Identifying sports chiropractic global research priorities: an international Delphi study of sports chiropractors
Bibliographic record
Abstract
Objectives: Developing a research agenda is one method to facilitate broad research planning and prioritise research within a discipline. Despite profession-specific agendas, none have specifically addressed the research needs of the specialty of sports chiropractic. This study determined consensus on research priorities to inform a global sports chiropractic research agenda. Methods: A Delphi consensus methodology was used to integrate expert opinions. Clinicians, academics and leaders from the international sports chiropractic specialty were recruited using purposive sampling to participate in (1) a Delphi panel involving three voting rounds to determine consensus on research priorities and (2) a priority importance ranking of the items that reached consensus. Results: We identified and contacted 141 participants, with response rates for rounds 1, 2 and 3, of 44%, 31% and 34%, respectively. From the original 149 research priorities, 66 reached consensus in round 1, 63 in round 2 and 45 items in round 3. Research priorities reaching consensus were collapsed by removing redundancies, and priority ranking identified 20 research priorities, 11 related to collaboration and 6 to research themes. Conclusions: The top-ranked items for research priorities, research themes and collaborations included the effects of interventions on performance, recovery and return to play; clinical research in sport; and collaborations with researchers in chiropractic educational institutions, respectively. Implications: The prioritisation of research items can be evaluated by key stakeholders (including athletes) and implemented to develop the first international research agenda for sports chiropractic.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.030 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.000 | 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 teacher head, 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".