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Record W4380045994 · doi:10.13162/hro-ors.v10i1.4680

Implementing Primary Health Care Teams and Integrated Care in Alberta, Canada

2022· article· en· W4380045994 on OpenAlexafffundvenueabout
Stephanie Montesanti, Caillie Pritchard, Lee A. Green, Shannon Berg, Sara Mallinson, Judy Birdsell

Bibliographic record

VenueHealth Reform Observer - Observatoire des Réformes de Santé · 2022
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsAlberta Health ServicesUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsPrimary carePrimary health careHealth careNursingMedicineFamily medicinePolitical science

Abstract

fetched live from OpenAlex

Improving health services integration for persons living with complex health and social needs is a priority for Canadian health systems. Alberta’s approach to promoting and incentivizing interprofessional team-based primary health care (PHC) has focused on creating a universal system of networks of family physician clinics or Primary Care Networks (PCNs). First implemented in 2003, PCNs aimed to improve access and quality of interdisciplinary care using PHC teams. While an interprofessional PHC team approach is considered a basic tenet of health services integration, several barriers to implementing team-based care have been identified in Alberta, such as physician and PCN funding models, lack of integrated electronic medical records (EMRs), and lack of standardized evaluation. Strategies for implementing team-based PHC policies include building on existing structures, gaining buy-in from frontline clinicians, and enabling providers to work at their full scope of practice. PCNs can improve how they provide team-based care by focusing on patient-centred care and streamlining EMRs. Further research is needed to determine optimal approaches for evaluation and performance measurement to facilitate quality improvement at the clinical level and improve performance at the system level. L'amélioration de l'intégration des services de santé pour les personnes vivant avec des besoins sanitaires et sociaux complexes est une priorité pour les systèmes de santé canadiens. L'approche adoptée par l'Alberta pour promouvoir et encourager les soins de santé primaires (SSP) fondés sur des équipes interprofessionnelles s'est concentrée sur la création d'un système universel de réseaux de cliniques de médecins de famille ou de réseaux de soins primaires (RSP). Mis en œuvre pour la première fois en 2003, les RSP visaient à améliorer l'accès et la qualité des soins interdisciplinaires par le biais d'équipes de soins primaires. Bien que l'approche interprofessionnelle des équipes de SSP soit considérée comme un principe de base de l'intégration des services de santé, plusieurs obstacles à la mise en œuvre ont été identifiés en Alberta, tels que les modèles de financement des médecins et des RSP, l'absence de dossiers médicaux électroniques intégrés et le manque d'évaluation normalisée. Les stratégies de mise en œuvre des politiques de soins primaires axés sur le travail d'équipe consistent à s'appuyer sur les structures existantes, à obtenir l'adhésion des cliniciens et à permettre aux cliniciens de travailler dans toute l'étendue de leur pratique. Les RSP peuvent améliorer la façon dont ils fournissent des soins en équipe en se concentrant sur les soins centrés sur le patient et en implantant les dossiers médicaux électroniques. Des recherches supplémentaires sont nécessaires pour déterminer les approches optimales d'évaluation et les mesures de performances afin de faciliter l'amélioration de la qualité au niveau clinique et d'améliorer les performances au niveau du système.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.848
Threshold uncertainty score0.983

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0090.002
Scholarly communication0.0040.001
Open science0.0040.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.025
GPT teacher head0.351
Teacher spread0.326 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2022
Admission routes4
Has abstractyes

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