Self-reported attitudes, skills and use of evidence-based practice among Swiss chiropractors: a national survey
Bibliographic record
Abstract
STUDY OBJECTIVES: The high burden of disease associated with musculoskeletal disorders severely impacts patients' well-being. As primary care providers, Swiss chiropractors ought to contribute towards identifying and using effective treatment strategies. An established approach is the full integration of evidence-based practice (EBP). This study aimed to investigate the attitudes, skills and use of EBP among Swiss chiropractors, as well as investigating potential facilitators and barriers for its adoption. METHODS AND MATERIAL: All 329 members of the Swiss Association of Chiropractic (ChiroSuisse) were invited in March 2021 to participate in this cross-sectional survey. Data were acquired anonymously online, using the Evidence-Based practice Attitude and utilization SurvEy (EBASE). The survey encompassed 55 questions measuring attitudes (n = 8, response range 1-5; total score range of 8-40), skills (n = 13, response range 1-5; total score range of range of 13-65) and use of EBP (n = 6, response range 0-4; total score range of 0-24). RESULTS: 228 (69.3%) chiropractors returned complete EBASE questionnaires. This sample was representative of all ChiroSuisse members with respect to gender, age groups and proportion of chiropractic residents. Respondents generally held positive attitudes towards EBP, as indicated by the high mean (31.2) and median (31) attitude sub-score (range 11-40). Self-reported skills had a mean sub-score of 40.2 and median of 40 (range 13-65). Knowledge about EBP-based clinical practice had been primarily obtained in chiropractic under- or postgraduate education (33.8% and 26.3%, respectively). Use of EBP achieved a lower sub-score, with mean and median values of 7.4 and 6, respectively (range 0-24). The most commonly identified barriers preventing EBP uptake were lack of time (67.9%) and lack of clinical evidence in chiropractic/manual therapy-related health fields (45.1%). CONCLUSION: Swiss chiropractors held favourable attitudes and reported moderate to moderate-high skill levels in EBP. Nevertheless, similar to chiropractors in other countries, the self-reported use of EBP was relatively low, with lack of time and lack of clinical evidence being the most named barriers.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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".