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Record W3215625743 · doi:10.1111/dme.14751

Barriers and enablers to diabetic eye screening attendance: An interview study with young adults with type 1 diabetes

2021· article· en· W3215625743 on OpenAlexaff
Louise Prothero, John G Lawrenson, Martin Cartwright, Roxanne Crosby‐Nwaobi, Jennifer Burr, Philip Gardner, John Anderson, Justin Presseau, Noah Ivers, Jeremy Grimshaw, Fabiana Lorencatto

Bibliographic record

VenueDiabetic Medicine · 2021
Typearticle
Languageen
FieldMedicine
TopicRetinal Diseases and Treatments
Canadian institutionsUniversity of OttawaWomen's College HospitalOttawa Hospital
FundersDiabetes UKNational Institute for Health and Care Research
KeywordsMedicineAttendanceThematic analysisSocial supportFeelingGerontologyContext (archaeology)Type 2 diabetesDiabetes managementQualitative researchDiabetes mellitusFamily medicinePsychologySocial psychology

Abstract

fetched live from OpenAlex

AIM: The aim of this study was to identify barriers and enablers of diabetic eye screening (DES) attendance amongst young adults with diabetes living in the United Kingdom. METHODS: Semistructured qualitative interviews with adults aged 18-34 years with diabetes. Participants were purposively sampled to aim for representation across gender, geographical locations, diabetes type, years since diabetes diagnosis and patterns of attendance (i.e. regular attenders, occasional non-attenders, regular non-attenders). Data were collected and analysed using the Theoretical Domains Framework (TDF) to explore potential individual, sociocultural and environmental influences on attendance. Data were analysed using a combined deductive and inductive thematic analysis approach. Barriers/enablers were mapped to behaviour change techniques (BCTs) to identify potential strategies to increase attendance. RESULTS: Key barriers to attendance reported by the sample of 29 study participants with type 1 diabetes, fell within the TDF domains: [Knowledge] (e.g. not understanding reasons for attending DES or treatments available if diabetic retinopathy is detected), [Social Influences] (e.g. lack of support following DES results), [Social role and Identity] (e.g. not knowing other people their age with diabetes, feeling 'isolated' and being reluctant to disclose their diabetes) and [Environmental Context and Resources] (e.g. lack of appointment flexibility and options for rescheduling). Enablers included: [Social Influences] (e.g. support of family/diabetes team), [Goals] (e.g. DES regarded as 'high priority'). Many of the reported barriers/enablers were consistent across groups. Potential BCTs to support attendance include Instructions on how to perform the behaviour; Information about health consequences; Social support (practical) and Social comparison. CONCLUSIONS: Attendance to diabetic eye screening in young adults is influenced by a complex set of interacting factors. Identification of potentially modifiable target behaviours provides a basis for designing more effective, tailored interventions to help young adults regularly attend eye screening and prevent avoidable vision loss.

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)0.000
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 score0.033
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.017
GPT teacher head0.282
Teacher spread0.265 · 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 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

Citations22
Published2021
Admission routes1
Has abstractyes

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