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Record W2014414777 · doi:10.1097/jac.0b013e31822cbd7c

Feasibility of Chronic Disease Patient Navigation in an Urban Primary Care Practice

2012· article· en· W2014414777 on OpenAlex

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.

Bibliographic record

VenueJournal of Ambulatory Care Management · 2012
Typearticle
Languageen
FieldMedicine
TopicGlobal Cancer Incidence and Screening
Canadian institutionsWomen's Health Research Institute
FundersNational Center for Research Resources
KeywordsMedicinePrimary careMammographyScheduleMotivational interviewingInterviewPatient satisfactionFamily medicineDiseasePhysical therapyNursingBreast cancerInternal medicine

Abstract

fetched live from OpenAlex

The purpose of this study was to evaluate the feasibility of incorporating chronic disease navigation using lay health care workers trained in motivational interviewing (MI) into an existing mammography navigation program. Primary-care patient navigators implemented MI-based telephone conversations around mammography, smoking, depression, and obesity. We conducted a small-scale demonstration, using mixed methods to assess patient outcomes and provider satisfaction. One hundred nine patients participated. Ninety-four percent scheduled and 73% completed a mammography appointment. Seventy-one percent agreed to schedule a primary care appointment and 54% completed that appointment. Patients and providers responded positively. Incorporating telephone-based chronic disease navigation supported by MI into existing disease-specific navigation is efficacious and acceptable to those enrolled.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.571

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.040
GPT teacher head0.351
Teacher spread0.311 · 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