Chiropractic Services in the Canadian Armed Forces: A Pilot Project
Bibliographic record
Abstract
This article reports on satisfaction associated with the introduction of chiropractic services within a military hospital, through a Canadian Armed Forces Pilot Project. We distributed a 27-item survey that inquired about demographic information and satisfaction with chiropractic services to 102 military personnel presenting for on-site chiropractic services at the Archie McCallum Hospital in Halifax, Nova Scotia. We provided a second 3-item survey, designed to explore referral patterns and satisfaction with chiropractic services, to all referring military physicians. A multivariable linear regression model was constructed to explore which factors were associated with patients' satisfaction with chiropractic services. The response rate to the patient and physician satisfaction surveys was 67.6% (69 of 102) and 83.3% (10 of 12), respectively. Chronic low back pain accounted for most presentations to the hospital chiropractic clinic. The majority of military personnel (94.2%) and referring physicians (80.0%) expressed satisfaction with chiropractic services. Our adjusted analysis found that older age (beta = -0.37; 95% confidence interval = -0.73 to -0.02) and a presenting complaint of knee pain (beta = -15.56; 95% confidence interval = -29.61 to -1.51) was associated with decreased satisfaction with chiropractic care. Although our finding of high satisfaction with chiropractic services is encouraging, formal studies on functional outcomes and cost effectiveness of chiropractic care are required to better inform the role of chiropractic services in the Canadian Armed Forces.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".