Evidence map›Paper›PMID 41477676›Full record

ArticleJournal of nursing management2025

Factors Contributing to the Intention to Leave Among Nursing Home Staff in Singapore: A Cross-Sectional Study.

Hongli Sam Goh, Swee Jek Sim, Mun Leong Tang, M Kamala Devi

Abstract read
In one paragraph

Article in Journal of nursing management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Hongli Sam GohSt. Andrew's Mission Hospital, Singapore.ORCID 0000-0002-1370-4029
Swee Jek SimGraduate School, Charisma University, Grace Bay, Turks and Caicos Islands.ORCID 0009-0009-1145-8280
Mun Leong TangGraduate School, Charisma University, Grace Bay, Turks and Caicos Islands.ORCID 0009-0000-1321-3556
M Kamala DeviSchool of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, UK, gla.ac.uk.ORCID 0000-0001-5624-9516

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Nursing home staff turnover remains a concern in long-term care facilities, with implications for job performance, organisational morale and patient outcomes. This study explored the factors influencing intention to leave among nursing home care staff in Singapore and focused on the influence of demographic variables, work environment and job satisfaction. Methods: A cross-sectional survey was employed to collect data from 167 care staff working at two nursing homes in Singapore. Instruments included the Practice Environment Scale of the Nursing Work Index (PES-NWI), Job Satisfaction Survey (JSS) and Intention to Leave Scale (ILS). Data were analysed using descriptive and inferential statistics, including hierarchical multiple regression, to examine relationships between demographic characteristics, work environment, job satisfaction and intention to leave. Results: The study found a moderate overall intention to leave (mean ILS = 9.18, SD = 2.494). Female staff, mid-career professionals (aged 30-39) and nursing aides exhibited the highest turnover intentions. Job satisfaction, particularly in terms of managerial support and staffing adequacy, emerged as a significant predictor of intention to leave. Work environment factors, especially staffing and resource adequacy, are crucial in turnover intentions. Discussion: This study highlights key factors driving turnover intentions among nursing home care staff in Singapore. Interventions to mitigate turnover and improve staff retention are recommended to improve staffing levels, managerial support and career development pathways.

Indexed as

IntentionPersonnel TurnoverAdultCross-Sectional StudiesFemaleHumansJob SatisfactionMaleMiddle AgedNursing HomesSingaporeSurveys and QuestionnairesWorkplacehealthcarehuman resource managementnursesnursing homeretentionstaff attrition

Identifiers

PMID41477676
PMCPMC12748931

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.