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Record W4247648027 · doi:10.21203/rs.3.rs-213123/v1

Attitudes Towards Chiropractic: A Repeated Cross-Sectional Survey of Canadian Family Physicians 

2021· preprint· en· W4247648027 on OpenAlexafffundabout
Jason W. Busse, Sushmitha Pallapothu, Brian Vinh, Vivienne Lee, Lina Abril, Albana Canga, John J. Riva, Daniel Viggiani, Marc Dilauro, Marie-Pierre Harvey, Isabelle Pagé, Avneet K. Bhela, Serena Sandhu, Oluwatoni Makanjuola, Muhammad Taaha Hassan, Ainsley Moore, Claude Gauthier, David Price

Bibliographic record

VenueResearch Square (Research Square) · 2021
Typepreprint
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsInstitute for Work & HealthUniversité du Québec à Trois-RivièresUniversity of WaterlooMcMaster University
FundersOntario Chiropractic Association
KeywordsChiropracticFamily medicineMedicineCross-sectional studyHealth careAlternative medicinePhysical therapy

Abstract

fetched live from OpenAlex

Abstract Background: Attitudes of Canadian family physicians towards chiropractic are uncertain. Methods: A 50-item survey administered to a ranmdom sample of Canadian family physcians in 2010, and again in 2019, that inquired about demographic variables, knowledge and use of chiropractic. Imbedded in our survey was an 80-point chiropractic attitude questionnaire (CAQ); higher scores indicated more positive attitudes toward chiropractic. Results: Among eligible physicians, 251 of 685 in 2010 (37% response rate) and 162 of 2,429 in 2019 (7% response rate) provided a completed survey. Approximately half of respondents (48%) endorsed a positive impression of chiropractic, with 27% expressing uncertainty and 25% holding negative views. Most respondents (72%) referred patients for chiropractic care, mainly due to patient request or lack of response to medical care. Most physicians believed that chiropractors provide effective therapy for some musculoskeletal complaints (84%) and disagreed that chiropractic care was beneficial for non-musculoskeletal conditions (77%). The majority agreed that chiropractic care was a useful supplement to conventional care (65%) but most respondents (59%) also indicated that practice diversity within the chiropractic profession presented a barrier to interprofessional collaboration. In our adjusted regression model, attitudes towards chiropractic showed trivial improvement from 2010 to 2019 (0.31 points on the CAQ; 95%CI 0.001 to 0.62). More negative attitudes were associated with older age (-1.55 points for each 10-year increment from age 28; 95%CI -2.67 to -0.44), belief that adverse events are common with chiropractic care (-1.41 points; 95% CI -2.59 to -0.23) and reported use of the research literature (-6.04 points; 95% CI -8.47 to -3.61) or medical school (-5.03 points; 95% CI = -7.89 to -2.18) as a source of knowledge on chiropractic. More positive attitudes were associated with endorsing a relationship with a specific chiropractor (5.24 points; 95% CI 2.85 to 7.64), family and friends (4.06 points; 95% CI 1.53 to 6.60), or personal treatment experience (4.63 points; 95% CI 2.14 to 7.11) as sources of information regarding chiropractic.Conclusions: Although generally positive, Canadian family physicians’ attitudes towards chiropractic are diverse, and most physicians acknowledge that practice diversity within the chiropractic profession presents a barrier to 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 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)0.005
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 score0.015
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.250
GPT teacher head0.496
Teacher spread0.246 · 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

Citations2
Published2021
Admission routes3
Has abstractyes

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