Evidence map›Paper›PMID 40109900›Full record

ArticleInternational journal of nursing studies advances2025

Assessing factors associated with nurses leaving the profession: A secondary analysis of cross-sectional data.

Björn Lantz, Carina Fagefors

Abstract read
In one paragraph

Article in International journal of nursing studies advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

2 authors.

Björn LantzTechnology Management and Economics, Chalmers University of Technology, Gothenburg, Sweden.
Carina FageforsTechnology Management and Economics, Chalmers University of Technology, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nurse turnover is a global challenge affecting workforce stability, financial sustainability of healthcare systems, and the quality of care. Despite extensive research, a limited number of researchers have explored the actual reasons behind nurses leaving the profession as opposed to leaving their job, particularly in relation to demographic variables. Objective: We aimed to explore how demographic factors-age, sex, and work area-influenced nurses' experiences of key turnover factors, providing insights to inform tailored retention strategies. Design: Secondary cross-sectional analysis of national survey data. Settings: Data were collected by Statistics Sweden through a mail survey. Participants: The sample consisted of 2,860 individuals with nursing qualifications who had left the profession between 2005 and 2013 and responded to a 2016 survey. Methods: The analysis involved exploratory factor analysis and structural equation modeling to identify and examine five latent factors contributing to nurses leaving the profession. The researchers assessed the impact of demographic variables on these factors. Results: Five primary factors were identified: compensation and fairness, psychosocial work environment, career development constraints, non-clinical workload, and support and safety. Younger nurses and those outside primary care reported greater dissatisfaction across multiple factors, while female nurses faced heightened psychosocial strain. Work area differences also influenced perceptions of support and workload. Conclusions: We have underscored the significant role of demographic variables associated with leaving the nursing profession. Tailored interventions, such as structured mentorship for younger nurses, family-supportive policies for female nurses, and workload optimization in high-stress areas, may be helpful. The results are limited by the age of the data, which predates recent healthcare shifts, emphasizing the importance of regular workforce monitoring. Registration: Not registered.

Indexed as

Nurse retentionNurse staffNurse turnoverSweden

Identifiers

PMID40109900
PMCPMC11919587

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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.