Evidence map›Paper›PMID 28891258›Full record

ArticleJournal of nursing management2017

A scoping review of nursing workforce planning and forecasting research.

Allison Squires, Virpi Jylhä, Jin Jun, Anneli Ensio, Juha Kinnunen

Abstract readScoping Review
In one paragraph

Article in Journal of nursing management, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Allison SquiresRory Meyers College of Nursing, New York University, New York, NY, USA.ORCID http://orcid.org/0000-0002-5238-2122
Virpi JylhäThe Nursing Research Foundation and The Finnish Centre for Evidence-Based Health Care: A Joanna Briggs Institute Centre of Excellence, Helsinki, Finland.
Jin JunRory Meyers College of Nursing, New York University, New York, NY, USA.
Anneli EnsioDepartment of Social and Health Management, University of Eastern Finland, Kuopio, Finland.
Juha KinnunenDepartment of Social and Health Management, University of Eastern Finland, Kuopio, Finland.

Funding

Pilot Projects/Mt. SinaiT42OH008422 · OH · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI MEYER, JOHN D · 2005 to 2025
$28.6M
ADVANCED TRAINING IN NURSING OUTCOMES RESEARCHT32NR007104 · NINR · UNIVERSITY OF PENNSYLVANIA · PI JACQUELINE MARGO BROOKS CARTHON, EILEEN T LAKE · 1999 to 2026
$11.6M
Research Facilitation CoreP30NR005043 · NINR · UNIVERSITY OF PENNSYLVANIA · PI AIKEN, LINDA H · 2000 to 2010
$4.5M
NINR NIH HHS P30 NR005043NINR NIH HHS T32 NR007104
6 · The paper itself

Abstract

aimThis 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.

backgroundAlthough 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.

methodA 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.

resultsThirty 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.

conclusionCurrent 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.

Indexed as

Health WorkforceForecastingHumansNursing StaffPersonnel Selectionhuman resources for healthnursesscoping reviewworkforce forecasting

Identifiers

PMID28891258
PMCPMC12266309

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.