Effects of ethical climate in association with tenure on work addiction, quality of care and staff retention: a cross-sectional study
Bibliographic record
Abstract
OBJECTIVES: Work addiction is not contingent on personality alone; it is also impacted by social contextual factors. Work addiction influences the perceived quality of care and intention to remain in healthcare sector. The current study seeks to understand the role of ethical climate as a potential organisational lever to reduce such addiction, especially among newcomers. DESIGN: We contacted a sample of Canadian healthcare organisations to collect quantitative data using an online questionnaire from November 2021 to February 2022. All constructs (ethical climate, work addiction, perceived quality of care, intention to quit the profession) were measured using validated psychometric scales. 860 respondents provided complete questionnaires. We analysed the data using structural equation modelling and regression analysis. RESULTS: Work addiction mediated the indirect relationship between ethical climate and the intention to quit the profession (β=-0.053; 95% CI (-0.083 to -0.029); p<0.001) and with quality of care (β=0.049; 95% CI (0.028, 0.077); p<0.001). For each increase of 1 SD of ethical climate, the total effects regarding the variations in the outcomes were more important at low rather than high levels of tenure for work addiction (-11%, -2%), perceived quality of care (23%, 11%) and intention to quit the profession (-30%, -23%), respectively. CONCLUSION: Ethical climate in healthcare organisations has a significant and beneficial relationship with healthcare workers' (HCWs) work addiction behaviours. In turn, this relationship is related to greater perceived quality of care and higher intention to remain, especially for HCWs with lower tenure.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".