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Record W4387571650 · doi:10.12927/hcpol.2023.27182

Connecting Health and Social Services for Patients with Complex Care Needs: A Pan-Canadian Comparative Policy Research Program

2023· article· en· W4387571650 on OpenAlexaffvenueabout
Jeannie Haggerty, Catherine M. Scott, Yves Couturier, Amélie Quesnel‐Vallée, Émilie Dionne, Tara L. Stewart, Robin Urquhart, William Montelpare, Shelley Doucet, Nelly D. Oelke

Bibliographic record

VenueHealthcare policy · 2023
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsUniversity of Prince Edward IslandUniversity of British ColumbiaUniversity of New BrunswickDalhousie UniversityGeorge & Fay Yee Centre for Healthcare InnovationUniversité LavalUniversity of British Columbia, Okanagan CampusUniversité de SherbrookeUniversity of CalgaryOkanagan University CollegeMcGill University Health Centre
Fundersnot available
KeywordsIntegrated careHealth carePublic relationsHealth servicesService (business)Integrated servicesService delivery frameworkSocial WelfareFocus groupHealth policyNursingMedicinePolitical scienceBusinessPublic healthEnvironmental healthMarketingComputer science

Abstract

fetched live from OpenAlex

Comprehensive primary healthcare for patients with complex care needs requires connections to other health services, social services and community supports. This descriptive comparative policy research program used publicly available documents and informant interviews to examine progress toward integrated comprehensive care through the lens of services needed by children and youth (0-25 years) and community-dwelling older adults (≥ 65 years) with high functional health needs. This article describes five projects. The following three findings emerged across all the projects: Canada indeed has multiple health systems; numerous integrated service delivery solutions are being trialled and most focus on medical services; and it is an ongoing challenge for ministries of health to engage physicians and physician associations in integration.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience 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 score0.236
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0060.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.234
GPT teacher head0.598
Teacher spread0.364 · 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

Citations8
Published2023
Admission routes3
Has abstractyes

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