Mothers’ care-seeking journeys for daughters with depression
Bibliographic record
Abstract
Atlantic Canadian mothers’ experiences in seeking and accessing mental health care and support for their adolescent daughters’ depression were explored in this thesis. The care- seeking journeys were depicted through the narratives of seven mothers whose eight daughters accessed the provincial mental health systems and obtained a diagnosis of depression. Qualitative semi-structured interviews and patient journey mapping methods guided data collection to assist in understanding mothers’ experiences in the mental health system, education system, and family life. The interview transcripts and journey maps were analyzed using narrative and thematic analysis and by drawing on critical and feminist theories. The three overarching themes in mothers’ journeys were; a) marginalization and loss of control, b) becoming empowered, and c) hope for the future. Recommendations for improving mothers’ care-seeking experiences in Atlantic Canada were reported, including evidence to enhance continuity of care, increase collaborative team-based supports, and strategize quality mental health education. This research can help to increase awareness and understanding among health care professionals and educators regarding the challenges that mothers face while seeking care for their daughter’s depression, highlighting the need to provide more consistent and collaborative support and conform to a streamlined system to assist in the journeys of Atlantic Canadian mothers and youth.\nKeywords: mothering, depression, mental health, care-seeking, qualitative, narrative research, patient journeys, Atlantic Canada
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".