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Performance of the Mexican nursing labor market: a repeated cross-sectional study, 2005–2019
BACKGROUND: The close link between human resources for health and the performance of health systems calls for a comprehensive study of the labor market. This paper proposes a performance metric for the nursing labor market, measures its magnitude and analyzes its predictors over the last 15 years. D...
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/PMC8917372/ https://www.ncbi.nlm.nih.gov/pubmed/35279168 http://dx.doi.org/10.1186/s12960-022-00721-4 |
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author | Nigenda, Gustavo Serván-Mori, Edson Fuentes-Rivera, Evelyn Aristizabal, Patricia Zárate-Grajales, Rosa Amarilis |
author_facet | Nigenda, Gustavo Serván-Mori, Edson Fuentes-Rivera, Evelyn Aristizabal, Patricia Zárate-Grajales, Rosa Amarilis |
author_sort | Nigenda, Gustavo |
collection | PubMed |
description | BACKGROUND: The close link between human resources for health and the performance of health systems calls for a comprehensive study of the labor market. This paper proposes a performance metric for the nursing labor market, measures its magnitude and analyzes its predictors over the last 15 years. DESIGN AND METHODS: A repeated cross-sectional analysis using data from the quarterly population-based National Survey of Occupation and Employment 2005–2019 (ENOE in Spanish). An aggregate total of 19,311 Mexican nurses (population N = 4,816,930) was analyzed. Nursing labor market performance was defined as the level of non-precarious employment of nurses in the health sector. After describing the sociodemographic, labor and contextual characteristics of the nurses surveyed, we identified the key correlates of market performance using repeated cross-sectional multiple logistic regression analysis. We then estimated the adjusted prevalence of market performance according to the survey period and socioeconomic region of residence. RESULTS: The exogenous indicators analyzed shed light on various aspects of the market structure. Unemployment remained stable at 5% during the period examined, but underemployment rose by 26% and precarious employment, our endogenous indicator, also grew significantly. On the whole, our indicators revealed a notable deterioration in the structure of the nursing labor market; they varied by age and sex as well as between public and private institutions. Although the steepest deterioration occurred in the private sector, we observed an increase in precarious jobs among public institutions formerly protective of employment conditions. CONCLUSIONS: The deterioration of the labor market jeopardizes the ability of nursing professionals to participate in the market as well as to obtain secure jobs once they do enter. The Mexican Health System suffers from a chronic dearth of nurses, reducing its capacity to achieve its core objectives including enhanced coverage and increased effectiveness. Nursing workforce planning requires a context where the conditions in which the market currently operates, and its potential deterioration are considered. |
format | Online Article Text |
id | pubmed-8917372 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89173722022-03-14 Performance of the Mexican nursing labor market: a repeated cross-sectional study, 2005–2019 Nigenda, Gustavo Serván-Mori, Edson Fuentes-Rivera, Evelyn Aristizabal, Patricia Zárate-Grajales, Rosa Amarilis Hum Resour Health Research BACKGROUND: The close link between human resources for health and the performance of health systems calls for a comprehensive study of the labor market. This paper proposes a performance metric for the nursing labor market, measures its magnitude and analyzes its predictors over the last 15 years. DESIGN AND METHODS: A repeated cross-sectional analysis using data from the quarterly population-based National Survey of Occupation and Employment 2005–2019 (ENOE in Spanish). An aggregate total of 19,311 Mexican nurses (population N = 4,816,930) was analyzed. Nursing labor market performance was defined as the level of non-precarious employment of nurses in the health sector. After describing the sociodemographic, labor and contextual characteristics of the nurses surveyed, we identified the key correlates of market performance using repeated cross-sectional multiple logistic regression analysis. We then estimated the adjusted prevalence of market performance according to the survey period and socioeconomic region of residence. RESULTS: The exogenous indicators analyzed shed light on various aspects of the market structure. Unemployment remained stable at 5% during the period examined, but underemployment rose by 26% and precarious employment, our endogenous indicator, also grew significantly. On the whole, our indicators revealed a notable deterioration in the structure of the nursing labor market; they varied by age and sex as well as between public and private institutions. Although the steepest deterioration occurred in the private sector, we observed an increase in precarious jobs among public institutions formerly protective of employment conditions. CONCLUSIONS: The deterioration of the labor market jeopardizes the ability of nursing professionals to participate in the market as well as to obtain secure jobs once they do enter. The Mexican Health System suffers from a chronic dearth of nurses, reducing its capacity to achieve its core objectives including enhanced coverage and increased effectiveness. Nursing workforce planning requires a context where the conditions in which the market currently operates, and its potential deterioration are considered. BioMed Central 2022-03-12 /pmc/articles/PMC8917372/ /pubmed/35279168 http://dx.doi.org/10.1186/s12960-022-00721-4 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 Nigenda, Gustavo Serván-Mori, Edson Fuentes-Rivera, Evelyn Aristizabal, Patricia Zárate-Grajales, Rosa Amarilis Performance of the Mexican nursing labor market: a repeated cross-sectional study, 2005–2019 |
title | Performance of the Mexican nursing labor market: a repeated cross-sectional study, 2005–2019 |
title_full | Performance of the Mexican nursing labor market: a repeated cross-sectional study, 2005–2019 |
title_fullStr | Performance of the Mexican nursing labor market: a repeated cross-sectional study, 2005–2019 |
title_full_unstemmed | Performance of the Mexican nursing labor market: a repeated cross-sectional study, 2005–2019 |
title_short | Performance of the Mexican nursing labor market: a repeated cross-sectional study, 2005–2019 |
title_sort | performance of the mexican nursing labor market: a repeated cross-sectional study, 2005–2019 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8917372/ https://www.ncbi.nlm.nih.gov/pubmed/35279168 http://dx.doi.org/10.1186/s12960-022-00721-4 |
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