Evidence map›Paper›PMID 41902794›Full record

ArticleJournal of nursing management2026

Workplace Barriers to Nursing Autonomy in Saudi Hospitals: Implications for Management and Policy Under Vision 2030.

Ibrahim Naif Alenezi

Abstract read
In one paragraph

Article in Journal of nursing management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 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

1 author.

Ibrahim Naif AleneziPublic Health Nursing Department, College of Nursing, Northern Border University, Arar, Saudi Arabia, nbu.edu.sa.ORCID https://orcid.org/0000-0003-2744-8465

Funding

Northern Border University NBU-FPEJ-2026-1626-01
6 · The paper itself

Abstract

aimThis study explored how nurses perceive and navigate professional autonomy in Saudi hospital settings, with particular attention to the organisational and cultural barriers that shape autonomous practice.

backgroundVision 2030 provides the strategic framework for transforming healthcare systems in Saudi Arabia, placing nursing autonomy at the centre of efforts to deliver safe, patient-centred care. Nursing autonomy influences clinical decision-making, job satisfaction and workforce retention.

methodsA qualitative descriptive design was employed across two referral hospitals in northern Saudi Arabia. Purposive sampling was used to recruit staff nurses and nurse managers with direct experience of clinical autonomy in practice. Twenty-four semistructured interviews were conducted in Arabic with staff nurses (n = 16) and nurse managers (n = 8). Data were analysed using Braun and Clarke's reflexive thematic analysis.

resultsThree themes were constructed through analysis: (1) structured dependency, reflecting how hierarchical systems restrict independent decision-making; (2) navigating interprofessional dynamics, addressing collaborative practice and role negotiation and (3) communication and professional identity, capturing how nurses' sense of agency is shaped by confidence, visibility and perceived professional status. DISCUSSION: The findings indicate that nursing autonomy is variably supported and is shaped by the interplay of hierarchical structures, interprofessional dynamics and communication-based professional identity work.

conclusionsA substantive misalignment exists between the strategic aims of Vision 2030 and nurses' day-to-day experiences of hierarchical control and structured dependency. Addressing this gap requires targeted interventions, including leadership development and sustained institutional commitment to shared governance models.

Indexed as

Professional AutonomyWorkplaceAdultAttitude of Health PersonnelFemaleHumansJob SatisfactionMaleQualitative ResearchSaudi Arabiahealthcare reforminterprofessional collaborationnursing autonomyqualitative researchSaudi ArabiaVision 2030

Identifiers

PMID41902794
PMCPMC13140910

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.