Table 2 Univariable and multivariable logistic regression analysis showing the factors associated with switching to medical insurance ART
Variable | Univariable logistic regression | Multivariable logistic regression | ||
|---|---|---|---|---|
OR (95% CI) | P | aOR (95% CI) | P | |
Occupation | ||||
鈥僓苍别尘辫濒辞测别诲/搁别迟颈谤别诲 | 1.00 | 1.00 | ||
鈥僃arming/Working outside the home | 0.85 (0.49鈥�1.48) | 0.566 | 0.93 (0.52鈥�1.67) | 0.816 |
鈥働rivate/Foreign enterprise employees | 2.63 (1.65鈥�4.20) | &濒迟;鈥�0.001 | 1.16 (0.67鈥�1.99) | 0.605 |
鈥僄overnment agency/Public institution/State-owned enterprise employees | 6.17 (3.68鈥�10.33) | &濒迟;鈥�0.001 | 2.34 (1.29鈥�4.26) | 0.005 |
鈥僌迟丑别谤蝉 | 1.41 (0.69鈥�2.88) | 0.345 | 1.28 (0.59鈥�2.79) | 0.533 |
Type of basic medical insurance | ||||
鈥傿asic medical insurance for urban and rural residents | 1.00 | 1.00 | ||
鈥傿asic medical insurance for urban employed | 3.91 (2.80鈥�5.47) | &濒迟;鈥�0.001 | 1.93 (1.28鈥�2.90) | 0.002 |
鈥僌迟丑别谤蝉* | 0.18 (0.06鈥�0.60) | 0.005 | 0.15 (0.04鈥�0.48) | 0.002 |
Average annual income of family members, USD | ||||
鈥冣墹鈥�6,985 | 1.00 | 1.00 | ||
鈥�6,986鈥�鈭�鈥�13,971 | 2.33 (1.64鈥�3.31) | &濒迟;鈥�0.001 | 1.01 (0.65鈥�1.55) | 0.981 |
鈥冣墺鈥�13,972 | 7.10 (4.87鈥�10.36) | &濒迟;鈥�0.001 | 2.12 (1.27鈥�3.54) | 0.004 |
Personal annual income, USD | ||||
鈥冣墹鈥�6,985 | 1.00 | 1.00 | ||
鈥�6,986鈥�鈭�鈥�13,971 | 2.10 (1.44鈥�3.06) | &濒迟;鈥�0.001 | 1.43 (0.92鈥�2.22) | 0.115 |
鈥冣墺鈥�13,972 | 6.65 (4.65鈥�9.51) | &濒迟;鈥�0.001 | 2.39 (1.43-4.00) | &濒迟;鈥�0.001 |
Year of initiating ART | ||||
鈥�2018鈥�鈭�鈥�2022 | 1.00 | 1.00 | ||
鈥�2013鈥�鈭�鈥�2017 | 1.07 (0.79鈥�1.44) | 0.671 | 0.72 (0.51鈥�1.01) | 0.054 |
鈥�鈭�鈥�2012 | 1.85 (1.19鈥�2.87) | 0.006 | 1.67 (1.02鈥�2.75) | 0.043 |
Level of ART hospital | ||||
鈥僀ounty hospitals or below | 1.00 | 1.00 | ||
鈥僊unicipal hospitals | 1.11 (0.76鈥�1.60) | 0.592 | 1.09 (0.73鈥�1.63) | 0.667 |
鈥働rovincial hospitals | 3.24 (2.24鈥�4.70) | &濒迟;鈥�0.001 | 2.00 (1.30鈥�3.09) | 0.002 |