ArticleBMC pediatrics2024
Promoting medication compliance in epileptic children: a cross sectional survey.
Article in BMC pediatrics, 2024. 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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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.
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Who cites it
1 citing paper in PubMed.
- Adherence to anti-seizure medications among pediatric epilepsy patients during the Sudan armed conflict.Conflict and health · 2026Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCompliance with medication is crucial for the favorable prognosis of children with epilepsy. The objective of this study was to assess the determinants of medication compliance and to construct a predictive model for the risk of non-compliance among pediatric epilepsy patients.
methodsThe study included children diagnosed with epilepsy and treated at our hospital between February 1 and September 30, 2023. We evaluated the demographic characteristics and medication compliance profiles of these patients. The predictive model's performance was assessed using the receiver operating characteristic (ROC) curve to determine its sensitivity and specificity.
resultsA total of 168 children with epilepsy were analyzed. The rate of non-compliance with medication was found to be 32.74% (55 out of 168). Logistic regression identified the educational level of parents (OR = 2.844, 95% CI: 2.182-3.214), monthly household income (OR = 1.945, 95% CI: 1.203-2.422), the number of medications taken (OR = 1.883, 95% CI: 1.314-2.201), and the level of epilepsy knowledge received (OR = 2.517, 95% CI: 1.852-3.009) as significant factors influencing non-compliance (all p < 0.05). A total score threshold of 6 was set for the predictive model. The area under the ROC curve was 0.713 (95% CI: 0.686-0.751), indicating the model's discriminative ability.
conclusionsThe compliance to medication regimens among children with epilepsy is suboptimal and influenced by a multitude of factors. This study has developed a predictive model for medication compliance, which could serve as a valuable tool for clinical assessment and intervention planning regarding medication compliance in pediatric epilepsy patients.
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