The PostStroke-Manager - combining mobile, digital and sensor-based technology with personal assistance: protocol of the feasibility study.

Digital health Mobile devices Post stroke management Secondary prevention Stroke

Journal

Neurological research and practice
ISSN: 2524-3489
Titre abrégé: Neurol Res Pract
Pays: England
ID NLM: 101767802

Informations de publication

Date de publication:
09 Sep 2021
Historique:
received: 26 05 2021
accepted: 08 06 2021
entrez: 10 9 2021
pubmed: 11 9 2021
medline: 11 9 2021
Statut: epublish

Résumé

Post stroke management has moved into the focus as it represents the only way to secure acute treatment effects in the long term. Due to individual courses, post stroke management appears rather challenging and is hindered by existing barriers between treatment sectors. As a novel concept, the PostStroke-Manager combines digital and sensor-based technology with personal assistance to enable intersectoral cooperation, best possible reduction of stroke-related disability, optimal secondary prevention, and detection of physical and psychological comorbidities. This prospective single-center observational study aims to investigate the feasibility of the PostStroke-Manager concept in an outpatient setting. Ninety patients who have suffered an ischemic or hemorrhagic stroke or transient ischemic attack will be equipped with a tablet and mobile devices recording physical activity, blood pressure, and electrocardiographic signals. Through a server-based platform, patients will be connected with the primary care physician, a stroke pilot and, if necessary, other specialists who will use web-based platforms. Via the tablet, patients will have access to an application with 10 newly designed components including, for instance, a communication tool, medication schedule, medical records platform, and psychometric screenings (e.g., depression, anxiety symptoms, quality of life, adherence, cognitive impairment). During the 1-year follow-up period, clinical visits are scheduled at three-month intervals. In the interim, communication will be secured by an appropriate tool that includes text messenger, audio, and video telephony. As the primary endpoint, feasibility will be measured by a 14-item questionnaire that addresses digital components, technical support, and personal assistance. The PostStroke-Manager will be judged feasible if at least 50% of these aspects are rated positively by at least 75% of patients. Secondary endpoints include feedback from professionals and longitudinal analyses on clinical and psychometric parameters. This study will answer the question of whether combined digital and personal support is a feasible approach to post stroke management. Furthermore, the patient perspective gained regarding digital support may help to specify future applications. This study will also provide information regarding the potential use of remote therapies and mobile devices in situations with limited face-to-face contacts. German Register for Clinical Trials ( DRKS00023213 .), registered 27 April 2021.

Identifiants

pubmed: 34503568
doi: 10.1186/s42466-021-00137-w
pii: 10.1186/s42466-021-00137-w
pmc: PMC8426588
doi:

Types de publication

Journal Article

Langues

eng

Pagination

53

Subventions

Organisme : Sächsische Aufbaubank
ID : 100334901

Informations de copyright

© 2021. The Author(s).

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Auteurs

Dominik Michalski (D)

Department of Neurology, University of Leipzig, Liebigstr. 20, 04103, Leipzig, Germany. dominik.michalski@medizin.uni-leipzig.de.

Alexander Prost (A)

Department of Neurology, University of Leipzig, Liebigstr. 20, 04103, Leipzig, Germany.

Till Handel (T)

Innovation Center Computer Assisted Surgery, University of Leipzig, Semmelweisstr. 14, 04103, Leipzig, Germany.

Max Schreiber (M)

Innovation Center Computer Assisted Surgery, University of Leipzig, Semmelweisstr. 14, 04103, Leipzig, Germany.

Jean-Baptiste Tylcz (JB)

Innovation Center Computer Assisted Surgery, University of Leipzig, Semmelweisstr. 14, 04103, Leipzig, Germany.

Daniela Geisler (D)

Department of Neurology, University of Leipzig, Liebigstr. 20, 04103, Leipzig, Germany.

Daniela Urban (D)

Department of Neurology, University of Leipzig, Liebigstr. 20, 04103, Leipzig, Germany.

Stephanie Schramm (S)

Department of Neurology, University of Leipzig, Liebigstr. 20, 04103, Leipzig, Germany.

Stefan Lippmann (S)

Department of Primary Care, University of Leipzig, Ph.-Rosenthal-Str. 55, 04103, Leipzig, Germany.

Jenny Gullnick (J)

Department of Primary Care, University of Leipzig, Ph.-Rosenthal-Str. 55, 04103, Leipzig, Germany.

Thomas Neumuth (T)

Innovation Center Computer Assisted Surgery, University of Leipzig, Semmelweisstr. 14, 04103, Leipzig, Germany.

Joseph Classen (J)

Department of Neurology, University of Leipzig, Liebigstr. 20, 04103, Leipzig, Germany.

Galina Ivanova (G)

Innovation Center Computer Assisted Surgery, University of Leipzig, Semmelweisstr. 14, 04103, Leipzig, Germany.

Classifications MeSH