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Record W2970315028 · doi:10.1136/bmjopen-2019-029851

Understanding patient profiles and characteristics of current chiropractic practice: a cross-sectional Ontario Chiropractic Observation and Analysis STudy (O-COAST)

2019· article· en· W2970315028 on OpenAlexafffundabout
Silvano Mior, Jessica J. Wong, Deborah Sutton, Peter J. H. Beliveau, André Bussières, Sheilah Hogg‐Johnson, Simon French

Bibliographic record

VenueBMJ Open · 2019
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsInstitute for Work & HealthMcGill University Health CentreQueen's UniversityCentre for Disability Prevention and RehabilitationUniversité du Québec à Trois-RivièresCanadian Memorial Chiropractic College
FundersOntario Chiropractic AssociationQueen's University
KeywordsChiropracticMedicineFamily medicineObservational studyCross-sectional studyHealth careDescriptive statisticsMedical diagnosisAlternative medicinePhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: There is no current detailed profile of people seeking chiropractic care in Canada. We describe the profiles of chiropractors' practice and the reasons, nature of the care provided to their patients and extent of interprofessional collaborations in Ontario, Canada. DESIGN: Cross-sectional observational study. SETTING: Primary care setting in Ontario, Canada. PARTICIPANTS: We randomly recruited chiropractors from a list of registered chiropractors (n=3978) in active practice in 2015. Of the 135 randomly selected chiropractors, 120 were eligible, 43 participated and 42 completed the study. OUTCOME MEASURES: Each chiropractor recorded information for up to 100 consecutive patient encounters, documenting patient health profiles, reasons for encounter, diagnoses and care provided. Descriptive statistics summarised chiropractor, patient and encounter characteristics, with analyses accounting for clustering and design effects. RESULTS: Chiropractors provided data on 3523 chiropractor-patient encounters. More than 65% of participating chiropractors were male, mean age 44 years and had practised on average 15 years. The typical patient was female (59% of encounters), between 45 and 64 years (43%) and retired (21%) or employed in business and administration (13%). Most (39.4%) referrals were from other patients, with 6.8% from physicians. Approximately 68% of patients paid out of pocket or claimed extended health insurance for care. Most common diagnoses were back (49%, 95% CI 44 to 56) and neck (15%, 95% CI 13 to 18) problems, with few encounters related to maintenance/preventive care (0.86%, 95% CI 0.2 to 3.9) and non-musculoskeletal problems (1.3%, 95% CI 0.7 to 2.3). The most common treatments included spinal manipulation (72%), soft tissue therapy (70%) and mobilisation (35%). CONCLUSIONS: This is the most comprehensive profile to date of chiropractic practice in Canada. People who present to Ontario chiropractors are mostly adults with a musculoskeletal condition. Our results can be used by stakeholders to make informed decisions about workforce development, education and healthcare policy related to chiropractic care.

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 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)0.002
metaresearch head score (Gemma)0.001
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 score0.007
Threshold uncertainty score0.513

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.181
GPT teacher head0.432
Teacher spread0.251 · 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 teacher head, 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

Citations53
Published2019
Admission routes3
Has abstractyes

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