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Record W4412184096 · doi:10.1111/jar.70095

Exploring Barriers to Mammography Access for Women With Intellectual Disabilities: A Meta‐Synthesis of the Perspectives of Four Stakeholder Groups

2025· review· en· W4412184096 on OpenAlexaff
Adam Pitt, Suzanne Hodge

Bibliographic record

VenueJournal of Applied Research in Intellectual Disabilities · 2025
Typereview
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsLearning Partnership
Fundersnot available
KeywordsPsychosocialIntellectual disabilityAttendanceMammographyHealth carePopulationStakeholderPsychologyThematic analysisMedicineBreast cancerNursingPsychiatryQualitative researchPublic relationsCancerSociologyPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Breast cancer is as frequent in women with intellectual disabilities as the general population, but the mammography uptake rate for women with intellectual disabilities is almost a third lower. This meta-synthesis aimed to explore physical and psychosocial barriers to mammography access for women with intellectual disabilities from the perspectives of the women themselves, healthcare professionals, paid carers and family members. METHOD: A systematic search of six databases yielded 12 papers for thematic synthesis review. RESULTS: Three analytic themes were developed: (i) knowing what to expect; (ii) knowing who will assume responsibility and (iii) making adjustments. CONCLUSIONS: Mammography screening elicits anxiety from both women with intellectual disabilities and their supporters (whether paid, family or healthcare professional). A formulation-based approach to mammography attendance may help to provide tailored information to women with intellectual disabilities, whilst easing the pressures placed upon their support network and healthcare professionals.

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)0.040
metaresearch head score (Gemma)0.093
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.040
Threshold uncertainty score0.211

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0400.093
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0070.011
Bibliometrics0.0110.009
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.484
GPT teacher head0.438
Teacher spread0.046 · 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 designSystematic review
Domainnot available
GenreReview

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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