Patient perspectives on quality of care for depression and anxiety in primary health care teams: A qualitative study
Bibliographic record
Abstract
BACKGROUND: Widespread policy reforms in Canada, the United States and elsewhere over the last two decades strengthened team models of primary care by bringing together family physicians and nurse practitioners with a range of mental health and other interdisciplinary providers. Understanding how patients with depression and anxiety experience newer team-based models of care delivery is essential to explore whether the intended impact of these reforms is achieved, identify gaps that remain and provide direction on strengthening the quality of mental health care. OBJECTIVE: The main study objective was to understand patients' perspectives on the quality of care that they received for anxiety and depression in primary care teams. METHODS: This was a qualitative study, informed by constructivist grounded theory. We conducted focus groups and individual interviews with primary care patients about their experiences with mental health care. Focus groups and individual interviews were recorded and transcribed verbatim. Grounded theory guided an inductive analysis of the data. RESULTS: Forty patients participated in the study: 31 participated in one of four focus groups, and nine completed an individual interview. Participants in our study described their experiences with mental health care across four themes: accessibility, technical care, trusting relationships and meeting diverse needs. CONCLUSION: Greater attention by policymakers is needed to strengthen integrated collaborative practices in primary care so that patients have similar access to mental health services across different primary care practices, and smoother continuity of care across sectors. The research team is comprised of individuals with lived experience of mental health who have participated in all aspects of the research process.
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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 | 0.000 |
| 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".