The impact of 12-hour shifts on nurses’ health, wellbeing, and job satisfaction: A systematic review
Bibliographic record
Abstract
Objective: This review was conducted to investigate the impact of applying 12-hour shifts in comparison to 8-hour shifts on nurses’ health wellbeing and job satisfaction.Methods: MEDLINE, CINHALE, PsycINFO, EMBASE, Web of Science, and SCOPUS databases were searched, covering the period between 1980 to 2017. Studies were included if they concerned nurses working for 12-hour shifts in comparison to 8-hour shifts in hospital settings, based on observational/surveys studies.Results: In the yielded 12 studies, 3 studies reported that 12-hour shifts had an impact on nurses’ health and wellbeing, such as cognitive anxiety, musculo-skeletal disorders, sleep disturbance, and role stress; however, there was no significant difference between 12- and 8-hour shifts with digestive and cardiovascular disorders, psychological ill health, and somatic anxiety. Of the 4 studies measuring the impact of 12-hour shifts on fatigue, three studies showed that the nurses experienced more fatigue in the 12-hour shifts in comparison to 8-hour shifts; nevertheless, one study did not find a significant difference in fatigue and critical thinking performances between 12- and 8-hour shifts. Nine of the 12 studies measured job satisfaction in 12- and 8-hour shifts, 5 studies showed a greater dissatisfaction regarding 12-hour shifts, while 3 studies found that the nurses were more satisfied with 12-hour shifts than with 8-hour shifts; but one study pointed out that there was a difference between the two shifts considering pay and professional status.Conclusions: The findings of the review suggest that 12-hour shifts resulted in negative health concerns and job dissatisfaction; however, there is a need for more empirical evidence to support this.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".