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Record W4220828795 · doi:10.1093/jbcr/irac012.003

T4 Validation of the Burn Survivor Fear-avoidance Questionnaire

2022· article· en· W4220828795 on OpenAlexaff
Bernadette Nedelec, Jocelyn Chen, Cassandra Caluori, Laura Alberton, Jinny Zhang, Danielle Shashoua, Valérie Calva, Nathalie Gauthier, Ana de Oliveira, Elisabeth Marois-Pagé

Bibliographic record

VenueJournal of Burn Care & Research · 2022
Typearticle
Languageen
FieldMedicine
TopicBurn Injury Management and Outcomes
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicinePain catastrophizingConstruct validityPhysical therapyBurn injuryBurn centerClinical psychologyChronic painPsychometricsPoison controlSurgeryMedical emergency

Abstract

fetched live from OpenAlex

Abstract Introduction According to the Fear-Avoidance (FA) Model, FA beliefs can lead to disability due to avoidance of activities expected to result in pain or further injury. Extensive research on the relationship of FA, pain, catastrophizing, and disability has been generated with patients suffering from chronic neck and back pain, but little research has been conducted with burn survivors. To address the need for a valid evaluation of FA in burn survivors, Langlois and colleagues developed, but did not validate, the Burn Survivor Fear-Avoidance Questionnaire (BSFAQ). Thus, the primary objective of this study was to investigate the construct validity of the BSFAQ among burn survivors. The secondary objective was to examine the relationship between FA and (i) pain intensity and (ii) catastrophizing at baseline (admission to rehab), 3 months and 6 months post-burn, and (iii) disability among burn survivors at 6 months post-burn. Methods A prospective mixed methods approach was used to examine the construct validity by comparing the quantitative scores of the BSFAQ to independently performed qualitative interviews of burn survivors (n=31) that explored their lived-experiences, to determine if the BSFAQ discriminated those who had, from those who did not have FA beliefs and behaviors. Data for the secondary objective, scores of burn survivors (n=51) pain intensity (measured by the Numeric Rating Scale), catastrophizing (measured by the Pain Catastrophizing Scale), and disability (measured by the Burn Specific Health Scale-brief), were collected through a retrospective chart review. Results For the primary objective, Wilcoxon Rank Sum Test results showed a statistically significant difference (p=0.015) between the BSFAQ scores of participants who were identified from the qualitative interviews as fear-avoidant compared to those who were identified as non-fear-avoidant. For the secondary objective, the Spearman correlation test results showed a moderate correlation between FA and (i) pain at baseline (r=0.466, p=0.002), a moderate correlation with (ii) catastrophizing thoughts over time (r=0.557, p=0.000; r=0.470, p=0.00; r=0.559, p=0.002 respectively at each time point), and a moderate correlation with (iii) disability at 6 months post-burn (r=-0.639, p=0.000). Conclusions These results support that the BSFAQ is able to discriminate which BS are experiencing fear-avoidant beliefs and behaviours. As has been reported in other patient populations, burn survivors who express FA are more likely to report higher levels of pain early during their recovery that correlates with elevated catastrophizing thoughts, which are maintained across time and ultimately results in higher self-reported disability, which is consistent with the FA model.

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)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.050
GPT teacher head0.380
Teacher spread0.330 · 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 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".

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Citations0
Published2022
Admission routes1
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