Literature DB >> 33560236

Use of a Smartphone Platform to Help With Emergency Management of Acute Ischemic Stroke: Observational Study.

Yiqun Wu1, Fei Chen2, Haiqing Song2, Wuwei Feng3, Jinping Sun4, Ruisen Liu5, Dongmei Li6, Ying Liu5.   

Abstract

BACKGROUND: To improve the outcomes of acute ischemic stroke (AIS), timely thrombolytic therapy is crucial. Series strategies were recommended to reduce door-to-needle (DTN) time for AIS. Mobile technologies are feasible and have been used in stroke management for various purposes. However, the use of smartphone platforms that integrate series strategies through the entire first aid process to improve emergency management of AIS remains to be verified.
OBJECTIVE: This study aims to describe the utility and application of a smartphone platform in the emergency management of AIS and report the DTN time for patients with AIS during its 2-year application period. Our results are relevant to digital health management.
METHODS: A smartphone platform named "Green" was developed to incorporate the field assessment, hospital recommendation, prehospital notification, real-time communication, clinical records creation, key time-stamping, and quality control to streamline and standardize overall AIS emergency management processes. The emergency medical system (EMS) and all the emergency departments in Beijing have used this platform since 2018. From January 1, 2018, to December 31, 2019, 8457 patients diagnosed with AIS received intravenous tissue-type plasminogen activator therapy. The median DTN time and the proportions of patients with DTN times of ≤60 minutes and ≤45 minutes were reported.
RESULTS: During the 2-year application period of this platform, the median DTN time was 45 minutes, and the proportions of patients with DTN times of ≤60 minutes and ≤45 minutes were 74.6% and 50.5%, respectively. The median DTN time was significantly reduced from 50 minutes in 2018 to 42 minutes in 2019 (P<.001). The proportions of patients with DTN times of ≤60 minutes and ≤45 minutes increased from 66.1% and 40.7%, respectively, in 2018 to 80.7% and 57.3%, respectively, in 2019 (both P<.001). Sustained improvement in DTN time was seen during all the observed months. The improvement occurred across all facilities, and the variations among hospitals also decreased. The median DTN time for patients transferred by ambulances (43 minutes) was significantly shorter than those who reached hospitals by themselves (47 minutes; P<.001).
CONCLUSIONS: Sustained reductions in DTN time reflected the improvement in AIS emergency management processes. The use of a smartphone platform integrating recommended strategies throughout all first aid stages is a practical way to help the emergency management of AIS. ©Yiqun Wu, Fei Chen, Haiqing Song, Wuwei Feng, Jinping Sun, Ruisen Liu, Dongmei Li, Ying Liu. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 09.02.2021.

Entities:  

Keywords:  acute ischemic stroke; digital health; door-to-needle time; emergency; emergency management; first aid; mHealth; management; smartphone; smartphone platform; stroke; utility

Year:  2021        PMID: 33560236      PMCID: PMC7902188          DOI: 10.2196/25488

Source DB:  PubMed          Journal:  JMIR Mhealth Uhealth        ISSN: 2291-5222            Impact factor:   4.773


  22 in total

1.  Mobile Telestroke During Ambulance Transport Is Feasible in a Rural EMS Setting: The iTREAT Study.

Authors:  Jason M Lippman; Sherita N Chapman Smith; Timothy L McMurry; Zachary G Sutton; Brian S Gunnell; Jack Cote; Debra G Perina; David C Cattell-Gordon; Karen S Rheuban; Nina J Solenski; Bradford B Worrall; Andrew M Southerland
Journal:  Telemed J E Health       Date:  2015-11-24       Impact factor: 3.536

2.  Stop Stroke: A Brief Report on Door-to-Needle Times and Performance After Implementing an Acute Care Coordination Medical Application and Implications to Emergency Medical Services.

Authors:  Robert Dickson; Adrian Nedelcut; Melissa McPeek Nedelcut
Journal:  Prehosp Disaster Med       Date:  2017-02-21       Impact factor: 2.040

3.  Global, Regional and Country-Specific Burden of Ischaemic Stroke, Intracerebral Haemorrhage and Subarachnoid Haemorrhage: A Systematic Analysis of the Global Burden of Disease Study 2017.

Authors:  Rita V Krishnamurthi; Takayoshi Ikeda; Valery L Feigin
Journal:  Neuroepidemiology       Date:  2020-02-20       Impact factor: 3.282

4.  Timeliness of tissue-type plasminogen activator therapy in acute ischemic stroke: patient characteristics, hospital factors, and outcomes associated with door-to-needle times within 60 minutes.

Authors:  Gregg C Fonarow; Eric E Smith; Jeffrey L Saver; Mathew J Reeves; Deepak L Bhatt; Maria V Grau-Sepulveda; DaiWai M Olson; Adrian F Hernandez; Eric D Peterson; Lee H Schwamm
Journal:  Circulation       Date:  2011-02-10       Impact factor: 29.690

5.  Prevalence, Incidence, and Mortality of Stroke in China: Results from a Nationwide Population-Based Survey of 480 687 Adults.

Authors:  Wenzhi Wang; Bin Jiang; Haixin Sun; Xiaojuan Ru; Dongling Sun; Linhong Wang; Limin Wang; Yong Jiang; Yichong Li; Yilong Wang; Zhenghong Chen; Shengping Wu; Yazhuo Zhang; David Wang; Yongjun Wang; Valery L Feigin
Journal:  Circulation       Date:  2017-01-04       Impact factor: 29.690

6.  mStroke: "Mobile Stroke"-Improving Acute Stroke Care with Smartphone Technology.

Authors:  Benjamin Y Andrew; Colleen M Stack; Julian P Yang; Jodi A Dodds
Journal:  J Stroke Cerebrovasc Dis       Date:  2017-04-20       Impact factor: 2.136

7.  A Stroke Risk Detection: Improving Hybrid Feature Selection Method.

Authors:  Yonglai Zhang; Yaojian Zhou; Dongsong Zhang; Wenai Song
Journal:  J Med Internet Res       Date:  2019-04-02       Impact factor: 5.428

8.  The Cost-Effectiveness of Digital Health Interventions on the Management of Cardiovascular Diseases: Systematic Review.

Authors:  Xinchan Jiang; Wai-Kit Ming; Joyce Hs You
Journal:  J Med Internet Res       Date:  2019-06-17       Impact factor: 5.428

9.  Mortality, morbidity, and risk factors in China and its provinces, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.

Authors:  Maigeng Zhou; Haidong Wang; Xinying Zeng; Peng Yin; Jun Zhu; Wanqing Chen; Xiaohong Li; Lijun Wang; Limin Wang; Yunning Liu; Jiangmei Liu; Mei Zhang; Jinlei Qi; Shicheng Yu; Ashkan Afshin; Emmanuela Gakidou; Scott Glenn; Varsha Sarah Krish; Molly Katherine Miller-Petrie; W Cliff Mountjoy-Venning; Erin C Mullany; Sofia Boston Redford; Hongyan Liu; Mohsen Naghavi; Simon I Hay; Linhong Wang; Christopher J L Murray; Xiaofeng Liang
Journal:  Lancet       Date:  2019-06-24       Impact factor: 79.321

10.  Global, regional, and national age-sex specific mortality for 264 causes of death, 1980-2016: a systematic analysis for the Global Burden of Disease Study 2016.

Authors: 
Journal:  Lancet       Date:  2017-09-16       Impact factor: 79.321

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  2 in total

1.  Emergency medical service utilization among acute ischemic stroke patients in Beijing: An observational study.

Authors:  Kexin Ding; Hui Chen; Yong Wang; Hongmei Liu; Bayier Ceceke; Wei Zhang; Ling Geng; Guifang Deng; Tao Sun; Wenzhong Zhang; Yiqun Wu
Journal:  Front Neurol       Date:  2022-09-06       Impact factor: 4.086

2.  Experimental Implementation of NSER Mobile App for Efficient Real-Time Sharing of Prehospital Patient Information With Emergency Departments: Interrupted Time-Series Analysis.

Authors:  Kiyomitsu Fukaguchi; Tadahiro Goto; Tadatsugu Yamamoto; Hiroshi Yamagami
Journal:  JMIR Form Res       Date:  2022-07-06
  2 in total

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