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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.
An Analysis of Chronotype and Cognitive Function in Pre-Clinical Medical Students at Universitas Airlangga Prayogo, Hana Evangelin; Islamiyah, Wardah Rahmatul; Irwadi, Irfiansyah; Setyowatie, Sita
AKSONA Vol. 6 No. 1 (2026): JANUARY 2026
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/aksona.v6i1.70271

Abstract

Highlight: The intermediate chronotype was most common among 2020-2021 medical students at Universitas Airlangga, followed by the morning type and the evening type No significant differences in TMT A, TMT B, or PVT scores were observed among the morning, intermediate, and evening chronotypes. Chronotype showed no significant relationship with cognitive outcomes, likely because medical students adapt to rigorous demands requiring sustained focus throughout the day.   ABSTRACT Introduction: Chronotype refers to an individual’s predisposition to engage in activities at specific times of the day. Numerous studies have explored the relationship between chronotype and cognitive function, yet the findings vary across different populations. Objective: This study aimed to identify chronotypes among medical students at Universitas Airlangga and to assess differences in cognitive function and attentional performance between these chronotypes. Methods: We selected participants using a stratified random sampling technique, focusing on cognitive function, attention, and chronotype. Those who met the inclusion criteria provided informed consent and completed the Morningness-Eveningness Questionnaire to determine their chronotype. A total of 65 participants completed the questionnaire and then underwent Trail Making Tests (TMT) A and B at times tailored to their chronotypes: 08:00-10:00 for morning types, 16:00-18:00 for evening types, and 12:00-13:00 for intermediate types. The Psychomotor Vigilance Test (PVT) was uniformly administered between 08:00-10:00. Data were collected and analyzed using Kruskal-Wallis and one-way ANOVA. Results: Of the 65 participants, 18 were identified as morning types, 42 as intermediate types, and 5 as evening types. No significant differences were observed in TMT A or B performance (p > 0.05). Similarly, the PVT results, which assessed lapses, false starts, and average reaction time, showed no significant differences among the three chronotypes (p > 0.05). Conclusion: The intermediate chronotype was the most prevalent among medical students at Universitas Airlangga, followed by morning and evening types. No significant differences were observes in TMT and PVT outcomes across the chronotypes.
Co-Authors Abu Bakar Achmad Firdaus Sani, Achmad Firdaus Basyarahil, Rayhan Muhammad Budiono Budiono Ersifa Fatimah Fatimah, Ersifa Iin Ernawati Iin Ernawati Irwadi, Irfiansyah Jordan, Danny Randy Kusumastuti, Kurnia MARIA BINTANG Pikir, Budi Sustyo Pradani, Erwindy Yastika Prastiya Indra Gunawan Prayitno, Jongky Hendro Prayogo, Hana Evangelin Pudji Lestari Putera, Rudolph Muliawan Rivania, Mutiara Rizqia Sita Setyowatie Swatan, Jovian Philip Wyono, Oktaviani Putri Yunitasari, Fitria Dewi Yuswanto, Andis Zahra, Farah Az