Literature DB >> 36221935

Smartphone App in Stroke Management: A Narrative Updated Review.

Adriano Bonura1, Francesco Motolese1, Fioravante Capone1, Gianmarco Iaccarino1, Michele Alessiani1, Mario Ferrante1, Rosalinda Calandrelli2, Vincenzo Di Lazzaro1, Fabio Pilato1.   

Abstract

The spread of smartphones and mobile-Health (m-health) has progressively changed clinical practice, implementing access to medical knowledge and communication between doctors and patients. Dedicated software called Applications (or Apps), assists the practitioners in the various phases of clinical practice, from diagnosis to follow-up and therapy management. The impact of this technology is even more important in diseases such as stroke, which are characterized by a complex management that includes several moments: primary prevention, acute phase management, rehabilitation, and secondary prevention. This review aims to evaluate and summarize the available literature on Apps for the clinical management of stroke. We described their potential and weaknesses, discussing potential room for improvement. Medline databases were interrogated for studies concerning guideline-based decision support Apps for stroke management and other medical scenarios from 2007 (introduction of the first iPhone) until January 2022. We found 551 studies. Forty-three papers were included because they fitted the scope of the review. Based on their purpose, Apps were classified into three groups: primary prevention Apps, acute stroke management Apps, and post-acute stroke Apps. We described the aim of each App and, when available, the results of clinical studies. For acute stroke, several Apps have been designed with the primary purpose of helping communication and sharing of patients' clinical data among healthcare providers. However, interactive systems Apps aiming to assist clinicians are still lacking, and this field should be developed because it may improve stroke patients' management.

Entities:  

Keywords:  Mobile applications; Primary and secondary prevention; Smartphone; Stroke; Technology; Telemedicine

Year:  2022        PMID: 36221935      PMCID: PMC9561218          DOI: 10.5853/jos.2022.01410

Source DB:  PubMed          Journal:  J Stroke        ISSN: 2287-6391            Impact factor:   8.632


  80 in total

1.  Probability of stroke: a risk profile from the Framingham Study.

Authors:  P A Wolf; R B D'Agostino; A J Belanger; W B Kannel
Journal:  Stroke       Date:  1991-03       Impact factor: 7.914

2.  Public health and cost consequences of time delays to thrombectomy for acute ischemic stroke.

Authors:  Wolfgang G Kunz; Myriam G Hunink; Mohammed A Almekhlafi; Bijoy K Menon; Jeffrey L Saver; Diederik W J Dippel; Charles B L M Majoie; Tudor G Jovin; Antoni Davalos; Serge Bracard; Francis Guillemin; Bruce C V Campbell; Peter J Mitchell; Philip White; Keith W Muir; Scott Brown; Andrew M Demchuk; Michael D Hill; Mayank Goyal
Journal:  Neurology       Date:  2020-09-17       Impact factor: 9.910

3.  Understanding reasons for delay in seeking acute stroke care in an underserved urban population.

Authors:  Amie W Hsia; Amanda Castle; Jeffrey J Wing; Dorothy F Edwards; Nina C Brown; Tara M Higgins; Jasmine L Wallace; Sara S Koslosky; M Chris Gibbons; Brisa N Sánchez; Ali Fokar; Nawar Shara; Lewis B Morgenstern; Chelsea S Kidwell
Journal:  Stroke       Date:  2011-05-05       Impact factor: 7.914

4.  An Intelligent Augmented Lifelike Avatar App for Virtual Physical Examination of Suspected Strokes.

Authors:  Kevin Yao; Kelvin K Wong; Xiaohui Yu; John Volpi; Stephen T C Wong
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2021-11

5.  Health Care 4.0: A Vision for Smart and Connected Health Care.

Authors:  Jingshan Li; Pascale Carayon
Journal:  IISE Trans Healthc Syst Eng       Date:  2021-02-15

Review 6.  Embolic Stroke of Undetermined Source: JACC Review Topic of the Week.

Authors:  George Ntaios
Journal:  J Am Coll Cardiol       Date:  2020-01-28       Impact factor: 24.094

7.  Smartphone-assisted prehospital medical information system for analyzing data on prehospital stroke care.

Authors:  Takuro Nakae; Hiroharu Kataoka; Shigeki Kuwata; Koji Iihara
Journal:  Stroke       Date:  2014-03-25       Impact factor: 7.914

8.  Multidisciplinary Approach to Decrease In-Hospital Delay for Stroke Thrombolysis.

Authors:  Sang-Beom Jeon; Seung Mok Ryoo; Deok Hee Lee; Sun U Kwon; Seongsoo Jang; Eun-Jae Lee; Sang Hun Lee; Jung Hee Han; Mi Jeong Yoon; Soo Jeong; Young-Uk Cho; Sungyang Jo; Seung-Bok Lim; Joong-Goo Kim; Han-Bin Lee; Seung Chai Jung; Kye Won Park; Min-Hwan Lee; Dong-Wha Kang; Dae Chul Suh; Jong S Kim
Journal:  J Stroke       Date:  2017-05-31       Impact factor: 6.967

Review 9.  Stroke priorities during COVID-19 outbreak: acting both fast and safe.

Authors:  Alessandro Pedicelli; Iacopo Valente; Fabio Pilato; Marisa Distefano; Cesare Colosimo
Journal:  J Stroke Cerebrovasc Dis       Date:  2020-05-06       Impact factor: 2.136

10.  Speed-Interactive Pedaling Training Using Smartphone Virtual Reality Application for Stroke Patients: Single-Blinded, Randomized Clinical Trial.

Authors:  Kyeongjin Lee
Journal:  Brain Sci       Date:  2019-10-27
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