Enhancing Access to Physical Therapy Services for People Experiencing Poverty and Homelessness: The Lighthouse Pilot Project
Bibliographic record
Abstract
Purpose: Our aim was to reveal client and provider perspectives on the impact of enhancing access to physical therapy services in a primary health care community-based setting. Method: Clients of The Lighthouse Supported Living facility in Saskatoon, Saskatchewan, who accessed physical therapy services over a 4-month pilot period and health care providers (physical therapists and a nurse practitioner) provided qualitative data (through interviews and an online discussion board). Client demographics, health condition, perceived function, quality of life, and satisfaction were obtained through chart review and questionnaires. Results: Forty-seven clients ranging in age from 21 to 72 years (mean 47 y) participated in the pilot project. Most presented with a musculoskeletal issue (85.1%). Analysis of the qualitative data gathered from client and provider participants revealed the following four overarching themes: (1) complex health challenges, unmet needs; (2) overcoming access barriers and impact of physical therapy services; (3) respecting and responding to context and environment; and (4) moving forward to enhance access to physical therapy care. Conclusions: Individuals experiencing homelessness and poverty face diverse barriers to accessing physical therapy services, including transportation, cost, wait times, and geographical location. Clients who accessed physical therapy services at The Lighthouse perceived a positive impact on their overall health, function, and wellness.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".