scholarly journals Knowledge, attitude and practice of adverse drug reaction monitoring and reporting among nurses of secondary healthcare

Author(s):  
Sachidananda MN ◽  
Nandth Banavalikar
Author(s):  
Toshan L. Todar ◽  
Manju Agrawal ◽  
Rajesh Hishikar ◽  
Anuja Jha ◽  
Basant Maheshwari ◽  
...  

Background: Pharmacovigilance has evolved as an important tool for dealing with Adverse Drug Reactions (ADRs) both in pre-marketing and post-marketing scenario. Underreporting of ADRs at our Adverse drug reaction Monitoring Centre (AMC) led us to conduct this study to assess Knowledge, Attitude and Practice (KAP) of the practicing clinicians at our tertiary care Pt. J.N.M. Medical College associated Dr. B.R.A.M. Hospital, Raipur, Chhattisgarh, India, towards ADRs reporting.Methods: This was a cross-sectional study using pretested questionnaires consisting of 29 questions related to KAP of the practicing clinicians at Pt. J.N.M. Medical College associated Dr. B.R.A.M.  Hospital, Raipur towards ADRs reporting. The percentage of responders for each question was calculated. All statistical analysis was performed in Microsoft Office Excel 2007.Results: Out of 135 questionnaires distributed only 100 were considered for analysis, so the overall response rate was 74.07%. We calculated the result from the 100 responders. Overall 77% responders were aware of existence of ADR monitoring system in India, while only 40% were aware of its existence at their hospital. Only 8% responders had reported ADRs to the National Pharmacovigilance Centre and 10% to the Adverse drug reaction Monitoring Centre (AMC) at their hospital. Lack of knowledge about where, how and whom to report ADRs, lack of time, inability to decide what to report (known or unknown ADRs) and unavailability of ADR reporting form were the important factors discouraging them reporting ADRs.Conclusions: Creating awareness regarding ADR reporting through CMEs among practicing clinicians and early sensitization at medical undergraduate level for medical students may improve the current ADR reporting rate.  


2020 ◽  
Vol 3 (2) ◽  
pp. 54-58
Author(s):  
Ajay K Gupta

ABSTRACT Introduction An adverse drug reaction (ADR) is any undesirable effect of a drug to the patient beyond its anticipated therapeutic effects while used clinically. Aims and objective To analyze the incidence of ADRs in a tertiary care hospital reported from April 2015 till December 2017. Materials and methods Two hundred ADR forms were included in the study and analyzed. These were codified into various drug classes according to anatomical therapeutic chemical (ATC) classification based on WHO–ATC Index 2019 besides categorized into preventable or not modified Schumock and Thornton scale. Severity was assessed based on a scale by Hartwig et al. Also, the ADRs were classified based on MedDRA 13.01 to system organ class (SOC) and preferred terms (PT) falling under respective SOC. Results Maximum ADRs were reported by dermatology. Most commonly, it involved gastrointestinal system (GIT) followed by skin. Antibiotics and anti-cancer drugs caused maximum ADRs. About two-thirds were classifiable as moderate to severe, whereas about one-third were preventable. About 10% of cases were such that left deep impact of sequelae or were not recovered and one case was fatal. Conclusion Extreme vigilance by clinicians is of utmost crucial virtue in detecting, diagnosing, and reporting such ADR for continued drug safety monitoring. How to cite this article Gupta AK. A Retrospective Descriptive Study of Adverse Drug Reaction Monitoring in Tertiary Care Hospital. J Med Acad 2020;3(2):54–58.


Author(s):  
Richard A. O’Keefe ◽  
Nathan Rountree

In this chapter, the authors discuss the characteristics of data collected by the New Zealand Centre for Adverse Drug Reaction Monitoring (CARM) over a five-year period. The authors begin by noting the ways in which adverse reaction data are similar to market basket data, and the ways in which they are different. They go on to develop a model for estimating the amount of missing data in the dataset, and another to decide whether a drug is rare simply because it was only available for a short time. They also discuss the notion of “rarity” with respect to drugs, and with respect to reactions. Although the discussion is confined to the CARM data, the models and techniques presented here are useful to anyone who is about to embark on an association mining project, or who needs to interpret association rules in the context of a particular database.


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