Best Practices Recommendations for Chiropractic Care for Older Adults: Results of a Consensus Process
Bibliographic record
Abstract
OBJECTIVE: At this time, the scientific evidence base supporting the effectiveness of chiropractic care for musculoskeletal conditions has not yet definitively addressed its appropriateness for older adults. Expert consensus, as a form of evidence, must be considered when higher levels of evidence are lacking. The purpose of this project was to develop a document with evidence-based recommendations on the best practices for chiropractic care of older adults. METHODS: A set of 50 seed statements was developed, based on the clinical experience of the multidisciplinary steering committee and the results of an extensive literature review. A formal Delphi process was conducted, following the rigorous RAND-UCLA (University of California, Los Angeles) methodology. The statements were circulated electronically to the Delphi panel until consensus was reached. Consensus was defined as agreement by at least 80% of the panelists. There were 28 panelists from 17 US states and Canada, including 24 doctors of chiropractic, 1 physical therapist, 1 nurse, 1 psychologist, and 1 acupuncturist. RESULTS: The Delphi process was conducted in January-February 2010; all 28 panelists completed the process. Consensus was reached on all statements in 2 rounds. The resulting best practice document defined the parameters of an appropriate approach to chiropractic care for older adults, and is presented in this article. CONCLUSION: A multidisciplinary panel of experienced chiropractors was able to reach a high level (80%) of consensus on evidence-informed best practices for the chiropractic approach to evaluation, management, and manual treatment for older adult patients.
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".