SMS-text messaging for collecting outcome measures after acute stroke

Julie A DiCarlo; Kimberly S Erler; Marina Petrilli; Kristi Emerson; Perman Gochyyev; Lee H Schwamm; David J Lin

doi:10.3389/fdgth.2023.1043806

SMS-text messaging for collecting outcome measures after acute stroke

Front Digit Health. 2023 Feb 23:5:1043806. doi: 10.3389/fdgth.2023.1043806. eCollection 2023.

Authors

Julie A DiCarlo¹, Kimberly S Erler², Marina Petrilli², Kristi Emerson¹, Perman Gochyyev², Lee H Schwamm^{1

3}, David J Lin^{1

2}

Affiliations

¹ Department of Neurology, Massachusetts General Hospital, Boston, MA, United States.
² School of Health and Rehabilitation Sciences, MGH Institute of Health Professions, Boston, MA, United States.
³ Digital Enterprise Service, Mass General Brigham, Somerville, MA, United States.

Abstract

Introduction: Traditional methods for obtaining outcomes for patients after acute stroke are resource-intensive. This study aimed to examine the feasibility, reliability, cost, and acceptability of collecting outcomes after acute stroke with a short message service (SMS)-text messaging program.

Methods: Patients were enrolled in an SMS-text messaging program at acute stroke hospitalization discharge. Participants were prompted to complete assessments including the modified Rankin scale (mRS) and Patient-Reported Outcomes Measurement (PROM) Information System Global-10 at 30, 60, and 90 days postdischarge via SMS-text. Agreement and cost of SMS-text data collection were compared to those obtained from traditional follow-up methods (via phone or in the clinic). Participant satisfaction was surveyed upon program conclusion.

Results: Of the 350 patients who agreed to receive SMS texts, 40.5% responded to one or more assessments. Assessment responders were more likely to have English listed as their preferred language (p = 0.009), have a shorter length of hospital stay (p = 0.01), lower NIH stroke scale upon admission (p < 0.001), and be discharged home (p < 0.001) as compared to nonresponders. Weighted Cohen's kappa revealed that the agreement between SMS texting and traditional methods was almost perfect for dichotomized (good vs. poor) (κ = 0.8) and ordinal levels of the mRS score (κ = 0.8). Polychoric correlations revealed a significant association for PROM scores ( $ρ$ = 0.4, p < 0.01 and $ρ$ = 0.4, p < 0.01). A cost equation showed that gathering outcomes via SMS texting would be less costly than phone follow-up for cohorts with more than 181 patients. Nearly all participants (91%) found the program acceptable and not burdensome (94%), and most (53%) felt it was helpful. Poststroke outcome data collection via SMS texting is feasible, reliable, low-cost, and acceptable. Reliability was higher for functional outcomes as compared to PROMs.

Conclusions: While further validation is required, our findings suggest that SMS texting is a feasible method for gathering outcomes after stroke at scale to evaluate the efficacy of acute stroke treatments.

Keywords: SMS-text; digital health; outcomes; recovery; stroke.

Grants and funding

This research was funded in part by a gift from Marriott Foundation.