The Allied Health Care Professional's Role in Assisting Medical Decision Making at the End of Life
Bibliographic record
Abstract
As a patient approaches the end of life, he or she faces a number of very difficult medical decisions. Allied health care professionals, including speech–language pathologists (SLPs) and occupational therapists (OTs), can be instrumental in assisting their patients to make advance care plans, although their traditional job descriptions do not include this role. The allied health care professional is often in a trusted position, permitting insight into the values and beliefs of the patient and facilitating the depth of communication necessary when making difficult decisions. Professionals who work with clients at the end of life need to be aware of the many issues surrounding end-of-life decision making and the preparation of advance directives for care. This article provides an overview of the complex issues the practicing clinician needs to keep in mind when assisting clients with advance care planning. This service requires that clinicians step outside their roles as rehabilitation experts, a move that is supported by professional associations. The concepts of medical decision making and informed consent are discussed in the context of decisions made in advance of illness at the end of life. The professional needs also to be aware of the legalities of advance decision making, as laws and statutes differ between states/provinces. There are overarching pieces of legislation that inform local legal and policy issues; the impact of these is briefly addressed. Various forms of documenting advance care plans, as well as their strengths and weaknesses, are discussed. Decision models are introduced as a means of guiding the clinician to provide quality care. Means of offering practical assistance to the client, such as motivational interviewing, the careful selection of appropriate educational material, and prevention of undue influence on the patient are discussed. Finally, the role of the allied health care professional in advocating for the client during the implementation is addressed. Understanding how the advance care plan should be implemented when a patient becomes incapable is essential when advocating for and protecting the rights of the patient. When a professional is prepared with the requisite understanding of all of the facets of advance care planning, he or she can become a strong ally for the patient and the family at this very important phase of life.
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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 | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 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".