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Record W2605370556

The Influence of Transformational Leadership on Nurse-reported Patient Safety Outcomes

2017· article· en· W2605370556 on OpenAlexaboutno aff
Sheila A. Boamah

Bibliographic record

VenueScholarship@Western (Western University) · 2017
Typearticle
Languageen
FieldHealth Professions
TopicPatient Safety and Medication Errors
Canadian institutionsnot available
Fundersnot available
KeywordsTransformational leadershipPatient safetyNursingPsychologyMedicineBusinessPublic relationsSocial psychologyHealth carePolitical science
DOInot available

Abstract

fetched live from OpenAlex

Leadership is widely believed to be pivotal to providing high quality patient care and ensuring favourable organizational outcomes. To understand how nursing leadership affects patient outcomes, it is important to explore the mechanisms/ processes through which leaders produce desired patient outcomes. The purpose of this study was to examine how nurse manager use of transformational leadership behaviours creates empowering work environments that foster clinical leadership practices at the bedside, and ultimately, improve nurse and patient safety outcomes.\nBass’s (1985) transformational leadership theory provided the theoretical framework for the research. Transformational leadership behaviour was hypothesized to have positive effects on workplace empowerment and staff nurse clinical leadership and, in turn, lead to job satisfaction and lower frequency of adverse patient outcomes.\nA non-experimental cross-sectional design involving survey data was used to test the hypothesized model in a random sample of Registered Nurses (n = 1,000) working in acute care hospitals in Ontario, Canada. Participants received a mail survey package that included a letter of information, study questionnaire, pre-paid envelope and a link to an online survey option. To optimize response rates non-responders received a reminder letter four weeks after the initial mailing, followed by a second survey four weeks later. Descriptive statistics and scale reliabilities were analyzed. Using structural equation modeling with maximum likelihood estimation in Mplus, the final model fit the data acceptably: χ2 = 959.309, df = 428, p = .001, CFI = .915, TLI = .908, RMSEA = .052, SRMR = .053. Transformational leadership was significantly associated with decreased adverse patient outcomes and increased job satisfaction through structural empowerment and staff nurse clinical leadership behaviours.\nThe findings provided support for the theoretical relationships between transformational leadership and nurse and patient safety outcomes. The results of this research indicate that a more complete understanding of what drives desired patient outcomes may need to include a focus on how to empower nurses and foster clinical leadership practices at the point of care. By creating empowering work environments, transformational leaders are providing opportunities for nurses to discover innovative approaches to do their work, which could lead to higher levels of satisfaction and quality care.\nThese findings provide contributions to the burgeoning literature on transformational leadership and its influence on nursing work environment and patient safety outcomes. The evidence from this research supports extending transformational leadership theory to incorporate structural empowerment and clinical leadership as mediators in the relationship between transformational leadership and nurse and patient outcomes. Findings from the research can be used to create theory-based strategies to enhance professional development of managers and inform policies to transform the work environments of nurses.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.265
GPT teacher head0.429
Teacher spread0.163 · 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 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

Citations27
Published2017
Admission routes1
Has abstractyes

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