Recurrence of Work-Related Low Back Pain and Disability
Notice bibliographique
Résumé
In Brief Study Design. Retrospective cohort. Objective. To explore the ability to capture low back pain (LBP) recurrence using wage-replacement (WR) data. Summary of Background Data. LBP can be a recurrent, fluctuating, and disabling condition. Because of its largely nonspecific and subjective nature, the condition poses challenges for research and clinical management, as speaking directly with the affected individuals is not always practical. Little information is available on how indicators of LBP recurrence that can be extracted from administrative databases relate to patients' self-report. Methods. Participants with a compensated claim for work-related LBP (N = 90) were interviewed regarding their LBP-related experiences after their initial return to work. Interview data were compared with WR data, which was provided by the participants' workers' compensation provider. Results. Concordance was observed between WR-based indicators and self-reports of additional time off due to LBP. The best performing WR-based indicator reflected a payment history that began with more than 7 consecutive days of initial WR payments, followed by a gap in WR payments of more than 7 consecutive days, followed by another WR payment period of more than 7 consecutive days (sensitivity = 55%, specificity = 73%, overall accuracy = 69%). Although concordance was observed between the 2 measures of additional time off, the best performing WR indicator was not related to participants' other self-reports of post–return-to-work LBP recurrence which included LBP being significantly worse usual; LBP experiences; seeking health care for LBP; and the experience of difficulties related to the back condition. Conclusion. Results indicate that compensation data can be used to capture what a claimant would self-report as additional time off after their initial return to work due to their LBP condition. However, the use of self-report recurrence indicators is recommended if there is a desire to capture a fuller extent of workers' ongoing pain and/or disability experiences. Level of Evidence: N/A Workers' compensation claimants (N = 90) were interviewed about their post-return-to-work low back pain (LBP) experiences. Interview data were linked with wage-replacement (WR) data and compared for concordance. Although WR-based indicators were found to relate to self-reports of additional time off, no signifi cant relationship was observed when the best performing WR-based indicator was compared with other self-report indicators of LBP recurrence.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».