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Barriers against required nurse estimation models applying in Iran hospitals from health system experts’ point of view
INTRODUCTION: One of the strategies for accessing effective nursing care is to design and implement a nursing estimation model. The purpose of this research was to determine barriers in applying models or norms for estimating the size of a hospital’s nursing team. METHODS: This study was conducted f...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Electronic physician
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5279965/ https://www.ncbi.nlm.nih.gov/pubmed/28163847 http://dx.doi.org/10.19082/3348 |
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author | Tabatabaee, Seyed Saeed Nekoie-Moghadam, Mahmood Vafaee-Najar, Ali Amiresmaili, Mohammad Reza |
author_facet | Tabatabaee, Seyed Saeed Nekoie-Moghadam, Mahmood Vafaee-Najar, Ali Amiresmaili, Mohammad Reza |
author_sort | Tabatabaee, Seyed Saeed |
collection | PubMed |
description | INTRODUCTION: One of the strategies for accessing effective nursing care is to design and implement a nursing estimation model. The purpose of this research was to determine barriers in applying models or norms for estimating the size of a hospital’s nursing team. METHODS: This study was conducted from November 2015 to March 2016 among three levels of managers at the Ministry of Health, medical universities, and hospitals in Iran. We carried out a qualitative study using a Colaizzi method. We used semistructured and in-depth interviews by purposive, quota, and snowball sampling of 32 participants (10 informed experts in the area of policymaking in human resources in the Ministry of Health, 10 decision makers in employment and distribution of human resources in treatment and administrative chancellors of Medical Universities, and 12 nursing managers in hospitals). The data were analyzed by Atlas.ti software version 6.0.15. RESULTS: The following 14 subthemes emerged from data analysis: Lack of specific steward, weakness in attracting stakeholder contributions, lack of authorities trust to the models, lack of mutual interests between stakeholders, shortage of nurses, financial deficit, non-native models, designing models by people unfamiliar with nursing process, lack of attention to the nature of work in each ward, lack of attention to hospital classification, lack of transparency in defining models, reduced nurses available time, increased indirect activity of nurses, and outdated norms. The main themes were inappropriate planning and policymaking in high levels, resource constraints, and poor design of models and lack of updating the model. CONCLUSION: The results of present study indicate that many barriers exist in applying models for estimating the size of a hospital’s nursing team. Therefore, for designing an appropriate nursing staff estimation model and implementing it, in addition to considering the present barriers, identifying the norm required features may positively impact on norm acceptance and implementation. |
format | Online Article Text |
id | pubmed-5279965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Electronic physician |
record_format | MEDLINE/PubMed |
spelling | pubmed-52799652017-02-03 Barriers against required nurse estimation models applying in Iran hospitals from health system experts’ point of view Tabatabaee, Seyed Saeed Nekoie-Moghadam, Mahmood Vafaee-Najar, Ali Amiresmaili, Mohammad Reza Electron Physician Original Article INTRODUCTION: One of the strategies for accessing effective nursing care is to design and implement a nursing estimation model. The purpose of this research was to determine barriers in applying models or norms for estimating the size of a hospital’s nursing team. METHODS: This study was conducted from November 2015 to March 2016 among three levels of managers at the Ministry of Health, medical universities, and hospitals in Iran. We carried out a qualitative study using a Colaizzi method. We used semistructured and in-depth interviews by purposive, quota, and snowball sampling of 32 participants (10 informed experts in the area of policymaking in human resources in the Ministry of Health, 10 decision makers in employment and distribution of human resources in treatment and administrative chancellors of Medical Universities, and 12 nursing managers in hospitals). The data were analyzed by Atlas.ti software version 6.0.15. RESULTS: The following 14 subthemes emerged from data analysis: Lack of specific steward, weakness in attracting stakeholder contributions, lack of authorities trust to the models, lack of mutual interests between stakeholders, shortage of nurses, financial deficit, non-native models, designing models by people unfamiliar with nursing process, lack of attention to the nature of work in each ward, lack of attention to hospital classification, lack of transparency in defining models, reduced nurses available time, increased indirect activity of nurses, and outdated norms. The main themes were inappropriate planning and policymaking in high levels, resource constraints, and poor design of models and lack of updating the model. CONCLUSION: The results of present study indicate that many barriers exist in applying models for estimating the size of a hospital’s nursing team. Therefore, for designing an appropriate nursing staff estimation model and implementing it, in addition to considering the present barriers, identifying the norm required features may positively impact on norm acceptance and implementation. Electronic physician 2016-12-25 /pmc/articles/PMC5279965/ /pubmed/28163847 http://dx.doi.org/10.19082/3348 Text en © 2016 The Authors This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Original Article Tabatabaee, Seyed Saeed Nekoie-Moghadam, Mahmood Vafaee-Najar, Ali Amiresmaili, Mohammad Reza Barriers against required nurse estimation models applying in Iran hospitals from health system experts’ point of view |
title | Barriers against required nurse estimation models applying in Iran hospitals from health system experts’ point of view |
title_full | Barriers against required nurse estimation models applying in Iran hospitals from health system experts’ point of view |
title_fullStr | Barriers against required nurse estimation models applying in Iran hospitals from health system experts’ point of view |
title_full_unstemmed | Barriers against required nurse estimation models applying in Iran hospitals from health system experts’ point of view |
title_short | Barriers against required nurse estimation models applying in Iran hospitals from health system experts’ point of view |
title_sort | barriers against required nurse estimation models applying in iran hospitals from health system experts’ point of view |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5279965/ https://www.ncbi.nlm.nih.gov/pubmed/28163847 http://dx.doi.org/10.19082/3348 |
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