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Record W4415137328 · doi:10.1080/2050571x.2025.2568306

‘ <i>The deprioritization of communication care’:</i> barriers to implementing communication care for people with dementia – speech-language pathologists’ consensus

2025· article· en· W4415137328 on OpenAlexafffund
Tami Howe, K E Davies, Jeff Small, I Pillay, Tara Chen

Bibliographic record

VenueSpeech Language and Hearing · 2025
Typearticle
Languageen
FieldHealth Professions
TopicPatient-Provider Communication in Healthcare
Canadian institutionsProvidence Health CareUniversity of British Columbia
FundersMichael Smith Health Research BC
KeywordsDementiaRisk communicationAugmentative and alternative communicationHealth communicationMEDLINE

Abstract

fetched live from OpenAlex

This study aimed to gain a consensus about the most important barriers to implementing evidence-based communication care for people with dementia (PWD) and their families in British Columbia from the perspective of speech-language pathologists (SLPs) with expertise in the area. Unlike previous research, this investigation focused on identifying barriers to providing evidence-based communication care for PWD, rather than barriers to providing speech-language pathology swallowing and communication services to this population. Nine of 13 invited SLPs, with expertise in the area, participated in a nominal group technique study to identify and then rank the ten most important barriers. The ten most important barriers included: inadequate speech-language pathology staffing levels, others’ lack of awareness and understanding of the SLP’s role in providing communication care for PWD, data- and research-related barriers, lack of a communication care pathway for PWD, deprioritization of communication care, and interdisciplinary-related barriers. The deprioritization of communication care may underpin a number of the other barriers identified in this study. Initiatives to improve advocacy, stakeholder collaboration, and improved education about evidence-based communication care for SLPs, speech-language pathology students, and other healthcare workers could help to address some of these barriers and improve services for PWD.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.529
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.040
GPT teacher head0.385
Teacher spread0.345 · 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.

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

Citations0
Published2025
Admission routes2
Has abstractyes

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