Ecological Momentary Assessment of Real-World Functional Behaviors in Individuals With Stroke: A Longitudinal Observational Study.
Quoc Bui, Katherine J Kaufman, Vy Pham and 7 others
PMID 35278467WHAT IT FOUND
Stroke survivors spent a median 78% of sampled waking time at home and 27% in passive leisure, with only 4% in physical activities.
EMA surveys tracked these real-world patterns reliably, showing higher adherence than prior stroke studies and strong agreement with standard symptom measures.
Key findings
01Participants spent a median 78% of waking sampled time at home and 27% in passive leisure activities, with only 4% in physical activities.
02EMA symptom ratings showed very large correlations with in-laboratory measures for anxiety, depression, pain, fatigue, and cognition.
03Unemployment, mobility device use, and cognitive problems were associated with less vocational activity and more passive leisure in real-world settings.
STILL TO COME
How it was doneWhat they foundWhat it means for PTsWhat it means for OTsWhat it means for SLPs
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What it does not show
The sample was restricted to individuals with mild to moderate stroke who could provide self-reports and use digital devices, excluding those with severe stroke, significant communication difficulties, or severe cognitive impairment. No laboratory-based physical or vocational measures were administered, preventing direct comparison of EMA-reported physical activity with clinical capacity. The survey instruments lacked adequate sensitivity to detect subgroup differences in physical, cognitive, and social activities. A small subset of participants completed the study during the COVID-19 pandemic, which may have influenced daily activity patterns. Participants who dropped out or were excluded had lower cognitive function, potentially biasing the sample toward higher-functioning individuals.
Declared interests
The authors declared no conflicts of interest. The study was supported by NIH and non-U.S. government funding. The EMA app (Status/Post) was modified from a validated survey with developer approval, but no commercial ties to the app developer were reported.
The easy way to misread this
Do not assume that low correlations between EMA and in-laboratory functioning measures indicate poor validity of EMA. The authors suggest these discrepancies reflect the difference between capacity (what a patient can do in a barrier-free clinic) and performance (what they actually do in the real world), not measurement error.