Integrated self-management support provided by primary care nurses to persons with chronic diseases and common mental disorders: a scoping review
Bibliographic record
Abstract
AIM: To map integrated and non-integrated self-management support interventions provided by primary care nurses to persons with chronic diseases and common mental disorders and describe their characteristics. DESIGN: A scoping review. DATA SOURCES: In April 2020, we conducted searches in several databases (Academic Research Complete, AMED, CINAHL, ERIC, MEDLINE, PsycINFO, Scopus, Emcare, HealthSTAR, Proquest Central) using self-management support, nurse, primary care and their related terms. Of the resulting 4241 articles, 30 were included into the analysis. REVIEW METHODS: We used the Rainbow Model of Integrated Care to identify integrated self-management interventions and to analyze the data and the PRISMS taxonomy for the description of interventions. Study selection and data synthesis were performed by the team. Self-management support interventions were considered integrated if they were consistent with the Rainbow model's definition of clinical integration and person-focused care. RESULTS: The 30 selected articles related to 10 self-management support interventions. Among these, five interventions were considered integrated. The delivery of the interventions showed variability. Strategies used were education, problem-solving therapies, action planning, and goal setting. Integrated self-management support intervention characteristics were nurse-person relationship, engagement, and biopsychosocial approach. A framework for integrated self-management was proposed. The main characteristics of the non-integrated self-management support were disease-specific approach, protocol-driven, and lack of adaptability. CONCLUSION: Our review synthesizes integrated and non-integrated self-management support interventions and their characteristics. We propose recommendations to improve its clinical integration. However, further theoretical clarification and qualitative research are needed. IMPLICATION FOR NURSING: Self-management support is an important activity for primary care nurses and persons with chronic diseases and common mental disorders, who are increasingly present in primary care, and require an integrated approach. IMPACT: This review addresses the paucity of details surrounding integrated self-management support for persons with chronic diseases and common mental disorders and provides a framework to better describe its characteristics. The findings could be used to design future research and improve the clinical integration of this activity by nurses.
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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 | 0.015 | 0.061 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.022 | 0.024 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| 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".