg | 1.01 (0.99 to 1.04) | 0.39 | ||
| Preoperative cup:disc ratio | 1.13 (0.01 to 99.2) | 0.96 | ||
| No need for suture removal | 0.05 (0.03 to 0.10) | <0.001 | 0.11 (0.06 to 0.22) | <0.001 |
| Province (Guangxi as reference) | 1.10 (0.68 to 1.78) | 0.70 | 0.56 (0.30 to 1.06) | 0.07 |
| Physician level | ||||
| Age, year | 0.98 (0.92 to 1.04) | 0.46 | ||
| Female | 0.83 (0.50 to 1.40) | 0.50 | ||
| Attending doctor vs resident doctor | 0.48 (0.22 to 1.07) | 0.07 | ||
| >10 years working in ophthalmology | 0.79 (0.40 to 1.57) | 0.50 | ||
| Annual volume of glaucoma surgery | ||||
| ≤20 | Reference | |||
| 21–40 | 0.67 (0.35 to 1.28) | 0.23 | ||
| >40 | 0.75 (0.43 to 1.28) | 0.29 | ||
| Perceived compliance with follow-up after surgery among patients‡ | 1.27 (0.75 to 2.15) | 0.37 | ||
Items significant at the p<0.05 level are highlighted in bold.
*Follow-up score is the sum of scores assigned for patients followed up at 1 week: 1–11 days (10 points), 2 week: 12–21 days (7 points) and 1 month: 22–42 days (5 points).
†Age, gender and all other variables with p<0.05 in the simple regression were included in the multiple regression.
‡The variable was defined on a five-stage Likert scale and treated as continuous.
Log MAR, log of the minimum angle of resolution.