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Record W4409148241 · doi:10.31128/ajgp-07-23-6903

Adult obesity management in Australia: How can we bridge the gap between guidelines and current general practice?

2025· article· en· W4409148241 on OpenAlexaboutno aff
Bo Bi, Tiana Gurney, Srinivas Kondalsamy‐Chennakesavan

Bibliographic record

VenueAustralian Journal of General Practice · 2025
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsnot available
FundersRoyal Australian College of General Practitioners
KeywordsCategorical variableMedicineObesityWeight managementManagement of obesityDescriptive statisticsGlobal Positioning SystemFamily medicineTest (biology)Weight lossStatisticsComputer science

Abstract

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Background and objectiveObesity is still recognised as a risk factor rather than a chronic disease in Australia.General practitioners (GPs) have reported a lack of confidence and support in the management of obesity.In this study, we explored GPs' current definitions and treatment of obesity and their attitudes towards proposed clinician educational and billing strategies. MethodsIn this cross-sectional study, an online survey was distributed to GPs across Australia. ResultsOf the 189 GPs who completed the survey, 82% defined obesity, with and/or without comorbidities, as a chronic disease.There is a significant gap between current practice and clinical guidelines, particularly in screening and prevention.The overall attitude towards proposed solutions was very positive.Descriptive analysis was used to present the characteristics of the participants.Chi-squared tests or Fisher's exact test were used to evaluate the relationship between categorical variables. DiscussionAustralia's outdated definition of obesity likely hinders management and contributes to the observed gap between clinical guidelines and current practice.Clinician education on behaviour change and long-term weight management, funding for more enhanced primary care referrals and Pharmaceutical Benefits Scheme listing of pharmacotherapy for weight loss might be possible solutions.OVERWEIGHT AND OBESITY RATES have doubled in Australia in the past 10 years, and it is predicted that more than three-quarters of the population will be overweight or obese by 2030. 1 The World Health Organization has defined obesity as a chronic disease since 1997, 2 with many peak health bodies around the world following suit, including in the USA, Canada and the European Union. [3][4]4][5] In Australia, however, obesity is not nominated as a chronic disease in its own right, but rather simply as a risk factor for other chronic diseases. 6,7his limited definition significantly affects the way that obesity is managed in general practice. 8Currently, there are no specific item numbers in the Medicare Benefits Schedule for obesity management, and there is no clarity around its eligibility for chronic disease management (CDM) billing. [9][10]][11] An association between obesity and poor mental health has been found, with one increasing the likelihood of the other, but there is no consensus on treatment for obesity. [12][13]][14] This study explores how Australian general practitioners (GPs) define and manage patients with obesity.We compare current practice with national overweight and obesity clinical guidelines, set by the National Health and Medical Research Council (NHMRC) in 2013 and The Royal Australian College of General Practitioners (RACGP) in 2018. 15,16We propose several modifications to them for the future.Currently, GPs are left to manage obesity using standard consults. 17Barriers to success cited by GPs in the literature include poor knowledge and low confidence in discussing specific strategies, weight stigma threatening the doctor-patient relationship, lack of local resources and referral options, and inappropriate remuneration. 18,19n 2022, the Australian Government released its first ever national obesity strategy. 20The aim of the strategy is that 'all Australians have access to early intervention and supportive health care'. 20This study will propose two strategies to remedy deficits in GP education and remuneration and contribute to the Australian Government's enablers of 'Us(ing) evidence and data more effectively' and 'Invest(ing) for delivery '. 20 Adult obesity management in Australia: How can we bridge the gap between guidelines and current general practice?

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)0.007
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.572
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.004
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 head0.242
GPT teacher head0.525
Teacher spread0.283 · 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.

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

Citations1
Published2025
Admission routes1
Has abstractyes

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