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Nurses’ job preferences for working in deprived areas in Tehran: a discrete choice experiment

BACKGROUND: In Iran, the issue of the nursing shortage and unequal distribution exist simultaneously. The shortage of healthcare workers is one of the most important concerns of the health systems. In addition, the disparity in the distribution of healthcare workers between large metropolises and re...

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Autores principales: Haddadfar, Amirmohammad, Emamgholipour, Sara, Razani, Mohsen, Salehnejad, Mohammad Hassan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10680310/
https://www.ncbi.nlm.nih.gov/pubmed/38012632
http://dx.doi.org/10.1186/s12960-023-00875-9
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author Haddadfar, Amirmohammad
Emamgholipour, Sara
Razani, Mohsen
Salehnejad, Mohammad Hassan
author_facet Haddadfar, Amirmohammad
Emamgholipour, Sara
Razani, Mohsen
Salehnejad, Mohammad Hassan
author_sort Haddadfar, Amirmohammad
collection PubMed
description BACKGROUND: In Iran, the issue of the nursing shortage and unequal distribution exist simultaneously. The shortage of healthcare workers is one of the most important concerns of the health systems. In addition, the disparity in the distribution of healthcare workers between large metropolises and remote or non-capital areas has become a serious concern and a top priority to address. We conducted this study to identify and create a sufficient understanding of the different financial and non-financial preferences of nurses for working in deprived areas. METHODS: This research was carried out in June and April 2022. It was carried out in three major phases. The factors influencing the nurses' job preferences were first discovered using qualitative methods. The second phase was conducting a pilot study and determining the best design for discrete choice experiment scenarios. The last phase involved publishing the questionnaire to gather information. Data were analyzed (discrete choice analysis) using JMP Pro 16 software. RESULTS: A desirable job for the participants (nurses) in this study would have a higher salary, work in a city, the Rasmi employment contract, a low workload, adequate workplace facilities, an appropriate work schedule, and 1 to 3 years spent on the assigned job to promote to a higher position. Willingness to pay (WTP) and the probability of selecting different attribute levels were also calculated and reported. For example, the highest amount of money that a nurse expected to be paid was for changing the geographical location of the workplace from a city to a deprived area. In this case, a nurse tends to receive 91.87 million IRR more to move from a city to a deprived area to work. This amount of money was by far the most among other WTPs. CONCLUSION: The results of this study indicated that nurses are willing to forego net income in exchange for other favorable characteristics of their working environment and conditions. This shows that a variety of actions are accessible to policymakers that can greatly enhance the working conditions for nurses. The WTP and the probability of selecting various attributes may help policymakers plan more effectively. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12960-023-00875-9.
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spelling pubmed-106803102023-11-27 Nurses’ job preferences for working in deprived areas in Tehran: a discrete choice experiment Haddadfar, Amirmohammad Emamgholipour, Sara Razani, Mohsen Salehnejad, Mohammad Hassan Hum Resour Health Research BACKGROUND: In Iran, the issue of the nursing shortage and unequal distribution exist simultaneously. The shortage of healthcare workers is one of the most important concerns of the health systems. In addition, the disparity in the distribution of healthcare workers between large metropolises and remote or non-capital areas has become a serious concern and a top priority to address. We conducted this study to identify and create a sufficient understanding of the different financial and non-financial preferences of nurses for working in deprived areas. METHODS: This research was carried out in June and April 2022. It was carried out in three major phases. The factors influencing the nurses' job preferences were first discovered using qualitative methods. The second phase was conducting a pilot study and determining the best design for discrete choice experiment scenarios. The last phase involved publishing the questionnaire to gather information. Data were analyzed (discrete choice analysis) using JMP Pro 16 software. RESULTS: A desirable job for the participants (nurses) in this study would have a higher salary, work in a city, the Rasmi employment contract, a low workload, adequate workplace facilities, an appropriate work schedule, and 1 to 3 years spent on the assigned job to promote to a higher position. Willingness to pay (WTP) and the probability of selecting different attribute levels were also calculated and reported. For example, the highest amount of money that a nurse expected to be paid was for changing the geographical location of the workplace from a city to a deprived area. In this case, a nurse tends to receive 91.87 million IRR more to move from a city to a deprived area to work. This amount of money was by far the most among other WTPs. CONCLUSION: The results of this study indicated that nurses are willing to forego net income in exchange for other favorable characteristics of their working environment and conditions. This shows that a variety of actions are accessible to policymakers that can greatly enhance the working conditions for nurses. The WTP and the probability of selecting various attributes may help policymakers plan more effectively. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12960-023-00875-9. BioMed Central 2023-11-27 /pmc/articles/PMC10680310/ /pubmed/38012632 http://dx.doi.org/10.1186/s12960-023-00875-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Haddadfar, Amirmohammad
Emamgholipour, Sara
Razani, Mohsen
Salehnejad, Mohammad Hassan
Nurses’ job preferences for working in deprived areas in Tehran: a discrete choice experiment
title Nurses’ job preferences for working in deprived areas in Tehran: a discrete choice experiment
title_full Nurses’ job preferences for working in deprived areas in Tehran: a discrete choice experiment
title_fullStr Nurses’ job preferences for working in deprived areas in Tehran: a discrete choice experiment
title_full_unstemmed Nurses’ job preferences for working in deprived areas in Tehran: a discrete choice experiment
title_short Nurses’ job preferences for working in deprived areas in Tehran: a discrete choice experiment
title_sort nurses’ job preferences for working in deprived areas in tehran: a discrete choice experiment
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10680310/
https://www.ncbi.nlm.nih.gov/pubmed/38012632
http://dx.doi.org/10.1186/s12960-023-00875-9
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