Legislative Barriers and Legislative Changes for Physical Therapy During the Opioid Crisis in the US and Canada
Bibliographic record
Abstract
The opioid crisis has led to tens of thousands of deaths over the last couple of decades, most notably in the United States (US) and Canada. While the opioid problem may have begun in the US, it quickly crossed borders and is now a global health issue. This is an ongoing crisis resulting in the search for and implementation of solutions for preventing and treating addiction to these drugs. Physical therapy is one such treatment. The profession’s focus on pain management, improvement of quality of life, and the patient’s active participation in their own treatment without the use of medication is vital for improving pain treatment and reducing the need for opioids. Despite the profession’s focus on pain management, the reason opioid prescribing became excessive, there has been little inclusion of physical therapy in treatment programs and few law changes to improve access to their services throughout the opioid crisis. The case studies in this research focus on Ontario, Canada and Ohio, US which were chosen because of similarities in the demographics between the two regions as well as similar law changes that will help assess how the healthcare and political system affected the barriers presented to the physical therapy profession in each region. A comparison was conducted of the two most recent law changes for physical therapy in each respective region: the 1991 Physiotherapy Act and the 2009 revision of said Act in Ontario; and the 2004 and 2019 revisions to the Ohio physical therapy laws. The comparison of the laws within each distinct region will add to existing knowledge of barriers to physical therapy by discovering what barriers exist for the physical therapy profession at the legislative level and how they have changed during the opioid crisis. Interviews were conducted with physical therapists in Ohio that had varying experience with legislation. Additionally, one interview with a member of the College of Physiotherapists of Ontario was also conducted. In addition to interviews, an examination of other primary sources included the proposed laws at various stages of the process; government reports; official transcripts for debates and formal submissions to legislative committees in Ontario; and recordings of legislative sessions in Ohio. Secondary sources consisted of journal articles; academic books; newspaper articles; and news releases and reports from the Ohio Physical Therapy Association, the Ohio State Medical Association, Ontario Physiotherapy Association, and College of Physiotherapists of Ontario. The healthcare system in which a health profession exists has a significant impact on the barriers they face for legislative change. Physicians had greater influence on legislation for physical therapy in Ohio and used that influence to block proposed law changes for physical therapy. Based on the comparison between the process in both regions, it was determined to be mostly due to the designation of physical therapy as a specialty care versus primary care and the differences in documentation of arguments. Ontario uses formal written submissions for arguments and considers physical therapists primary care, while in Ohio unrecorded meetings are the means of discussion and physical therapy is designated a specialty care. These two factors, specialty care and unrecorded arguments, create an environment in which physical therapists are unable to gain the political influence necessary to reduce barriers for physical therapy services.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".