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Nurse Staffing Norm in Iran Hospitals: What Features Should be Included for Success?

BACKGROUND: Designing and implementing a model for estimation and distribution of required nurse is one of strategies to prevent unequal distribution of nurses within and between hospitals. The purpose of this research was to determine required features for hospital nursing staff estimation model. M...

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Autores principales: Tabatabaee, Seyed Saeed, Vafaee-Najar, Ali, Amiresmaili, Mohammad Reza, Nekoie-Moghadam, Mahmood
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5353769/
https://www.ncbi.nlm.nih.gov/pubmed/28348723
http://dx.doi.org/10.4103/2008-7802.201657
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author Tabatabaee, Seyed Saeed
Vafaee-Najar, Ali
Amiresmaili, Mohammad Reza
Nekoie-Moghadam, Mahmood
author_facet Tabatabaee, Seyed Saeed
Vafaee-Najar, Ali
Amiresmaili, Mohammad Reza
Nekoie-Moghadam, Mahmood
author_sort Tabatabaee, Seyed Saeed
collection PubMed
description BACKGROUND: Designing and implementing a model for estimation and distribution of required nurse is one of strategies to prevent unequal distribution of nurses within and between hospitals. The purpose of this research was to determine required features for hospital nursing staff estimation model. METHODS: We conducted a qualitative study using a Colaizzi analysis approach. We used semi-structure and in-depth interviews by purposive, quota, and snowball sampling of 32 participants (10 informed experts in area of policy making in human resources in Ministry of Health, 10 decisions making in employment and distribution of human resources in treatment and administrative chancellors of medical universities, and 12 process owners in hospitals). The data were analyzed using ATLAS.ti software version 6.0.15. RESULTS: The ten following sub-themes emerged from data analysis: Skill mix and task shifting, work measurement, legal support, stakeholder involvement in designing a model, considering the ward activity, considering type and extent of care patients required, model development by experts predominate in nursing process, considering the nurses availability, considering the capabilities and professional merits of nurses, fitness with social, cultural, and belief of people. The main themes were occupation analysis, planning and policy making, real workload, acceptability, nurses’ efficiency, and being a native. CONCLUSIONS: Given that standardization of nursing staff estimation is announced as one of the challenges in reaching Iran's 20-year vision plan. Hence, design and implementation of a nursing staff estimation model in regard to identified features could be part of priorities in Ministry of Health in Iran.
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spelling pubmed-53537692017-03-27 Nurse Staffing Norm in Iran Hospitals: What Features Should be Included for Success? Tabatabaee, Seyed Saeed Vafaee-Najar, Ali Amiresmaili, Mohammad Reza Nekoie-Moghadam, Mahmood Int J Prev Med Original Article BACKGROUND: Designing and implementing a model for estimation and distribution of required nurse is one of strategies to prevent unequal distribution of nurses within and between hospitals. The purpose of this research was to determine required features for hospital nursing staff estimation model. METHODS: We conducted a qualitative study using a Colaizzi analysis approach. We used semi-structure and in-depth interviews by purposive, quota, and snowball sampling of 32 participants (10 informed experts in area of policy making in human resources in Ministry of Health, 10 decisions making in employment and distribution of human resources in treatment and administrative chancellors of medical universities, and 12 process owners in hospitals). The data were analyzed using ATLAS.ti software version 6.0.15. RESULTS: The ten following sub-themes emerged from data analysis: Skill mix and task shifting, work measurement, legal support, stakeholder involvement in designing a model, considering the ward activity, considering type and extent of care patients required, model development by experts predominate in nursing process, considering the nurses availability, considering the capabilities and professional merits of nurses, fitness with social, cultural, and belief of people. The main themes were occupation analysis, planning and policy making, real workload, acceptability, nurses’ efficiency, and being a native. CONCLUSIONS: Given that standardization of nursing staff estimation is announced as one of the challenges in reaching Iran's 20-year vision plan. Hence, design and implementation of a nursing staff estimation model in regard to identified features could be part of priorities in Ministry of Health in Iran. Medknow Publications & Media Pvt Ltd 2017-03-07 /pmc/articles/PMC5353769/ /pubmed/28348723 http://dx.doi.org/10.4103/2008-7802.201657 Text en Copyright: © 2017 International Journal of Preventive Medicine http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Original Article
Tabatabaee, Seyed Saeed
Vafaee-Najar, Ali
Amiresmaili, Mohammad Reza
Nekoie-Moghadam, Mahmood
Nurse Staffing Norm in Iran Hospitals: What Features Should be Included for Success?
title Nurse Staffing Norm in Iran Hospitals: What Features Should be Included for Success?
title_full Nurse Staffing Norm in Iran Hospitals: What Features Should be Included for Success?
title_fullStr Nurse Staffing Norm in Iran Hospitals: What Features Should be Included for Success?
title_full_unstemmed Nurse Staffing Norm in Iran Hospitals: What Features Should be Included for Success?
title_short Nurse Staffing Norm in Iran Hospitals: What Features Should be Included for Success?
title_sort nurse staffing norm in iran hospitals: what features should be included for success?
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5353769/
https://www.ncbi.nlm.nih.gov/pubmed/28348723
http://dx.doi.org/10.4103/2008-7802.201657
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