Opening the black box of cognitive rehabilitation: Integrating the ICF, RTSS, and PIE
Bibliographic record
Abstract
BACKGROUND: Cognitive rehabilitation is a complex and specialized area of practice, as it aims to support individuals with diverse neuropsychological profiles, personal characteristics, and intersectionalities in achieving meaningful, functional change in personally relevant aspects of their everyday lives. In many ways, cognitive rehabilitation is the epitome of a 'black box': it has complicated internal processes that are mysterious to users. We argue that this complex practice has suffered from a lack of specificity of clinical processes and treatment components, resulting in negative consequences for both providers and clients. AIM: To unpack the black box of cognitive rehabilitation by describing a unifying set of frameworks that can effectively direct clinical practice across clinical disciplines: the International Classification of Functioning, Disability, and Health (ICF), the Rehabilitation Treatment Specification System (RTSS), and the Planning, Implementation, and Evaluation framework (PIE). We present a clinical case that illustrates the application of the three frameworks. CONCLUSION: Implementation of these three integrated frameworks supports clinical reasoning, replication of treatments, and communication across disciplines with the ultimate impact of improving rehabilitation outcomes. The frameworks provide a structure for clinicians to clearly define both the what and the how of treatment, with a level of specificity to maximize both effectiveness and efficiency of intervention.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".