MétaCan
Menu
Back to cohort
Record W4394851332 · doi:10.1016/j.bas.2024.102812

Prevalence and characteristics of healthcare utilization with different providers among Canadians with chronic back problems: A population-based study

2024· article· en· W4394851332 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

VenueBrain and Spine · 2024
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsOntario Tech UniversityCanadian Memorial Chiropractic CollegeUniversity of Toronto
FundersCanadian Institutes of Health ResearchEuropean Chiropractors' UnionUniversity of Ontario Institute of Technology
KeywordsChiropracticMedicineHealth carePoisson regressionFamily medicineSocioeconomic statusPopulationAlternative medicineEnvironmental health

Abstract

fetched live from OpenAlex

Introduction: Understanding healthcare utilization by Canadians with back problems informs healthcare planning nationally. Research question: What is the prevalence of utilization of healthcare providers (medical doctors, chiropractors, physiotherapists, nurses), and associated characteristics among Canadians with chronic back problems (2001-2016)? Material and methods: This population-based study used Canadian Community Health Survey data (2001-2016) restricted to respondents with chronic back problems (aged ≥12 years). We used self-reported consultation with healthcare providers (medical doctors, chiropractors, physiotherapists, nurses) from 2001-2010, and self-reported regular healthcare provider from 2015-2016. We calculated the 12-month prevalence of utilization with providers, and used modified Poisson regression to assess sociodemographic, health-related and behavioural factors associated with utilization of different providers. Results: From 2001 to 2010 and 2015/2016, respectively, prevalence of utilization of medical doctors was 87.9% (95% CI 87.6-88.2) and 86.7% (95% CI 85.9-87.5); chiropractors 24.0% (95% CI 23.6-24.4) and 14.5% (95% CI 13.8-15.3); physiotherapists 17.2% (95% CI 16.9-17.6) and 10.7% (95% CI 10.0-11.4); nurses 14.0% (95% CI 13.7-14.2) and 6.6% (95% CI 6.1-7.0). Females were more likely to see any provider than males. Persons of lower socioeconomic status were less likely to consult chiropractors or physiotherapists (2001-2016), or nurses (2001-2010). Immigrants were less likely to consult chiropractors or nurses. Persons aged >65 years were less likely to consult chiropractors or physiotherapists, and those with fair/poor general health were less likely to consult chiropractors, but more likely to consult other providers. Discussion and conclusion: Medical doctors were most commonly consulted by Canadians with back problems, then chiropractors and physiotherapists. Characteristics of healthcare utilization varied by provider. Findings inform the need to strengthen healthcare delivery for Canadians with back problems.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.048
Threshold uncertainty score0.630

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.013
GPT teacher head0.267
Teacher spread0.255 · 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