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Record W2168283603 · doi:10.12927/hcpap..18993

Chronic Disease Management: The Primary Care Perspective

2007· letter· en· W2168283603 on OpenAlexvenueaboutno aff
Pauline Bragaglia, Lewis O'Brien

Bibliographic record

VenueA Nudge Too Far? A Nudge at All? On Paying People to Be Healthy · 2007
Typeletter
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)Health careChronic diseaseMedicinePrimary careDisease managementDiseaseHealthcare systemNursingQuality (philosophy)Quality managementMedical emergencyManagement systemOperations managementIntensive care medicineFamily medicineHealth management systemPolitical scienceAlternative medicineComputer scienceEngineeringPathology

Abstract

fetched live from OpenAlex

This response to the essay is a "view from the trenches" by two doctors who have worked over 23 years at the Group Health Centre in Sault Ste. Marie, Ontario. We would agree wholeheartedly that reducing wait times for selected procedures will not transform our health system, although they are a start that does provide improved quality of life for a relatively small number of people. We have struggled with the care gap between known best practices and the reality of care provided, from the perspectives of both prevention and chronic disease management. This has resulted in an acute awareness of the need for an across-the-system, "bottom-up" approach to the prevention of disease and management of healthcare. Limited resources must be carefully leveraged in innovative ways if we are to eliminate this care gap, decrease morbidity and minimize expensive "rescue" procedures that make our system increasingly unaffordable.

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)0.011
metaresearch head score (Gemma)0.033
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.064
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.033
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0100.012
Scholarly communication0.0080.012
Open science0.0030.005
Research integrity0.0640.056
Insufficient payload (model declined to judge)0.0110.003

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 head0.058
GPT teacher head0.397
Teacher spread0.338 · 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
GenreCommentary

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

Citations4
Published2007
Admission routes2
Has abstractyes

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