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SMS-text messaging for collecting outcome measures after acute stroke
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. METH...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9996089/ https://www.ncbi.nlm.nih.gov/pubmed/36910572 http://dx.doi.org/10.3389/fdgth.2023.1043806 |
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author | DiCarlo, Julie A. Erler, Kimberly S. Petrilli, Marina Emerson, Kristi Gochyyev, Perman Schwamm, Lee H. Lin, David J. |
author_facet | DiCarlo, Julie A. Erler, Kimberly S. Petrilli, Marina Emerson, Kristi Gochyyev, Perman Schwamm, Lee H. Lin, David J. |
author_sort | DiCarlo, Julie A. |
collection | PubMed |
description | 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 ([Formula: see text] = 0.4, p < 0.01 and [Formula: see text] = 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. |
format | Online Article Text |
id | pubmed-9996089 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99960892023-03-10 SMS-text messaging for collecting outcome measures after acute stroke DiCarlo, Julie A. Erler, Kimberly S. Petrilli, Marina Emerson, Kristi Gochyyev, Perman Schwamm, Lee H. Lin, David J. Front Digit Health Digital Health 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 ([Formula: see text] = 0.4, p < 0.01 and [Formula: see text] = 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. Frontiers Media S.A. 2023-02-23 /pmc/articles/PMC9996089/ /pubmed/36910572 http://dx.doi.org/10.3389/fdgth.2023.1043806 Text en © 2023 DiCarlo, Erler, Petrilli, Emerson, Gochyyev, Schwamm and Lin. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Digital Health DiCarlo, Julie A. Erler, Kimberly S. Petrilli, Marina Emerson, Kristi Gochyyev, Perman Schwamm, Lee H. Lin, David J. SMS-text messaging for collecting outcome measures after acute stroke |
title | SMS-text messaging for collecting outcome measures after acute stroke |
title_full | SMS-text messaging for collecting outcome measures after acute stroke |
title_fullStr | SMS-text messaging for collecting outcome measures after acute stroke |
title_full_unstemmed | SMS-text messaging for collecting outcome measures after acute stroke |
title_short | SMS-text messaging for collecting outcome measures after acute stroke |
title_sort | sms-text messaging for collecting outcome measures after acute stroke |
topic | Digital Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9996089/ https://www.ncbi.nlm.nih.gov/pubmed/36910572 http://dx.doi.org/10.3389/fdgth.2023.1043806 |
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