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Record W3196939047 · doi:10.1044/2021_jslhr-20-00683

Core Outcome Set Use in Poststroke Aphasia Treatment Research: Examining Barriers and Facilitators to Implementation Using the Theoretical Domains Framework

2021· article· en· W3196939047 on OpenAlexaff
Sarah J. Wallace, Tanya Rose, Linda Worrall, Guylaine Le Dorze, Kirstine Shrubsole

Bibliographic record

VenueJournal of Speech Language and Hearing Research · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsUniversité de MontréalCentre for Interdisciplinary Research in Rehabilitation
Fundersnot available
KeywordsAphasiaFacilitatorPsychologySet (abstract data type)Outcome (game theory)Descriptive statisticsApplied psychologyClinical psychologyCognitive psychologySocial psychologyComputer science

Abstract

fetched live from OpenAlex

Purpose A core outcome set (COS; an agreed minimum set of outcomes) was developed to address the heterogeneous measurement of outcomes in poststroke aphasia treatment research. Successful implementation of a COS requires change in individual and collective research behavior. We used the Theoretical Domains Framework (TDF) to understand the factors influencing researchers' use and nonuse of the Research Outcome Measurement in Aphasia (ROMA) COS. Method Aphasia trialists and highly published treatment researchers were identified from the Cochrane review of speech and language therapy for aphasia following stroke and through database searches. Participants completed a theory-informed online survey that explored factors influencing COS use. Data were analyzed using descriptive statistics and qualitative content analysis. Results Sixty-four aphasia researchers from 13 countries participated. Most participants (81%) were aware of the ROMA COS, and participants identified more facilitators than barriers to its use. The TDF domain with the highest agreement (i.e., facilitator) was "knowledge" (84% agree/strongly agree). Participants had knowledge of the measures included in the ROMA COS, their associated benefits, and the existing recommendations. The TDF domains with the least agreement (i.e., barriers) were "reinforcement" (34% agree/strongly agree); "social influences" (41% agree/strongly agree); "memory, attention, and decision processes" (45% agree/strongly agree); and "behavioral regulation" (49% agree/strongly agree). Hence, participants identified a lack of external incentives, collegial encouragement, and monitoring systems as barriers to using the ROMA COS. The suitability and availability of individual measurement instruments, as well as burden associated with collecting the COS, were also identified as reasons for nonuse. Conclusions Overall, participants were aware of the benefits of using the ROMA COS and believed that its implementation would improve research quality; however, incentives for routine implementation were reported to be lacking. Findings will guide future revisions of the ROMA COS and the development of theoretically informed implementation strategies. Supplemental Material https://doi.org/10.23641/asha.16528524.

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)0.017
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.762
Threshold uncertainty score0.904

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.616
GPT teacher head0.623
Teacher spread0.007 · 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 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

Citations14
Published2021
Admission routes1
Has abstractyes

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