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Record W4308578491 · doi:10.1111/jep.13788

Do preventative care guidelines emphasize behaviour change? A content analysis of three commonly used Australian general practice guidelines

2022· article· en· W4308578491 on OpenAlexaff
Pallavi Prathivadi, Jenny Advocat, Lauren Ball, Alex S. Clark, Lauren Williams, Elizabeth Sturgiss

Bibliographic record

VenueJournal of Evaluation in Clinical Practice · 2022
Typearticle
Languageen
FieldMedicine
TopicHealth Promotion and Cardiovascular Prevention
Canadian institutionsAthabasca University
FundersNational Health and Medical Research CouncilRoyal Australian College of General Practitioners
KeywordsPaternalismActive listeningBehaviour changeMedicinePsychologyContent analysisHealth careNursingMedical educationFamily medicineIntervention (counseling)PsychotherapistSociologyPolitical science

Abstract

fetched live from OpenAlex

RATIONALE: Preventive health is a core part of primary care clinical practice and it is critical for both disease prevention and reducing the consequences of chronic disease. In primary care, the 5As framework is often used to guide behaviour change consultations for smoking, nutrition, alcohol use and physical activity. AIMS AND OBJECTIVES: Our objective was to analyze the emphasis placed on each 5As term in commonly used guidelines in Australian general practice and compare this to behaviour change terms/concepts essential to effective consultations. METHOD: A content analysis was undertaken to explore frequency of 5A terms and key behaviour change concepts/terms chapter-by-chapter across the three most commonly used guidelines in Australian general practice. RESULTS: The prevalence of each 5As term differed in all three guidelines, with 'Arrange' being mentioned the least often. Behaviour change concepts and terms, such as patient-centredness, listening, trust and tailoring, were infrequently used and were often confined to a separate chapter of the guidelines. CONCLUSION: The language and content of the guidelines contrast with known effective components of behaviour change consultations. Future revisions could reconsider emphasis of 5As terms to avoid paternalistic approaches, improve shared language across guidelines and incorporate behavioural science principles to enhance preventative care delivery.

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)0.078
metaresearch head score (Gemma)0.077
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.607
Threshold uncertainty score0.950

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0780.077
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.624
GPT teacher head0.627
Teacher spread0.003 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2022
Admission routes1
Has abstractyes

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