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Semester 5 FSNM Exam 6 > Discussion Questions for Articles > Flashcards

Discussion Questions for Articles Flashcards

1
Q

Systematic Review - Models to predict functional outcomes after stroke - What 2 measures did they use as dependent variables

A

Barthel Index

Functional Independence Measure

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2
Q

Barthel Index - measures what

A

ability to perform 10 ADLs and they are assessed as either dependent or independent

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3
Q

Barthel Index - higher score indicates

A

Greater functional ability

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4
Q

FIM - measures what

A

Rather than disability, this one looks more at burden of care

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5
Q

FIM - higher score indicates

A

greater functional independence

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6
Q

Systematic Review - Models to predict functional outcomes after stroke - the authors categorized variables from previous research into what four groups

A

Stroke characteristics and consequences
Medical history/Comorbidities/Risk Factors/Bio Markers
Demographic/Social Data
Processes of Care

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7
Q

Systematic Review - Models to predict functional outcomes after stroke - the admission FIM was found to be a significant predictor of function at time of discharge what percentage of the time

A

90%

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8
Q

Systematic Review - Models to predict functional outcomes after stroke - The higher the FIM score at time of acute care discharge was associated with what

A

a higher FIM score at time of discharge from inpatient rehab

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9
Q

Systematic Review - Models to predict functional outcomes after stroke - What variables did the authors find to be best at predicting level of function at time of DC from IPT rehab?

A 
Age
NIHSS
BI (assessed at acute discharge) 
FIM (assessed at acute discharge) 
OAI
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10
Q

Systematic Review - Models to predict functional outcomes after stroke - are variables related to past/prior medical condition useful in predicting post-rehab function

A

Generally poor predictors with the exception of a previous stroke

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11
Q

Systematic Review - Models to predict functional outcomes after stroke - Which demographic variable was strongly associated with functional outcome?

A

Age (age especially)
Ethnicity
Sex

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12
Q

Systematic Review - Models to predict functional outcomes after stroke - What does OAI stand for?

A

The time between stroke onset and rehab admission

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13
Q

Systematic Review - Models to predict functional outcomes after stroke - Relationship with OAI and functional outcome

A

Negatively associated with each other

less time between, or lower the OAI - the better the functional outcome

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14
Q

Quinian - Neural function, injury and stroke subtype predict tx gains after stroke - How does this study differ from the systematic review?

A

1 - Examines pts 3-6 months post stroke (versus at dc from acute hospital)
2 - Experiment with intervention vs. systematic review
3 - Uses similar, but different measures as predictors of treatment gain (measure of brain injury and neural/cortical function)

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15
Q

Quinian - Neural function, injury and stroke subtype predict tx gains after stroke - How did the authors define brain injury

A

Image acquisition and analysis
Infarct volume
Gray matter injury
White matter injury

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16
Q

Quinian - Neural function, injury and stroke subtype predict tx gains after stroke - What is the different between the measures of brain injury and cortical function

A

Brain injury - looked at image acquisition and analysis, infarct volume, gray matter and white matter injury
Cortical function - looked at image acquisition and analysis
With cortical function the image acquisition was taken with T2 weighted and was done while the subjects were visually guided to use the paretic distal UE for a grasp release movement
Also, with cortical function, the image analysis looked at activation versus injury

17
Q

Quinian - Neural function, injury and stroke subtype predict tx gains after stroke - What is cortical connectivity

A

Tries to determine the continuity of neural pathways - the correlation between two areas

18
Q

Quinian - Neural function, injury and stroke subtype predict tx gains after stroke - With visually guided mvoement we would expect higher correlations between what what

A

Visual cortex and parietal cortex

19
Q

Quinian - Neural function, injury and stroke subtype predict tx gains after stroke - With this study what cortical connectivity did they look at

A

Premotor and primary motor areas

They looked at this connection ipsilesionally and contralaterally

20
Q

Quinian - Neural function, injury and stroke subtype predict tx gains after stroke - What is the ARAT

A

Action Reach Arm Test

21
Q

Quinian - Neural function, injury and stroke subtype predict tx gains after stroke - How did they use the ARAT in this study

A

As an assessment of impairment
Performed with Fugl Meyer once at baseline and again 1-3 wks later to ensure stability of motor status
Also assessed before and 1 month after the 3 week course of robotic therapy

22
Q

Quinian - Neural function, injury and stroke subtype predict tx gains after stroke - Greater ipsilesional MI - contralesional MI functional connectivity each significantly predicted

A

larger treatment induced behavioral gains

23
Q

Quinian - Neural function, injury and stroke subtype predict tx gains after stroke - 3 categories had at least 1 variable that significantly predicted tx induced bx gains - what was the most significant bivariate predictor of gains?

A

Percentage CST injury determined by lesion overlap

24
Q

Quinian - Neural function, injury and stroke subtype predict tx gains after stroke - Main findings

A

Response to restorative therapy after a stroke is best predicted by a model that includes measures of both neural injury and function
Neuroimaging measures were the best predictors

25
Q

Harrison - Assessment scales in stroke - Scale domains move from what to what as the subject progresses

A

impairment to activity/participation as the subject progresses

26
Q

Quinian - Neural function, injury and stroke subtype predict tx gains after stroke - Examples of impairment scales

A 
GCS
MRC
NIHSS
MOCA
Days 0-7
27
Q

Quinian - Neural function, injury and stroke subtype predict tx gains after stroke - Examples of activity/participation scales

A 
mRS
modified ashworth
ARAT
Anxiety and depression screens
Euro-QOL
Driving assessments
Days 30-120
28
Q

Quinian - Neural function, injury and stroke subtype predict tx gains after stroke - Responsiveness of a scale is what

A

the ability to detect meaningful change over time

Especially important for conditions like stroke that have high incidence and prevalence

29
Q

Quinian - Neural function, injury and stroke subtype predict tx gains after stroke - Reliability is what

A

a measure of consistency of scoring

30
Q

Quinian - Neural function, injury and stroke subtype predict tx gains after stroke - Differences between scales

A

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Semester 5 FSNM Exam 6 (3 decks)

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