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Record W4226355910

Characteristics of Persons Seeking Care for Moderate to Severe Pain Due to Chronic Low Back Pain and Osteoarthritis: A Cross-Sectional Study

2022· article· en· W4226355910 on OpenAlexaffabout
Yannick Tousignant‐Laflamme, Marc Dorais, Mireille Fernet

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2022
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsPfizer (Canada)Université de SherbrookeUniversité de MontréalCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineOsteoarthritisPhysical therapyQuality of life (healthcare)Chronic painVisual analogue scaleCross-sectional studyAlternative medicineNursing
DOInot available

Abstract

fetched live from OpenAlex

M Gabrielle Pagé,1,2 Yannick Tousignant-Laflamme,3 Marc Dorais,4 Hélène Beaudry,5 Mireille Fernet6 1Research Center, Centre Hospitalier de l’Université de Montréal, Montreal, QC, Canada; 2Department of Anesthesiology and Pain Medicine, Université de Montréal, Montreal, QC, Canada; 3School of Rehabilitation, Université de Sherbrooke, Sherbrooke, QC, Canada; 4StatSciences Inc., Notre-Dame-de-l’Ile-Perrot, QC, Canada; 5Quebec Pain Research Network, Sherbrooke, QC, Canada; 6Medical Affairs Division, Pfizer Canada, Montreal, QC, CanadaCorrespondence: M Gabrielle Pagé, Research Center, Centre hospitalier de l’Université de Montréal, S01-122, St-Antoine Tower, 850 St-Denis, Montreal, QC, H2X 0A9, Canada, Tel +1 514-890-8000, ext. 31601, Email gabrielle.page@umontreal.caPurpose: To assess the associations between pain severity or physical (pQoL) and mental (mQoL) health-related quality of life and disability status or health-care utilization among persons living with moderate/severe pain due to chronic low back pain (CLBP) or osteoarthritis (OA), who received treatments in Quebec’s tertiary care pain centers.Materials and Methods: This retrospective study was carried out using the Quebec Pain Registry (Canada) from 2008 to 2014 and contains data on persons referred to tertiary pain management clinics. Participants were selected if they were diagnosed with CLBP (N = 2663) or OA (N = 139) of more than 3 months duration and of pain intensity ≥ 5 on the Numeric Rating Scale (0– 10) and completed baseline questionnaires.Results: Less than 5% of persons were hospitalized in the 6 months before their first visit at the pain clinic, and 11.9% and 18.9% of persons with OA and CLBP, respectively, had a pain-related emergency room (ER) visit. Less than 1/5 and more than 1/4 of persons with OA and CLBP were receiving disability benefits, respectively. Persons with CLBP who had visited the ER, those on disability and those receiving disability benefits, reported higher levels of pain severity, interference, and lower levels of mQoL (and pQoL for those on disability or receiving benefits) compared to those who did not consult the ER, those not on disability or not receiving disability benefits, respectively (all p < 0.05). For OA, disability status was the only variable associated with pain interference and QoL (all p < 0.05).Conclusion: Pain severity, pain interference and mQoL were associated with health-care utilization and disability status in persons with CLBP. These results were globally not found among persons with OA, which might be due to smaller sample size or unique characteristics of this population.Keywords: osteoarthritis, Quebec Pain Registry, healthcare utilization, back pain, quality of life

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)0.001
metaresearch head score (Gemma)0.003
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 score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.086
GPT teacher head0.474
Teacher spread0.389 · 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".

Quick stats

Citations4
Published2022
Admission routes2
Has abstractyes

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