Mothers' perspectives of an in-home nursing respite service: coping and control.
Bibliographic record
Abstract
What are mothers' experiences of receiving in-home nursing respite care for their children with medically fragile or complex conditions? This paper highlights selected findings from a comprehensive 2-year study designed to evaluate the impact of a Canadian nursing respite program. Data were collected at 3 time points in the homes of 27 families, using both quantitative and qualitative methods. This paper reports on 1 construct arising from unstructured interview and observational data: learning to manage the system. A specific subset of 10 mothers was chosen for constant comparative analysis of their perspectives of receiving in-home nursing respite, revealing a 4-phase process: taking in, losing control, taking charge, and managing effectively within the constraints of inflexible rules. These findings contribute to nursing knowledge about meeting the in-home respite needs of mothers of children with complex medical conditions. Implications for nursing include how to better support maternal coping, decrease uncertainty, and foster more effective relationships with mothers of children with complex conditions.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".