Abstract
Introduction: Robust outcome data collection is critical for stroke care and clinical trials. However, reaching patients after discharge from acute care is challenging. This study examined the feasibility, acceptability, and accuracy of collecting outcomes through a text message-based program after stroke. Methods: Patients discharged between June 8 th , 2020 and February 1 st , 2021 from Massachusetts General Hospital with an ICD-10 Code of stroke who consented to receiving messages, were enrolled in a message-based program upon acute stroke discharge. Participants received weekly brain health tips and assessments of the Modified Rankin Scale (mRS) and PROMIS Global-10 at 30, 60, and 90 days post-stroke via text message prompts. Participants were sent a satisfaction survey upon program conclusion. Data from routine 90-day follow-up phone calls were extracted from clinical charts of patients discharged during a representative 3 month period for comparison. Descriptive statistics, group comparisons, and inter-modal reliability (text message versus phone) were performed. Results: Of 530 patients with stroke discharged during the study period, 350 enrolled in the message program. Forty-one percent of the patients answered one or more of the assessment prompts. The 90-day mRS collected by messaging was 1[0-3] and the PROMIS Global Physical and Mental Health were 15[12.5-17] and 13[11-16], respectively. We reached 104/169 (61.54%) patients by phone. There were no statistically significant differences on 90-day outcome scores between those who responded via messages or phone. Inter-modal reliability (message versus phone) was moderate for mRS (κ=.521) but poor for PROMIS scores (κ<.1). Nearly all participants (90%) felt it was helpful to receive information about stroke via messages and found the program adequate (63%) and not burdensome (94%). Discussion: Post-stroke outcomes data collection via text-messaging is feasible, acceptable, and moderately accurate compared to phone-based methods. Inter-modal reliability was higher for functional outcomes as compared to PROMs. Further validation of specific measures is required; yet, these findings suggest that future programs could use messaging to identify patients at risk for poor outcome.
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