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Record W7132996805

Organizational Citizenship Behaviours: A Relational Perspective on the Critical Care Nursing Workforce to Patient Safety and Quality Care

2020· dissertation· W7132996805 on OpenAlexaboutno aff
Janice Feather

Bibliographic record

VenueTSpace · 2020
Typedissertation
Language
FieldHealth Professions
TopicPatient Safety and Medication Errors
Canadian institutionsnot available
Fundersnot available
KeywordsPatient safetyWorkforceContext (archaeology)Qualitative researchOrganizational citizenship behaviorAcute careSocial exchange theoryQuality managementPerspective (graphical)
DOInot available

Abstract

fetched live from OpenAlex

One underrecognized essential component of highly reliable safety performance is the adaptive capacity and engagement of the front-line nursing workforce. Findings from a review of the literature revealed (a) conflicting evidence between studies creating a lack of consensus as to the nature and influence of nurses’ workplace behaviours on patient safety outcomes, (b) a gap in understanding nurses’ workplace behaviours in the context of high reliability settings, and (c) a lack of evidence on the Organizational Citizenship Behaviours (OCB) of nurses in critical care settings. Thus, this study explored the social functioning of relational work environments and workplace behaviours of Registered Nurses (RN) in critical care settings that promote safe patient outcomes and high quality care. This study was conducted using a sequential explanatory mixed methods design (Teddlie Tashakkori, 2009). The quantitative portion of the study included administration of a survey distributed to critical care nurses in Ontario with a response rate of 29.3% (N = 508) and administrative patient outcome data. The qualitative portion of the study included individual interviews with a random sample of seven nurses and six nurse leaders. Multivariable regression exploring linear, non-linear, multi-level, moderation, and mediation relationships was conducted and triangulated with qualitative findings. The study found that co-worker exchange relationships were the strongest relational work environment variable in predicting nurses’ workplace behaviours. Nurses frequently engaged in OCB for the benefit of co-workers and patients/families. At the individual-level, nurses’ OCB was associated with decreased self-reported medication errors ( = -0.07, p = 0.007), missed care ( = -0.16, p = 0.001), and increased nurse-perceived quality of care ( = 0.28, p = 0.01). Safety organizing behaviour (SOB) based on high reliability practices accounted for 57.3% of the total mediation effect between OCB and medication errors. Nurses’ organizational identification was influenced by the interprofessional teamwork climate ( = 0.23, p = 0.001) and SOB ( = 0.29, p = 0.001). Results from this study provide nurses, leaders, and researcher insights into the importance of the relational environment in critical care that contribute to highly reliable, safe, and high quality care through engagement in workplace behaviours.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.012
Scholarly communication0.0060.005
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.143
GPT teacher head0.490
Teacher spread0.347 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2020
Admission routes1
Has abstractyes

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