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Record W6977441165 · doi:10.6084/m9.figshare.c.5638389

The association between chiropractors’ view of practice and patient encounter-level characteristics in Ontario, Canada: a cross-sectional study

2021· other· en· W6977441165 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2021
Typeother
Languageen
FieldComputer Science
TopicInformation and Cyber Security
Canadian institutionsnot available
Fundersnot available
KeywordsChiropracticLogistic regressionOdds ratioAssociation (psychology)Multilevel modelConfoundingOddsMEDLINE

Abstract

fetched live from OpenAlex

Abstract Background Chiropractors have diverse views of practice, but the impact on their patient profiles and treatment approaches remains unclear. We assessed the association between chiropractors’ view of practice (unorthodox versus orthodox) and patient encounter-level characteristics among chiropractors who practice in Ontario, Canada. Methods We conducted a cross-sectional study using Ontario Chiropractic Observation and Analysis STudy (O-COAST) data. In O-COAST, Ontario chiropractors were randomly recruited from a list of registered chiropractors in 2015 and recorded up to 100 consecutive patient encounters. We classified chiropractors’ response regarding their views of practice as unorthodox when viewing “vertebral subluxation as an encumbrance to health that is corrected to benefit overall well-being”; other views were considered orthodox. Patient encounter-level characteristics included: (1) non-musculoskeletal reason-for-encounter; (2) subluxation as diagnosis; (3) duration of encounter (log-transformed for modeling); (4) unimodal manipulative treatment; and (5) patient health characteristics (good health status, some activity limitations). We conducted multilevel logistic regression to assess the association between view of practice and aforementioned characteristics, accounting for potential confounders and clustering of encounters within chiropractors. The multilevel models had two levels (level 1—patient encounter level; level 2—chiropractor level), with level 1 patient encounters nested within level 2 chiropractors. Results We included 40 chiropractors (mean age = 43.4 years, SD = 11.5) and 3,378 chiropractor-patient encounters. The 2,332 unique patients identified had a mean age of 48.5 years (SD = 18.5). Chiropractors with unorthodox views had higher odds of having patients with a non-musculoskeletal reason-for-encounter (adjusted odds ratio (aOR) 16.5, 95% CI 3.2–84.0) and subluxation as diagnosis (aOR 63.0, 95% CI 4.2–949.1). Encounters of chiropractors with unorthodox views were 0.6 times shorter than those with orthodox views (95% CI 0.4–0.9). Chiropractor level explained 32%, 75%, and 49% of the variability in non-musculoskeletal reason-for-encounter, subluxation as diagnosis, and encounter duration, respectively. We observed no association between unorthodox view and unimodal manipulative treatment or patient health characteristics. Conclusions Chiropractors’ unorthodox view of practice was associated with treating non-musculoskeletal conditions, subluxation as diagnosis, and shorter duration of encounter. Chiropractor level explained a high proportion of variability in these outcomes. Findings have implications for understanding chiropractic practice and informing interprofessional collaboration.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.723
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.000

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 head0.032
GPT teacher head0.268
Teacher spread0.236 · 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.

Study designNot applicable
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

Citations0
Published2021
Admission routes1
Has abstractyes

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