This study was organized to investigate the real upper limb use in persons after stroke. Persons after stroke often have problems moving their affected arm, leading to limitations in performing simple tasks. In previous research in a group of 60 patients post stroke the investigators investigated two things: they observed how patients can move their affected arm, and the investigators asked patients to indicate how they think they can use their affected arm. Surprisingly, the investigators concluded that in patients with a similar, good observed arm use there were two groups: (1) a 'match' group, reporting they can use their arm well, and (2) a 'mismatch' group, reporting they can not use their arm well. This project will further investigate this last group. The investigators will now use sensor technology to investigate the actual daily life arm use during daily life. The investigators hypothesize this daily arm use will be lower in the mismatch group than in the group with good observed and perceived ability.
The investigators will perform a cross-sectional study to acquire insight into the actual daily-life UL activity profile of patients in the chronic phase post stroke. A sample of 60 community-dwelling patients more than six months after stroke will be recruited and will be investigated with both standardized clinical, patient-reported and sensor-based UL assessments. Our sample will include three groups of 20 patients with (1) both low observed and perceived function; (2) both good observed and perceived function; and (3) good observed but low perceived function, i.e. the mismatch group. To better understand this mismatch group, it is pivotal to investigate daily arm and hand use in patients in the chronic phase after stroke as the investigators expect patients in the mismatch group to have significantly reduced arm and hand use throughout the day. After all, stroke rehabilitation interventions intend to improve patients' performance in daily life, but the objective evaluation of this aim is a challenge. Standardized assessments performed in the rehabilitation environment or patients' home do not validly reflect daily-life upper-limb use. To achieve insight into the observed upper limb function, apart from using internationally accepted observation-based assessments such as the FMA and SIS hand function, monitoring patients after stroke will also be performed using sensor-based systems. The investigators hypothesize the mismatch group will show a comparable daily-life UL activity profile compared to patients with both low observed and perceived function. However, when compared to patients with good observed and perceived function, the mismatch group shows significantly reduced daily-life UL activity by means of sensor-based evaluation.
Study Type
OBSERVATIONAL
Enrollment
60
Accelerometers on both patients' wrists will give insight into the daily life upper limb use.
UZ Leuven
Leuven, Belgium
Fugl-Meyer motor assessment - upper extremity
Investigation of overall motor impairment of the affected upper limb: shoulder, arm, wrist, hand and fingers. Minimum: 0. Maximum: 66. Higher scores mean a better outcome.
Time frame: After inclusion
Stroke Impact Scale 3.0
Self-reported outcome, measuring the impact of a stroke on activities, participation and quality of life, using the most affected body side. Minimum: 0. Maximum: 100, for each of the 9 domains assessed. Higher scores mean a better outcome.
Time frame: After inclusion
Hours of use of each limb
Hours of use of each limb as measured with the accelerometer
Time frame: After 3 days of sensor-based assessment
Use ratio
Dividing hours of use of the affected limb by the hours of use of the non-affected limb
Time frame: After 3 days of sensor-based assessment
Magnitude ratio
The natural log of the vector magnitude of the non-dominant limb (or affected limb) divided by the vector magnitude of the dominant (or non-affected) limb The natural log of the vector magnitude of the non-dominant limb (or affected limb) divided by the vector magnitude of the dominant (or non-affected) limb Natural log of the vector magnitude of the affected divided by the non-affected limb
Time frame: After 3 days of sensor-based assessment
Bilateral magnitude
Sum of the vector magnitude from the two limbs
Time frame: After 3 days of sensor-based assessment
National Institutes of Health Stroke Scale (NIHSS)
Stroke severity. Minimum: 0. Maximum: 42. Higher scores mean worse outcome.
Time frame: After inclusion
Modified Rankin Scale (mRS)
Disability. Minimum: 0. Maximum: 42. Higher scores mean worse outcome. Minimum: 0. Maximum: 6. Higher scores mean worse outcome.
Time frame: After inclusion
Montreal Cognitive Assessment (MoCA)
Cognitive impairment. Minimum: 0. Maximum: 30. Higher scores mean better outcome.
Time frame: After inclusion
Start Cancellation Test (SCT)
Unilateral spatial neglect. Min: 0. Max: 54. Higher scores are better, scores \<44 indicate the presence of USN.
Time frame: After inclusion
Hospital Anxiety and Depression Scale (HADS)
Anxiety and depression. Minimum: 0. Maximum: 42. Higher scores mean worse outcome.
Time frame: After inclusion
Barthel Index (BI)
Independence in activities of daily living. Minimum: 0. Maximum: 100. Higher scores mean better outcome.
Time frame: After inclusion
Functional Ambulation Categories (FAC)
Walking ability. Minimum: 0. Maximum: 5. Higher scores mean better outcome.
Time frame: After inclusion
International Physical Activity Questionnaire (IPAQ)
Patient-reported physical activity. 3 levels, higher levels are better.
Time frame: After inclusion
Motor Activity Log Amount of Use (MAL AOU) - Dutch version
Amount the individual uses the paretic arm. 26 items, per item: min. 0, max. 5. Higher scores mean better outcome.
Time frame: After inclusion
ABILHAND
Self-reported measure of (bi)manual ability in everyday activities. Rasch based logit scale. Higher logit scores mean better outcome.
Time frame: After inclusion
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