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Record W2925148676 · doi:10.1071/py18095

Factors influencing self-management in patients with type 2 diabetes in general practice: a qualitative study

2019· article· en· W2925148676 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAustralian Journal of Primary Health · 2019
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Education
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchAustralian GovernmentAustralian Primary Health Care Research Institute, Australian National UniversityPrimary Health Care Research, Evaluation and Development
KeywordsQualitative researchSelf-managementHealth literacyPhotovoiceCommunity healthMedicinePopulation healthNursingHealth careLiteracyPublic healthPsychologySociologySocial science

Abstract

fetched live from OpenAlex

Many Australian adults with type 2 diabetes mellitus (T2DM) do not follow recommended self-management behaviours that could prevent or delay complications. This exploratory study aimed to investigate the factors influencing self-management of T2DM in general practice. Semi-structured qualitative interviews were conducted with patients with T2DM (n = 10) and their GPs (n = 4) and practice nurses (n = 3) in a low socioeconomic area of Sydney, New South Wales, Australia. The interviews were analysed thematically using the socio-ecological model as a framework for coding. Additional themes were derived inductively based on the explicitly stated meaning of the text. Factors influencing self-management occurred on four levels of the socio-ecological model: individual (e-health literacy, motivation, time constraints); interpersonal (family and friends, T2DM education, patient-provider relationship); organisational (affordability, multidisciplinary care); and community levels (culture, self-management resources). Multi-level strategies are needed to address this wide range of factors that are beyond the scope of single services or organisations. These could include tailoring health education and resources to e-health literacy and culture; attention to social networks and the patient-provider relationship; and facilitating access to affordable on-site allied health services.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.439

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.030
GPT teacher head0.361
Teacher spread0.330 · 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