Evidence map›Paper›PMID 39962069›Full record

ArticleScientific reports2025

First experience in employing a complex digital support system accompanied by personal assistance to improve aftercare in patients with stroke or transient ischemic attack - results of the PostStroke-Manager feasibility study.

Dominik Michalski, Joseph Classen, Daniela Geisler, Daniela Urban, Max Schreiber, Jean-Baptiste Tylcz, Richard Schmidt, Alexander Prost, Till Handel, Andreas Schneider and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Dominik MichalskiDepartment of Neurology, University of Leipzig, Liebigstr. 20, 04103, Leipzig, Germany. dominik.michalski@medizin.uni-leipzig.de.
Joseph ClassenDepartment of Neurology, University of Leipzig, Liebigstr. 20, 04103, Leipzig, Germany.
Daniela GeislerDepartment of Neurology, University of Leipzig, Liebigstr. 20, 04103, Leipzig, Germany.
Daniela UrbanDepartment of Neurology, University of Leipzig, Liebigstr. 20, 04103, Leipzig, Germany.
Max SchreiberInnovation Center Computer Assisted Surgery, University of Leipzig, Semmelweisstr. 14, 04103, Leipzig, Germany.
Jean-Baptiste TylczInnovation Center Computer Assisted Surgery, University of Leipzig, Semmelweisstr. 14, 04103, Leipzig, Germany.
Richard SchmidtDepartment of Neurology, University of Leipzig, Liebigstr. 20, 04103, Leipzig, Germany.
Alexander ProstDepartment of Neurology, University of Leipzig, Liebigstr. 20, 04103, Leipzig, Germany.
Till HandelInnovation Center Computer Assisted Surgery, University of Leipzig, Semmelweisstr. 14, 04103, Leipzig, Germany.
Andreas SchneiderInnovation Center Computer Assisted Surgery, University of Leipzig, Semmelweisstr. 14, 04103, Leipzig, Germany.
Stefan LippmannInstitute of General Practice, University of Leipzig, Ph.-Rosenthal-Str. 55, 04103, Leipzig, Germany.
Markus BleckwennInstitute of General Practice, University of Leipzig, Ph.-Rosenthal-Str. 55, 04103, Leipzig, Germany.
Galina IvanovaInnovation Center Computer Assisted Surgery, University of Leipzig, Semmelweisstr. 14, 04103, Leipzig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke aftercare is widely acknowledged as crucial yet challenging. Digital tools offer a promising strategy to improve aftercare and, thus, patients' quality of life. However, it has not yet been investigated whether digital tools addressing different aspects of aftercare at the same time can be utilized in stroke patients. This study was intended to gain first experience in employing a complex patient-centered digital support system (i.e., the PostStroke-Manager) in individuals with stroke or transient ischemic attack (TIA) and thus examined its feasibility accompanied by personal assistance. This cohort study was carried out to enroll patients with stroke or TIA. Digital support was realized through an application installed on a tablet, a smartwatch, and a blood pressure monitor. Trained nurses, referred to as stroke pilots, provided personal assistance. After 6 or 12 months, patients were asked to evaluate the concept with digital and personal support as a whole and concerning single components of the program for individually experienced beneficial effects. Additional descriptive analyses comprised temporal courses of stroke-related impairments, quality of life, anxiety, depression, adherence, empowerment, blood pressure, LDL cholesterol, and HbA1c levels. Between January 2022 and December 2022, 815 patients were screened, and 43 were included in the study, of whom 36 completed follow-up assessments. The study met its predefined feasibility criterion, with at least 50% of program components receiving positive ratings from at least 75% of patients. The digital system as a whole (77.8%), personal assistance (75.0%), and interactions with stroke pilots (77.8%) received particularly positive ratings. Additionally, aspects such as vital sign monitoring, platforms for communication and medical records were rated positively. Longitudinal analyses revealed improvements in patients' impairments, blood pressure, and LDL cholesterol levels, while most psychometric measurements remained stable. These findings indicate the feasibility of employing complex digital support systems for patient-centered aftercare in selected individuals with stroke or TIA. The challenge remains in extending benefits to those patients with more severe neurological impairments, highlighting the necessity for ongoing advancement in this field.

Indexed as

AftercareIschemic Attack, TransientStrokeStroke RehabilitationAgedFeasibility StudiesFemaleHumansMaleMiddle AgedQuality of LifeAppDigital supportSecondary preventionStrokeStroke aftercare

Identifiers

PMID39962069
PMCPMC11833062

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.