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Record W4404895214 · doi:10.1136/bmjoq-2024-ihi.38

38 A proactive outreach approach to prevent primary care patients from falling through the cracks

2024· article· en· W4404895214 on OpenAlexaboutno aff
Brittany Faux, Stephanie Balko

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsFalling (accident)OutreachPrimary careComputer scienceMedicineFamily medicineEnvironmental healthPolitical science

Abstract

fetched live from OpenAlex

Description Primary care providers (PCPs) focus on patients presenting for care, but access limitations may create care gaps for those impacted by social determinants of health. Proactive Care Coordination Assistants (PCCAs) at Edmonton Southside Primary Care Network proactively outreach to patients, ensuring equitable access for 212 participating physicians. As a result of outreach to patients due for care or preventative screening, colorectal, breast, and cervical cancer screening rates increased from 59% to 61%, 51% to 57%, and 53% to 60%, respectively (figure 1). Diabetes screening rates increased from 74% to 88% (figure 2). Over 90% of patients were seen within the recommended timeframe (figure 3). Panel accuracy, measured by the alignment of registered patients with billing data estimates, also improved after the adoption of this model. With high physician participation in this equitable approach high results are promising for spread and scale.

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)0.003
metaresearch head score (Gemma)0.006
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: none
Teacher disagreement score0.040
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0040.001
Scholarly communication0.0020.002
Open science0.0020.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0400.006

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 head0.105
GPT teacher head0.455
Teacher spread0.350 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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