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Sample attrition analysis in a prospective cohort study of medical graduates in China
BACKGROUND: A major challenge of prospective cohort studies is attrition in follow-up surveys. This study investigated attrition in a prospective cohort comprised of medical graduates in China. We described status of attrition, identified participants with higher possibility of attrition, and examin...
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/PMC8758240/ https://www.ncbi.nlm.nih.gov/pubmed/35027004 http://dx.doi.org/10.1186/s12874-021-01498-1 |
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author | Li, Mingyue Wang, Ziyue Zhang, Baisong Wei, Tiantian Hu, Dan Liu, Xiaoyun |
author_facet | Li, Mingyue Wang, Ziyue Zhang, Baisong Wei, Tiantian Hu, Dan Liu, Xiaoyun |
author_sort | Li, Mingyue |
collection | PubMed |
description | BACKGROUND: A major challenge of prospective cohort studies is attrition in follow-up surveys. This study investigated attrition in a prospective cohort comprised of medical graduates in China. We described status of attrition, identified participants with higher possibility of attrition, and examined if attrition affect the estimation of the key outcome measures. METHODS: The cohort study recruited 3,620 new medical graduates from four medical universities in central and western China between 2015 and 2019. Online follow-up surveys were conducted on an annual basis. Follow-up status was defined as complete (meaning that the participant completed all the follow-up surveys) and incomplete, while incomplete follow-up was further divided into ‘always-out’, ‘rejoin’ and ‘other’. Multivariable logistic and linear regressions were used to examine factors predicting attrition and the influence on the outcome measures of career development. RESULTS: 2364 (65.3%) participants completed all follow-up surveys. For those with incomplete follow-up, 520 (14.4%) were ‘always-out’, 276 (7.6%) rejoined in the 2020 survey. Willingness to participate in residency training (OR=0.80, 95%CI[0.66 - 0.98]) and willingness to provide sensitive information in the baseline survey predicted a lower rate of attrition (providing scores for university entrance exam OR=0.82, 95%CI[0.69 - 0.97]]; providing contact information (OR=0.46, 95%CI[0.32 - 0.66]); providing household income (OR=0.60, 95%CI[0.43 - 0.84]). Participants with compulsory rural service (OR=1.52, 95%CI[1.05 - 2.19]) and those providing university entrance scores (OR=1.64, 95%CI[1.15-2.33)) were more likely to rejoin in the follow-up survey. These factors associated with follow-up status did not have significant impact on key outcome measures of career development. CONCLUSIONS: Graduates who were unwilling to participate in residency training or not providing sensitive information should be targeted early in the cohort study to reduce attrition. More information about the study should be provided to those graduates early to facilitate their understanding of the meaning in participation. On the contrary, medical graduates with compulsory rural service and those who provided university entrance scores were more likely to rejoin in the cohort. The research team should invest more effort in contacting those graduates and returned them to the cohort. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-021-01498-1. |
format | Online Article Text |
id | pubmed-8758240 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87582402022-01-14 Sample attrition analysis in a prospective cohort study of medical graduates in China Li, Mingyue Wang, Ziyue Zhang, Baisong Wei, Tiantian Hu, Dan Liu, Xiaoyun BMC Med Res Methodol Research BACKGROUND: A major challenge of prospective cohort studies is attrition in follow-up surveys. This study investigated attrition in a prospective cohort comprised of medical graduates in China. We described status of attrition, identified participants with higher possibility of attrition, and examined if attrition affect the estimation of the key outcome measures. METHODS: The cohort study recruited 3,620 new medical graduates from four medical universities in central and western China between 2015 and 2019. Online follow-up surveys were conducted on an annual basis. Follow-up status was defined as complete (meaning that the participant completed all the follow-up surveys) and incomplete, while incomplete follow-up was further divided into ‘always-out’, ‘rejoin’ and ‘other’. Multivariable logistic and linear regressions were used to examine factors predicting attrition and the influence on the outcome measures of career development. RESULTS: 2364 (65.3%) participants completed all follow-up surveys. For those with incomplete follow-up, 520 (14.4%) were ‘always-out’, 276 (7.6%) rejoined in the 2020 survey. Willingness to participate in residency training (OR=0.80, 95%CI[0.66 - 0.98]) and willingness to provide sensitive information in the baseline survey predicted a lower rate of attrition (providing scores for university entrance exam OR=0.82, 95%CI[0.69 - 0.97]]; providing contact information (OR=0.46, 95%CI[0.32 - 0.66]); providing household income (OR=0.60, 95%CI[0.43 - 0.84]). Participants with compulsory rural service (OR=1.52, 95%CI[1.05 - 2.19]) and those providing university entrance scores (OR=1.64, 95%CI[1.15-2.33)) were more likely to rejoin in the follow-up survey. These factors associated with follow-up status did not have significant impact on key outcome measures of career development. CONCLUSIONS: Graduates who were unwilling to participate in residency training or not providing sensitive information should be targeted early in the cohort study to reduce attrition. More information about the study should be provided to those graduates early to facilitate their understanding of the meaning in participation. On the contrary, medical graduates with compulsory rural service and those who provided university entrance scores were more likely to rejoin in the cohort. The research team should invest more effort in contacting those graduates and returned them to the cohort. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-021-01498-1. BioMed Central 2022-01-14 /pmc/articles/PMC8758240/ /pubmed/35027004 http://dx.doi.org/10.1186/s12874-021-01498-1 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 Li, Mingyue Wang, Ziyue Zhang, Baisong Wei, Tiantian Hu, Dan Liu, Xiaoyun Sample attrition analysis in a prospective cohort study of medical graduates in China |
title | Sample attrition analysis in a prospective cohort study of medical graduates in China |
title_full | Sample attrition analysis in a prospective cohort study of medical graduates in China |
title_fullStr | Sample attrition analysis in a prospective cohort study of medical graduates in China |
title_full_unstemmed | Sample attrition analysis in a prospective cohort study of medical graduates in China |
title_short | Sample attrition analysis in a prospective cohort study of medical graduates in China |
title_sort | sample attrition analysis in a prospective cohort study of medical graduates in china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758240/ https://www.ncbi.nlm.nih.gov/pubmed/35027004 http://dx.doi.org/10.1186/s12874-021-01498-1 |
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