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Effects of periodontal clinical database software in resident training during COVID-19 pandemic: a prospective observational study
BACKGROUND: Dental residents in Guangdong, China, had fewer medical practice opportunities because of the pandemic of COVID-19. This study aimed to evaluate whether a case-based learning (CBL) approach using a periodontal clinical database software (PCDS) could improve residents' achievement in...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8972904/ https://www.ncbi.nlm.nih.gov/pubmed/35365141 http://dx.doi.org/10.1186/s12909-022-03289-8 |
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author | Zhu, Wenjun Feng, Rongmei Fu, Yun |
author_facet | Zhu, Wenjun Feng, Rongmei Fu, Yun |
author_sort | Zhu, Wenjun |
collection | PubMed |
description | BACKGROUND: Dental residents in Guangdong, China, had fewer medical practice opportunities because of the pandemic of COVID-19. This study aimed to evaluate whether a case-based learning (CBL) approach using a periodontal clinical database software (PCDS) could improve residents' achievement in the exam of the standardized residency training (SRT) program. METHODS: Forty-four dental residents volunteered and completed this trial. Within 12 weeks, all residents admitted periodontal patients 5 days a week and participated in a case-based learning course using PCDS once a week. Two online case-based examinations were used to evaluate their diagnostic and therapeutic performance before and after training. The total accuracy rate of examinations and the accuracy rate of subitems were analyzed using paired samples T-test. The Bonferroni correction is used for multiple testing adjustments, and p < 0.05 was considered statistical significance. RESULTS: After training, the total accuracy rate of SRT exams raised from 65 to 76%. There was a significant difference in the accuracy rate before and after training (Mean = 0.103, SD = 0.141, p < 0.001). The accuracy of radiographic examination (type of alveolar bone absorption and hard tissue lesion of tooth) and making treatment plan was significantly improved after training (p < 0.005). However, residents' performance in diagnosing periodontitis and predicting the prognosis of affected teeth was not improved. CONCLUSIONS: The PCDS and CBL method effectively improved the residents' achievement in SRT examination, especially in identifying the type of resorption of alveolar bone and the hard tissue lesion of a tooth by radiographic examination and making an appropriate treatment plan for a periodontitis patient. More effective teaching approaches are needed to improve residents' accuracy of diagnosis of periodontitis using the 2018 classification in China. |
format | Online Article Text |
id | pubmed-8972904 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89729042022-04-01 Effects of periodontal clinical database software in resident training during COVID-19 pandemic: a prospective observational study Zhu, Wenjun Feng, Rongmei Fu, Yun BMC Med Educ Research BACKGROUND: Dental residents in Guangdong, China, had fewer medical practice opportunities because of the pandemic of COVID-19. This study aimed to evaluate whether a case-based learning (CBL) approach using a periodontal clinical database software (PCDS) could improve residents' achievement in the exam of the standardized residency training (SRT) program. METHODS: Forty-four dental residents volunteered and completed this trial. Within 12 weeks, all residents admitted periodontal patients 5 days a week and participated in a case-based learning course using PCDS once a week. Two online case-based examinations were used to evaluate their diagnostic and therapeutic performance before and after training. The total accuracy rate of examinations and the accuracy rate of subitems were analyzed using paired samples T-test. The Bonferroni correction is used for multiple testing adjustments, and p < 0.05 was considered statistical significance. RESULTS: After training, the total accuracy rate of SRT exams raised from 65 to 76%. There was a significant difference in the accuracy rate before and after training (Mean = 0.103, SD = 0.141, p < 0.001). The accuracy of radiographic examination (type of alveolar bone absorption and hard tissue lesion of tooth) and making treatment plan was significantly improved after training (p < 0.005). However, residents' performance in diagnosing periodontitis and predicting the prognosis of affected teeth was not improved. CONCLUSIONS: The PCDS and CBL method effectively improved the residents' achievement in SRT examination, especially in identifying the type of resorption of alveolar bone and the hard tissue lesion of a tooth by radiographic examination and making an appropriate treatment plan for a periodontitis patient. More effective teaching approaches are needed to improve residents' accuracy of diagnosis of periodontitis using the 2018 classification in China. BioMed Central 2022-04-01 /pmc/articles/PMC8972904/ /pubmed/35365141 http://dx.doi.org/10.1186/s12909-022-03289-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zhu, Wenjun Feng, Rongmei Fu, Yun Effects of periodontal clinical database software in resident training during COVID-19 pandemic: a prospective observational study |
title | Effects of periodontal clinical database software in resident training during COVID-19 pandemic: a prospective observational study |
title_full | Effects of periodontal clinical database software in resident training during COVID-19 pandemic: a prospective observational study |
title_fullStr | Effects of periodontal clinical database software in resident training during COVID-19 pandemic: a prospective observational study |
title_full_unstemmed | Effects of periodontal clinical database software in resident training during COVID-19 pandemic: a prospective observational study |
title_short | Effects of periodontal clinical database software in resident training during COVID-19 pandemic: a prospective observational study |
title_sort | effects of periodontal clinical database software in resident training during covid-19 pandemic: a prospective observational study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8972904/ https://www.ncbi.nlm.nih.gov/pubmed/35365141 http://dx.doi.org/10.1186/s12909-022-03289-8 |
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