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Record W4406620823 · doi:10.52609/jmlph.v5i2.153

Psychological Safety in Saudi Arabian Healthcare: A Scoping Review

2025· review· en· W4406620823 on OpenAlexvenueno aff
Yumna Ali, Ahmed M. Asfahani, Mark Leonard, Yasuhiro Kotera

Bibliographic record

VenueThe Journal of Medicine Law & Public Health · 2025
Typereview
Languageen
FieldPsychology
TopicHealth and Well-being Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHealth carePatient safetyPsychologyMedicineApplied psychologyNursingPolitical science

Abstract

fetched live from OpenAlex

Background: Psychological safety arises from the knowledge that one will not be penalised for speaking one’s mind, sharing concerns, or admitting mistakes. There is a dearth of studies in the Saudi Arabian context on the subject of mindfulness-based interventions to improve psychological safety in the workplace.Objectives: This study aims to investigate psychological safety in the Saudi Arabian healthcare sector, with the goal of promoting mindfulness-based interventions for healthcare workers. Presently, there are no formal training programs in Saudi Arabia for the healthcare workforce; essentially, the concept of mindfulness-based organisational education has yet to reach the attention of human resource managers in this sector. Our aim, therefore, is to raise awareness of the potential for novel intervention programs to improve psychological safety.Methods: The review follows the Arksey and O'Malley (2005) method, using the Preferred Reporting Items for Systematic Reviews. The aim of a scoping review is to detect potential research gaps. Presently, mindfulness-based programs relating to psychological safety are under-researched in the Saudi Arabian context, and a scoping review is a preliminary requirement before a formal systematic review is conducted.Results: Our findings indicate that healthcare workers do perceive barriers to psychological safety in the workplace, suggesting a need for training interventions that may help improve this situation.Conclusion: Saudi Arabian healthcare settings require further interventions, in line with Saudi Vision 2030, to improve workplace effectiveness and increase psychological safety among healthcare workers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.039
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.740
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0390.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.190
GPT teacher head0.524
Teacher spread0.334 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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