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All Journal Jurnal Farmasi Udayana Majalah Kedokteran Bandung MNJ (Malang Neurology Journal) Jurnal Ilmu Kefarmasian Indonesia Journal Pharmasci (Journal of Pharmacy and Science) Jurnal Ilmiah Ibnu Sina (JIIS): Ilmu Farmasi dan Kesehatan AKSONA Jurnal Keperawatan Magna Neurologica
Islamiyah, Wardah Rahmatul
Departemen Neurologi, Fakultas Kedokteran, Universitas Airlangga; RS Universitas Airlangga, Surabaya, Indonesia
Biochemistry, Genetics & Molecular Biology Chemistry Health Professions Immunology & microbiology Medicine & Pharmacology Neuroscience Nursing Public Health

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Association of side effects to medication adherence of antiepileptic drug use in epileptic patients Ernawati, Iin; Wyono, Oktaviani Putri; Yunitasari, Fitria Dewi; Pradani, Erwindy Yastika; Islamiyah, Wardah Rahmatul
JURNAL ILMU KEFARMASIAN INDONESIA Vol 22 No 1 (2024): JIFI
Publisher : Faculty of Pharmacy, Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/jifi.v22i1.1269

Abstract

Epilepsy is a chronic neurological disorder with symptoms characterized by seizures, arising spontaneously with brief episodes with the main symptom of decreased or loss of consciousness. This study aims to examine the effect of side effects of medication adherence to antiepileptic drug use in epilepsy patients. This research is an observational study that was analyzed using quantitative descriptive methods in Neurology patients at the Airlangga University Hospital from March until May 2022. Side effects were measured using the LAEP (Liverpool Adverse Effects Profile) questionnaire and adherence was measured using a pill count. Results showed that the influence of side effects on medication adherence (pill count method) to antiepileptic drugs using linear regression, it is known that the P-value is 0.501. There is no significant relationship between the category of side effects and medication adherence to antiepileptic drugs. Another factor that influences compliance with medication use is the appearance of seizures. Based on the results of this study, it is known that the greater the frequency of seizures, the more likely patients are to be non-compliant (P-value 0.006). To increase adherence, it is necessary to pay attention to other factors such as knowledge, economy, and type of therapy in epilepsy patients so that therapeutic outcomes can be achieved.
Clinical Approach to Differentiating Epileptic Seizures from Bipolar Disorder Islamiyah, Wardah Rahmatul; Putera, Rudolph Muliawan
Majalah Kedokteran Bandung Vol 57, No 3 (2025)
Publisher : Faculty of Medicine, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15395/mkb.v57.4022

Abstract

Distinguishing between epileptic seizures and bipolar disorder in clinical setting presents a significant challenge due to overlapping symptoms and the complex mechanism underlying both conditions. This study offers a novel perspective by integrating the latest research and clinical practices to explore this intricate diagnostic landscape. Unlike previous studies that primarily focused on isolated aspects, this study synthesizes recent advancements in neuroimaging, wearable technology, and machine learning to enhance diagnostic accuracy. Data sources searched were Google Scholar, PubMed, and ScienceDirect using the keywords of ‘epileptic seizures’, ‘bipolar disorder’, ‘diagnosis’, ‘neuroimaging’, ‘wearable technology’, and ‘machine learning’. Following the Preferred Reporting Item for Systematic Review and Meta-Analysis (PRISMA) methodology, the findings highlight how the variability of mood episodes and their resemblance to seizure activity often complicate differential diagnosis. Moreover, they underscore the potentials of emerging technologies, such as real-time monitoring via wearable devices and AI-driven diagnostic tools, in refining current clinical approaches. This study emphasizes the necessity of clinic awareness regarding subtle but crucial distinctions between bipolar disorder and epileptic seizures. By leveraging continuous monitoring and data-driven insights, an innovative framework that combines clinical expertise with advanced technology is proposed, paving the way for more precise and effective diagnostic methods.
Co-Authors Abu Bakar Achmad Firdaus Sani, Achmad Firdaus Basyarahil, Rayhan Muhammad Budiono Budiono Ernawati, Iin Ersifa Fatimah Fatimah, Ersifa Iin Ernawati Iin Ernawati Jordan, Danny Randy Kusumastuti, Kurnia MARIA BINTANG Pikir, Budi Sustyo Pradani, Erwindy Yastika Prastiya Indra Gunawan Prayitno, Jongky Hendro Pudji Lestari Putera, Rudolph Muliawan Rivania, Mutiara Rizqia Swatan, Jovian Philip Wyono, Oktaviani Putri Yunitasari, Fitria Dewi Yuswanto, Andis Zahra, Farah Az