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
The present study investigated the pre-impressions of medical staff toward coronavirus disease 2019 (COVID-19) vaccination in a designated medical institution for class II infectious diseases in Sakaide, Japan using a text mining analysis. A total of 387 medical staff were surveyed on their pre-vacc...
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Format: | Article |
Language: | English |
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MDPI AG
2021-11-01
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Series: | Vaccines |
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Online Access: | https://www.mdpi.com/2076-393X/9/11/1282 |
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author | Yoshiro Mori Nobuyuki Miyatake Hiromi Suzuki Setsuo Okada Kiyotaka Tanimoto |
author_facet | Yoshiro Mori Nobuyuki Miyatake Hiromi Suzuki Setsuo Okada Kiyotaka Tanimoto |
author_sort | Yoshiro Mori |
collection | DOAJ |
description | The present study investigated the pre-impressions of medical staff toward coronavirus disease 2019 (COVID-19) vaccination in a designated medical institution for class II infectious diseases in Sakaide, Japan using a text mining analysis. A total of 387 medical staff were surveyed on their pre-vaccination impressions toward the COVID-19 vaccine using an open-ended questionnaire from March 1st to 7th (the first survey) and from March 22nd to 28th (the second survey) at Sakaide City Hospital, Sakaide, Japan. A total of 296 people answered the question for the first time and 234 people answered for the second time among the 387 people. The vaccination rate was slightly lower for the younger generation than for the older generation. Before the first vaccination, the younger generation expressed concerns about side effects as well as a negative impact on pregnancy. However, before the second vaccination, there were fewer concerns regarding side effects and words of reassurance were also noted. Nurses expressed more opinions about side effects in both the first and second vaccinations than other medical staff. Concerns regarding side effects among medical staff decreased with the progression of COVID-19 vaccination. These data may provide useful information about the promotion of COVID-19 vaccination to the public, particularly in the young generation and women. |
first_indexed | 2024-03-10T05:00:23Z |
format | Article |
id | doaj.art-a3f705463a1543cba4e55e4d8ce103ae |
institution | Directory Open Access Journal |
issn | 2076-393X |
language | English |
last_indexed | 2024-03-10T05:00:23Z |
publishDate | 2021-11-01 |
publisher | MDPI AG |
record_format | Article |
series | Vaccines |
spelling | doaj.art-a3f705463a1543cba4e55e4d8ce103ae2023-11-23T01:52:19ZengMDPI AGVaccines2076-393X2021-11-01911128210.3390/vaccines9111282A Text Mining-Based Survey of Pre-Impressions of Medical Staff toward COVID-19 Vaccination in a Designated Medical Institution for Class II Infectious DiseasesYoshiro Mori0Nobuyuki Miyatake1Hiromi Suzuki2Setsuo Okada3Kiyotaka Tanimoto4Department of Hygiene, Faculty of Medicine, Kagawa University, Miki 761-0793, JapanDepartment of Hygiene, Faculty of Medicine, Kagawa University, Miki 761-0793, JapanDepartment of Hygiene, Faculty of Medicine, Kagawa University, Miki 761-0793, JapanSakaide City Hospital, Sakaide 762-8550, JapanSakaide City Hospital, Sakaide 762-8550, JapanThe present study investigated the pre-impressions of medical staff toward coronavirus disease 2019 (COVID-19) vaccination in a designated medical institution for class II infectious diseases in Sakaide, Japan using a text mining analysis. A total of 387 medical staff were surveyed on their pre-vaccination impressions toward the COVID-19 vaccine using an open-ended questionnaire from March 1st to 7th (the first survey) and from March 22nd to 28th (the second survey) at Sakaide City Hospital, Sakaide, Japan. A total of 296 people answered the question for the first time and 234 people answered for the second time among the 387 people. The vaccination rate was slightly lower for the younger generation than for the older generation. Before the first vaccination, the younger generation expressed concerns about side effects as well as a negative impact on pregnancy. However, before the second vaccination, there were fewer concerns regarding side effects and words of reassurance were also noted. Nurses expressed more opinions about side effects in both the first and second vaccinations than other medical staff. Concerns regarding side effects among medical staff decreased with the progression of COVID-19 vaccination. These data may provide useful information about the promotion of COVID-19 vaccination to the public, particularly in the young generation and women.https://www.mdpi.com/2076-393X/9/11/1282COVID-19vaccinationtext miningimpression |
spellingShingle | Yoshiro Mori Nobuyuki Miyatake Hiromi Suzuki Setsuo Okada Kiyotaka Tanimoto 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 COVID-19 vaccination text mining impression |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | text mining based survey of pre impressions of medical staff toward covid 19 vaccination in a designated medical institution for class ii infectious diseases |
topic | COVID-19 vaccination text mining impression |
url | https://www.mdpi.com/2076-393X/9/11/1282 |
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