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Record W1488508015 · doi:10.1080/02687038.2015.1065468

Decision-making capacity and aphasia: speech-language pathologists’ perspectives

2015· article· en· W1488508015 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAphasiology · 2015
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAphasiaPsychologySpeech-Language PathologyLinguisticsCognitive psychology

Abstract

fetched live from OpenAlex

Background: In health care settings, a person’s ability to make decisions may be questioned as a result of neurological disease or injury that can affect cognitive function. To determine whether a person is able to make a decision, health care professionals are required to carry out an assessment of decision-making capacity (DMC; also known as capacity assessments). For individuals with aphasia, these types of assessment may be problematic because they rely heavily on language abilities. There is a growing body of literature available on capacity assessments of individuals with aphasia, yet there are few studies on the perspectives of speech-language pathologists (SLPs) related to DMC assessments of individuals with aphasia, including barriers and facilitators to valid assessments.Aims: The purpose of this study was to explore perspectives of SLPs on assessments of DMC with individuals with aphasia. The following research questions were of interest: (1) What do SLPs know about capacity assessment? (2) What are the perspectives of SLPs regarding the current state of capacity assessment of individuals with aphasia? (3) What recommendations do SLPs have regarding the assessment of DMC of persons with aphasia (PWA)?Methods and Procedures: In the context of a qualitative research paradigm, researchers carried out semi-structured interviews with 15 SLPs in Alberta, Canada. An interpretive description design was used for data analysis and interpretation.Outcomes and Results: Participants discussed three major topics: (1) knowledge of capacity of assessments; (2) assessments of DMC and PWA; and (3) involvement of SLPs in capacity assessments. Participants had very general knowledge of capacity assessments. Participants reported that they thought that PWA were at a disadvantage during capacity assessments. Participants recognised that SLPs have professional skills that enable them to enhance assessment of DMC in PWA. The results of this study confirm and extend findings from other international research studies.Conclusions: SLPs should be involved in capacity assessments for PWA. Their knowledge in the areas of communication and cognition are important to facilitate fair, valid capacity assessments. The findings of this study may be used to inform recommendations for SLPs to assume different roles in the capacity assessment process.

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.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.881
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.067
GPT teacher head0.403
Teacher spread0.335 · 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