Table 2.
Percentage of healthcare workers who received influenza vaccination- Internet panel survey, China, 2018–19 season.
| Characteristic | Category | N | Vaccinated | Coverage (%) | p | PR (95% CI) d |
|---|---|---|---|---|---|---|
| Occupation | Physicians | 3316 | 398 | 12.0 | 0.305 | Ref |
| Nurses | 540 | 54 | 10.0 | 0.8 5 (0.62–1.14) | ||
| Other clinical professionals a | 178 | 15 | 8.4 | 0.81 (0.46–1.30) | ||
| Administrative/nonclinical support staff | 44 | 5 | 11.4 | 0.84 (0.28–1.85) | ||
| Job title | Junior | 1158 | 107 | 9.2 | 0.013 | Ref |
| Middle | 1711 | 217 | 12.7 | 1.29 (0.98–1.71) | ||
| Senior | 1209 | 148 | 12.2 | 1.17 (0.84–1.61) | ||
| Age in years | <30 | 578 | 53 | 9.2 | 0.140 | Ref |
| 30–44 | 2632 | 318 | 12.1 | 0.79 (0.53–1.17) | ||
| ≥45 | 868 | 101 | 11.6 | 0.66 (0.40–1.01) | ||
| Years of working | <3 | 174 | 10 | 5.8 | 0.014 | Ref |
| ≥3 | 3904 | 462 | 11.8 | 2.09 (1.11–4.03) | ||
| Hospital level | Unclassified | 174 | 18 | 10.3 | 0.032 | Ref |
| Primary | 536 | 81 | 15.1 | 1.50 (0.92–2.43) | ||
| Secondary | 1188 | 122 | 10.3 | 1.01 (0.62–1.66) | ||
| Tertiary | 2180 | 251 | 11.5 | 0.97 (0.60–1.60) | ||
| Working department | Others | 3155 | 322 | 10.2 | <0.001 | Ref |
| “High risk department” b | 923 | 150 | 16.3 | 1.59 (1.30–1.92) | ||
| GDP per capita c | Low | 734 | 76 | 10.4 | 0.049 | Ref |
| Middle | 1193 | 122 | 10.2 | 0.91 (0.68–1.21) | ||
| High | 2151 | 274 | 12.7 | 1.00 (0.77–1.29) | ||
| Hospital’s intervention approach | None | 2412 | 147 | 6.1 | <0.001 | Ref |
| Promotion | 1445 | 242 | 16.8 | 1.75 (1.43–2.14) | ||
| Requirement | 221 | 83 | 37.6 | 3.21 (2.48–4.04) | ||
| Hospital providing free vaccine | No | 3304 | 222 | 6.7 | <0.001 | Ref |
| Yes | 774 | 250 | 32.3 | 3.67 (3.07–4.35) |
a Other clinical professionals include: Radiologist, pharmacist, and medical technician. b “More risky departments” include respiration, infectious diseases, emergency, pediatrics, gynecology and obstetrics and geriatrics, according to our definition in the method part. c The 31 provinces of mainland China were divided into 3 categories according to GDP per capita. “High” for Beijing, Shanghai, Tianjin, Jiangsu, Zhejiang, Fujian, Guangdong, Shandong, Inner Mongolia and Chongqing; “Middle” for Hubei, Shaanxi, Jilin, Liaoning, Ningxia, Hunan, Hainan, Hebei, Henan, Jiangxi and Xinjiang; “Low” for Sichuan, Qinghai, Anhui, Heilongjiang, Guangxi, Shanxi, Xizang, Guizhou, Yunnan and Gansu. d Variables included in the multivariable logistic regression include: occupation, job title, age, years of working, hospital level, working department, GDP per capita, hospital’s intervention approach, and hospital providing free vaccine.