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Record W2147921664 · doi:10.1186/s12887-015-0388-6

Improving communication and recall of information in paediatric diabetes consultations: a qualitative study of parents’ experiences and views

2015· article· en· W2147921664 on OpenAlexaff
Julia Lawton, Norman Waugh, Kathryn Noyes, Kathryn E. Barnard, Jeni Harden, Louise Bath, John Stephen, David Rankin

Bibliographic record

VenueBMC Pediatrics · 2015
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsCentre for Global Health Research
FundersChief Scientist Office, Scottish Government Health and Social Care DirectorateScottish Government
KeywordsMedicineFeelingThematic analysisRecallHealth professionalsQualitative researchDiabetes managementFamily medicineNursingHealth careMedical educationType 2 diabetesDiabetes mellitusPsychologySocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Parents of non-adolescent children with type 1 diabetes are responsible for most of their child's diabetes management tasks. Consultations are used to provide diabetes education, review clinical progress and promote diabetes management tasks. This study explored parents' experiences of, and views about, their child's diabetes consultations. The objective was to identify ways in which consultations could be improved to aid communication, understanding and knowledge retention. METHODS: In-depth interviews with 54 parents of children (aged ≤12 years) with type 1 diabetes. Data were analysed using an inductive thematic approach. RESULTS: Parents' accounts revealed structural and contextual factors which could hinder effective communication and knowledge acquisition during consultations. Most reported feeling anxious going into consultations and worrying about being reprimanded by health professionals if their child's glycaemic control had not improved. As a consequence, many parents highlighted problems concentrating and assimilating information during consultations. In extreme cases, worries about being reprimanded led parents to omit or fabricate information when discussing their child's treatment or even to their cancelling appointments. Many parents described wanting opportunities to speak to health professionals alone because young children could be distracting and/or they did not want to raise distressing issues in front of their child. Parents described the benefits of receiving clinical advice from health professionals familiar with their family circumstances and disliking attending busy clinics and seeing different health professionals on each occasion. Parents also highlighted the benefits of receiving treatment recommendations in a written form after the consultation. DISCUSSION AND CONCLUSIONS: This study has highlighted unrecognised and undocumented aspects of the consultation which may result in parents leaving uncertain about the main issues discussed and with questions unanswered and support needs unaddressed. Structural and contextual changes to consultations are recommended to improve concentration, knowledge acquisition and retention. These include: sending letters/written summaries after consultations highlighting key decisions, providing opportunities for parents to consult health professionals without their child being present, encouraging parents to ask more questions during consultations, having procedures in place to promote continuity of care and providing parents with consistent and non-contradictory advice.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.029
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0020.003
Open science0.0010.003
Research integrity0.0010.002
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 head0.079
GPT teacher head0.370
Teacher spread0.292 · 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 source (direct Gemma or distilled Codex), 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

Citations27
Published2015
Admission routes1
Has abstractyes

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