Evidence map›Paper›PMID 33560236›Full record

Observational studyJMIR mHealth and uHealth2021

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

Yiqun Wu, Fei Chen, Haiqing Song, Wuwei Feng, Jinping Sun, Ruisen Liu, Dongmei Li, Ying Liu

Abstract readObservational Study
In one paragraph

Observational study in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

8 authors.

Yiqun Wu *Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Peking, China.ORCID 0000-0002-5554-1678
Fei Chen *Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-3513-7539
Haiqing SongDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-0390-0920
Wuwei FengDepartment of Neurology, Duke University School of Medicine, Durham, China.ORCID 0000-0001-6230-4905
Jinping SunDepartment of Neurology, The Affiliated Hospital of Qingdao University, Qingdao, China.ORCID 0000-0003-1593-1927
Ruisen LiuBeijing Municipal Health Commission, Beijing, China.ORCID 0000-0002-1964-8005
Dongmei LiBEIJING ANMED Medical Technology Co Ltd, Beijing, China.ORCID 0000-0002-2891-4862
Ying LiuBeijing Municipal Health Commission, Beijing, China.ORCID 0000-0002-7709-678X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo 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.

objectiveThis 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.

methodsA 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.

resultsDuring 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).

conclusionsSustained 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.

Indexed as

Brain IschemiaIschemic StrokeStrokeFibrinolytic AgentsHumansSmartphoneTime FactorsTime-to-TreatmentFibrinolytic Agentsacute ischemic strokedigital healthdoor-to-needle timeemergencyemergency managementfirst aidmanagementmHealthsmartphonesmartphone platformstrokeutility

Identifiers

PMID33560236
PMCPMC7902188

What OpenQuestion holds

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LicenceCC BY
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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.