Online course to expand occupational therapy practice: education and implementation of occupational therapy in primary care
Bibliographic record
Abstract
Primary care within the United States’ health care system is evolving to address increases in chronic conditions across the lifespan that impact individuals’ daily lives, and the health care system’s performance and cost. Even as interprofessional primary care teams aim to manage a large majority of health needs over time, these teams often lack the skilled professionals necessary to address function in daily life. Occupational therapy’s distinct value as experts in evaluation and intervention for health-related occupational development, adaptation, prevention and management can address this problem. However, continued education and additional tools are necessary in order for occupational therapists to increase their knowledge of the profession’s role in primary care, increase self-efficacy in promoting occupational therapy to stakeholders, and increase self-efficacy to utilize resources for research and establishing occupational therapy in primary care settings. The proposed online course "Occupational Therapy in Primary Care: What, Why, Where, & How?" is specifically targeted to occupational therapists to addresses these outcomes. Theoretical and historical evaluation of occupational therapy in primary care in the United States and Canada supports understanding the problem and mechanisms that can help navigate efforts to include occupational therapy in primary care. Diffusion of Innovations and Adult Learning Theory guide the course’s two-phases of development and dissemination. This project is a timely contribution to the emerging area of occupational therapy in primary care that supports the Institute for Health Care Improvements’ (IHI) Triple Aim to improve the individual experience of care, health of populations and reduce per capita cost of care.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".