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Record W2070177509 · doi:10.1186/1471-2474-13-98

Magnitude of impact and healthcare use for musculoskeletal disorders in the paediaric: a population-based study

2012· article· en· W2070177509 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBMC Musculoskeletal Disorders · 2012
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal Disorders and Rehabilitation
Canadian institutionsPublic Health OntarioToronto Rehabilitation InstituteUniversity of TorontoUniversity Health NetworkChildren's Hospital of Eastern Ontario
FundersOntario Ministry of Health and Long-Term Care
KeywordsMedicineSpecialtyHealth carePopulationAmbulatoryEmergency departmentFamily medicineAmbulatory careOrthopedic surgerySports medicinePediatricsEpidemiologyEmergency medicinePhysical therapyInternal medicinePsychiatryEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: Although musculoskeletal disorders (MSD) are among the most prevalent chronic conditions, minimal attention has been paid to the paediatric population. The aim of this study is to describe the annual prevalence of healthcare contacts for MSD by children and youth age 0-19 years, including type of MSD, care delivery setting and the specialty of the physician consulted. METHODS: Analysis of data on all children with healthcare contacts for MSD in Ontario, Canada using data from universal health insurance databases on ambulatory physician and emergency department (ED) visits, same-day outpatient surgery, and in-patient admissions for the fiscal year 2006/07. The proportion of children and youth seeing different physician specialties was calculated for each physician and condition grouping. Census data for the 2006 Ontario population was used to calculate person visit rates. RESULTS: 122.1 per 1,000 children and youth made visits for MSD. The majority visited for injury and related conditions (63.2 per 1,000), followed by unspecified MSD complaints (33.0 per 1,000), arthritis and related conditions (27.7 per 1,000), bone and spinal conditions (14.2 per 1,000), and congenital anomalies (3 per 1,000). Injury was the most common reason for ED visits and in-patient admissions, and arthritis and related conditions for day-surgery. The majority of children presented to primary care physicians (74.4%), surgeons (22.3%), and paediatricians (10.1%). Paediatricians were more likely to see younger children and those with congenital anomalies or arthritis and related conditions. CONCLUSION: One in eight children and youth make physician visits for MSD in a year, suggesting that the prevalence of MSD in children may have been previously underestimated. Although most children may have self-limiting conditions, it is unknown to what extent these may deter involvement in physical activity, or be indicators of serious and potentially life-threatening conditions. Given deficiencies in medical education, particularly of primary care physicians and paediatricians, it is important that training programs devote an appropriate amount of time to paediatric MSD.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.338
Teacher spread0.319 · 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