Employer-Provided Support Services and Job Dissatisfaction in Canadian Registered Nurses
Bibliographic record
Abstract
BACKGROUND: Previous research indicates that nurses' job dissatisfaction relates to their work organization and environment; rarely has the contribution of employer-provided support services been examined while controlling for the influence of other factors. OBJECTIVE: The objective of this study was to examine job dissatisfaction among Canadian registered nurses in relation to employer-provided programs for child care and fitness or recreation. METHODS: Data are from 2,993 respondents to the 2005 National Survey of the Work and Health of Nurses, weighted to represent Canada's 91,600 registered nurses in full-time, permanent positions who deliver direct care in hospitals or long-term care facilities. Multivariate modeling was used to examine job dissatisfaction in relation to employer-provided support programs, controlling for personal characteristics and variables reflecting work organization and the work environment. RESULTS: Employer-provided child care assistance programs were available to 16% of nurses, and fitness or recreation programs were available to 38%. An estimated 13% of nurses were dissatisfied with their jobs. Even when controlling for personal characteristics, overtime, shift work, shift length, weekly hours, overload, staffing inadequacy, autonomy, nurse-physician relations, and coworker respect, inverse associations with job dissatisfaction emerged for employer-supported child care (odds ratio = 0.49, 95% confidence interval = 0.27-0.88) and fitness programs (odds ratio = 0.65, 95% confidence interval = 0.42-0.99). DISCUSSION: This study provides new information suggesting that employer-provided support programs are protective against nurses' job dissatisfaction. This is a key finding in view of nursing shortages and the importance of job satisfaction to retention.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".