SMS-text messaging for collecting outcome measures after acute stroke

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

doi:10.3389/fdgth.2023.1043806

Cited by 3 publications

(5 citation statements)

References 35 publications

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“…Another recent study investigated text message–based prompts for obtaining the mRS for patients after discharge from stroke hospitalization. 21 This study demonstrated validity for assessing the mRS score by an automated text messaging platform compared with traditional methods, though the response rate was low (22.8%) at 90 days.…”

mentioning

confidence: 72%

“…Another recent study assessed an automated text message system similar to our program. 21 They enrolled 350 participants to receive 3 sets of text messages at 30‐day intervals after discharge. The intervention showed strong agreement between text‐based and in‐person assessments (κ w =0.80) for both ordinal and dichotomized mRS scores.…”

Section: Discussionmentioning

confidence: 99%

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Text Message–Based Assessment of 90‐Day Modified Rankin Scale After Stroke

Abbasi,

Yuan,

Kasner

et al. 2024

JAHA

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Background The modified Rankin Scale (mRS) is commonly used to measure disability after stroke, traditionally assessed through telephone or in‐person evaluation. Here, we investigated the validity of mRS assessment through an automated text messaging system based on the simplified mRS questionnaire as an alternative method to traditional methods of assessment. Methods and Results A total of 250 patients admitted to 3 hospitals within the University of Pennsylvania Health System with ischemic or hemorrhagic stroke were enrolled. Participants received automated text messages sent 48 hours before their outpatient appointment at about 90 days after stroke. The mRS scores were assigned on the basis of participant responses to 2 to 4 text questions eliciting yes/no responses. The mRS was then evaluated in person or by telephone interview for comparison. Responses were compared with κ. A total of 142 patients (57%) completed the study. The spontaneous response rate to text messages was 46.5% and up to 72% with an additional direct in‐person or phone call reminder. Agreement was substantial (quadratic‐weighted κ=0.87 [95% CI, 0.83–0.89]) between responses derived from the automated text messaging and traditional interviews. Agreement for distinguishing functional independence (mRS 0–1) from dependence (mRS 2–5) was substantial (unweighted κ=0.79 [95% CI, 0.69–0.90]). Conclusions An automated text messaging system is a feasible method for remotely obtaining the mRS after stroke and a potential alternative to traditional in‐person or telephone assessment. Further studies are needed to evaluate the generalizability of text message–based approaches to stroke outcome measurement.

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confidence: 72%

Section: Discussionmentioning

confidence: 99%

Text Message–Based Assessment of 90‐Day Modified Rankin Scale After Stroke

Abbasi,

Yuan,

Kasner

et al. 2024

JAHA

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“…Another more recent study assessed an automated text-message system similar to our program 21 . They enrolled 350 participants to receive 3 sets of text messages at 30 days intervals post-discharge, out of which 85 patients completed the study up to the 90-day assessment.…”

Section: Discussionmentioning

confidence: 99%

Text-message based assessment of 90-day modified Rankin Scale after Stroke

Abbasi,

Yuan,

Kasner

et al. 2023

Preprint

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BackgroundThe modified Rankin scale (mRS) is commonly used to measure disability after stroke, traditionally assessed through telephone or in-person evaluation. Here, we investigated the validity of mRS assessment through automated text-messaging as an alternative method to traditional assessments.MethodsTwo hundred and fifty patients admitted to 3 hospitals within the University of Pennsylvania Health System with ischemic or hemorrhagic stroke were enrolled. Participants received automated text-messages sent 48 hours prior to their outpatient appointment at about 90-days post-stroke. The mRS scores were assigned based on participant responses to 2-4 text questions eliciting yes/no responses. The mRS was then evaluated in-person or by telephone interview for comparison. Responses were compared with kappa(κ).ResultsOne hundred and forty-two patients (57%) completed the study. Spontaneous response rate to text messages was 46% and up to 72% with an additional direct in-person or phone call reminder. Agreement was substantial (quadratic-weighted κ=0.87) between responses derived from the automated text messaging and traditional interviews. Agreement for distinguishing functional independence (mRS 0-2) from dependence (mRS 3-5) was substantial (unweighted κ=0.79).ConclusionAn automated text messaging system is a feasible and highly reliable for determining mRS and can serve as an alternative to traditional in-person or telephone assessment.

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Section: “A Nickel Ain’t Worth a Dime Anymore”mentioning

confidence: 99%

“…To be successful, clinical trials need to be decentralized, so they can effectively enroll representative populations in real-world settings and collect validated outcomes in novel ways that require minimal effort for subjects. 9 What is needed is a radical redesign of the health care delivery system that leverages digital phenotyping with ubiquitous sensors, privacy-preserving edge computing, and connectivity to create equity-first, communitybased, continuous patient engagement strategies that enable patients to overcome all the barriers to achieving better health outcomes. We previously identified a lack of clarity around shared accountability for reducing risk (eg, patients, providers, health systems) and what interventions are practical, cost-effective, and scalable and proposed a new conceptual model for social and behavioral interventions for stroke prevention.…”

Section: "A Nickel Ain't Worth a Dime Anymore"mentioning

confidence: 99%