ABSTRACT NUMBER: ESOC2026A379 IMPLEMENTATION AND EVALUATION OF THE STROKE TRIAGE APP: A SEQUENTIAL MIXED-METHOD STUDY AMONG PARAMEDICS ON PREHOSPITAL DIGITAL HEALTH DEPLOYMENT

Abstract Background and aims Digital decision-support tools, such as the Stroke Triage App (STA), may enhance prehospital triage and clinical decision-making for suspected stroke patients. However, implementation of decision-support tools in clinical practice remains insufficiently studied. We aim to investigate the implementation, actual usage and usability of the STA to generate actionable insights for improvement of the STA and similar tools. Methods STA implementation was evaluated among paramedics in two emergency medical services regions in the Netherlands using a sequential mixed-methods approach. Actual usage data were extracted from the STA dashboard. Usability, perceived impact, and contextual factors were explored using an online survey and semi-structured interviews. Results Monthly triages ranged from 52 to 153 (median 120, IQR 107–131). Paramedics’ individual STA use ranged from one to 47 times (median 7, IQR 3–13). Out of 246 paramedics with an account, 76 (31%) completed the survey, nine participated in semi-structured interviews. The STA was generally well accepted, supporting structured neurological assessment and communication. Swift technical support, frequent promotion and use of local ambassadors facilitated STA use, whereas clinical urgency, workflow integration, and less perceived added value influenced STA use. Users recommended improvements in mobile interface, login features and additional explanation with triage advice. Conclusions This study highlights that technical validation alone is insufficient for successful implementation of digital decision-support tools. Adoption and sustained use are shaped by usability, workflow integration, and perceived usefulness. These findings underline the importance of addressing contextual and organizational factors when implementing digital decision-support tools in emergency care. Conflict of interest All authors have nothing to disclose

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Journal
European Stroke Journal
Published
2026-05-01
DOI
https://doi.org/10.1093/esj/aakag023.276
Primary Topic
Cardiac Arrest and Resuscitation
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article
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article

ABSTRACT NUMBER: ESOC2026A379 IMPLEMENTATION AND EVALUATION OF THE STROKE TRIAGE APP: A SEQUENTIAL MIXED-METHOD STUDY AMONG PARAMEDICS ON PREHOSPITAL DIGITAL HEALTH DEPLOYMENT

Henk Kerkhoff, Sandra Sülz, Esmée Venema, Milou Silkens et al.
European Stroke Journal
Cardiac Arrest and Resuscitation
article

ABSTRACT NUMBER: ESOC2026A379 IMPLEMENTATION AND EVALUATION OF THE STROKE TRIAGE APP: A SEQUENTIAL MIXED-METHOD STUDY AMONG PARAMEDICS ON PREHOSPITAL DIGITAL HEALTH DEPLOYMENT

Henk Kerkhoff, Sandra Sülz, Esmée Venema, Milou Silkens, Femke Kremers, Naomi de Ruijter, Bob Roozenbeek, Ellen Hu, Ruben van de Wijdeven
article en

Abstract

Abstract Background and aims Digital decision-support tools, such as the Stroke Triage App (STA), may enhance prehospital triage and clinical decision-making for suspected stroke patients. However, implementation of decision-support tools in clinical practice remains insufficiently studied. We aim to investigate the implementation, actual usage and usability of the STA to generate actionable insights for improvement of the STA and similar tools. Methods STA implementation was evaluated among paramedics in two emergency medical services regions in the Netherlands using a sequential mixed-methods approach. Actual usage data were extracted from the STA dashboard. Usability, perceived impact, and contextual factors were explored using an online survey and semi-structured interviews. Results Monthly triages ranged from 52 to 153 (median 120, IQR 107–131). Paramedics’ individual STA use ranged from one to 47 times (median 7, IQR 3–13). Out of 246 paramedics with an account, 76 (31%) completed the survey, nine participated in semi-structured interviews. The STA was generally well accepted, supporting structured neurological assessment and communication. Swift technical support, frequent promotion and use of local ambassadors facilitated STA use, whereas clinical urgency, workflow integration, and less perceived added value influenced STA use. Users recommended improvements in mobile interface, login features and additional explanation with triage advice. Conclusions This study highlights that technical validation alone is insufficient for successful implementation of digital decision-support tools. Adoption and sustained use are shaped by usability, workflow integration, and perceived usefulness. These findings underline the importance of addressing contextual and organizational factors when implementing digital decision-support tools in emergency care. Conflict of interest All authors have nothing to disclose

European Stroke JournalVol. 11(Supplement_1)
Albert Schweitzer Hospital (GA), Erasmus MC (NL), Albert Schweitzer Ziekenhuis (NL), Erasmus University Rotterdam (NL)
Peace, Justice and strong institutions
Openalex Percentile: Top 7%
Cardiac Arrest and Resuscitation
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