A Survey of American Chiropractic Association Members’ Experiences, Attitudes, and Perceptions of Practice in Integrated Health Care Settings
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study is to examine the self-report of experiences, attitudes, and perceived educational needs of American Chiropractic Association members regarding practice in integrated health care settings. METHODS: This was a descriptive observational study of the American Chiropractic Association members. Participants completed an electronic survey reporting their current participation and interest in chiropractic integrated practice. RESULTS: The survey was completed in 2011 by 1142 respondents, for a response rate of 11.8%. The majority of respondents (82.9%) did not currently practice in an integrated setting, whereas 17.1% did. Those practicing in various integrated medical settings reported delivering a range of diagnostic, therapeutic, and case management services. Participation in administrative and scholarly activities was less common. Respondents not practicing in integrated settings reported being interested in delivering a very similar array of clinical services. Doctors of chiropractic practicing in hospital or outpatient medical facilities reported frequent engagement in interprofessional collaboration. Both nonintegrated and integrated respondents reported very similar educational interests on a range of clinical topics. CONCLUSION: The findings of this survey provide insight into the experiences, participation, and interests in integrated clinical practice for members of the American Chiropractic Association.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".