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Pharmacology and Clinical Pharmacy Research
Published by Universitas Padjadjaran
ISSN : 25277332     EISSN : 26140020     DOI : -
Core Subject : Health,
Medicine & Pharmacology
Pharmacology and Clinical Pharmacy Research (PCPR) is an international, peer-reviewed journal, publishing original research, review, case reports, and commentaries on all aspects of pharmacology and clinical pharmacy. The journal aims to contribute to the scientific committee by publishing the high quality articles. It is published 3 times a year to provide a forum for pharmacologists, pharmacists, and other healthcare professionals to share best practice, encouraging networking, and a more collaborative approach in pharmacology and clinical pharmacy.
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Articles 8 Documents
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Search results for , issue "Vol 9, No 2 (2024)" : 8 Documents clear
Relationship Between Knowledge and Adherence to Antihypertensive at Public Healthcare in Banjarmasin City, Indonesia Hasniah, Hasniah; Hardiana, Hardiana; Rony, Rony; Fadillah, Aris; Erlianti, Karina; Ramadhani, Juwita
Pharmacology and Clinical Pharmacy Research Vol 9, No 2 (2024)
Publisher : Universitas Padjadjaran, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15416/pcpr.v9i2.55548

Abstract

Hypertension is one of the world’s most hazardous diseases since it harms the heart, brain, kidneys, and other organs. Patients’ understanding of hypertension can be the key to successful treatment. Nonadherence with antihypertensive medication is a primary cause of therapeutic failure and is considered a serious issue. The purpose of this study is to examine the association between antihypertensive knowledge and adherence at public healthcare facilities. This study employed a quantitative approach using a cross- sectional design. The purposive sampling technique determined the sample, resulting in 100 hypertensive respondents from Public Healthcare. Knowledge is the independent variable in data collection; adherence to antihypertensive medications is the dependent variable; and demographic variables are the confounding variable. We employed the HFQ (Hypertension Fact Questionnaire) and MMAS-8 (Modified Morisky Adherence Scale-8) questionnaires as data-gathering instruments. We conducted univariate, bivariate, and multivariate analyses on the data using SPSS. Based on the study’s findings, it is possible to conclude that there is a significant association between knowledge level and adherence with antihypertensive medicine use in public healthcare, with a p-value of 0.003. Comorbidities are a risk factor for hypertension that affects adherence, with a p-value of 0.007 and an OR of 0.801, indicating that patients are 0.801 times more likely to take their medicine
Identification of Probable Drug-Drug and Drug-Food Interactions in Hospitalized Patients With Chronic Renal Disease Sari, Okta M.; Putra, Aditya M.P
Pharmacology and Clinical Pharmacy Research Vol 9, No 2 (2024)
Publisher : Universitas Padjadjaran, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15416/pcpr.v9i2.56525

Abstract

Chronic renal disease is a substantial health challenge in numerous countries worldwide, including Indonesia. Chronic renal disease patients frequently experience comorbidities and require multiple medications (polypharmacy). In patients receiving polypharmacy, it is necessary to monitor the occurrence of drug interactions. The current study analyzed the most probable of drug-drug interactions based on severity and management. Furthermore, to analyzed the most probable drug-food interactions based on severity and management in patients hospitalized with chronic renal disease. From September to October 2023, a cross-sectional study was carried out using retrospective data gathering. The population that attains the study criteria is referred to as the present research sample. The sampling methodology utilizes the saturated sample method. The tools utilized encompassed the Lexicomp® drug interaction checking application. The severity and management categories for probable drug-drug interactions and drug-food interactions are defined within the Lexicomp® application. The study analyzed medical data from 51 patients in total. The results of the current study showed that there were probable drug-drug interactions in 68.62% and drug-food interactions in 47.06% of patients hospitalized with chronic kidney disease. Based on severity, the most probable drug-drug interaction and drug-food interaction is in the moderate category. Based on the management, the most probable drug-drug interaction needs to be monitored, and the most probable drug-food interaction needs to be avoided concurrent administration with food. In patients with chronic renal disease, it is crucial to minimize and handle probable drug-drug and drug-food interactions.
Drug-Drug Interactions and Prescription Appropriateness in COVID-19 ICU Patients in a Tertiary Care Hospital Moza, Shvesh; Mali, Pankaj K.; Pattar, Pratima M.; Panchal, Suraj B.; Chikkannasetty, Somashekara S.
Pharmacology and Clinical Pharmacy Research Vol 9, No 2 (2024)
Publisher : Universitas Padjadjaran, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15416/pcpr.v9i2.52189

Abstract

Severe Coronavirus disease 2019 (COVID-19) management has been challenging due to varying treatment protocol. Additionally, co-morbidities and older age group receiving polypharmacy increases the risk for drug-drug interactions (DDIs). With limited DDI research studies in Indian setup, we aimed to assess the frequency and severity of potential DDIs in COVID-19 ICU patients. This was a retrospective, observational study conducted in a tertiary care hospital, Karnataka, India. Case record of all patients aged ≥18 years with COVID-19 disease admitted to the COVID-19 ICU during March 2021 to July 2021 and treated with two drugs at least were included. A total of one hundred ninety one medical records of COVID-19 patients confirmed by RTPCR were reviewed from medical record department. DDIs were assessed by validated INTERCheck® web system and prescription appropriateness by Beers criteria. Among 191 COVID-19 treated patients, a total of 1049 pDDIs were recorded. Thirty nine percent of the total interactions were classified as potentially severe (class C + class D). Severe pDDIs increased significantly (140 to 274; p < 0.001) during hospitalization. Consistently, a significant increase in drug interactions trend was observed during hospitalization (432 to 617; p < 0.001). Hence, this study concludes that the severe pDDIs increased significantly during hospitalization and consistent increase in overall (Class A, B, C D) drug interactions trend was observed during hospitalization largely because of the drugs managed to treat comorbidities. Therefore, web based system with multidisciplinary team of expertise may be adopted in hospitals for regulating the dosage of interacting drugs and selecting substitute for over all optimizing the therapy.
The Rise of Artificial Intelligence in Pharmacy: Transforming Medication Management and Patient Care Anastasya, Gracia; Khairinisa, Miski A.
Pharmacology and Clinical Pharmacy Research Vol 9, No 2 (2024)
Publisher : Universitas Padjadjaran, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15416/pcpr.v9i2.57699

Abstract

Artificial intelligence (AI) is rapidly transforming healthcare, with significant implications for pharmacy practice. This review explores the diverse applications of AI in pharmacy, emphasizing its potential to revolutionize medication management, patient care, public health, disease management, and pharmacy workflow efficiency. AI algorithms can analyze a vast amount of patient data, allowing pharmacists to identify potential drug interactions, evaluate medication safety and effectiveness, and offer personalized treatment suggestions. In the realm of public health, AI supports disease management through epidemiological monitoring and targeted interventions. Additionally, AI-driven robotic dispensing systems and automated inventory management enhance pharmacy workflow efficiency by streamlining operations and optimizing resource allocation. Telepharmacy, further augmented by AI, expands access to healthcare, promotes patient engagement, and facilitates remote clinical consultations, thereby improving overall care delivery. Despite these advancements, challenges such as data privacy and potential bias in AI algorithms persist. However, the potential of AI in pharmacy is undeniable. By addressing these challenges and fostering collaboration among pharmacists, AI developers, and regulatory bodies, the future of pharmacy is poised to deliver personalized care, improved patient outcomes, and enhanced public health.This integration of AI into pharmacy practice represents a significant step toward a more effective and patient-centered approach to healthcare.
Analysis of Waiting Times for Compound and Non-Compound Prescription Services At Al-Masoem Pharmacy in Cibiru, Bandung City Shofwan, Adnan A.A.; Pitaloka, Dian A.E; Pradana, Eky S.
Pharmacology and Clinical Pharmacy Research Vol 9, No 2 (2024)
Publisher : Universitas Padjadjaran, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15416/pcpr.v9i2.54221

Abstract

Prescription services at Al Masoem Pharmacy, Cibiru should consider waiting time as one of the indicators for service provision to enhance service quality and ensure patient satisfaction. The aim of this research is to analyze the waiting time for prescription services at Al Masoem Pharmacy, Cibiru and assess compliance with the Minimum Service Standards for Pharmacies outlined in Minister of Health Regulation Number 73 of 2016. Observations of waiting times for prescription services at Al Masoem Pharmacy, Cibiru, located in Bandung Regency, were conducted over a period of 14 working days in February 2024, involving 365 prescriptions. This study utilized an observational method during the specified 14-day working period in February 2024, covering 365 prescriptions. The research findings indicate that both prepared and unprepared prescription services align with the time range specified in Ministerial Regulation No. 73 of 2016, which is 15-30 minutes. Based on observational data, the average waiting time for 44 compound prescriptions was 14 minutes and 18 seconds, while the average waiting time for 321 non-compound prescriptions was 7 minutes and 10 seconds.
5,6-, 8,9-, 11,12- and 14,15-Epoxyeicosatrienoic Acids (EETs) Induce Peripheral Receptor-Dependent Antinociception in PGE2-Induced Hyperalgesia in Mice Fonseca, Flavia C.S; Duarte, Igor D.G
Pharmacology and Clinical Pharmacy Research Vol 9, No 2 (2024)
Publisher : Universitas Padjadjaran, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15416/pcpr.v9i2.57750

Abstract

Epoxyeicosatrienoic acids (EETs) are cytochrome P450-epoxygenase-derived metabolites of arachidonic acid that act as endogenous signaling molecules in multiple biological systems, including their controversial effects on pain, including reports of the central analgesic effect and its action in inducing pain. The aim of this study was to verify the peripheral antinociceptive effect of EETs and the effect of the selective EET receptor antagonist, 14,15-EEZE, on this antinociception. The nociceptive threshold was determined by paw pressure withdrawal, and hyperalgesia was induced by intraplantar injection of PGE2 to evaluate the effect of EETs administration. EETs (5,6-, 8,9-, 11,12-, and 14,15-EET) were administered intraplantarly to male mice (n = 5). To examine the mechanism of action, a non-selective EET receptor antagonist (14,15-EEZE) was administered peripherally. Intraplantar injections of 5,6-, 8,9-, and 11,12-EET (32, 64, and 128 ng) or 14,15-EET (128, 256 and 512 ng), five minutes before the third hour after PGE2 injection induced a dose-dependent antinociceptive response. EETs showed peak action five minutes after injection, and this effect decreased concomitantly with a reduction in the nociceptive effect of PGE2 until approximately 100 min after injection (270 min after PGE2 injection). The maximum dose of each EET completely reversed the hyperalgesia induced by PGE2. The antinociceptive effect of EETs was confined to the paw that received the injection, indicating a localized effect. Intraplantar injection of the EET antagonist, 14,15-EEZE, reversed in a dose-dependent manner (32-512 ng/paw) the peripheral antinociception induced by 5,6-, 8,9-, 11,12-, and 14,15-EET. Our results provide evidence that EETs induce a peripheral antinociceptive effect and that the mechanism of action involves EET receptor activation.
Prescription Pattern Analysis in Patients of Alcohol Use Disorder coming to the Psychiatry OPD of a Tertiary Care Hospital: A Single Centre, Cross Sectional, Observational Study. Satav, Pradnya; Rashmi, Abhilasha; Nerlekar, Sharmada; Pawar, Sudhir; S, Sahana
Pharmacology and Clinical Pharmacy Research Vol 9, No 2 (2024)
Publisher : Universitas Padjadjaran, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15416/pcpr.v9i2.51197

Abstract

Alcohol is the commonest psychoactive substance used by Indians. The prevalence of alcohol dependence in India is estimated to be 2.7%. In Maharashtra, the prevalence of Alcohol Use Disorders (AUD) is about 4.9%. Prescription pattern monitoring studies are a tool for assessing the prescribing, dispensing and distribution of medicines. They promote appropriate use of drugs and reduction of their misuse. With changing guidelines and availability of newer drugs, it is the need of time to monitor the prescriptions. So, this study was done from October 2019 - January 2021 in a tertiary care teaching institute in western India on 100 patients which focuses on analysing the prescribing pattern of drugs in AUD patients. Along with this, potential drug interactions were checked using Medscape drug interaction checker. Comparison of prescriptions with 2018 APA guidelines was also done. Average 4.77 drugs were prescribed per patient per encounter. 65% patients were prescribed anti-craving drugs as oral tablets. Only 11% of them were listed in the NLEM, but none in hospital drug formulary. The maximum prescribed drugs of other groups were Vitamins (25.7%), Benzodiazepines (22.3%) and Antipsychotics (20.6%). 53.3% of these drugs were from hospital formulary. Potential drug-drug interactions were found in 76%. Adherence to 2018 APA guidelines was present in 89% cases. This study would provide an insight into the trends of drug utilization and feedback to prescribers to create an awareness about rational use of drugs. The evaluation of potential drug interactions can help in solving the problem of polypharmacy. 
The Health Profile of Students and Teachers in Madrasah Al Ihsan, Kecamatan Ciparay, Kabupaten Bandung Febrina, Ellin; Herawati, Irma E.; Wahyuni, Indah S.; Rusdianto, Aziiz M.; Hendriani, Rini; Puspitasari, Irma M.; Mutakin, Mutakin; Halimah, Eli; Sumiwi, Sri A.; Levita, Jutti
Pharmacology and Clinical Pharmacy Research Vol 9, No 2 (2024)
Publisher : Universitas Padjadjaran, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15416/pcpr.v9i2.51203

Abstract

The prevalence of diabetes mellitus and hypertension in Indonesia is increasing both in low- and high-income communities. Therefore, health awareness should be started from a younger age for the prospective future generation. This study, included in a community engagement activity, aims to assess the health profile, in terms of blood pressure (BP) and total cholesterol, of the students (by cross-sectional method) and teachers (by cohort method) of a private madrasah in the rural area of Kecamatan Ciparay, Kabupaten Bandung, West Java. 54 students and 10 teachers participated in this study. Results revealed that the students' average systolic and diastolic BP were 120.23 mmHg and 78.67 mmHg, respectively. The average systolic BP of the teachers in August 2021, January 2022, and August 2022 was 136.8 mmHg, 128.1 mmHg, and 131.9 mmHg, respectively. The average diastolic BP of the teachers in August 2021, January 2022, and August 2022 were 91.6 mmHg, 87.3 mmHg, and 87.1 mmHg, respectively. Moreover, the average cholesterol levels of the students (148.38 mg/dL) and the teachers (190.81 mg/dL) were categorized as normal. Taken together, the health profile of the students and the teachers in Madrasah Al Ihsan is within the normal range. This activity gets positive support from the school and needs sustainability.

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