Mothers’ Experiences Raising Children With Complex Care Needs in Rural Settings: A Qualitative Study
Bibliographic record
Abstract
Introduction: Having a child with complex care needs (CCNs) can significantly impact families' daily life structure. High caregiving responsibilities perceived by mothers and limited access to services-especially in rural settings-can affect their mental health and lead to caregiver burnout. Objectives: This study aimed to explore the challenges faced by mothers of children with CCNs living in a rural setting. Methods: Eight mothers, recruited through a Community Social Pediatrics Centre in New Brunswick (CA), were individually interviewed between July 2020 and January 2021. Interviews were transcribed and analyzed using a thematic analysis method. Results: Results highlight challenges experienced by mothers in accessing care and formal resources for their children. Both the lack of support and challenges faced by the child increased mothers' burden. Discussion: Future research and intervention are warranted to better identify and meet the needs of mothers having a child with CCNs and living in rural settings.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".