Constraint-induced movement therapy for rehabilitation of arm dysfunction after stroke in adults: an evidence-based analysis.
Bibliographic record
Abstract
OBJECTIVE: The purpose of this evidence-based analysis is to determine the effectiveness and cost of CIMT for persons with arm dysfunction after a stroke. CLINICAL NEED: CONDITION AND TARGET POPULATION A stroke is a sudden loss of brain function caused by the interruption of blood flow to the brain (ischemic stroke) or the rupture of blood vessels in the brain (hemorrhagic stroke). A stroke can affect any number of areas including the ability to move, see, remember, speak, reason, and read and write. Stroke is the leading cause of adult neurological disability in Canada; 300,000 people or 1% of the population live with its effects. Up to 85% of persons experiencing a complete stroke have residual arm dysfunction which will interfere with their ability to live independently. Rehabilitation interventions are the cornerstone of care and recovery after a stroke. CONSTRAINT-INDUCED MOVEMENT THERAPY: Constraint-Induced Movement (CIMT) is a behavioural approach to neurorehabilitation based on the principle of 'learned non-use'. The term is derived from studies in nonhuman primates in which somatosensory deafferentation of a single forelimb was performed and after which the animal then failed to use that limb. This failure to use the limb was deemed 'learned non-use'. The major components of CIMT include: i) intense repetitive task-oriented training of the impaired limb ii) immobilization of the unimpaired arm, and iii) shaping. With regard to the first component, persons may train the affected arm for several hours a day for up to 10-15 consecutive days. With immobilization, the unaffected arm may be restrained for up to 90% of waking hours. And finally, with shaping, the difficulty of the training tasks is progressively increased as performance improves and encouraging feedback is provided immediately when small gains are achieved. RESEARCH QUESTION: What is the effectiveness and cost of CIMT compared with physiotherapy and/or occupational therapy rehabilitative care for the treatment of arm dysfunction after stroke in persons 18 years of age and older? SEARCH STRATEGY: A literature search was performed on January 21, 2011 using OVID MEDLINE, MEDLINE In-Process and Other Non-Indexed Citations, OVID EMBASE, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), and the Cochrane Library, Centre for Reviews and Dissemination. (Appendix 1) A preliminary search completed in August 2010 found a Cochrane Systematic review published in 2009. As a result, the literature search for this evidence-based analysis was designed to include studies published from January 1, 2008 to January 21, 2011. INCLUSION CRITERIA: Systematic reviews of randomized controlled trials with or without meta-analysis.Study participants 18 years of age and older with arm dysfunction after stroke.Studies comparing the use of CIMT with occupational therapy and/or physiotherapy rehabilitative care (usual care) to improve arm function.STUDIES WHICH DESCRIBED CIMT AS HAVING THE FOLLOWING THREE COMPONENTS: i) restraining unimpaired arm and/or wrist with a sling, hand splint or cast; ii) intensive training with functional task practice of the affected arm; iii) application of shaping methodology during training. No restriction was placed on intensity or duration of treatment otherwise.Duration and intensity of therapy is equal in treatment and control groups.Therapy beginning a minimum of one month after stroke.Published between 2008 and 2011. EXCLUSION CRITERIA: Narrative reviews, case series, case reports, controlled clinical trials.Letters to the editorGrey literature.Non-English language publications. PRIMARY OUTCOME: ARM MOTOR FUNCTION: Action Research Arm Test (ARAT) SECONDARY OUTCOME: ARM MOTOR IMPAIRMENT: Fugl-Meyer Motor Assessment (FMA)ACTIVITIES OF DAILY LIVING (ADL): Functional Independence Measure (FIM), Chedoke Arm and Hand InventoryPERCEIVED MOTOR FUNCTION: Motor Activity Log (MAL) Amount of Use (AOU) and Quality of Movement (QOM) scales QUALITY OF LIFE: Stroke Impact Scale (SIS) SUMMARY OF FINDINGS: A significant difference was found in our primary outcome of arm motor function measured with the Action Research Arm Test in favour of CIMT compared with usual care delivered with the same intensity and duration. Significant differences were also found in three of the five secondary outcome measures including Arm Motor Impairment and Perceived Motor Function Amount of Use and Quality of Use. There was a nonsignificant effect found with the FIM score and the quality of life Stroke Impact Scale outcome measure. The nonsignificant effect found with the scale score and the quality of life score may be a factor of a nonresponsive outcome measure (FIM scale) and/or a type II statistical error from an inadequate sample size. The quality of evidence was moderate for arm motor function and low for all other outcome measures except quality of life, which was very low. Table 1:Summary of Results(*)OutcomeOutcome MeasureNumber of Studies (n)Mean Difference in Change scores CIMT vs. Usual Care [95% C.I.]ResultsGRADE Quality of EvidenceArm motor functionAction Research Arm Test4(43)13.6[8.7, 18.6]SignificantModerateArm motor impairmentFugl-Meyer Motor Assessment8(169)6.5[2.3, 10.7]SignificantLowActivities of daily livingFunctional Independence Measure4(128)3.6[-0.22, 7.4]NonsignificantLowSelf-reported amount of arm usePerceived Arm Motor Function (Amount of Use) Scale8(241)1.1[0.60, 1.7]SignificantLowSelf-reported quality of arm usePerceived Arm Motor Function (Quality of Use) Scale8(241)0.97[0.7, 1.3]SignificantLowQuality of lifeStroke Impact Scale2(66)3.9[-5.6, 13.5]NonsignificantVery Low*CI, Confidence Intervals; n, Sample Size.
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.009 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".