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Record W3013134896 · doi:10.1080/09638288.2020.1743772

A qualitative study of persons with persistent postconcussion symptoms and clinicians with concussion expertise to inform the development of a concussion-specific questionnaire

2020· article· en· W3013134896 on OpenAlexaff
Jacqueline van Ierssel, Jennifer O’Neil, Heidi Sveistrup, Shawn Marshall, Ian D. Graham

Bibliographic record

VenueDisability and Rehabilitation · 2020
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsBruyèreUniversity of OttawaOttawa HospitalChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsConcussionThematic analysisFacilitatorPsychologyClinical psychologyQualitative researchMedicinePoison controlInjury preventionMedical emergency

Abstract

fetched live from OpenAlex

Purpose: To explore the experiences of adults with persistent postconcussion symptoms and clinicians to inform the development of a concussion-specific questionnaire.Methods: Using a qualitative descriptive design, we conducted 10 focus groups with persons with persistent post-concussion symptoms (n = 35; female 66%; age range 19.0–65.1 years) and semi-structured interviews with clinicians with concussion expertise (n = 16; female 81%). Thematic analysis was used to identify themes within their narratives. The International Classification of Functioning, Disability and Health (ICF) provided a standardized language for coding.Results: Three overarching themes emerged from the data: Functioning, Environmental and Personal Factors, and Capacity. Functioning mapped closely onto Activities and Participation within the ICF. Contextual factors, both Environmental and Personal, had a significant influence on functioning following concussion. Capacity was a unique finding that described how long a person is able to engage in a task before the onset or worsening of symptoms.Conclusions: Capacity is fundamental to measuring limitations in functioning based on symptom threshold and time to recovery. The impact of contextual factors on functioning needs to be considered on a continuum from barrier to facilitator. These findings provide the basis for the development of a concussion-specific questionnaire.Implications for RehabilitationClinicians should explore with their patients limitations across all areas of functioning.Clinicians should explore and address support and relationships, attitudes of others, access to affordable and high-quality healthcare, coping strategies, and a patient’s own knowledge of concussion as these influence functioning.Current guidelines recommend a symptom-based approach to concussion management, whereas persons with concussion emphasize the importance of measuring functional capacity.Capacity is defined as the length of time one can perform a task before symptom onset, primarily fatigue.Currently, no concussion-specific measure of functioning exists.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.021
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0110.009
Scholarly communication0.0040.004
Open science0.0020.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.063
GPT teacher head0.377
Teacher spread0.313 · 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 source (direct Gemma or distilled Codex), 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

Citations9
Published2020
Admission routes1
Has abstractyes

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