Evidence map›Paper›PMID 41089876›Full record

ArticleFrontiers in public health2025

A study on the construction of a model for sustained ICS medication adherence behavior in children with asthma.

Li Yan, Rong Guo, Liping Wu, Chunlan Yin, Jianlan Tang

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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Li YanDepartment of Pediatric Intensive Care Unit, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Engineering Research Center of Stem Cell Therapy, Chongqing, China.
Rong GuoDepartment of Respiratory Medicine, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Engineering Research Center of Stem Cell Therapy, Chongqing, China.
Liping WuDepartment of Nursing, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Engineering Research Center of Stem Cell Therapy, Chongqing, China.
Chunlan YinDepartment of Respiratory Medicine, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Engineering Research Center of Stem Cell Therapy, Chongqing, China.
Jianlan TangDepartment of Respiratory Medicine, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Engineering Research Center of Stem Cell Therapy, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To develop a Sustained Adherence Behavior Model for inhaled corticosteroids (ICS) Medication in Children with Asthma. Method: Through literature review and semi-structured interviews, a questionnaire item pool was developed to assess the factors influencing the medication adherence behavior of asthma children using ICS. Expert consultation was conducted, involving two rounds of inquiries with experts, ultimately resulting in the development of the influence factors scale. The scale, along with the general situation survey of asthma children and the bronchial asthma medication adherence scale, was used to survey 370 asthma children who visited the outpatient department. Finally, a model of ICS medication adherence behavior for asthma children was established. Results: The positive coefficients of the two rounds of expert consultation were 90.5% and 95.2%, and the Kendall concordance coefficients were 0.384 and 0.278 (both Conclusion: The behavioral model based on the Health Belief Theory effectively analyzes the factors influencing the ICS medication adherence behavior of asthma children, with the greatest impact coming from behavioral intention, followed by medication belief and medication knowledge.

Indexed as

Adrenal Cortex HormonesAnti-Asthmatic AgentsAsthmaMedication AdherenceAdministration, InhalationAdolescentChildChild, PreschoolFemaleHumansMaleSurveys and QuestionnairesAdrenal Cortex HormonesAnti-Asthmatic Agentsasthmabehavioral modelchildreninhaled corticosteroids (ICS)sustained adherence behavior

Identifiers

PMID41089876
PMCPMC12517064

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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.