Melola Discovery

← Melola Discovery

Akses terbuka Jurnal

Identification of antipsychotic side effects in Schizophrenia patients using Naranjo algorithm at Jambi Psychiatric Hospital

Proceedings Academic Universitas Jambi · Vol. 1 No. 2 (2025) · hlm. 632–640

DOI
10.22437/proca.v1i2.50325
Terbit
2025-11-29
Penerbit
LPPM Universitas Jambi
Bahasa
en
Lisensi
creativecommons.org/licenses/by/4.0

Abstrak

Background: Schizophrenia is a chronic mental disorder that requires long-term antipsychotic therapy. However, the use of antipsychotics may lead to adverse drug reactions (ADRs) that can affect patients’ quality of life. Objective: This study aimed to identify the types and likelihood of antipsychotic-related side effects among patients with schizophrenia using the Naranjo Algorithm. Methods: A descriptive observational study was conducted in September 2025. Data were collected through structured patient interviews and verified using medical records. The probability of ADRs was assessed using the Naranjo Algorithm, and the data were analyzed descriptively. Results: Among 119 patients with schizophrenia, 12 met the inclusion criteria. These 12 patients experienced a total of 23 ADR events. Based on the Naranjo Algorithm, 4 patients (33.33%) were categorized as probable and 8 (66.67%) as possible. The most common adverse effects were severe sedation (6 cases, 29.09%) and weakness (6 cases, 29.09%), followed by acute dystonia, mouth stiffness, and hypotension (each 8.70%). Less frequent events included hyperglycemia, hypertension, leukocytosis, slurred speech, and hypersalivation (each 4.35%). Conclusion: Most adverse effects showed a possible to probable causal relationship with antipsychotic use. The Naranjo Algorithm proved useful for identifying ADRs and supporting pharmacovigilance activities in psychiatric settings. Enhanced clinical monitoring and patient education are recommended to minimize serious adverse effects.

Kata kunci

Jaringan kolaborasi para penulis

40 penulis · 131 tautan kepenulisan bersama · 5 lintas organisasi · menampilkan 40 yang paling banyak terhubung

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • Universitas Jambi
  • IPB University
  • Tanjungpura University
  • Institut Shanti Bhuana
  • Universitas Negeri Padang
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
FitrianingsihAfiliasi tidak diketahui8
SyamsurizalAfiliasi tidak diketahui4
Indri MahariniAfiliasi tidak diketahui3
MaimumAfiliasi tidak diketahui3
Elisma .Afiliasi tidak diketahui3
Fathnur Sani KasmadiAfiliasi tidak diketahui3
Wahyu Indah Dewi AuroraAfiliasi tidak diketahui3
Mirna Marhami IskandarAfiliasi tidak diketahui3
Huntari HarahapAfiliasi tidak diketahui2
Tia Wida EkaputriAfiliasi tidak diketahui2
Puspa Dwi PratiwiAfiliasi tidak diketahui2
FitriyantiAfiliasi tidak diketahui2
Huda Shalahudin DarusmanIPB University2
Silmi MariyaIPB University2
Tengku Arief Buana PerkasaAfiliasi tidak diketahui2
TasariAfiliasi tidak diketahui1
Septiana WijayantiAfiliasi tidak diketahui1
L. AgusuAfiliasi tidak diketahui1
SukriAfiliasi tidak diketahui1
Indang DewataUniversitas Negeri Padang1
Aloysius Hari KristiantoInstitut Shanti Bhuana1
Eddy SuratmanTanjungpura University1
Akhmad YaniTanjungpura University1
Faizar FaridUniversitas Jambi1
Uce LestariUniversitas Jambi1
Agus SyarifUniversitas Jambi1
Istiqomah MalindaUniversitas Jambi1
Hasna DewiAfiliasi tidak diketahui1
Rina Nofri EnisAfiliasi tidak diketahui1
Aulia Hafizhah NugrohoAfiliasi tidak diketahui1
Yulwilla VirginiaAfiliasi tidak diketahui1
AdhyatmikaAfiliasi tidak diketahui1
Sekar Ayu PawestriAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://online-journal.unja.ac.id/index.php/PROCA/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Identification of antipsychotic side effects in Schizophrenia patients using Naranjo algorithm at Jambi Psychiatric Hospital</dc:title>
	<dc:creator xml:lang="en">Yuliawati</dc:creator>
	<dc:creator xml:lang="en">Istarini, Attiya</dc:creator>
	<dc:creator xml:lang="en">Kamariyah</dc:creator>
	<dc:creator xml:lang="en">Yuliana</dc:creator>
	<dc:creator xml:lang="en">Lestari, Uce</dc:creator>
	<dc:creator xml:lang="en">Sofyan, Indah Sri Wulan</dc:creator>
	<dc:creator xml:lang="en">Apriyanti, Sofia Elisa</dc:creator>
	<dc:subject xml:lang="en">Antipsychotic; Inpatient; Naranjo Algorithm; Schizophrenia; Adverse Drug Reaction.</dc:subject>
	<dc:description xml:lang="en">Background: Schizophrenia is a chronic mental disorder that requires long-term antipsychotic therapy. However, the use of antipsychotics may lead to adverse drug reactions (ADRs) that can affect patients’ quality of life. Objective: This study aimed to identify the types and likelihood of antipsychotic-related side effects among patients with schizophrenia using the Naranjo Algorithm. Methods: A descriptive observational study was conducted in September 2025. Data were collected through structured patient interviews and verified using medical records. The probability of ADRs was assessed using the Naranjo Algorithm, and the data were analyzed descriptively. Results: Among 119 patients with schizophrenia, 12 met the inclusion criteria. These 12 patients experienced a total of 23 ADR events. Based on the Naranjo Algorithm, 4 patients (33.33%) were categorized as probable and 8 (66.67%) as possible. The most common adverse effects were severe sedation (6 cases, 29.09%) and weakness (6 cases, 29.09%), followed by acute dystonia, mouth stiffness, and hypotension (each 8.70%). Less frequent events included hyperglycemia, hypertension, leukocytosis, slurred speech, and hypersalivation (each 4.35%). Conclusion: Most adverse effects showed a possible to probable causal relationship with antipsychotic use. The Naranjo Algorithm proved useful for identifying ADRs and supporting pharmacovigilance activities in psychiatric settings. Enhanced clinical monitoring and patient education are recommended to minimize serious adverse effects.</dc:description>
	<dc:publisher xml:lang="en">LPPM Universitas Jambi</dc:publisher>
	<dc:date>2025-11-29</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://online-journal.unja.ac.id/PROCA/article/view/50325</dc:identifier>
	<dc:identifier>10.22437/proca.v1i2.50325</dc:identifier>
	<dc:source xml:lang="en">Proceedings Academic Universitas Jambi; Vol. 1 No. 2 (2025): The 6th Jambi Medicine and Health Science International Conference (JAMHESIC); 632-640</dc:source>
	<dc:source>10.22437/proca.v1i2</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://online-journal.unja.ac.id/PROCA/article/view/50325/22651</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Yuliawati, Attiya Istarini, Kamariyah, Yuliana, Uce Lestari, Indah Sri Wulan Sofyan, Sofia Elisa Apriyanti</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>