Abstract Background and aims Population ageing and shortages of healthcare professionals are increasing pressure on stroke aftercare. More patients are discharged home directly, however over half continue to experience persistent symptoms like fatigue, anxiety, and depression. Although all patients with ischemic stroke receive at least one outpatient follow-up, this care is often insufficiently personalized. Hence, a digital pathway for stroke patients post-discharge was developed to provide personalized aftercare while reducing clinical staff burden. This pathway integrates disease-specific protocols, education, monitoring, self-management tools, and an option for direct contact with healthcare professionals. By supporting patients at home, it can reduce hospital visits, provide timely support, and strengthen patients’ confidence in managing their recovery. Methods Using Quadruple Aim model to evaluate the impact of stroke digital pathway in terms of patient outcomes, satisfaction, healthcare professional experience, and the number of healthcare visits and costs. Results This is a cohort study employing a repeated-measures design for patient and healthcare professional groups. A total of 170 patients (74 intervention group and 96 control group (for propensity score matching)) and all interested healthcare professionals working with the stroke digital pathway will be recruited between February 2026 and October 2026, in 9 hospitals across the Netherlands. Primary outcomes include changes over time in the Quadruple Aim, assessed at baseline, three months, and one year. Conclusions Results will help optimize the stroke digital pathway for patient aftercare, improve healthcare professional experience and reduce the number of healthcare visits and costs. Conflict of interest
Building similarity graph...
Analyzing shared references across papers
Loading...
Lina Bareišytė
Erasmus MC
Christina Bode
University of Twente
Anne van Dongen
University of Twente
European Stroke Journal
Erasmus University Rotterdam
Erasmus MC
University of Twente
Building similarity graph...
Analyzing shared references across papers
Loading...
Bareišytė et al. (Fri,) studied this question.
synapsesocial.com/papers/69fd7fcdbfa21ec5bbf085ca — DOI: https://doi.org/10.1093/esj/aakag023.2046