Outcome
Type |
Measure |
Description |
Time frame |
Safety issue |
Primary |
Quality Indicator (QI) score |
The QI score is a measure used in the inpatient setting at the Shirley Ryan AbilityLab that has replaced the Functional Independence Measure (FIM). The score can be obtained in all patients, regardless of stroke type or deficit. The QI evaluates level of disability, and how much assistance is needed for a subject to perform activities of daily living. Each item is scored ranging from total assistance to total independence. Items include eating, grooming, bathing, dressing, toiling, bladder/bowel management, transfers, locomotion, stairs, comprehension, etc. |
Change from Baseline QI at discharge. Average length of stay is 17 days. |
|
Secondary |
Actigraphy Measures of Sleep Quality |
These small, rugged, actigraphy-based data loggers record a digitally integrated measure of gross motor activity using a highly sensitive accelerometer to calculate objective measures of sleep quality. With each subject movement, an accelerometer generates a variable voltage that is digitally processed and sampled at a frequency of 32 Hz. The signal is integrated over a user-selected epoch and a value expressed graphically as actograms. The Philips Actiwatch can record up to 60 days using 30-second epochs or until data is downloaded. Actigrpahy data can be analyzed to determine sleep duration, sleep efficiency, and WASO. The Phillips Actiwatch will be worn on the non-dominant wrist, unless that arm has limited mobility, in which case the other wrist will be used. |
Continuously during inpatient stay starting with study admission. Average length of stay is 17 days. |
|
Secondary |
Wearable Sensor Platform Measures of Sleep Quality |
Small multi-modality research-grade, wireless, and wearable sensors (MC10 Biostamp, ActiGraph, and ActiLink) will be used to calculate objective measures of sleep quality. The MC10 can be placed simultaneously on body locations, collecting accelerometer, gyroscope, and bio-potential sensor data to provide a more in-depth analysis of heart rate variability across the night. The ActiGraph and ActiLink can be worn on the wrist or waist to collect accelerometer, gyroscope, and magnetometer data as well as light data to determine the brightness of the room. Actigraph management and data analysis are done using SRALab machine learning algorithms specific to stroke. Raw acceleration data will be converted in a measure of sleep latency (how many minutes it takes to fall asleep) |
Continuously during inpatient stay starting with study admission. Average length of stay is 17 days. |
|
Secondary |
Wearable Sensor Platform Measures of Sleep Quality |
Small multi-modality research-grade, wireless, and wearable sensors (MC10 Biostamp, ActiGraph, and ActiLink) will be used to calculate objective measures of sleep quality. The MC10 can be placed simultaneously on body locations, collecting accelerometer, gyroscope, and bio-potential sensor data to provide a more in-depth analysis of heart rate variability across the night. The ActiGraph and ActiLink can be worn on the wrist or waist to collect accelerometer, gyroscope, and magnetometer data as well as light data to determine the brightness of the room. Actigraph management and data analysis are done using SRALab machine learning algorithms specific to stroke. Raw acceleration data will be converted in a measure of sleep efficiency (how many minutes awake divided how many minutes in bed). |
Continuously during inpatient stay starting with study admission. Average length of stay is 17 days. |
|
Secondary |
Wearable Sensor Platform Measures of Sleep Quality |
Small multi-modality research-grade, wireless, and wearable sensors (MC10 Biostamp, ActiGraph, and ActiLink) will be used to calculate objective measures of sleep quality. The MC10 can be placed simultaneously on body locations, collecting accelerometer, gyroscope, and bio-potential sensor data to provide a more in-depth analysis of heart rate variability across the night. The ActiGraph and ActiLink can be worn on the wrist or waist to collect accelerometer, gyroscope, and magnetometer data as well as light data to determine the brightness of the room. Actigraph management and data analysis are done using SRALab machine learning algorithms specific to stroke. Raw acceleration data will be converted in a measure of sleep duration (how many minutes asleep) |
Continuously during inpatient stay starting with study admission. Average length of stay is 17 days. |
|
Secondary |
Wearable Sensor Platform Measures of Sleep Quality |
Small multi-modality research-grade, wireless, and wearable sensors (MC10 Biostamp, ActiGraph, and ActiLink) will be used to calculate objective measures of sleep quality. The MC10 can be placed simultaneously on body locations, collecting accelerometer, gyroscope, and bio-potential sensor data to provide a more in-depth analysis of heart rate variability across the night. The ActiGraph and ActiLink can be worn on the wrist or waist to collect accelerometer, gyroscope, and magnetometer data as well as light data to determine the brightness of the room. Actigraph management and data analysis are done using SRALab machine learning algorithms specific to stroke. Raw acceleration data will be converted in a measure of wake after sleep onset (how many minutes after the sleep onset latency awake) |
Continuously during inpatient stay starting with study admission. Average length of stay is 17 days. |
|
Secondary |
Wearable Sensor Platform Measures of Daytime Activity |
Small multi-modality research-grade, wireless, and wearable sensors (MC10 Biostamp, ActiGraph, and ActiLink) will be used to calculate objective measures of sleep quality. The MC10 can be placed simultaneously on body locations, collecting accelerometer, gyroscope, and bio-potential sensor data to provide a more in-depth analysis of heart rate variability across the night. The ActiGraph and ActiLink can be worn on the wrist or waist to collect accelerometer, gyroscope, and magnetometer data as well as light data to determine the brightness of the room. Actigraph management and data analysis are done using SRALab machine learning algorithms specific to stroke. Raw acceleration data will be converted in a measure of step count. |
Continuously during inpatient stay starting with study admission. Average length of stay is 17 days. |
|
Secondary |
Karolinska Sleep Diary |
This questionnaire calculates the sleep quality index (SQI) using four items: slept throughout, sleep restless, ease falling asleep, and premature awakenings. A higher SQI indicates better sleep quality. Additionally, three items (ease awakening, refreshed, sufficient sleep) yield an awake score with lower scores indicating better sleep. Items have 5-point verbal anchors, and response alternatives vary with each question. It has been correlated with measures from polysomnography to measure sleep quality the night prior to administration. |
Daily during inpatient stay starting with study admission. Average length of stay is 17 days. |
|
Secondary |
Modified Potential Disruptions of Hospital Sleep Questionnaire (PDHSQ) |
This subjective questionnaire asks inpatients how specific items disrupted their sleep the prior night from 1 (not disruptive) to 5 (extremely disruptive). Select items correlate with in-hospital actigraphy, and specific items address rehabilitation. |
Daily during inpatient stay starting with study admission. Average length of stay is 17 days. |
|
Secondary |
Electronic Chart Audit |
We will obtain objective baseline data on orders of nighttime vitals, nocturnal medications that disrupt sleep (heparin q8, nighttime medications, bathing, etc.). |
Daily during inpatient stay starting with study admission. Average length of stay is 17 days. |
|
Secondary |
Apnea-hypopnea index (AHI) |
ApneaLink is a simple, cost-effective, portable device for diagnosing sleep-disordered breathing. The device automatically analyzes and derives an AHI score, flow limitation, snoring information, and oxygen desaturation index. An expert sleep specialist will review the analysis to ensure correct interpretation. Models using time below 90% oxygen or oxygen desaturation index will be considered as a replacement for AHI. |
Daily during inpatient stay starting with study admission. Average length of stay is 17 days. |
|
Secondary |
Stroke Characteristics |
Because stroke characteristics can impact sleep, we will obtain participant data about type of stroke (hemorrhagic/ischemic), stroke location (per CT), stroke deficits (urinary incontinence, aphasia, etc.), stroke severity (based on the NIH Stroke Scale), and presence of recurrent stroke (obtained from chart audit). |
Baseline (upon study admission) |
|
Secondary |
Insomnia Severity Index |
This questionnaire is a 7-item validated screening tool designed to asses the nature, severity, and impact of insomnia in adults. |
Baseline (upon study admission) |
|
Secondary |
Pharmacologic Sleep Aids |
Using the electronic health record and a previously developed University of Chicago chart abstraction tool, a percentage of pharmacologic sleep aids used will be calculated. |
Baseline (upon study admission) |
|
Secondary |
CPAP Adherence |
For patients utilizing a CPAP, device adherence will be collected wirelessly through the device modem. |
Throughout 3 months of follow-up |
|
Secondary |
6-Minute Walk Test with VO2 analysis (6MWT) |
The 6MWT measures the distance a subject can walk indoors on a flat, hard surface in 6 minutes, using assistive devices as necessary. The test is a reliable and valid evaluation of functional exercise capacity and is used as a sub-maximal test of aerobic capacity and endurance. The minimal detectable change for people with sub-acute stroke is 60.98 meters. |
Baseline; Within 7 days; Within 7 days of Discharge; at 1-month post discharge, 2-month post discharge, and 3-month post dischargeMidpoint; Discharge; 1-month, 2-month, and 3-month follow up visits |
|
Secondary |
10-Meter Walk Test (10MWT) |
The 10MWT measures the amount of time it takes to walk 10 meters. Time will be recorded using a stopwatch and recorded to the one hundredth of a second. The effects of acceleration and deceleration are minimized by adding 1 meter at the beginning and end of the course to isolate the subject's steady state speed. The test will be recorded 3 times each at a normal self-selected pace and at a faster pace, with adequate rest in between. Results will be averaged from 3 trials. Any assistive devices or orthotics should be kept consistent throughout and documented. |
Within 7 days; Within 7 days of Discharge; at 1-month post discharge, 2-month post discharge, and 3-month post discharge |
|
Secondary |
Berg Balance Scale (BBS) |
The BBS is a 14-item test, scored on a 5-level ordinal scale and validated against length of stay and discharge destination for stroke patients. It measures functional balance in a clinical setting during static and dynamic tasks (sitting, standing, transitioning from sit to stand, etc.). |
Baseline; Midpoint; Discharge; 1Within 7 days; Within 7 days of Discharge; at 1-month post discharge, 2-month post discharge, and 3-month post discharge-month, 2-month, and 3-month follow up visits |
|
Secondary |
Timed Up and Go (TUG) |
The TUG assesses mobility by measuring the time a person take to rise from a chair, walk 3 meters, turn around, walk back to the chair, and sit down. It can detect longitudinal changes in mobility in stroke patients. The subject wears their routine footwear and orthotics and can use their mobility aids. |
Baseline; Midpoint; DiscWithin 7 days; Within 7 days of Discharge; at 1-month post discharge, 2-month post discharge, and 3-month post dischargeharge; 1-month, 2-month, and 3-month follow up visits |
|
Secondary |
Gait Analysis |
Gait analysis provides a quantitative means of assessing walking function based on spatiotemporal parameters of gait. Subjects walk at both a comfortable and a fast pace over the GaitRite system, an electronic walkway with integrated sensors. Data from GaitRite is reliable and valid for evaluating walking characteristics and provides a gold standard for validating gait parameters from the sensors. For gait analysis, we will focus on 5 parameters: stride time, swing time, stance time, step length, and cadence. |
Baseline; Midpoint; Within 7 days; Within 7 days of Discharge; at 1-month post discharge, 2-month post discharge, and 3-month post dischargeDischarge; 1-month, 2-month, and 3-month follow up visits |
|
Secondary |
Montreal Cognitive Assessment (MoCA) |
The 10-item MoCA assesses several cognitive domains. These include short-term memory recall, visuospatial abilities, executive function, attention, concentration, language and orientation to time and place. |
Baseline; Midpoint; Within 7 days; Within 7 days of Discharge; at 1-month post discharge, 2-month post discharge, and 3-month post dischargeDischarge; 1-month, 2-month, and 3-month follow up visits |
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