AbstractAdverse Drug Reactions (ADRs) are common and are associated with significant risk of morbidity, mortality and admission to hospital. Deciding if a clinical event is an Adverse Drug Reaction, or not, can be difficult. The decision is often based on clinical judgment alone, yet studies have shown that decisions based on clinical judgment often vary greatly between raters.Therefore a number of decision aids or Algorithms have been developed to try and improve this variability. Studies have shown that the use of algorithms does improve the between and within rater agreement significantly, and gives a semi-quantitative measure of the likelihood of causality. There are variations between these algorithms but none of them can in themselves...
BACKGROUND The identification and assessment of adverse drug reactions (ADRs) is very challenging...
PURPOSE: To determine the reliability of the assessment of preventable adverse drug events (ADEs) in...
The electronic healthcare databases are starting to become more readily available and are thought to...
AbstractAdverse Drug Reactions (ADRs) are common and are associated with significant risk of morbidi...
Background: The detrimental effects of adverse drug reactions (ADRs) are well established. Hence, pr...
Different algorithms have been developed to standardize the causality assessment of adverse drug rea...
The author has suggested an algorithm for the categorization of adverse reactions (AR) in large-scal...
BACKGROUND & OBJECTIVES:Different algorithms have been developed to standardize the causality assess...
Within an ongoing drug surveillance program in psychiatric hospitals, the applicability of an algori...
<p>Algorithms selected for the causality assessment of adverse drug reactions in a public and genera...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/110093/1/cptclpt1985156.pd
PURPOSE: To estimate causation of adverse drug reaction (ADR) reports, causality methods were develo...
Establishing a relationship of causality between the medications received and the events occurred ut...
Background: Causality assessment of adverse drug reactions (ADRs) is an essential approach in pharma...
We describe a spreadsheet method for implementing Bayesian causality assessment of suspected adverse...
BACKGROUND The identification and assessment of adverse drug reactions (ADRs) is very challenging...
PURPOSE: To determine the reliability of the assessment of preventable adverse drug events (ADEs) in...
The electronic healthcare databases are starting to become more readily available and are thought to...
AbstractAdverse Drug Reactions (ADRs) are common and are associated with significant risk of morbidi...
Background: The detrimental effects of adverse drug reactions (ADRs) are well established. Hence, pr...
Different algorithms have been developed to standardize the causality assessment of adverse drug rea...
The author has suggested an algorithm for the categorization of adverse reactions (AR) in large-scal...
BACKGROUND & OBJECTIVES:Different algorithms have been developed to standardize the causality assess...
Within an ongoing drug surveillance program in psychiatric hospitals, the applicability of an algori...
<p>Algorithms selected for the causality assessment of adverse drug reactions in a public and genera...
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/110093/1/cptclpt1985156.pd
PURPOSE: To estimate causation of adverse drug reaction (ADR) reports, causality methods were develo...
Establishing a relationship of causality between the medications received and the events occurred ut...
Background: Causality assessment of adverse drug reactions (ADRs) is an essential approach in pharma...
We describe a spreadsheet method for implementing Bayesian causality assessment of suspected adverse...
BACKGROUND The identification and assessment of adverse drug reactions (ADRs) is very challenging...
PURPOSE: To determine the reliability of the assessment of preventable adverse drug events (ADEs) in...
The electronic healthcare databases are starting to become more readily available and are thought to...