Treatment preferences amongst physical therapists and chiropractors for the management of neck pain: results of an international survey
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".