Person-centered care for common mental disorders in Ontario’s primary care patient-centered medical homes: a qualitative study of provider perspectives
Bibliographic record
Abstract
BACKGROUND: For more than a decade, the Patient-Centered Medical Home model has been a guiding vision for the modernization of primary care systems. In Canada, Ontario's Family Health Teams (FHTs) were designed in the mid-2000s with the medical home model in mind. These primary care clinics aim to provide accessible, comprehensive, and person-centered primary care services to communities across Ontario. Their services typically include mental health care for people experiencing common mental disorders, such as depression and anxiety disorders. It remains unclear, however, whether the mental health care delivered within FHTs is consistent with person-centered care approaches. In the current study, we aimed to explore the perspectives of FHT providers on the care delivered to people with common mental disorders to determine whether, and to what extent, they believed this care was person-centered. METHODS: We conducted a qualitative grounded theory study involving interviews with 65 health professionals and administrators from 18 FHTs across Ontario. Transcripts were coded using a three-step process of initial, focused, and axial coding that mixed inductive and deductive approaches informed by sensitizing concepts on person-centeredness. RESULTS: Practices and challenges associated with the delivery of mental health care in a person-centered way were captured by several themes regrouped into five domains: (1) patient as unique person, (2) patient-provider relationship, (3) sharing power and responsibility, (4) connecting to family and community, and (5) creating person-centered care environments. FHT providers perceived that they delivered person-centered care by delivering mental health care that was responsive, flexible, and consistent with biopsychosocial approaches. They emphasized the importance of creating long-lasting relationships with patients grounded in empathy and trust. Their challenges included being able to ensure continuity of care, adequately prioritizing patients' mental health issues, and meaningfully engaging patients and families as partners in care. CONCLUSIONS: Our findings suggest that FHT providers have adopted a range of person-centered practices for people with common mental disorders. However, greater attention to practices such as shared decision making, supporting self-management, and involving families in care would strengthen person-centeredness and bring teams closer to the Patient-Centered Medical Home vision.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".