Issues in Bidding for Contracts for Occupational Therapy Services
Bibliographic record
Abstract
There is an increasing number of occupational therapists in Canada who are involved in bidding for contracts to deliver occupational therapy services. Occupational therapists working in an institutional or community-based setting may not have had the responsibility of developing a proposal or a marketing plan for bidding purposes. However, the responsibility of developing a bid to compete for a service delivery contract often rests on occupational therapists who are sole practitioners in a private practice setting. The purpose of this paper is to highlight issues in the literature such as service delivery plans, marketing strategies and costing of services that can assist the occupational therapist in the development of a contractual bid. A specific clinical example, school therapy services, has been used to illustrate how these strategies can be applied to practice. Success in contractual bids appears to be primarily influenced by cost of the service, the expertise of the service provider, ability to provide coordinated care, ease of access for clients, and inclusion of methods to measure client outcome.
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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 | 0.031 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".