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Record W2087549760 · doi:10.1080/02687038.2014.930262

Measuring outcomes in aphasia research: A review of current practice and an agenda for standardisation

2014· review· en· W2087549760 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.

Bibliographic record

VenueAphasiology · 2014
Typereview
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsAphasiaOutcome (game theory)PsychologySet (abstract data type)Evidence-based practiceSystematic reviewPoolingOutcomes researchMeta-analysisResearch designStakeholderMEDLINEManagement scienceMedicineComputer scienceAlternative medicineCognitive psychologyPolitical sciencePublic relationsEngineeringSociologyArtificial intelligence

Abstract

fetched live from OpenAlex

Background: Aphasia treatment research lacks a uniform approach to outcome measurement. A wide range of outcome instruments are used across trials and there is a lack of research evidence exploring the outcomes most important to stakeholders. This lack of standardisation produces research outcomes that are difficult to compare and combine, limiting the potential to strengthen treatment evidence through meta-analysis and data pooling. The current heterogeneity in aphasia treatment research outcome measurement may be addressed through the development of a core outcome set (COS)—an agreed standardised set of outcomes for use in treatment trials.Aims: This article aims to provide a rationale and agenda for the development of a COS for aphasia treatment research.Main Contribution: A review of the literature reveals heterogeneity in the way outcome measurement is performed in aphasia treatment research. COSs have been developed in a wide range of health fields to introduce standardisation to research outcome measurement. Potential benefits of COSs include easier comparison and combination of research outcomes, improved quality of systematic reviews and greater transparency in research reporting. The use of broad stakeholder consultation also supports the development of research outcomes that are meaningful. It is proposed that a COS for aphasia treatment research could be developed in three stages. First, consensus-based techniques would be used to reach international agreement on the outcomes that are most important to stakeholders. Second, a systematic review and meta-analysis of outcome instruments would provide synthesised evidence to support the choice of tools to most effectively capture the effects of aphasia treatments. Third, final agreement on a COS would be sought through an international consensus conference.Conclusions: There is an identified need for standardisation in the way outcomes are selected and measured in aphasia treatment research. COS development may provide an effective, consensus-based solution to this need.

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)0.031
metaresearch head score (Gemma)0.036
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.966
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0310.036
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.796
GPT teacher head0.681
Teacher spread0.115 · 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