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Record W2890644144 · doi:10.1097/htr.0000000000000429

Assessment of Users' Needs and Expectations Toward Clinical Practice Guidelines to Support the Rehabilitation of Adults With Moderate to Severe Traumatic Brain Injury

2018· article· en· W2890644144 on OpenAlexaffabout
Marie‐Ève Lamontagne, Mark Bayley, Shawn Marshall, Ailene Kua, Pascale Marier-Deschênes, Anne-Sophie Allaire, Marie-Ève Schmouth, Corinne Kagan, Catherine Truchon, Bonnie Swaine

Bibliographic record

VenueJournal of Head Trauma Rehabilitation · 2018
Typearticle
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsToronto Rehabilitation Institute
Fundersnot available
KeywordsRehabilitationAcquired brain injuryPsychological interventionStakeholderGuidelineMedicineStakeholder engagementPsychologyNursingPhysical therapyPublic relations

Abstract

fetched live from OpenAlex

OBJECTIVE: Stakeholder engagement in clinical practice guideline (CPG) creation is thought to increase relevance of CPGs and facilitate their implementation. The objectives were to survey stakeholders involved in the care of adults with traumatic brain injury (TBI) regarding general perceptions of CPGs, key elements to be included, and needs and expectations about format and implementation strategy. SETTINGS: Hospitals and inpatient and outpatient rehabilitation facilities providing services to persons with TBI. PARTICIPANTS: Stakeholders identified as primary end users of the CPG: clinicians, hospital leaders, health system managers, and funders in Quebec and Ontario (Canada). DESIGN: Cross-sectional online survey conducted between May and September 2014. RESULTS: In total, 332 individuals expressed their needs and expectations. Despite positive perceptions of CPGs, only a small proportion of respondents used them. Intensity and frequency of interventions, behaviors disorders and cognitive function impairment, and social participation and community life were important subjects to cover in the CPG. Finally, respondents asked for specific recommendations including a ranking of recommendations based on level of underlying evidence. CONCLUSION: Respondents have important expectations toward a CPG. We anticipate that early and meaningful engagement of end users could facilitate CPG implementation.

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)0.008
metaresearch head score (Gemma)0.069
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.563
Threshold uncertainty score0.939

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.069
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.177
GPT teacher head0.543
Teacher spread0.366 · 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 designObservational
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
Published2018
Admission routes2
Has abstractyes

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