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Record W4321490091 · doi:10.1093/jbcr/irad025

Validation of the Burn Survivor Fear-Avoidance Questionnaire and Its Association With Pain Intensity, Catastrophizing, and Disability

2023· article· en· W4321490091 on OpenAlexaff
Jocelyn Chen, Cassandra Caluori, Laura Alberton, Jinny Zhang, Danielle Shashoua, Valérie Calva, Nathalie Gauthier, Zoë Edger-Lacoursière, Ana de Oliveira, Elisabeth Marois-Pagé, Bernadette Nedelec

Bibliographic record

VenueJournal of Burn Care & Research · 2023
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsCentre Hospitalier de l’Université de MontréalMcGill University
Fundersnot available
KeywordsPain catastrophizingMedicineConstruct validityPhysical therapyBurn injuryBurn centerClinical psychologyChronic painPoison controlPsychometricsSurgery

Abstract

fetched live from OpenAlex

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 this need, the Burn Survivor FA Questionnaire (BSFAQ) was developed (Langlois J, Vincent-Toskin, S, Duchesne, P et al. Fear-avoidance beliefs and behaviors of burn survivors: A mixed-methods approach. Burns 2021;47:175-89.) but has not been validated. 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 1) pain intensity and 2) catastrophizing at baseline, 3 months and 6 months postburn, and 3) disability among burn survivors at 6 months postburn. 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. Data for the secondary objective, scores of burn survivors (n = 51) pain intensity (numeric rating scale), catastrophizing (pain catastrophizing scale), and disability (Burn Specific Health Scale-brief), were collected through a retrospective chart review. For the primary objective, Wilcoxon rank sum test results showed a statistically significant difference (P = .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, with a receiver operating characteristic curve indicating that the BSFAQ correctly predicted FA 82.4% of the time. For the secondary objective, Spearman correlation test results showed a moderate correlation between FA and 1) pain at baseline (r = .466, P = .002), 2) catastrophizing thoughts over time (r = .557, P = .000; r = .470, P = .00; r = .559, P = .002 respectively at each time point), and 3) disability at 6 months postburn (r = -.643, P = .000). These results support that the BSFAQ is able to discriminate which burn survivors are experiencing FA beliefs. It is also consistent with the FA model since burn survivors who express FA are more likely to report higher levels of pain early during their recovery that correlates with persistently elevated catastrophizing thoughts and ultimately results in higher self-reported disability. The BSFAQ demonstrates construct validity and is able to correctly predict fear-avoidant burn survivors; however, additional research is required to further examine the BSFAQ's clinimetric properties.

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)0.010
metaresearch head score (Gemma)0.015
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 score0.010
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.344
Teacher spread0.318 · 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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Citations4
Published2023
Admission routes1
Has abstractyes

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