Attitudes, beliefs, and practices among Swiss chiropractors regarding medication prescribing for musculoskeletal conditions: a national Q-methodology study
Bibliographic record
Abstract
BACKGROUND: Swiss chiropractors have been licensed since 1995 to prescribe from a limited formulary of medications for treating musculoskeletal (MSK) conditions. In January 2018, this formulary was expanded to include additional muscle relaxant, analgesic, and anti-inflammatory medications. Internationally, controversy remains over whether or not medication prescribing should be pursued within the chiropractic profession. OBJECTIVE: The purpose of this study was to assess Swiss chiropractors' attitudes, beliefs, and practices regarding their existing medication prescription privileges. This information will provide new insights on the topic and help inform research and policy discussions about expanding chiropractic prescription rights in other jurisdictions. METHODS: A 13-item questionnaire and Q-methodology approach were used to conduct the assessment. Recruitment was conducted by e-mail between December 2019 and February 2020, and all members of the Swiss Chiropractic Association were eligible to participate. Data were analyzed using by-person factor analysis and descriptive statistics. RESULTS: In total, 187 Swiss chiropractors participated in this study (65.4% response rate). Respondents reported prescribing analgesics, anti-inflammatories, and muscle relaxants to a median of 5, 5, and 0% of patients, respectively. Forty-two percent of respondents expressed interest in further expanding the range of current medications available to Swiss chiropractors for treating MSK conditions. Only 15% expressed interest in expanding this range to include medications for treating non-MSK conditions. In the Q-methodology analysis, four salient viewpoints/groups regarding medication prescribing emerged: prescribers, non-prescribers, collaborators, and integrators. All except non-prescribers thought medication prescription privileges were advantageous for the chiropractic profession in Switzerland. There was also strong consensus among all four groups that medication prescribing should not replace manual therapy in chiropractic practice. CONCLUSION: This was the first national survey on attitudes toward prescribing medications among Swiss chiropractors since the year 2000, and the first using Q-methodology. With this approach, four unique groups of chiropractic prescribers were identified. Even with diversity among clinicians, the findings of this study showed general support for, along with conservative use of, prescribing privileges within the Swiss chiropractic profession. Studies in jurisdictions outside of Switzerland are needed to assess whether chiropractors are interested in expanding their scopes of practice to include similar prescribing privileges.
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".