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Record W2978682713

Primary care renewal strategies in Manitoba: Family physicians' perceptions.

2019· article· en· W2978682713 on OpenAlexaffabout
Ashley Struthers, Colleen Metge, Catherine Charette, Karen Harlos, Sunita Bayyavarapu Bapuji, Paul Beaudin, Ingrid Botting, Alan Katz, Sara A. Kreindler

Bibliographic record

VenuePubMed · 2019
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsWinnipeg Regional Health AuthorityUniversity of WinnipegUniversity of ManitobaManitoba HealthGeorge & Fay Yee Centre for Healthcare Innovation
Fundersnot available
KeywordsPrimary careFocus groupPerceptionFamily medicineQualitative researchMedicineNursingTrustworthinessPsychologyBusinessSociologyMarketingSocial psychology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To understand family physicians' perceptions of Manitoba's strategies for primary care renewal or reform (PCR). DESIGN: Qualitative substudy of an explanatory case study. SETTING: Rural and urban Manitoba. PARTICIPANTS: A total of 60 family physicians (31 fee-for-service physicians, 26 alternate-funded physicians, and 3 physicians representing provincial physician organizations). METHODS: Semistructured interviews and focus groups. MAIN FINDINGS: Many physicians were hesitant to participate in PCR initiatives, perceiving clear risks but uncertain benefits to patients and providers. Additional barriers to participation included concerns about the adequacy and import of communication about PCR, the meaningfulness of opportunities for physician "voice," and the trustworthiness of decision makers. There was an appetite for tailored, clinic-level support in addressing concrete, physician-identified problems; however, the initiatives on offer were not widely viewed as providing such support. CONCLUSION: Although some of the observed barriers might fade over time, concentrating PCR efforts on the everyday realities of family physician practice might be the best way to build a primary care system that works for patients and providers.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.444
Threshold uncertainty score0.893

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.042
GPT teacher head0.333
Teacher spread0.291 · 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 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

Citations1
Published2019
Admission routes2
Has abstractyes

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