| Literature DB >> 34993170 |
Nan Zhang1, Hao Lei2, Li Li3, Tianyi Jin1, Xiyue Liu1, Doudou Miao1, Boni Su4, Zhongming Bu5, Lin Fan3, Peng Xue1, Jingchao Xie1, Yuguo Li6,7.
Abstract
Personal protective behaviors of healthcare workers (HCWs) and dynamic changes in them are known to play a major role in the hospital transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this study, 1,499 HCWs in Chinese hospitals completed an online survey about their knowledge on SARS-CoV-2 transmission and their personal protective behaviors before and after coronavirus disease 2019 (COVID-19) vaccination. Of all the respondents, 89% were vaccinated at the time of the survey and 96% believed that the vaccine was effective or highly effective. Further, 88% of the vaccinated HCWs expressed that they would get revaccinated if the vaccination failed. Compared with HCWs with a lower education level, those with a higher education level had less fear of being infected with SARS-CoV-2 and reported a lower negative impact of the pandemic on how they treated patients. Physicians and nurses were willing to believe that short-range airborne and long-range fomite are possible transmission routes. HCWs with a higher education level had a better knowledge of COVID-19 but worse personal protective behaviors. The fact that HCWs with a longer work experience had worse personal protective behaviors showed that HCWs gradually relax their personal protective behaviors over time. Moreover, vaccination reduced the negative effects of the COVID-19 pandemic on how the HCWs treated patients. Importantly, the survey revealed that after vaccination, HCWs in China did not relax their personal protective behaviors, and it may bring a low potential risk for following waves of variant virus (e.g., delta).Entities:
Keywords: COVID-19; hand hygiene; healthcare worker (HCW); indoor ventilation; mask; personal protective behavior; transmission route; vaccination
Mesh:
Substances:
Year: 2021 PMID: 34993170 PMCID: PMC8724136 DOI: 10.3389/fpubh.2021.777426
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1Spatial distribution of the respondents.
Distribution of vaccination rates among healthcare workers by demographic characteristics.
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| Total, | 1,332 (88.9%) | 167 (11.1%) | - |
| Gender, | - | - | 0.005 |
| Male | 348 (92.8%) | 27 (7.2%) |
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| Female | 984 (87.5%) | 140 (12.5%) |
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| Age, | - | - | <0.001 |
| ≤ 25 years | 207 (92.0%) | 18 (8.0%) |
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| 26–35 years | 545 (84.4%) | 101 (15.6%) |
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| 36–45 years | 355 (92.4%) | 29 (7.6%) |
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| >45 years | 225 (92.2%) | 19 (7.8%) |
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| Province, | 0.016 | ||
| Beijing ( | 194 (91.7%) | 19 (8.3%) | |
| Guangdong ( | 273 (93.5%) | 19 (6.5%) | |
| Hubei ( | 108 (85.0%) | 19 (15.0%) | |
| Anhui ( | 539 (87.6%) | 76 (12.4%) |
Distribution of personal protective behaviors among healthcare workers by demographic characteristics.
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| Total | 12.24 | 2.81 | 2.44 | 3.43 |
| Gender | ||||
| Male | 10.33 | - | - | - |
| Female | 11.36 | - | - | - |
| Age (years) | ||||
| ≤ 25 | 11.74 | - | 3.16 | 3.39 |
| 26–35 | 11.85 | - | 2.38 | 3.37 |
| 36–45 | 13.08 | - | 2.39 | 3.45 |
| >45 | 12.31 | - | 2.00 | 3.55 |
| Education | ||||
| High school or lower | 9.58 | 4.07 | 4.01 | 3.58 |
| University/junior college | 12.87 | 2.76 | 2.36 | 3.43 |
| Master's or higher | 11.23 | 2.19 | 1.73 | 3.31 |
| Annual income (USD) | ||||
| ≤ 7,825 | 11.08 | 3.30 | 2.90 | - |
| 7,826–15,650 | 12.91 | 2.64 | 2.38 | - |
| 15,651–31,300 | 12.87 | 2.73 | 2.11 | - |
| >31,300 | 11.74 | 2.22 | 2.13 | - |
| Occupation | ||||
| Physician | 11.36 | - | 1.95 | - |
| Nurse | 15.33 | - | 2.39 | - |
| Administrative staff | 9.32 | - | 3.11 | - |
| Cleaner | 8.52 | - | 3.29 | - |
| Years of work experience | ||||
| <5 | 10.93 | - | 2.62 | 3.37 |
| 5–10 | 11.94 | - | 2.55 | 3.39 |
| 10–20 | 13.44 | - | 2.47 | 3.46 |
| >20 | 13.05 | - | 1.95 | 3.53 |
| Department, | ||||
| High-risk (400) | - | 3.4 | 3.0 | 1.5 |
| Others (932) | - | 2.6 | 2.2 | 1.6 |
On a scale of 1 to 5 where 1 indicates very little attention and 5 indicates a high level of attention to indoor ventilation.
Because more than 97% of nurses and more than 70% of cleaners and technicians were female, we considered physicians and administrative staff only when analyzing the correlation between gender and personal protective behaviors.
Distribution of healthcare worker's fear of being infected with SARS-CoV-2 and negative impact of the COVID-19 pandemic on how they treated patients, by demographic characteristics.
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| Total | 2.74 | 2.65 |
| Age (years) | ||
| ≤ 25 | - | 2.47 |
| 26–35 | - | 2.69 |
| 36–45 | - | 2.74 |
| >45 | - | 2.62 |
| Education | ||
| High school or lower | 2.67 | 2.43 |
| University/junior college | 2.70 | 2.65 |
| Master's or higher | 2.89 | 2.85 |
| Annual income (USD) | ||
| ≤ 7,825 | 2.60 | - |
| 7,826–15,650 | 2.64 | - |
| 15,651–31,300 | 2.86 | - |
| >31,300 | 3.09 | - |
| Occupation | ||
| Physician | 2.88 | 2.71 |
| Nurse | 2.61 | 2.70 |
| Administrative staff | 3.01 | 2.48 |
| Cleaner | 2.09 | 2.15 |
On a scale of 1 to 5 where 1 means that the respondent is extremely afraid of being infected in the hospital and 5 means that the respondent has no worry during the pandemic.
On a scale of 1 to 5 where 5 means that the pandemic has no negative impact on the respondent's treatment of patients and 1 means that the pandemic has an extremely negative impact on the respondent's treatment of patients.
Figure 2Analysis of COVID-19 prevention and control guidelines at Chinese hospitals. Healthcare worker's satisfaction with the (A) convenience of facilities for hand washing, (B) ventilation of indoor spaces, and (C) specific guidelines on COVID-19 prevention and control in the department.
Figure 3Percentages of healthcare workers who consider different routes to be likely for SARS-CoV-2 transmission.
Distribution of healthcare worker's personal beliefs about COVID-19 by personal and hospital attributes.
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| Total | 1.37 | 88.1% | 60.2% |
| Education | |||
| High school or lower | 1.27 | 94.0% | 49.7% |
| University/junior college | 1.36 | 88.3% | 60.7% |
| Master's or higher | 1.50 | 82.9% | 65.4% |
| Annual income (USD) | |||
| ≤ 7,825 | 1.31 | 90.6% | - |
| 7,826–15,650 | 1.37 | 90.0% | - |
| 15,651–31,300 | 1.40 | 85.5% | - |
| >31,300 | 1.51 | 80.4% | - |
| Occupation | |||
| Physician | - | 84.7% | - |
| Nurse | - | 87.1% | - |
| Administrative staff | - | 93.4% | - |
| Cleaner | - | 100.0% | - |
| Hospital classification | |||
| Grade 3A and higher | 1.44 | - | - |
| Grade 3B and 3C | 1.38 | - | - |
| Grade 2 | 1.38 | - | - |
| Grade 1 and lower | 1.27 | - | - |
| Hospital department | |||
| High-risk | 1.40 | - | - |
| Others | 1.31 | - | - |
On a scale of 1 to 5 where 1 means the respondents believed that the efficacy of the vaccine was very high, while 5 means the respondents believed that the efficacy was negligible.
Personal protective behaviors of healthcare workers before and after vaccination (n = 1,332).
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| Hand washing times per day | 12.2 | 12.5 | 0.008 | |
| Surface cleaning times per day | 2.8 | 2.9 | <0.001 | |
| Air disinfection times per day | 2.4 | 2.6 | <0.001 | |
| Attention to indoor ventilation | 3.43 | 3.60 | <0.001 | |
| Rates of personal protective measures | Surgical masks | - | - | 0.128 |
| N95 respirators | 17.3% | 21.6% | <0.001 | |
| Face shields | 11.4% | 14.6% | <0.001 | |
| Protective clothing | - | - | 0.069 | |
| Goggles | 8.1% | 9.8% | 0.015 | |
| Gloves | - | - | 0.289 | |
| Fear of being infected | 2.74 | 3.04 | <0.001 | |
| Negative impact on treatment | 2.65 | 2.23 | <0.001 | |
On a scale of 1 to 5 where 1 indicates very little attention paid to indoor ventilation and 5 indicates a high level of attention paid to indoor ventilation.
On a scale of 1 to 5 where 1 indicates that the respondent was very afraid of being infected with SARS-CoV-2 and 5 indicates that the respondent had no fear of infection during the pandemic.
On a scale of 1 to 5 where 1 indicates that the pandemic had no negative impact on the respondent's treatment of patients and 5 indicates that the pandemic had an extremely negative impact on the respondent's treatment of patients.