Single Room Maternity Care: The Nursing Response
Bibliographic record
Abstract
BACKGROUND: The introduction of single room maternity care in the 1990s necessitated a new approach to nursing education and practice. A focus on perinatal nursing requires competence across the spectrum of labor, delivery, postpartum and newborn care. We sought to evaluate the nursing response to this change by comparing satisfaction with the workplace environment among single room maternity care nurses before and after they worked in the setting and among nurses working in traditional birth settings. METHODS: Six months before the opening of a pilot seven-bed single room maternity care unit, nurses who planned to work in the new unit completed a survey about their satisfaction with aspects of their work environment. Three months after the new unit opened the survey was repeated with this study group and also by a sample of nurses working in the delivery and postpartum areas. RESULTS: Responses indicated that single room maternity care nurses before and after working in the unit were significantly more satisfied with the physical setting, their ability to respond to patients' needs, their opportunity for teaching families, the nursing practice environment, peer support, and their perceived level of competency. They rated their satisfaction significantly higher than that of their colleagues in the traditional delivery and postpartum settings. CONCLUSIONS: The positive transition to single room maternity care by obstetrical nurses was demonstrated by their improved overall satisfaction with the work environment. Evaluation of the nurses' responses to changes in health care delivery has important implications for justifying new clinical approaches and planning for future changes.
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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 | 0.007 | 0.052 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".