MétaCan
Menu
Back to cohort
Record W4289520465 · doi:10.1186/s12912-022-01000-2

Integrated self-management support provided by primary care nurses to persons with chronic diseases and common mental disorders: a scoping review

2022· review· en· W4289520465 on OpenAlex
Jérémie Beaudin, Maud‐Christine Chouinard, Ariane Girard, Janie Houle, Édith Ellefsen, Catherine Hudon

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBMC Nursing · 2022
Typereview
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsUniversité du Québec à MontréalUniversité LavalUniversité de MontréalUniversité de Sherbrooke
FundersRéseau de recherche portant sur les interventions en sciences infirmières du Québec
KeywordsPsychological interventionCINAHLPsycINFOIntegrated careMedicineBiopsychosocial modelSelf-managementNursing managementNursingNursing researchMEDLINEHealth carePsychiatryComputer science

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.647
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.023
GPT teacher head0.340
Teacher spread0.317 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it