A Text Mining-Based Survey of Pre-Impressions of Medical Staff toward COVID-19 Vaccination in a Designated Medical Institution for Class II Infectious Diseases
Abstract
:1. Introduction
2. Materials and Methods
2.1. Subjects
2.2. Clinical Parameters
2.3. Questionnaire
2.4. Statistical Analysis
2.5. Ethics
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Total | The First Survey | The Second Survey | ||||
---|---|---|---|---|---|---|
Number of Subjects | % | Number of Subjects | % | Number of Subjects | % | |
Age | ||||||
20–29 | 91 | 23.5 | 67 | 22.6 | 50 | 21.4 |
30–39 | 83 | 21.4 | 61 | 20.6 | 49 | 20.9 |
40–49 | 120 | 31.0 | 94 | 31.8 | 77 | 32.9 |
50–59 | 61 | 15.8 | 50 | 16.9 | 38 | 16.2 |
60– | 32 | 8.3 | 24 | 8.1 | 20 | 8.5 |
Sex | ||||||
Men | 100 | 25.8 | 71 | 24 | 64 | 27.4 |
Women | 287 | 74.2 | 225 | 76 | 170 | 72.6 |
Job title | ||||||
Medical doctor | 51 | 13.2 | 39 | 13.2 | 34 | 14.5 |
Nurse | 197 | 50.9 | 158 | 53.4 | 121 | 51.7 |
Other medical staff | 48 | 12.4 | 38 | 12.9 | 36 | 15.4 |
Administrative staff | 91 | 23.5 | 61 | 20.6 | 43 | 18.4 |
The First Survey | The Second Survey | |||
---|---|---|---|---|
Vaccination Rate (%) | p | Vaccination Rate (%) | p | |
Age | ||||
20–29 | 83.6 | 0.013 | 90.0 | 0.176 |
30–39 | 91.8 | 93.9 | ||
40–49 | 94.7 | 96.1 | ||
50–59 | 98.0 | 100.0 | ||
60– | 100.0 | 100.0 | ||
Sex | ||||
Men | 95.8 | 0.237 | 100.0 | 0.037 |
Women | 91.6 | 93.5 | ||
Job title | ||||
Medical doctor | 92.3 | 0.688 | 97.0 | 0.838 |
Nurse | 91.8 | 94.2 | ||
Other medical staff | 97.4 | 97.2 | ||
Administrative staff | 91.8 | 95.3 |
The First Survey | The Second Survey | |||
---|---|---|---|---|
Word | Word Count | Word | Word Count | |
1st | Side Effects | 148 | Vaccination | 147 |
2nd | Vaccination | 74 | Anxiety | 63 |
3rd | Vaccine | 63 | Side effects | 59 |
4th | Worry | 49 | Reaction | 59 |
5th | Anxiety | 46 | Vaccine | 49 |
6th | Reaction | 41 | Pain | 47 |
7th | Effectiveness | 22 | Muscle | 39 |
8th | Allergy | 16 | Worry | 22 |
9th | Feeling | 14 | Ingestion | 20 |
10th | Hope | 11 | Feeling | 16 |
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Mori, Y.; Miyatake, N.; Suzuki, H.; Okada, S.; Tanimoto, K. A Text Mining-Based Survey of Pre-Impressions of Medical Staff toward COVID-19 Vaccination in a Designated Medical Institution for Class II Infectious Diseases. Vaccines 2021, 9, 1282. https://doi.org/10.3390/vaccines9111282
Mori Y, Miyatake N, Suzuki H, Okada S, Tanimoto K. A Text Mining-Based Survey of Pre-Impressions of Medical Staff toward COVID-19 Vaccination in a Designated Medical Institution for Class II Infectious Diseases. Vaccines. 2021; 9(11):1282. https://doi.org/10.3390/vaccines9111282
Chicago/Turabian StyleMori, Yoshiro, Nobuyuki Miyatake, Hiromi Suzuki, Setsuo Okada, and Kiyotaka Tanimoto. 2021. "A Text Mining-Based Survey of Pre-Impressions of Medical Staff toward COVID-19 Vaccination in a Designated Medical Institution for Class II Infectious Diseases" Vaccines 9, no. 11: 1282. https://doi.org/10.3390/vaccines9111282
APA StyleMori, Y., Miyatake, N., Suzuki, H., Okada, S., & Tanimoto, K. (2021). A Text Mining-Based Survey of Pre-Impressions of Medical Staff toward COVID-19 Vaccination in a Designated Medical Institution for Class II Infectious Diseases. Vaccines, 9(11), 1282. https://doi.org/10.3390/vaccines9111282