A Good Investment: Expanding Capacity to Care for Older Adults in the Home and Community Care Sector Through Increased Personal Support Worker Wages
Bibliographic record
Abstract
Most older adults prefer to age in place, which for many will require home and community care (HCC) support. Unfortunately, HCC capacity is insufficient to meet demand due in part to low wages, particularly for personal support workers (PSWs) who provide the majority of paid care. Using Ontario as a case study, this paper estimates the cost and capacity impacts of implementing wage parity between PSWs employed in HCC and institutional long-term care (ILTC). Specifically, we consider the cost of increased HCC PSW wages versus expected savings from avoiding unnecessary ILTC placement for those accommodated by HCC capacity growth. The expected increase in HCC PSW retention would create HCC capacity for approximately 160,000 people, reduce annual health system costs by approximately $7 billion, and provide an 88 per cent return on investment. Updating wage structures to reduce turnover and enable HCC capacity growth is a cost-efficient option for expanding health system capacity.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".