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Record W2942382920 · doi:10.5539/gjhs.v11n6p25

Transformational Leadership Style on Nursing Job Satisfaction Amongst Nurses in Hospital Settings: Findings From Systematic Review

2019· article· en· W2942382920 on OpenAlexvenueno aff
Saleh Mousa Alzahrani, Abd Alhadi Hasan

Bibliographic record

VenueGlobal Journal of Health Science · 2019
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsnot available
Fundersnot available
KeywordsTransformational leadershipNursingJob satisfactionLeadership styleExpatriateNursing shortageWorkforceTransactional leadershipPsychologyMedicineNurse educationSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: The nursing shortage is a common problem in Saudi Arabia with multi-factorial causes. In addition to the low supply of Saudi graduate nurses from training facilities, job satisfaction remains a significant determinant of nurse turnover and intention to leave that contribute to the shortage of nursing workforce. The higher number of expatriate nurses who have a short stay compared to Saudi nurses compounds this problem. Therefore, effective strategies for making the nursing profession attractive and increasing nurse retention in Saudi Arabia are required. OBJECTIVE: The general objective was to examine the impact of transformational leadership style on job satisfaction amongst nurses in hospital settings. Specifically, the appraisal examined how transformational leadership style improves nursing job satisfaction in hospital settings, determined the mediating factors of the relationship between transformational leadership style and nurses’ job satisfaction, and investigated nurses’ perceptions of transformational leadership style compared with other leadership styles. METHODOLOGY: This study was used systematic review design with eight selected quantitative nursing research published between 2012 and 2017. A systematic search of the recent literature was conducted on PubMed, Scopus, Wiley Online, and Web of Science databases using search terms developed a priori to identify the articles that met the inclusion criteria. The quality of the included studies was evaluated by McMaster Critical Review Form for Quantitative Studies. Extracted data were summarised, explored and correlated using narrative synthesis. FINDINGS: Eight studies of cross-sectional design were appraised. Transformational leadership style was positively related to nurses’ job satisfaction. Transactional leadership also had a positive correlation while passive-avoidant or laissez-faire style had a negative relationship. Transformational leadership improved nursing job satisfaction through its dimensions (idealised influence, inspirational motivation, intellectual stimulation and individualised consideration). Nurse empowerment and workplace support mediated the relationship between transformational leadership and nurse job satisfaction. Nurses had a higher perception of transformational style compared to other leadership styles, and job satisfaction was found to improve nurse and patient outcomes. CONCLUSION: Transformational leadership appears to improve job satisfaction of nurses working in a hospital setting that leads to higher nursing retention. Hospital administrators and managers should practice transformational leadership to improve job satisfaction of staff nurses for better nursing outcomes, and leadership skills should be incorporated in the nursing education curriculum. However, further evaluation of transformational leadership in relation to its influencing factors is required.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score0.525

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.336
Teacher spread0.314 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations22
Published2019
Admission routes1
Has abstractyes

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