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Treatment preferences amongst physical therapists and chiropractors for the management of neck pain: results of an international survey

2020· other· en· W6921129986 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueFigshare · 2020
Typeother
Languageen
FieldEngineering
TopicCivil and Structural Engineering Research
Canadian institutionsWestern UniversityMcMaster UniversitySt Joseph's Health CareUniversity Health Network
Fundersnot available
KeywordsNeck painWhiplashPsychological interventionManual therapyModalitiesChiropracticAcupunctureAlternative medicineMEDLINE

Abstract

fetched live from OpenAlex

Abstract Background Clinical practice guidelines on the management of neck pain make recommendations to help practitioners optimize patient care. By examining the practice patterns of practitioners, adherence to CPGs or lack thereof, is demonstrated. Understanding utilization of various treatments by practitioners and comparing these patterns to that of recommended guidelines is important to identify gaps for knowledge translation and improve treatment regimens. Aim To describe the utilization of interventions in patients with neck pain by clinicians. Methods A cross-sectional international survey was conducted from February 2012 to March 2013 to determine physical medicine, complementary and alternative medicine utilization amongst 360 clinicians treating patients with neck pain. Results The survey was international (19 countries) with Canada having the largest response (38%). Results were analyzed by usage amongst physical therapists (38%) and chiropractors (31%) as they were the predominant respondents. Within these professions, respondents were male (41-66%) working in private practice (69-95%). Exercise and manual therapies were consistently (98-99%) used by both professions but tests of subgroup differences determined that physical therapists used exercise, orthoses and ‘other’ interventions more, while chiropractors used phototherapeutics more. However, phototherapeutics (65%), Orthoses/supportive devices (57%), mechanical traction (55%) and sonic therapies (54%) were not used by the majority of respondents. Thermal applications (73%) and acupuncture (46%) were the modalities used most commonly. Analysis of differences across the subtypes of neck pain indicated that respondents utilize treatments more often for chronic neck pain and whiplash conditions, followed by radiculopathy, acute neck pain and whiplash conditions, and facet joint dysfunction by diagnostic block. The higher rates of usage of some interventions were consistent with supporting evidence (e.g. manual therapy). However, there was moderate usage of a number of interventions that have limited support or conflicting evidence (e.g. ergonomics). Conclusions This survey indicates that exercise and manual therapy are core treatments provided by chiropractors and physical therapists. Future research should address gaps in evidence associated with variable practice patterns and knowledge translation to reduce usage of some interventions that have been shown to be ineffective.

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.

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)0.000
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: Dataset · Consensus signal: none
Teacher disagreement score0.807
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.000

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 head0.050
GPT teacher head0.284
Teacher spread0.234 · 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