Introduction: Prescription writing is an important task performed by a doctor during patient management. Prescription refers to written instructions given to a patient regarding medications. Lack of attention during prescription writing can lead to prescription errors which in turn can adversely affect patients' well-being. Thus, prescriptions are an important target area for improvement.
Aim: The purpose of the present study was to analyze the quality of prescriptions dispensed by the students of The Oxford Dental College and Hospital, Bangalore and to compare the prescription writing patterns amongst undergraduates, interns and postgraduates of this institution.
Materials And Methods: A cross-sectional study was conducted on 500 randomly selected prescriptions dispensed by the students of The Oxford Dental College and Hospital, Bangalore, India. All the prescriptions were analyzed for the presence of (a) Patient's information: Out-Patient file number, name, age, gender, address and contact number (b) Doctors information: Full name, department name, qualification, contact details, date of prescription, superscription, and signature (c) Drug information: Name, strength, dosage form, dosage instructions, duration and total quantity. Each prescription was further categorized into groups A, B, C or D, depending on the scores obtained. Prescription quality was then compared between the undergraduates, interns and postgraduates.
Results: Analysis of prescriptions performed using Chi-square test showed that groups A, B, C and D had 12 (2%), 155 (31%), 333 (67%) and 0 (0%) students respectively. Association between the groups and qualifications showed statistically significant results (p<0.05). Undergraduate prescriptions were better written in comparison to interns and postgraduates.
Conclusion: Findings of the current study demonstrate the need for further improvement in the quality of prescription writing by students of The Oxford Dental College and Hospital, Bangalore, India.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4843389 | PMC |
http://dx.doi.org/10.7860/JCDR/2016/18011.7472 | DOI Listing |
BMJ Open
December 2024
Department of Medicine, The University of Chicago, Chicago, Illinois, USA.
Objective: The COVID-19 pandemic required the rapid and often widespread implementation of medical practices without robust data. Many of these practices have since been tested in large, randomised trials and were found to be in error. We sought to identify incorrect recommendations, or reversals, among National Institute of Health COVID-19 guidelines and Food and Drug Administration (FDA) approvals and authorisations.
View Article and Find Full Text PDFAnimals (Basel)
December 2024
Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, ON N1G2W1, Canada.
Veterinarians are essential in antimicrobial stewardship. Companion animal (CA) practitioners have recently received more attention. There are few relevant studies on CA antimicrobial prescribing practices in South Asia.
View Article and Find Full Text PDFUrologie
January 2025
Medizinische Klinik VI, Nationales Zentrum für Tumorerkrankungen (NCT), Universitätsklinikum Heidelberg, Heidelberg, Deutschland.
The aim of this article is to raise awareness among healthcare providers about the adverse events (AEs) associated with the combined treatment with enfortumab vedotin and pembrolizumab. The differential diagnostic allocation of these AEs to the respective agents is discussed, overlaps between the side effect profiles of the two drugs are identified and strategies for an effective management of these AEs are presented. The recommendations are based on the currently valid prescription information for both drugs, the results of pivotal approval studies and the guidelines of recognized specialist organizations as well as the clinical experience of the authors.
View Article and Find Full Text PDFBMC Infect Dis
January 2025
Department of Infectious Diseases, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico, 15 Vasco de Quiroga, Belisario Domínguez Secc 16 Tlalpan, Mexico City, 14080.
Background: Antimicrobial resistance is a global threat to public health. Chat Generative Pre-trained Transformer (ChatGPT) is a language model tool based on artificial intelligence. ChatGPT could analyze data from antimicrobial susceptibility tests in real time, especially in places where infectious diseases (ID) specialists are not available.
View Article and Find Full Text PDFViruses
November 2024
Centre for Clinical Research, Epidemiology, Modelling and Evaluation (CREME), Institute for Global Health, Univesity College London, London WC1E 6BT, UK.
: This study examined the impact of the COVID-19 lockdown on antiretroviral therapy (ART) prescriptions among persons living with HIV (PWH) in Italy. : Data from the ICONA cohort included ART-naïve individuals who started ART between January 2019 and December 2022, and ART-experienced individuals who started new ART with HIV RNA ≤50 cps/mL from January 2016 to December 2022. The analysis focused on the proportion of PWH starting or switching to dual (2DR) versus triple (3DR) ART regimens.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!