Evidence map›Paper›PMID 41024061›Full record

ArticleBMC nursing2025

Advancing transition readiness and health outcomes in adolescents with epilepsy: the role of evidence-based self-management interventions in nursing practice.

Cui Cui, Shuangzi Li, Qing Xia, Wenjing Chen, Xianlan Zheng

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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

5 authors.

Cui CuiDepartment of Nursing, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Children's Hospital of Chongqing Medical University, No. 136 Zhongshan Second Road, Yuzhong District, Chongqing, 400014, China. cuicui17@126.com.
Shuangzi LiDepartment of Neurology, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Children's Hospital of Chongqing Medical University, Chongqing, 400014, China.
Qing XiaDepartment of Neurology, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Children's Hospital of Chongqing Medical University, Chongqing, 400014, China.
Wenjing ChenDepartment of Neurology, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Children's Hospital of Chongqing Medical University, Chongqing, 400014, China.
Xianlan ZhengDepartment of Nursing, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Children's Hospital of Chongqing Medical University, No. 136 Zhongshan Second Road, Yuzhong District, Chongqing, 400014, China.

Funding

Chongqing Science and Health Joint Medical Research Project 2022GDRC007Major Project of Science and Technology of Chongqing Education Commission in 2024 KJZD-M202400404
6 · The paper itself

Abstract

backgroundSelf-management interventions are crucial for adolescents with epilepsy (AWEs) to control seizures during their transition to adulthood. However, many AWEs face challenges in sustaining effective self-management, and evidence-based practices tailored to this population remain underexplored. This study developed and evaluated a self-management intervention plan to enhance transition readiness for AWEs.

methodsThe setting is the neurological center of a Grade-III children's hospital in Southwest China. From March 2023 to February 2024, 92 AWEs and their families participated, along with 31 hospital staff members. A historical comparison design evaluated the intervention's effects on AWEs, while a self-controlled design assessed impacts on healthcare providers and the system environment. The intervention was developed using the Knowledge-To-Action framework and intervention mapping theory, guided by a logical model and a matrix of change goals. Through expert consensus, 53 strategies were formed using evidence-based behavior change methods. Key outcomes included behavior and physical health of AWEs, compliance among healthcare providers, and system-level improvements.

resultsPost-intervention, significant improvements were observed across all assessed areas, including self-management, transition readiness, and electroencephalogram results, except for number of seizures and doctor-patient communication. Compliance with self-management behaviors among AWEs and family caregivers increased by 21.43%, healthcare providers' practice compliance improved by 34.08%, and clinical audit results at the system level rose by 58.83%. Notable system-level changes included improved resource allocation and care standardization.

conclusionsThis intervention is a promising approach to improving health outcomes in AWEs and fostering self-management behaviors among patients and caregivers, while enhancing healthcare providers' practice and service capacity. The framework offers valuable guidance for integrating self-management support into transition ecosystems, with implications for both clinical practice and nursing education.

Indexed as

Children and adolescentsEpilepsyEvidence-based nursing practiceSelf-managementTransition readiness

Identifiers

PMID41024061
PMCPMC12481995

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LicenceCC BY-NC-ND
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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.