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Record W2962304775 · doi:10.1186/s12998-019-0259-6

Chiropractic services in the active duty military setting: a scoping review

2019· review· en· W2962304775 on OpenAlexafffundabout
Silvano Mior, Deborah Sutton, Carol Cancelliere, Simon French, Anne Taylor‐Vaisey, Pierre Côté

Bibliographic record

VenueChiropractic & Manual Therapies · 2019
Typereview
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsCentre for Disability Prevention and RehabilitationOntario Tech UniversityCanadian Memorial Chiropractic College
FundersOntario Chiropractic AssociationUniversity of Ontario Institute of TechnologyFoundation for Advancement of Chiropractic Education
KeywordsChiropracticMedicineDutyRehabilitationAlternative medicineActive dutyMilitary personnelPhysical therapyMedical educationPhysical medicine and rehabilitationPathology

Abstract

fetched live from OpenAlex

Background: Musculoskeletal injuries are one of the most prevalent battle and non-battle related injuries in the active duty military. In some countries, chiropractic services are accessed to manage such injuries within and outside military healthcare systems; however, there is no recent description of such access nor outcomes. This scoping review aimed to synthesize published literature exploring the nature, models, and outcomes of chiropractic services provided to active duty military globally. Method: We employed scoping review methodology. Systematic searches of relevant databases, including military collections and hand searches were conducted from inception to October 22, 2018. We included peer-reviewed English literature with qualitative and quantitative designs, describing chiropractic practice and services delivered to active duty military worldwide. Paired reviewers independently reviewed all citations and articles using a two-phase screening process. Data from relevant articles were extracted into evidence tables and sorted by study type. Results were descriptively analyzed. Results: We screened 497 articles and 20 met inclusion criteria. Chiropractic services were commonly provided on-base only in the US. Services were accessed by physician referral and commonly after initiation or non-response to other care. Use of scope of practice was determined by the system/facility, varying from intervention specific to comprehensive services. Back pain with and without radiculopathy accounted for most complaints. Treatment outcomes were reported primarily by case reports. However, two recent randomized trials reported improved pain, disability, and satisfaction when adding chiropractic care to usual medical care compared to usual medical care alone in management of low back pain. Specific reaction time measures in special operation forces military did not improve after chiropractic care compared to wait-list control. Conclusions: Our scoping review found the majority of published articles described chiropractic services in the active duty military in the US setting. Recent RCTs suggest a benefit of including chiropractic care to usual medical care in managing back pain in active duty military. Yet despite reported benefits in Australia, Canada, and the US, there is a need for further qualitative, descriptive, and clinical trial data worldwide to inform the role of chiropractic services in active duty military.

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)0.012
metaresearch head score (Gemma)0.068
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.022
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.068
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.005
Bibliometrics0.0220.023
Science and technology studies0.0020.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0040.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.059
GPT teacher head0.409
Teacher spread0.350 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations20
Published2019
Admission routes3
Has abstractyes

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