3 results match your criteria: "Nizwa University[Affiliation]"
Adverse Drug Reactions Among Hospitalized Psychiatric Patients, Prevalence, Severity, Preventability, and Opportunities for Intervention.
Oman Med J
May 2024
Pharmaceutical Care Department, Directorate General of Medical Supplies, Ministry of Health, Muscat, Oman.
Article Synopsis
- - The study aimed to enhance pharmacovigilance in a psychiatry referral hospital by identifying patterns of adverse drug reactions (ADRs) and promoting patient safety through the role of pharmacists in managing these reactions.
- - Adult patients aged 18-60 treated with psychotropic medications were examined, with a focus on ADR documentation, analyzing causality, severity, and management using specific assessment scales.
- - Out of 506 patients, 327 ADRs were recorded, with neurological ADRs being the most common; factors like gender and type of medication used influenced the occurrence and type of ADRs observed.
Effectiveness of the Eutectic Mixture of Local Anaesthetics Cream in the Management of Arteriovenous Fistula Needle Insertion Pain in Patients Undergoing Haemodialysis.
Sultan Qaboos Univ Med J
February 2024
Department of Urology, The Royal Hospital, Muscat, Oman.
This review aimed to assess the effectiveness of the eutectic mixture of local anaesthetics (EMLA) cream in the management of arteriovenous fistula (AVF) needle insertion pain in adult patients undergoing haemodialysis (HD) compared with other alternative interventions. The main search was conducted in November 2020 and updated in December 2021. In the search strategy, keywords and synonyms were used and multiple databases were searched with no date limitation to ensure a comprehensive search that would yield all studies relevant to the review and minimise location bias.
View Article and Find Full Text PDFInternet of things dataset for home renewable energy management.
Data Brief
April 2024
Department of Information Systems, College of Economics, Management & Information Systems, Nizwa University, Nizwa, Sultanate of Oman.
Smart cities, as well as smart homes research, are becoming of concern, especially in the field of energy consumption and production. However, there is a lack in the dataset that can be used to simulate smart city energy consumption and prediction or even smart homes. Therefore, this paper provides a carefully generated dataset for smart home energy management simulation.
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