Factors related to childbirth nurses' intentions to provide continuous labour support to women during childbirth
Bibliographic record
Abstract
Purpose. Explore the organizational barriers and examine determinants of nurses' intentions to practice continuous labour support (CLS). Design. Exploratory two-phase study using qualitative and quantitative methods. Participants. Childbirth nurses, educators and managers from two birthing units on two campuses of one hospital, in an urban city in Ontario, Canada. Phase I, N=10/10; Phase II, N = 97/129. Methods. Semi-structured interviews with content analysis followed by a survey using the Theory of Planned Behavior with descriptive, univariate and multiple regression analyses. Results. Unit acuity, method of patient assignment, need to cover other nurses for break and nurse-patient ratio, were the most frequently reported barriers. Nurses' attitude scores, subjective norm scores and intention scores toward providing CLS to women with epidural analgesia were lower than those for a non-epidural case study. Conclusions. Organizational barriers impact nurses' ability to provide CLS. Nurses have lower intentions to provide CLS to women with epidural analgesia.
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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 | 0.001 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".