Nursing home managers’ quality of work life and health outcomes: a pre-pandemic profile over time
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.
Bibliographic record
Abstract
AIM: To examine trends in quality of work life and health outcomes of managers in nursing homes in Western Canada pre-pandemic. METHODS: A repeated cross-sectional descriptive study using data collected in 2014-2015, 2017 and 2019-2020, in the Translating Research in Elder Care Programme. Self-reported measures of demographics, physical/mental health and quality of work life (eg, job satisfaction, burnout, work engagement) were administered and completed by nursing home managers. We used two-way analysis of variance to compare scores across times, controlling for clustering effects at the nursing home level. RESULTS: Samples for data collection times 1, 2, 3, respectively, were 168, 193 and 199. Most nursing home managers were nurses by profession (80.63-81.82%). Job satisfaction scores were high across time (mean=4.42-4.48). The physical (mean=51.53-52.27) and mental (mean=51.66-52.13) status scores were stable over time. Workplace engagement (vigour, dedication and absorption) scores were high and stable over time in all three dimensions. CONCLUSIONS: Nursing home managers were highly satisfied, had high levels of physical and mental health, and generally reported that their work was meaningful over time pre-COVID-19 pandemic. We provided a comparison for future research assessing the impacts of the pandemic on quality of work life and health outcomes.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it