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Record W2995730769 · doi:10.1016/j.pcd.2019.11.010

A qualitative study exploring strategies to improve the inter-professional management of diabetes and periodontitis

2019· article· en· W2995730769 on OpenAlexaff
Susan M. Bissett, Philip M. Preshaw, Justin Presseau, Tim Rapley

Bibliographic record

VenuePrimary care diabetes · 2019
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersNational Institute for Health and Care Research
KeywordsMedicineDiabetes mellitusPeriodontitisQualitative researchDiabetes managementMEDLINEIntensive care medicineType 2 diabetesDentistryEndocrinology

Abstract

fetched live from OpenAlex

AIMS: To explore inter-professional communication and collaboration in guideline-concordant diabetes and periodontitis care. METHODS: Qualitative design using iterations of workshops to identify ways to improve multidisciplinary working attended by staff from medical and dental primary care practices, and people with diabetes (n=43). Workshops were semi-structured around a topic guide. Recruitment was via the UK Clinical Research Network, and a patient and public involvement group in the North of England. RESULTS: Medical practice participants were unaware of the bidirectional evidence linking diabetes and periodontitis and stated that they had never received a referral from a dental professional in this context. The patient participants with diabetes reported never having been informed about the links between diabetes and periodontitis from either their family physician or dentist. Medical and dental practice participants gave negative accounts of inter-professional communication, with claims of inappropriate requests and defensive or non-responses that stymied future interaction. Indirect communication through the patient was suggested as an alternative to direct communication. CONCLUSIONS: Indirect referral, whereby the patient is signposted to a healthcare professional, was suggested by medical and dental professionals as a useful alternative to the traditional (and time consuming) letter or telephone call, particularly in the case of suspected diabetes or periodontitis.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score0.715

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 science0.0010.001
Research integrity0.0000.001
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 head0.123
GPT teacher head0.414
Teacher spread0.291 · 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 designQualitative
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

Citations28
Published2019
Admission routes1
Has abstractyes

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