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Record W4221029596 · doi:10.2147/ceor.s348138

Health-Related Quality of Life of Patients Presenting to the Emergency Department with a Musculoskeletal Disorder

2022· article· en· W4221029596 on OpenAlexafffund

Bibliographic record

VenueClinicoEconomics and Outcomes Research · 2022
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsHEC MontréalCentre hospitalier de l'Université LavalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalCentre for Interdisciplinary Research in RehabilitationUniversité LavalCentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean
FundersCanadian Institutes of Health ResearchUniversité Laval
KeywordsEmergency departmentQuality of life (healthcare)Musculoskeletal painMusculoskeletal disorderMusculoskeletal injury

Abstract

fetched live from OpenAlex

Background: Musculoskeletal disorders (MSKDs) are among the most disabling and costly non-fatal health conditions. They may lead to long-term consequences such as chronic pain, physical limitations, and poorer quality of life. They also account for a significant proportion of emergency department visits, representing between 18% and 25% of all visits, depending on country. Purpose: To assess the health-related quality of life of patients presenting to the emergency department with a MSKD, to convert their answers to utility scores and to explore the association between diverse socio-demographic and clinical variables and patients’ health-related quality of life. Patients and Methods: This is an analysis of cross-sectional data obtained during the baseline assessment performed as part of a 6-month pragmatic randomized controlled trial conducted in an academic emergency department. We included patients aged 18– 80 years with a minor MSKD. The main outcome measures were health-related quality of life (five dimensions: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression) and utility scores (− 0.148 – worse than death, 0 – dead, 0.949 – perfect health) measured with the EQ-5D-5L. Possible associations were explored by comparing scores across subgroups based on certain socio-demographic (eg, age, gender, triage score) and clinical factors (eg, pain interference on function, pain intensity) and with reference values using descriptive statistics (mean, median), rankFD ANOVAs, and χ 2 tests. Results: Sixty-nine participants completed the EQ-5D-5L. Mean and median utility scores were, respectively, 0.536 (95% CI: 0.479– 0.594) and 0.531 (IQR: 0.356– 0.760). Participants with higher levels of pain (< 4/10: 0.741, 95% CI: 0.501– 0.980; 4– 7/10: 0.572, 0.500– 0.644; > 7/10: 0.433, 0.347– 0.518) or pain interference on function (< 4/10: 0.685, 95% CI: 0.605– 0.764; 4– 7/10: 0.463, 0.394– 0.533; > 7/10: 0.294, 0.126– 0.463) presented significantly lower utility scores. No significant differences were found for other socio-demographic characteristics. Conclusion: In patients with MSKDs who present to the emergency department, higher levels of pain or pain interference are associated with decreased health-related quality of life. These findings need to be confirmed on a larger scale. Keywords: EQ-5D-5L, quality of life, pain, emergency services, musculoskeletal disorders

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)0.002
metaresearch head score (Gemma)0.004
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 score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.056
GPT teacher head0.432
Teacher spread0.376 · 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

Citations8
Published2022
Admission routes2
Has abstractyes

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