Integrated self-management support provided by primary care nurses to persons with chronic diseases and common mental disorders: a qualitative study
Bibliographic record
Abstract
BACKGROUND: More and more people suffer from concomitant chronic physical diseases and common mental disorders, calling for integrated self-management support in primary care. However, self-management support of chronic physical diseases and common mental disorders is not clearly operationalized by guidelines and is still conducted in silos by primary care nurses, especially in favour of chronic diseases. This study aims to better understand primary care nurses' experience of integrated self-management support for people with physical chronic diseases and common mental disorders. METHODS: An interpretive descriptive qualitative approach was conducted with 23 primary care nurses from family medicine groups in Quebec (Canada). They were selected through purposive and snowball sampling methods to participate in an individual interview. Data were analysed using an iterative inductive and deductive analysis (Rainbow Model of Integrated Care and the Practical Reviews in Self-Management Support (PRISMS) taxonomy). RESULTS: Nurses' experience of integrated self-management support for people with CD and CMD was structured around: (1) elements of the approach; (2) clinical integration through prevention and health promotion; and (3) operationalization of integrated self-management support. Several elements deemed essential to integrated self-management support were identified. Nurses offered integrated self-management support through prevention of risk factors and promotion of a healthy lifestyle for physical chronic diseases and common mental disorders. Nurses' self-management support activities included education, action plans, monitoring, and many practical, psychological, and social support strategies. A model of integrated self-management support for primary care nursing is proposed to better understand its clinical integration. CONCLUSION: This study presents clinical integration of self-management support and activities for people with physical chronic diseases and common mental disorders in primary care settings. Understanding integrated self-management support will help implement future interventions.
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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".