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A survival analysis approach to determine factors associated with non-retention of newly hired health workers in Iran
BACKGROUND AND AIM: One of the main tasks of the healthcare human resource management is to maintain and retain professional staff. The high level turnover of professional staff may reduce the quality of healthcare service delivery. Therefore, this study investigated the factors associated with the...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022210/ https://www.ncbi.nlm.nih.gov/pubmed/36927509 http://dx.doi.org/10.1186/s12913-023-09262-5 |
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author | Ghavami, Vahid Tabatabaee, Seyed Saeed |
author_facet | Ghavami, Vahid Tabatabaee, Seyed Saeed |
author_sort | Ghavami, Vahid |
collection | PubMed |
description | BACKGROUND AND AIM: One of the main tasks of the healthcare human resource management is to maintain and retain professional staff. The high level turnover of professional staff may reduce the quality of healthcare service delivery. Therefore, this study investigated the factors associated with the turnover of the newly recruited healthcare professionals using survival analysis method in Iran. MATERIALS AND METHODS: This historical cohort analysis comprised 6811 employees who began working at Mashhad University of Medical Sciences between 2005 and 2020. Employees recruited at any of the university’s units between the years 2005 to 2019 were included. We used appropriate descriptive indices and Log-rank test and the Cox proportional-hazards model to assess the staff turnover. A significance level of 0.05 was used for all tests. RESULTS: The findings of the survival analysis showed that the probability of turnover in one year, two years, and five years of employment were 0.12, 0.16, and 0.27. Based on the findings of the Log-rank test, the probability of turnover in entire of the study period was not statistically different between male and female (p = 0.573), and likewise between employees with healthcare occupations and non-healthcare occupations (p = 0.351). Employees whose current workplace and birthplace were not similar had a significantly higher probability of turnover (p < 0.001). Accordingly, the Cox regression result showed, the risk of turnover for the singles was 1.22 times higher than the married. For the Ph.D degree was 3.23 times higher compared to those with a diploma or an associate degree, and for a bachelor’s or master’s degree was 2.06 times more likely to change their workplace than those with a diploma or an associate degree. CONCLUSION: Policies promoting the recruitment of native-born professionals, given priority to the married candidates than single ones, and/or recurring candidates to pledge to stay in the locality of recruitment site can increase the staff retention and reduce the costs of staff turnover including re-hiring, initial and on-the-job training, accommodation, and other extra living consumptions away from home and family. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-09262-5. |
format | Online Article Text |
id | pubmed-10022210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100222102023-03-18 A survival analysis approach to determine factors associated with non-retention of newly hired health workers in Iran Ghavami, Vahid Tabatabaee, Seyed Saeed BMC Health Serv Res Research BACKGROUND AND AIM: One of the main tasks of the healthcare human resource management is to maintain and retain professional staff. The high level turnover of professional staff may reduce the quality of healthcare service delivery. Therefore, this study investigated the factors associated with the turnover of the newly recruited healthcare professionals using survival analysis method in Iran. MATERIALS AND METHODS: This historical cohort analysis comprised 6811 employees who began working at Mashhad University of Medical Sciences between 2005 and 2020. Employees recruited at any of the university’s units between the years 2005 to 2019 were included. We used appropriate descriptive indices and Log-rank test and the Cox proportional-hazards model to assess the staff turnover. A significance level of 0.05 was used for all tests. RESULTS: The findings of the survival analysis showed that the probability of turnover in one year, two years, and five years of employment were 0.12, 0.16, and 0.27. Based on the findings of the Log-rank test, the probability of turnover in entire of the study period was not statistically different between male and female (p = 0.573), and likewise between employees with healthcare occupations and non-healthcare occupations (p = 0.351). Employees whose current workplace and birthplace were not similar had a significantly higher probability of turnover (p < 0.001). Accordingly, the Cox regression result showed, the risk of turnover for the singles was 1.22 times higher than the married. For the Ph.D degree was 3.23 times higher compared to those with a diploma or an associate degree, and for a bachelor’s or master’s degree was 2.06 times more likely to change their workplace than those with a diploma or an associate degree. CONCLUSION: Policies promoting the recruitment of native-born professionals, given priority to the married candidates than single ones, and/or recurring candidates to pledge to stay in the locality of recruitment site can increase the staff retention and reduce the costs of staff turnover including re-hiring, initial and on-the-job training, accommodation, and other extra living consumptions away from home and family. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-023-09262-5. BioMed Central 2023-03-16 /pmc/articles/PMC10022210/ /pubmed/36927509 http://dx.doi.org/10.1186/s12913-023-09262-5 Text en © The Author(s) 2023 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 Ghavami, Vahid Tabatabaee, Seyed Saeed A survival analysis approach to determine factors associated with non-retention of newly hired health workers in Iran |
title | A survival analysis approach to determine factors associated with non-retention of newly hired health workers in Iran |
title_full | A survival analysis approach to determine factors associated with non-retention of newly hired health workers in Iran |
title_fullStr | A survival analysis approach to determine factors associated with non-retention of newly hired health workers in Iran |
title_full_unstemmed | A survival analysis approach to determine factors associated with non-retention of newly hired health workers in Iran |
title_short | A survival analysis approach to determine factors associated with non-retention of newly hired health workers in Iran |
title_sort | survival analysis approach to determine factors associated with non-retention of newly hired health workers in iran |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022210/ https://www.ncbi.nlm.nih.gov/pubmed/36927509 http://dx.doi.org/10.1186/s12913-023-09262-5 |
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