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Record W2170493941

Lifestyle management for type 2 diabetes. Are family physicians ready and willing?

2004· article· en· W2170493941 on OpenAlexaffabout
Stewart B. Harris, Robert J. Petrella, Anita Lambert-Lanning, Wendy Leadbetter, Lynda Cranston

Bibliographic record

VenuePubMed · 2004
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychological interventionMedicineReferralFamily medicineConfidentialityWorkforceType 2 diabetesNursingDiabetes mellitus
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine practices and perceptions of family physicians regarding lifestyle interventions to prevent and manage type 2 diabetes (T2D). DESIGN: Confidential mailed survey. SETTING: Canadian family practices. PARTICIPANTS: Random, stratified sample of 1499 respondents to the 2001 National Family Physician Workforce Survey. MAIN OUTCOME MEASURES: Physicians' self-reported practice patterns and perceptions of lifestyle counseling for patients at risk for, and diagnosed with, T2D. RESULTS: Response rate was 53% (749/1410). Respondents frequently asked patients at risk for, or diagnosed with, T2D about physical activity and weight loss, but far fewer provided written advice, particularly about physical activity. Respondents thought counseling with such interventions as generic patient handouts was preferable to more intensive lifestyle management strategies, such as appointments to provide stage-matched counseling on physical activity. Most respondents thought family physicians should perform lifestyle interventions but realized they are confounded by such barriers as patients' lack of interest and limited referral resources. CONCLUSION: Family physicians keen to implement lifestyle interventions for T2D are hampered by barriers and use of ineffective strategies.

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 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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.442
Threshold uncertainty score0.564

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.092
GPT teacher head0.385
Teacher spread0.293 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations38
Published2004
Admission routes2
Has abstractyes

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