Voices from the Trenches: Nurses' Experiences of Hospital Restructuring in Ontario
Bibliographic record
Abstract
Nurses, the largest occupational group in health care, have been disproportionately affected by health care restructuring initiatives. A survey of registered nurses in Ontario was conducted in the fall of 1998 to examine factors influencing their work life quality in hospital settings. As a part of this survey, respondents were provided with an opportunity to share their concerns about work conditions in an open ended section of the questionnaire. Almost sixty percent of the nurses chose to respond to the open ended question (n = 230), divided equally between males and females. The purpose of the qualitative component of the study was to obtain a more in depth analysis of the effects of hospital restructuring initiatives on staff nurses' working conditions. All geographic areas of the province were represented in the responses. A content analysis of the data was conducted to determine major themes. Similar themes were found across all geographic areas. The four major categories of concerns that emerged from the qualitative analysis were quality of worklife, quality of patient care, relations with management, and cumulative impact of work conditions on feelings and attitudes. Nurses' perceptions of their quality of work life, concern for the quality of patient care and their emotional and attitudinal responses were very similar to those reported in a recent study of hospital staff nurses in the United States. The decade of the 1990's has been characterized as one of constant change bordering on chaos within the health care system in Canada and the United States. In Canada, government fiscal policies have resulted in less money being directed toward health care forcing the system to reorganize in order to meet new financial realities. Many of the organizing efforts have been directed toward the acute care sector of the health care system. Nurses, as the largest occupational group within the health care system, have been disproportionately affected by these efforts. The purpose of this study was to tap nurses concerns about the effects of these changes on their personal and work experiences.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.034 | 0.012 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".