Evidence map›Paper›PMID 40575523›Full record

ArticleJournal of education and health promotion2025

Exploring the reasons and significant influencing factors of serious turnover intentions among nurses in Saudi Arabia.

Zyad T Saleh, Aziz Aslanoğlu, Rami A Elshatarat, Majed S Al-Za'areer, Wesam T Almagharbeh, Asim A Alhejaili, Bandar Naffaa Alhumaidi, Hekmat Y Al-Akash, Muwafaq M Al-Momani, Hazem A Alfanash and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of education and health promotion, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

11 authors.

Zyad T SalehDepartment of Clinical Nursing, School of Nursing, The University of Jordan, Amman, Jordan.
Aziz AslanoğluDepartment of Nursing, Vision College, Riyadh, Saudi Arabia.
Rami A ElshataratCollege of Nursing, Taibah University, Madinah, Saudi Arabia.
Majed S Al-Za'areerDepartment of Nursing Management and Education, College of Health Science and Nursing, Al-Rayan Colleges, Madinah, Saudi Arabia.
Wesam T AlmagharbehMedical Surgical Nursing Department, Faculty of Nursing, University of Tabuk, Tabuk, Saudi Arabia.
Asim A AlhejailiCollege of Nursing, Taibah University, Madinah, Saudi Arabia.
Bandar Naffaa AlhumaidiCollege of Nursing, Taibah University, Madinah, Saudi Arabia.
Hekmat Y Al-AkashNursing Department, Nursing College, Applied Science Private University, Amman, Jordan.
Muwafaq M Al-MomaniDepartment of Nursing, Higher Colleges of Technology, Ras Al-Khaimah, United Arab Emirates.
Hazem A AlfanashMedical Surgical Nursing Department, Faculty of Nursing, University of Tabuk, Tabuk, Saudi Arabia.
Amal Ali AlasmariMedical Surgical Nursing Department, Faculty of Nursing, University of Tabuk, Tabuk, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNursing turnover is a significant concern in healthcare systems. This study aimed to explore the influencing factors of nurses' turnover in Saudi Arabia. MATERIALS AND

methodsThis cross-sectional study was conducted between August 2023 and December 2023 at various hospitals in Saudi Arabia. A total of 397 nurses were enrolled using the convenience sampling method. Data on turnover intentions were collected through a structured questionnaire designed to capture various factors influencing nurses' decisions to leave their current positions. The questionnaire included items on demographics, work environment, job satisfaction, and potential reasons for turnover. Statistical analyses in SPSS included descriptive statistics, Chi-square tests, and multiple logistic regression to identify and predict factors influencing serious turnover intentions.

resultsA significant proportion expressed their intention to leave their current hospital with 38.6% contemplated leaving. Notably, 53.7% intended to turnover, with 18.4% seriously considering it. Non-Saudi nurses were more inclined to cite excessive workload and poor management. Predictors of serious turnover intentions included non-Saudi nationality, lower salary, shorter experience as a registered nurse, and working in critical care. Dissatisfaction with salary, organizational communication, and lack of recognition also contributed.

conclusionThe study emphasizes the need for targeted interventions to address factors driving nurse turnover in Saudi Arabia. Health policymakers and managers should improve salary structures and managerial support to reduce turnover intentions. Implementing these measures will not only improve job satisfaction among nurses but also ensure a more stable and effective healthcare workforce, ultimately leading to better patient care and outcomes.

Indexed as

Employee retentionjob satisfactionnursesorganizational culturepersonnel turnoverSaudi Arabia

Identifiers

PMID40575523
PMCPMC12200021

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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.