A scoping review of nursing workforce planning and forecasting research
Aim This study will critically evaluate forecasting models and their content in workforce planning policies for nursing professionals and to highlight the strengths and the weaknesses of existing approaches. Background Although macro‐level nursing workforce issues may not be the first thing that man...
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Veröffentlicht in: | Journal of nursing management 2017-11, Vol.25 (8), p.587-596 |
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container_title | Journal of nursing management |
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creator | Squires, Allison Jylhä, Virpi Jun, Jin Ensio, Anneli Kinnunen, Juha |
description | Aim
This study will critically evaluate forecasting models and their content in workforce planning policies for nursing professionals and to highlight the strengths and the weaknesses of existing approaches.
Background
Although macro‐level nursing workforce issues may not be the first thing that many nurse managers consider in daily operations, the current and impending nursing shortage in many countries makes nursing specific models for workforce forecasting important.
Method
A scoping review was conducted using a directed and summative content analysis approach to capture supply and demand analytic methods of nurse workforce planning and forecasting. The literature on nurse workforce forecasting studies published in peer‐reviewed journals as well as in grey literature was included in the scoping review.
Results
Thirty six studies met the inclusion criteria, with the majority coming from the USA. Forecasting methods were biased towards service utilization analyses and were not consistent across studies.
Conclusion
Current methods for nurse workforce forecasting are inconsistent and have not accounted sufficiently for socioeconomic and political factors that can influence workforce projections. Additional studies examining past trends are needed to improve future modelling.
Implications for nursing management
Accurate nursing workforce forecasting can help nurse managers, administrators and policy makers to understand the supply and demand of the workforce to prepare and maintain an adequate and competent current and future workforce. |
doi_str_mv | 10.1111/jonm.12510 |
format | Article |
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This study will critically evaluate forecasting models and their content in workforce planning policies for nursing professionals and to highlight the strengths and the weaknesses of existing approaches.
Background
Although macro‐level nursing workforce issues may not be the first thing that many nurse managers consider in daily operations, the current and impending nursing shortage in many countries makes nursing specific models for workforce forecasting important.
Method
A scoping review was conducted using a directed and summative content analysis approach to capture supply and demand analytic methods of nurse workforce planning and forecasting. The literature on nurse workforce forecasting studies published in peer‐reviewed journals as well as in grey literature was included in the scoping review.
Results
Thirty six studies met the inclusion criteria, with the majority coming from the USA. Forecasting methods were biased towards service utilization analyses and were not consistent across studies.
Conclusion
Current methods for nurse workforce forecasting are inconsistent and have not accounted sufficiently for socioeconomic and political factors that can influence workforce projections. Additional studies examining past trends are needed to improve future modelling.
Implications for nursing management
Accurate nursing workforce forecasting can help nurse managers, administrators and policy makers to understand the supply and demand of the workforce to prepare and maintain an adequate and competent current and future workforce.</description><identifier>ISSN: 0966-0429</identifier><identifier>ISSN: 1365-2834</identifier><identifier>EISSN: 1365-2834</identifier><identifier>DOI: 10.1111/jonm.12510</identifier><identifier>PMID: 28891258</identifier><language>eng</language><publisher>England: Hindawi Limited</publisher><subject>Accuracy ; Bias ; Competence ; Content analysis ; Forecasting ; Forecasting - methods ; Forecasting techniques ; Health Workforce ; human resources for health ; Humans ; Impending ; Labor force ; Labor shortages ; Nurse managers ; nurses ; Nursing ; Nursing administration ; Nursing Staff - supply & distribution ; Personnel Selection - standards ; Policy making ; Political factors ; Projections ; scoping review ; Supply & demand ; Workforce ; workforce forecasting ; Workforce planning</subject><ispartof>Journal of nursing management, 2017-11, Vol.25 (8), p.587-596</ispartof><rights>2017 John Wiley & Sons Ltd</rights><rights>2017 John Wiley & Sons Ltd.</rights><rights>Copyright © 2017 John Wiley & Sons Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3930-886f7aca6d31c9854abf1efbd2ddb73249e2f956b88f44f414e2a64a5284c26e3</citedby><cites>FETCH-LOGICAL-c3930-886f7aca6d31c9854abf1efbd2ddb73249e2f956b88f44f414e2a64a5284c26e3</cites><orcidid>0000-0002-5238-2122</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjonm.12510$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjonm.12510$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,30978,45553,45554</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28891258$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Squires, Allison</creatorcontrib><creatorcontrib>Jylhä, Virpi</creatorcontrib><creatorcontrib>Jun, Jin</creatorcontrib><creatorcontrib>Ensio, Anneli</creatorcontrib><creatorcontrib>Kinnunen, Juha</creatorcontrib><title>A scoping review of nursing workforce planning and forecasting research</title><title>Journal of nursing management</title><addtitle>J Nurs Manag</addtitle><description>Aim
This study will critically evaluate forecasting models and their content in workforce planning policies for nursing professionals and to highlight the strengths and the weaknesses of existing approaches.
Background
Although macro‐level nursing workforce issues may not be the first thing that many nurse managers consider in daily operations, the current and impending nursing shortage in many countries makes nursing specific models for workforce forecasting important.
Method
A scoping review was conducted using a directed and summative content analysis approach to capture supply and demand analytic methods of nurse workforce planning and forecasting. The literature on nurse workforce forecasting studies published in peer‐reviewed journals as well as in grey literature was included in the scoping review.
Results
Thirty six studies met the inclusion criteria, with the majority coming from the USA. Forecasting methods were biased towards service utilization analyses and were not consistent across studies.
Conclusion
Current methods for nurse workforce forecasting are inconsistent and have not accounted sufficiently for socioeconomic and political factors that can influence workforce projections. Additional studies examining past trends are needed to improve future modelling.
Implications for nursing management
Accurate nursing workforce forecasting can help nurse managers, administrators and policy makers to understand the supply and demand of the workforce to prepare and maintain an adequate and competent current and future workforce.</description><subject>Accuracy</subject><subject>Bias</subject><subject>Competence</subject><subject>Content analysis</subject><subject>Forecasting</subject><subject>Forecasting - methods</subject><subject>Forecasting techniques</subject><subject>Health Workforce</subject><subject>human resources for health</subject><subject>Humans</subject><subject>Impending</subject><subject>Labor force</subject><subject>Labor shortages</subject><subject>Nurse managers</subject><subject>nurses</subject><subject>Nursing</subject><subject>Nursing administration</subject><subject>Nursing Staff - supply & distribution</subject><subject>Personnel Selection - standards</subject><subject>Policy making</subject><subject>Political factors</subject><subject>Projections</subject><subject>scoping review</subject><subject>Supply & demand</subject><subject>Workforce</subject><subject>workforce forecasting</subject><subject>Workforce planning</subject><issn>0966-0429</issn><issn>1365-2834</issn><issn>1365-2834</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNp9kD1PwzAYhC0EoqWw8ANQJBaElOKvOPaIKiigQheYI8exISWJg91Q9d_jkMLAwLu80um50-kAOEVwisJdrWxTTxFOENwDY0RYEmNO6D4YQ8FYDCkWI3Dk_QpCRDBJDsEIcy6CgY_B_DryyrZl8xo5_VnqTWRN1HTO98rGundjndJRW8mm6SXZFFGQtJJ-PZi8lk69HYMDIyuvT3Z_Al5ub55nd_FiOb-fXS9iRQSBMefMpFJJVhCkBE-ozA3SJi9wUeQpwVRobETCcs4NpYYiqrFkVCaYU4WZJhNwMeS2zn502q-zuvRKV6Gftp3PkCBpyhiFJKDnf9CV7VwT2gWKQcwxRGmgLgdKOeu90yZrXVlLt80QzPp5s37e7HveAJ_tIru81sUv-rNnANAAbMpKb_-Jyh6WT49D6BdDQISe</recordid><startdate>201711</startdate><enddate>201711</enddate><creator>Squires, Allison</creator><creator>Jylhä, Virpi</creator><creator>Jun, Jin</creator><creator>Ensio, Anneli</creator><creator>Kinnunen, Juha</creator><general>Hindawi Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>ASE</scope><scope>FPQ</scope><scope>K6X</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-5238-2122</orcidid></search><sort><creationdate>201711</creationdate><title>A scoping review of nursing workforce planning and forecasting research</title><author>Squires, Allison ; Jylhä, Virpi ; Jun, Jin ; Ensio, Anneli ; Kinnunen, Juha</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3930-886f7aca6d31c9854abf1efbd2ddb73249e2f956b88f44f414e2a64a5284c26e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Accuracy</topic><topic>Bias</topic><topic>Competence</topic><topic>Content analysis</topic><topic>Forecasting</topic><topic>Forecasting - methods</topic><topic>Forecasting techniques</topic><topic>Health Workforce</topic><topic>human resources for health</topic><topic>Humans</topic><topic>Impending</topic><topic>Labor force</topic><topic>Labor shortages</topic><topic>Nurse managers</topic><topic>nurses</topic><topic>Nursing</topic><topic>Nursing administration</topic><topic>Nursing Staff - supply & distribution</topic><topic>Personnel Selection - standards</topic><topic>Policy making</topic><topic>Political factors</topic><topic>Projections</topic><topic>scoping review</topic><topic>Supply & demand</topic><topic>Workforce</topic><topic>workforce forecasting</topic><topic>Workforce planning</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Squires, Allison</creatorcontrib><creatorcontrib>Jylhä, Virpi</creatorcontrib><creatorcontrib>Jun, Jin</creatorcontrib><creatorcontrib>Ensio, Anneli</creatorcontrib><creatorcontrib>Kinnunen, Juha</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>British Nursing Index</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of nursing management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Squires, Allison</au><au>Jylhä, Virpi</au><au>Jun, Jin</au><au>Ensio, Anneli</au><au>Kinnunen, Juha</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A scoping review of nursing workforce planning and forecasting research</atitle><jtitle>Journal of nursing management</jtitle><addtitle>J Nurs Manag</addtitle><date>2017-11</date><risdate>2017</risdate><volume>25</volume><issue>8</issue><spage>587</spage><epage>596</epage><pages>587-596</pages><issn>0966-0429</issn><issn>1365-2834</issn><eissn>1365-2834</eissn><abstract>Aim
This study will critically evaluate forecasting models and their content in workforce planning policies for nursing professionals and to highlight the strengths and the weaknesses of existing approaches.
Background
Although macro‐level nursing workforce issues may not be the first thing that many nurse managers consider in daily operations, the current and impending nursing shortage in many countries makes nursing specific models for workforce forecasting important.
Method
A scoping review was conducted using a directed and summative content analysis approach to capture supply and demand analytic methods of nurse workforce planning and forecasting. The literature on nurse workforce forecasting studies published in peer‐reviewed journals as well as in grey literature was included in the scoping review.
Results
Thirty six studies met the inclusion criteria, with the majority coming from the USA. Forecasting methods were biased towards service utilization analyses and were not consistent across studies.
Conclusion
Current methods for nurse workforce forecasting are inconsistent and have not accounted sufficiently for socioeconomic and political factors that can influence workforce projections. Additional studies examining past trends are needed to improve future modelling.
Implications for nursing management
Accurate nursing workforce forecasting can help nurse managers, administrators and policy makers to understand the supply and demand of the workforce to prepare and maintain an adequate and competent current and future workforce.</abstract><cop>England</cop><pub>Hindawi Limited</pub><pmid>28891258</pmid><doi>10.1111/jonm.12510</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-5238-2122</orcidid><oa>free_for_read</oa></addata></record> |
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source | Applied Social Sciences Index & Abstracts (ASSIA); MEDLINE; Wiley Online Library Journals Frontfile Complete |
subjects | Accuracy Bias Competence Content analysis Forecasting Forecasting - methods Forecasting techniques Health Workforce human resources for health Humans Impending Labor force Labor shortages Nurse managers nurses Nursing Nursing administration Nursing Staff - supply & distribution Personnel Selection - standards Policy making Political factors Projections scoping review Supply & demand Workforce workforce forecasting Workforce planning |
title | A scoping review of nursing workforce planning and forecasting research |
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