Evidence map›Paper›PMID 40713731›Full record

ArticleBMC health services research2025

Evaluation of the effectiveness of a digital-intelligent-system-based implementation strategy in improving the quality of prehospital medical care: rationale and design of a stepped-wedge cluster randomized controlled trial.

Lang Wang, Yali Hu, Bowen Hou, Ying Cui, Huang Zhang, Yilin Zhao, Zhuo Wang, Hui Feng, Songyun Wang, Lihua Zhu and 2 more

Abstract readClinical Trial Protocol
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Lang Wang *Department of Cardiology, Renmin Hospital of Wuhan University, No. 238 Jiefang Rd, Wuchang District, Wuhan, China.
Yali Hu *Department of Cardiology, Renmin Hospital of Wuhan University, No. 238 Jiefang Rd, Wuchang District, Wuhan, China.
Bowen Hou *Department of Cardiology, Renmin Hospital of Wuhan University, No. 238 Jiefang Rd, Wuchang District, Wuhan, China.
Ying CuiDepartment of Cardiology, Renmin Hospital of Wuhan University, No. 238 Jiefang Rd, Wuchang District, Wuhan, China.
Huang ZhangDepartment of Cardiology, Renmin Hospital of Wuhan University, No. 238 Jiefang Rd, Wuchang District, Wuhan, China.
Yilin ZhaoDepartment of Cardiology, Renmin Hospital of Wuhan University, No. 238 Jiefang Rd, Wuchang District, Wuhan, China.
Zhuo WangDepartment of Cardiology, Renmin Hospital of Wuhan University, No. 238 Jiefang Rd, Wuchang District, Wuhan, China.
Hui FengDepartment of Cardiology, Renmin Hospital of Wuhan University, No. 238 Jiefang Rd, Wuchang District, Wuhan, China.
Songyun WangDepartment of Cardiology, Renmin Hospital of Wuhan University, No. 238 Jiefang Rd, Wuchang District, Wuhan, China.
Lihua ZhuDepartment of Cardiology, Renmin Hospital of Wuhan University, No. 238 Jiefang Rd, Wuchang District, Wuhan, China. zhulh@whu.edu.cn.
Lilei YuDepartment of Cardiology, Renmin Hospital of Wuhan University, No. 238 Jiefang Rd, Wuchang District, Wuhan, China. lileiyu@whu.edu.cn.
Hong JiangDepartment of Cardiology, Renmin Hospital of Wuhan University, No. 238 Jiefang Rd, Wuchang District, Wuhan, China. hong-jiang@whu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrently, prehospital emergency medical care procedures and quality vary among different medical institutions, and there is no effective implementation strategy for improving medical quality. Acute cardiovascular disease imposes major burdens to all involved parties and is associated with high morbidity and mortality. Prehospital care for acute cardiovascular disease requires scientific implementation strategies. The use of implementation science research to explore new strategies may improve the quality of prehospital care and reduce the burden of acute cardiovascular disease.

methodThe research design is a stepped-wedge cluster randomized controlled trial. A digital intelligent system has been created previously. Researchers will develop a new implementation strategy based on improving ambulance equipment and integration of the intelligent software systems to drive evidence-based prehospital interventions and will select emergency teams in public hospitals to practice it randomly. Data from the entire emergency treatment process will be collected to analyze the impact of strategies in terms of outcomes tailored according to the Reach, Effectiveness, Adoption, Implementation and Maintenance (RE-AIM) framework. To identify possible areas of refinement and examine the feasibility of the research, the first phase will be carried out in five hospitals. DISCUSSION: This study integrates digital and intelligent technologies with implementation science in the design of a prehospital emergency care strategy on the basis of a literature review and expert recommendations, addressing limitations in previous prehospital emergency care approaches. The digital-intelligent-system-based strategy will undergo iterative optimization according to practical feedback and are expected to facilitate the implementation of evidence-based interventions, thereby improving the quality of patient care.

trial registrationThis study was prospectively registered on the Chinese Clinical Trial Registry (ChiCTR2400088833; Version 1.0; Date of registration: 27 August 2024; URL: https://www.chictr.org.cn/ ).

Indexed as

Cardiovascular DiseasesEmergency Medical ServicesQuality ImprovementAmbulancesHumansRandomized Controlled Trials as TopicResearch DesignAcute cardiovascular diseaseCluster randomized controlled trialImplementation sciencePrehospital emergency care

Identifiers

PMID40713731
PMCPMC12291387

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.