Occupational Therapy in Integrated Primary Care: Addressing the Needs of Individuals Experiencing Homelessness
Bibliographic record
Abstract
Background: Current health care policy supports occupational therapy services with individuals experiencing homelessness in primary care settings. Research on the impact of interventions is needed to support this emerging practice area. Method: A retrospective, descriptive study was completed following the initiation of full-time occupational therapy services in an integrated primary setting and Federally Qualified Health Center (FQHC) for clients experiencing homelessness. This study evaluated: (a) percentage of referred clients who engaged in ongoing intervention; (b) diagnostic demographics of those referred; (c) functional goal types and frequency; (d) a comparison of preintervention Canadian Occupational Performance Measure (COPM) scores with postintervention scores. Results: Analysis of data revealed clients referred for occupational therapy services present with complex co-morbidities. t tests for matched pairs (p < .05) revealed that participants had a statistically significant improvement in COPM performance scores (69%) and in COPM satisfaction scores (73%) between baseline and postintervention. Diagnostic subgroups had a similar rate of improvement. Analysis of client identified COPM goals revealed a high rate of instrumental activity of daily living focused goals. Conclusion: Integration of full-time occupational therapy services into FQHC settings increases client access to functional-based rehabilitation services that address physical and behavioral health. Individuals experiencing homelessness demonstrate improvement toward functional goals using client-centered goal setting processes and interventions.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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 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".