Cargando…
Models for projecting supply and demand for nurses in Israel
BACKGROUND: Concern is growing over serious shortages in the nursing workforce and imbalance between supply and demand. Projections indicate that the demand for the nursing workforce will increase due to the aging population and an increase of the percentage of elderly people requiring assistance. S...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4678531/ https://www.ncbi.nlm.nih.gov/pubmed/26673989 http://dx.doi.org/10.1186/s13584-015-0043-6 |
_version_ | 1782405459214336000 |
---|---|
author | Nirel, Nurit Grinstien-Cohen, Orli Eyal, Yonatan Samuel, Hadar Ben-Shoham, Assaf |
author_facet | Nirel, Nurit Grinstien-Cohen, Orli Eyal, Yonatan Samuel, Hadar Ben-Shoham, Assaf |
author_sort | Nirel, Nurit |
collection | PubMed |
description | BACKGROUND: Concern is growing over serious shortages in the nursing workforce and imbalance between supply and demand. Projections indicate that the demand for the nursing workforce will increase due to the aging population and an increase of the percentage of elderly people requiring assistance. STUDY GOALS: To examine the expected balance between supply and several demand projections for nurses in Israel in order to contribute to planning the nursing workforce. METHODS: 1. Open interviews with key figures in the healthcare and nursing care systems; 2. Examination of supply and demand for nurses; 3. Examination of the balance between supply and demand projections. MAIN FINDINGS: A considerable gap was found between the supply and demand projections for registered nurses, which will increase over time according to each of the demand projection models up to 2030. All of the models indicate that the projected shortage will be significantly affected by the age at which the nurses retire. Models based on a fixed ratio of nurses or infrastructure (beds, positions) per population show a particularly great gap between demand and supply. However, a more conservative model (based on hospital utilization), that takes the system's infrastructures and limitations, as well as the growing population and changes in its composition into account, without an increase in the direct ratio of the number of nurses, also predict a significant shortage of nurses within 20 years. CONCLUSIONS: The gaps between the demand and supply projections indicate the need to augment the workforce in addition to the steps currently taken to recruit nursing staff and increase the number of training institutions for nurses. The relatively simple supply prediction models, which are based on available sources of information that can be easily revised, will make it possible to monitor and update projections regularly over time. The models developed in this study should help the process of long-term strategic planning for the number of nurses in Israel. |
format | Online Article Text |
id | pubmed-4678531 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-46785312015-12-16 Models for projecting supply and demand for nurses in Israel Nirel, Nurit Grinstien-Cohen, Orli Eyal, Yonatan Samuel, Hadar Ben-Shoham, Assaf Isr J Health Policy Res Original Research Article BACKGROUND: Concern is growing over serious shortages in the nursing workforce and imbalance between supply and demand. Projections indicate that the demand for the nursing workforce will increase due to the aging population and an increase of the percentage of elderly people requiring assistance. STUDY GOALS: To examine the expected balance between supply and several demand projections for nurses in Israel in order to contribute to planning the nursing workforce. METHODS: 1. Open interviews with key figures in the healthcare and nursing care systems; 2. Examination of supply and demand for nurses; 3. Examination of the balance between supply and demand projections. MAIN FINDINGS: A considerable gap was found between the supply and demand projections for registered nurses, which will increase over time according to each of the demand projection models up to 2030. All of the models indicate that the projected shortage will be significantly affected by the age at which the nurses retire. Models based on a fixed ratio of nurses or infrastructure (beds, positions) per population show a particularly great gap between demand and supply. However, a more conservative model (based on hospital utilization), that takes the system's infrastructures and limitations, as well as the growing population and changes in its composition into account, without an increase in the direct ratio of the number of nurses, also predict a significant shortage of nurses within 20 years. CONCLUSIONS: The gaps between the demand and supply projections indicate the need to augment the workforce in addition to the steps currently taken to recruit nursing staff and increase the number of training institutions for nurses. The relatively simple supply prediction models, which are based on available sources of information that can be easily revised, will make it possible to monitor and update projections regularly over time. The models developed in this study should help the process of long-term strategic planning for the number of nurses in Israel. BioMed Central 2015-12-15 /pmc/articles/PMC4678531/ /pubmed/26673989 http://dx.doi.org/10.1186/s13584-015-0043-6 Text en © Nirel et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Original Research Article Nirel, Nurit Grinstien-Cohen, Orli Eyal, Yonatan Samuel, Hadar Ben-Shoham, Assaf Models for projecting supply and demand for nurses in Israel |
title | Models for projecting supply and demand for nurses in Israel |
title_full | Models for projecting supply and demand for nurses in Israel |
title_fullStr | Models for projecting supply and demand for nurses in Israel |
title_full_unstemmed | Models for projecting supply and demand for nurses in Israel |
title_short | Models for projecting supply and demand for nurses in Israel |
title_sort | models for projecting supply and demand for nurses in israel |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4678531/ https://www.ncbi.nlm.nih.gov/pubmed/26673989 http://dx.doi.org/10.1186/s13584-015-0043-6 |
work_keys_str_mv | AT nirelnurit modelsforprojectingsupplyanddemandfornursesinisrael AT grinstiencohenorli modelsforprojectingsupplyanddemandfornursesinisrael AT eyalyonatan modelsforprojectingsupplyanddemandfornursesinisrael AT samuelhadar modelsforprojectingsupplyanddemandfornursesinisrael AT benshohamassaf modelsforprojectingsupplyanddemandfornursesinisrael |