Literature DB >> 31416761

Medical Mobile Applications for Stroke Survivors and Caregivers.

Pirouz Piran1, Jinu Thomas2, Saroj Kunnakkat2, Abhishek Pandey2, Nadege Gilles2, Sarah Weingast2, Dee Burton3, Clotilde Balucani2, Steven R Levine4.   

Abstract

BACKGROUND: Recent studies estimate nearly half of the US population can access mobile medical applications (apps) on their smartphones. The are no systematic data available on apps focused on stroke survivors/caregivers.
OBJECTIVE: To identify apps (a) designed for stroke survivors/caregivers, (b) dealing with a modifiable stroke risk factor (SRF), or (c) were developed for other purposes but could potentially be used by stroke survivors/caregivers.
METHODS: A systematic review of the medical apps in the US Apple iTunes store was conducted between August 2013 and January 2016 using 18 predefined inclusion/exclusion criteria. SRFs considered were: diabetes, hypertension, smoking, obesity, atrial fibrillation, and dyslipidemia.
RESULTS: Out of 30,132 medical apps available, 843 (2.7%) eligible apps were identified. Of these apps, (n = 74, 8.7%) apps were specifically designed for stroke survivors/caregivers use and provided the following services: language/speech therapy (n = 28, 37%), communication with aphasic patients (n = 19, 25%), stroke risk calculation (n = 11, 14%), assistance in spotting an acute stroke (n = 8, 10%), detection of atrial fibrillation (n = 3, 4%), direction to nearby emergency room (n = 3, 4%), physical rehabilitation (n = 3, 4%), direction to the nearest certified stroke center (n = 1, < 2%), and visual attention therapy (n = 1, <2%). 769 apps identified that were developed for purposes other than stroke. Of these, the majority (n = 526, 68%) addressed SRFs.
CONCLUSIONS: Over 70 medical apps exist to specifically support stroke survivors/caregivers and primarily targeted language and communication difficulties. Apps encompassing most stroke survivor/caregiver needs could be developed and tested to ensure the issues faced by these populations are being adequately addressed.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Stroke; caregiver; cerebrovascular disease; mobile applications; recovery

Mesh:

Year:  2019        PMID: 31416761     DOI: 10.1016/j.jstrokecerebrovasdis.2019.104318

Source DB:  PubMed          Journal:  J Stroke Cerebrovasc Dis        ISSN: 1052-3057            Impact factor:   2.136


  5 in total

1.  Uncertain Multiplicative Language Decision Method Based on Group Compromise Framework for Evaluation of Mobile Medical APPs in China.

Authors:  Junchang Li; Jiantong Zhang; Ye Ding
Journal:  Int J Environ Res Public Health       Date:  2020-04-21       Impact factor: 3.390

2.  The Application of Technological Intervention for Stroke Rehabilitation in Southeast Asia: A Scoping Review With Stakeholders' Consultation.

Authors:  Siti Nur Suhaidah Selamat; Rosalam Che Me; Husna Ahmad Ainuddin; Mazatulfazura S F Salim; Hafiz Rashidi Ramli; Muhammad Hibatullah Romli
Journal:  Front Public Health       Date:  2022-02-07

3.  Functional requirements of a mobile-based application for stroke self-management: A Delphi study.

Authors:  Hamidreza Tadayon; Seyed Ali Masoud; Ehsan Nabovati; Hossein Akbari; Mehrdad Farzandipour; Masoud Babaei
Journal:  Healthc Technol Lett       Date:  2022-07-31

4.  Exploring the Need for Mobile Application in Stroke Management by Informal Caregivers: A Qualitative Study.

Authors:  Muhammad Iqbal Haji Mukhti; Mohd Ismail Ibrahim; Tengku Alina Tengku Ismail; Iliatha Papachristou Nadal; Sureshkumar Kamalakannan; Sanjay Kinra; Jafri Malin Abdullah; Kamarul Imran Musa
Journal:  Int J Environ Res Public Health       Date:  2022-10-10       Impact factor: 4.614

5.  LipoDDx: a mobile application for identification of rare lipodystrophy syndromes.

Authors:  David Araújo-Vilar; Antía Fernández-Pombo; Gemma Rodríguez-Carnero; Miguel Ángel Martínez-Olmos; Ana Cantón; Rocío Villar-Taibo; Álvaro Hermida-Ameijeiras; Alicia Santamaría-Nieto; Carmen Díaz-Ortega; Carmen Martínez-Rey; Antonio Antela; Elena Losada; Andrés E Muy-Pérez; Blanca González-Méndez; Sofía Sánchez-Iglesias
Journal:  Orphanet J Rare Dis       Date:  2020-04-02       Impact factor: 4.123

  5 in total

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