Care coordination for people living with serious mental illness: understanding the caregiver's perspective
Bibliographic record
Abstract
Introduction: Family caregivers of people living with serious mental illness such as bipolar disorder, psychosis and schizophrenia, are continuously burdened with caregiving, following the complexities of navigating the mental health system for their loved ones. The aim of the study was to understand the perspectives of caregivers about care coordination for people living with serious mental illness, highlighting the current landscape and new directions across Canada. Methods: In this co-designed participatory qualitative research, caregivers of people living with serious mental illness, and service providers were engaged and purposively sampled across Canada. Results: The main findings of the study revealed care coordination as a key strategy to alleviate the burden of caregivers and enhance sustainable support for them. In complement with collaborative mental health care, care coordination can improve service delivery and strengthen the mental health system. Conclusion: Given the severity of bipolar disorder, psychosis and schizophrenia, it is important that we prioritize care for people living with these illnesses while providing support for their caregivers who bear the brunt of the otherwise fractured mental health system. Ultimately, collaboration between people and systems is how the mental health system can be much improved, and care coordinators serve as resourceful go-betweens in this 'collaborativerse'.
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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 | 0.001 | 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".