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Record W3209606847 · doi:10.5334/ijic.5629

Integrated Community Care Delivered by Public Health Care and Social Care Systems: Protocol for a Realist Synthesis

2021· article· en· W3209606847 on OpenAlexaff
Jean-François Allaire, Yacine Thiam, Paul Morin, Hervé Tchala Vignon Zomahoun, Nathalie Rhéault, Francis Lacasse, Chantal Doré, Shelley-Rose Hyppolite, Suzanne Garon

Bibliographic record

VenueInternational Journal of Integrated Care · 2021
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsCentre Integre de Sante et de Services Sociaux de LavalQuebec Rehabilitation Research NetworkCentres Intégré Universitaires de Santé et de Services SociauxCentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-JeanUniversité de SherbrookeCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalHealth and Social Services Centre University Institute of Geriatrics of SherbrookeCentre Hospitalier Universitaire de Sherbrooke
Fundersnot available
KeywordsIntegrated careMandateHealth careAccountabilityPublic relationsPublic healthSoftware deploymentPsychological interventionNursingSociologyMedicinePolitical scienceComputer scienceEconomic growthEconomics

Abstract

fetched live from OpenAlex

INTRODUCTION: Integrated Community Care (ICC) is defined as an interweaving of territory scale and time scale health care and social care interventions implemented in proximity (spatial and relational) in an interdisciplinary and cross-sectoral manner. However, the deployment of in public health and social care networks can be complex owing to their broad mandate and the complexity of their management and accountability. Therefore, we aim to describe integrated community care in order to shed light on how they work, for whom and in what circumstances. THEORY AND METHODS: We will conduct a realist synthesis to design a flexible and scalable theory of the functioning of ICC deployed by public health and social care networks. To do so, a two-phase approach will be used: a systematic review on the topic of interest; and co-development and refinement of theory with local and international stakeholders. This data will be analyzed using both qualitative and quantitative methods. DISSEMINATION OF RESULTS: The results will be disseminated through peer-reviewed publications, academic presentations and a policy brief. This last document will include evidence on how ICC can be deployed by public health and social care networks to produce the impacts targeted.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.068
GPT teacher head0.457
Teacher spread0.388 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2021
Admission routes1
Has abstractyes

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