ArticleChild health nursing research2019
Effects of an Algorithm-based Education Program on Nursing Care for Children with Epilepsy by Hospital Nurses.
Article in Child health nursing research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Self-efficacy in the context of nursing education and transition to practice as a registered practitioner: A systematic review.Nursing open · 2023Pooled it
- Blended and Technology-Enhanced Education in Pediatric Emergency Nursing: A Systematic Review.Pediatric reports · 2026Review
- Effectiveness of a high-fidelity simulation program based on flipped learning for nurses' emergency management of seizures: a mixed-methods design.BMC nursing · 2025Article
- Unveiling the Core Competencies in Neuroscience Nursing Within the Context of Italy: A Qualitative Phenomenological Analysis.Healthcare (Basel, Switzerland) · 2024Article
- Does a preterm labor-assessment algorithm improve preterm labor-related knowledge, clinical practice confidence, and educational satisfaction?: a quasi-experimental study.Korean journal of women health nursing · 2023Article
- Comparison of Students' Attitudes about the Effectiveness of Algorithm-based Education with Lecture-based Education.Medical journal of the Islamic Republic of Iran · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeEpilepsy is the most common neurological disorder in childhood. Hospital nurses, who are the first to recognize seizures in epilepsy patients in the ward environment, possess expertise related to epilepsy and play a central role in epilepsy management. The purpose of this study was to develop an algorithm-based education program and to improve nurses' knowledge and self-efficacy related to providing nursing care to children with epilepsy.
methodsThe education program consisted of lectures on the definition, cause, classification, diagnosis, treatment, and nursing of epilepsy based on a booklet, as well as practice using an algorithm for nursing interventions when a child experiences a seizure. Twenty-seven nurses working at pediatric neurological wards and a pediatric emergency room participated in the education program. The data were analyzed using descriptive statistics and the paired t-test.
resultsNurses' knowledge and self-efficacy showed a statistically significant improvement after participation in the education program on nursing care for children with epilepsy.
conclusionThe application of this education program for hospital setting is expected to improve nurses' capability to care for children with epilepsy, thereby contributing to a higher quality of nursing.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.