Supporting, Promoting, Respecting and Advocating: A Scoping Study of Rehabilitation Professionals’ Responses to Patient Autonomy
Bibliographic record
Abstract
Background: Autonomy is a central concept in both bioethics and rehabilitation. Bioethics has emphasized autonomy as self-governance and its application in treatment decision-making. In addition to discussing decisional autonomy, rehabilitation also focuses on autonomy as functional independence. In practice, responding to patients with diminished autonomy is an important component of rehabilitation care, but also gives rise to tensions and challenges. Our objective was to better understand the complex and distinctive ways that autonomy is understood and upheld in the context of rehabilitation care by reviewing how autonomy is discussed in the rehabilitation literature. Methods: We conducted a scoping review addressing issues of autonomy in the context of mental and physical rehabilitation. Our process followed three sequential steps. We extracted and analyzed bibliometric information. We then examined how autonomy was defined and conceptualized. Finally, we examined how the articles discussed the roles of rehabilitation health professionals in responding to patient autonomy. Findings: The articles include 16 empirical reports, 17 case studies and 30 theoretical papers. The most common conceptual accounts of autonomy drew upon principlism, rights-based and legal analyses, and relational/social approaches. We identified four broad approaches for responding to patient autonomy: supporting, promoting, respecting and advocating. Conclusion: This review helps clarify some of the ambiguities and conceptual distinctions underlying discussions and practices related to autonomy in rehabilitation. It also draws attention to a wide range of activities that health professionals can undertake with the goal of supporting, promoting, respecting and advocating for patient autonomy in rehabilitation care.
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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 | 0.081 | 0.240 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.050 | 0.056 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.004 | 0.002 |
| 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".