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Record W2080726345 · doi:10.12927/hcpol.2011.22690

Canadian Experts' Views on the Importance of Attributes within Professional and Community-Oriented Primary Healthcare Models

2011· article· en· W2080726345 on OpenAlex
Jean‐Frédéric Lévesque, Jeannie Haggerty, Fred Burge, Marie‐Dominique Beaulieu, David Gass, Raynald Pineault, Darcy A. Santor

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHealthcare policy · 2011
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsDelphi methodMultidisciplinary approachInterpersonal communicationKnowledge managementHealth carePsychologyEquity (law)DelphiNursingMedicineComputer scienceSociologyPolitical scienceSocial psychology

Abstract

fetched live from OpenAlex

PURPOSE: The aim of this study was to rate the importance of primary healthcare (PHC) attributes in evaluations of PHC organizational models in Canada. METHODS: Using the Delphi process, we conducted a consensus consultation with 20 persons recognized by peers as Canadian PHC experts, who rated the importance of PHC attributes within professional and community-oriented models of PHC. RESULTS: ATTRIBUTES RATED AS ESSENTIAL TO ALL MODELS WERE DESIGNATED CORE ATTRIBUTES: first-contact accessibility, comprehensiveness of services, relational continuity, coordination (management) continuity, interpersonal communication, technical quality of clinical care and clinical information management. Overall, while all were important, non-core attributes - except efficiency/productivity - were rated as more important in community-oriented than in professional models. Attributes rated as essential for community-oriented models were equity, client/community participation, population orientation, cultural sensitivity and multidisciplinary teams. CONCLUSION: Evaluation tools should address core attributes and be customized in accordance with the specific organizational models being evaluated to guide health reforms.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.354
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
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 head0.249
GPT teacher head0.438
Teacher spread0.189 · 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