Barriers to the Implementation of Constraint-Induced Movement Therapy Into Practice
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Constraint-induced movement therapy (CIMT) has been studied for many years in the treatment of the hemiplegic upper extremity (UE). However, there has been limited adoption of the protocol in daily practice. METHODS: In this article, we review the CIMT literature specifically for meta-analysis, randomized controlled trials (RCTs), recent case reports, case series, and pilot studies of CIMT in the adult poststroke population to identify barriers to implementation. RESULTS: The following barriers have been identified: (a) limited generalizability, (b) resource intensity, (c) therapist factors, (d) patient factors, and (e) uncertainty regarding the emerging debate that the gains seen may be a result of intense, task-specific therapy focused on the use of the more affected UE and not specific to the protocol. CONCLUSIONS: CIMT has positive outcomes in the treatment of a select group of stroke survivors. Many national guidelines of stroke rehabilitation recommend that CIMT be used when appropriate, however adoption into practice has been limited. The issue of generalizability is being addressed by expanding protocol application to other populations. Resource intensity, with respect to cost and therapist time, is a major concern and has lead to the development of novel modes of service delivery. The benefit seen with CIMT may actually be the result of exposure to intense, task-specific therapy with a focus on the use of the more affected UE, but more research into this area is needed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it