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Impacts of unit‐level nurse practice environment and burnout on nurse‐reported outcomes: a multilevel modelling approach

2010· article· en· W2118042464 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Clinical Nursing · 2010
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsUniversity of TorontoRoyal Bank of Canada
Fundersnot available
KeywordsBurnoutNursingJob satisfactionMultilevel modelUnit (ring theory)Acute careQuality (philosophy)Emotional exhaustionPsychologyMedicineHealth careClinical psychologySocial psychology

Abstract

fetched live from OpenAlex

AIM: To investigate impacts of practice environment factors and burnout at the nursing unit level on job outcomes and nurse-assessed quality of care in acute hospital nurses. BACKGROUND: Prior research has consistently demonstrated correlations between nurse practice environments and nurses' job satisfaction and health at work, but somewhat less evidence connects practice environments with patient outcomes. The relationship has also been more extensively documented using hospital-wide measures of environments as opposed to measures at the nursing unit level. DESIGN: Survey. METHOD: Data from a sample of 546 staff nurses from 42 units in four Belgian hospitals were analysed using a two-level (nursing unit and nurse) random intercept model. Linear and generalised linear mixed effects models were fitted including nurse practice environment dimensions measured with the Revised Nursing Work Index and burnout dimensions of the Maslach Burnout Inventory as independent variables and job outcome and nurse-assessed quality of care variables as dependent variables. RESULTS: Significant unit-level associations were found between nurse practice environment and burnout dimensions and job satisfaction, turnover intentions and nurse-reported quality of care. Emotional exhaustion is a predictor of job satisfaction, nurse turnover intentions and assessed quality of care as well besides various nurse work practice environment dimensions. Nurses 'ratings of unit-level management and hospital-level management and organisational support had effects in opposite directions on assessments of quality of care at the unit; this suggests that nurses' perceptions of conditions on their nursing units relative to their perceptions of their institutions at large are potentially influential in their overall job experience. CONCLUSION: Nursing unit variation of the nurse practice environment and feelings of burnout predicts job outcome and nurse-reported quality of care variables. RELEVANCE TO CLINICAL PRACTICE: The team and environmental contexts of nursing practice play critical roles in the recruitment and retention of nurses, and as well as in the quality of care delivered. Widespread burnout as a nursing unit characteristic, reflecting a response to chronic organisational stressors, merits special attention from staff nurses, physicians, managers and leaders.

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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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.864
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.115
GPT teacher head0.441
Teacher spread0.326 · 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