Cargando…
Assessment of dropout rates in the preclinical years and contributing factors: a study on one Thai medical school
BACKGROUND: The highest dropout rate for medical students is during the preclinical years of education. Several studies have reported possible contributing factors, however, studies regarding the dropout rate from medical education among Thai medical students and its associated factors are still lac...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202226/ https://www.ncbi.nlm.nih.gov/pubmed/35710367 http://dx.doi.org/10.1186/s12909-022-03527-z |
_version_ | 1784728487434649600 |
---|---|
author | Wainipitapong, Sorawit Chiddaycha, Mayteewat |
author_facet | Wainipitapong, Sorawit Chiddaycha, Mayteewat |
author_sort | Wainipitapong, Sorawit |
collection | PubMed |
description | BACKGROUND: The highest dropout rate for medical students is during the preclinical years of education. Several studies have reported possible contributing factors, however, studies regarding the dropout rate from medical education among Thai medical students and its associated factors are still lacking. This study aimed to identify the prevalence of dropout from medical education within the preclinical period and its associated factors among Thai medical students. METHODS: We collected data from preclinical medical students who entered one medical school in Bangkok, Thailand, between 2017–2019. Demographic data, admission program, pre-admission mental health status assessed by the Thai Mental Health Indicator 66, mental health records from the faculty-based counseling services, and academic achievement were extracted. Data were reported in a descriptive fashion. We analyzed the association between dropout and these factors by robust Poisson regression. RESULTS: In total, 914 students were recruited. Dropout was only 1.5%, which was lower than the previous studies. Regression analysis showed a significant association between dropout and mental health problems [Prevalence ratio (PR) 58.20, 95%CI 13.72- 246.95] but not admission program [PR 0.32, 95%CI 0.09 – 1.16] or failing examinations [PR 0.59, 95%CI 0.18 – 1.90]. However, other contributing factors such as financial status, family problems, medical illness, and students’ motivation, were not evaluated in this study. CONCLUSIONS: Mental health problems during medical education were associated with dropout after adjusting for other confounding variables. Further longitudinal studies are needed to identify the impacts of academic failure on dropout in higher clinical years. |
format | Online Article Text |
id | pubmed-9202226 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92022262022-06-17 Assessment of dropout rates in the preclinical years and contributing factors: a study on one Thai medical school Wainipitapong, Sorawit Chiddaycha, Mayteewat BMC Med Educ Research BACKGROUND: The highest dropout rate for medical students is during the preclinical years of education. Several studies have reported possible contributing factors, however, studies regarding the dropout rate from medical education among Thai medical students and its associated factors are still lacking. This study aimed to identify the prevalence of dropout from medical education within the preclinical period and its associated factors among Thai medical students. METHODS: We collected data from preclinical medical students who entered one medical school in Bangkok, Thailand, between 2017–2019. Demographic data, admission program, pre-admission mental health status assessed by the Thai Mental Health Indicator 66, mental health records from the faculty-based counseling services, and academic achievement were extracted. Data were reported in a descriptive fashion. We analyzed the association between dropout and these factors by robust Poisson regression. RESULTS: In total, 914 students were recruited. Dropout was only 1.5%, which was lower than the previous studies. Regression analysis showed a significant association between dropout and mental health problems [Prevalence ratio (PR) 58.20, 95%CI 13.72- 246.95] but not admission program [PR 0.32, 95%CI 0.09 – 1.16] or failing examinations [PR 0.59, 95%CI 0.18 – 1.90]. However, other contributing factors such as financial status, family problems, medical illness, and students’ motivation, were not evaluated in this study. CONCLUSIONS: Mental health problems during medical education were associated with dropout after adjusting for other confounding variables. Further longitudinal studies are needed to identify the impacts of academic failure on dropout in higher clinical years. BioMed Central 2022-06-16 /pmc/articles/PMC9202226/ /pubmed/35710367 http://dx.doi.org/10.1186/s12909-022-03527-z 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 Wainipitapong, Sorawit Chiddaycha, Mayteewat Assessment of dropout rates in the preclinical years and contributing factors: a study on one Thai medical school |
title | Assessment of dropout rates in the preclinical years and contributing factors: a study on one Thai medical school |
title_full | Assessment of dropout rates in the preclinical years and contributing factors: a study on one Thai medical school |
title_fullStr | Assessment of dropout rates in the preclinical years and contributing factors: a study on one Thai medical school |
title_full_unstemmed | Assessment of dropout rates in the preclinical years and contributing factors: a study on one Thai medical school |
title_short | Assessment of dropout rates in the preclinical years and contributing factors: a study on one Thai medical school |
title_sort | assessment of dropout rates in the preclinical years and contributing factors: a study on one thai medical school |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202226/ https://www.ncbi.nlm.nih.gov/pubmed/35710367 http://dx.doi.org/10.1186/s12909-022-03527-z |
work_keys_str_mv | AT wainipitapongsorawit assessmentofdropoutratesinthepreclinicalyearsandcontributingfactorsastudyononethaimedicalschool AT chiddaychamayteewat assessmentofdropoutratesinthepreclinicalyearsandcontributingfactorsastudyononethaimedicalschool |