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Nurses determined the presence of an AE based on the presence of an injury and harm associated with healthcare management and then assigned a National Coordinating Council for Medication Error Reporting and Prevention (NCC-MERP) classification of harm for each event (table 1).
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Because governments formulate criminal and social policies based upon classifications of harm, a new study published by the Lancet on November 1st makes interesting reading.
Biases exist at several levels: reporting of harmful versus non-harmful events and correct classification of categories of harm.
Biases also exist at several levels: reporting of harmful versus non-harmful events and correct classification of categories of harm.
No classification of the severity of harm was feasible.
The principal author reviewed all classifications of self-harm variables and in the few cases (n = 6) with a discrepancy, a consensus was reached with the senior author.
Famously, in 2009 David Nutt was fired from chairing the council after challenging the classification of drugs based on harm.
We are facing a rush classification of a drug, the harms of which are still little understood.
We developed a new classification system for the assessment of selective non-reporting of harm outcomes, and we demonstrate the application of this classification in two cohorts of systematic reviews to characterise the reasons for the non-reporting of harms data.
In 2007, Nutt et al 4 attempted to reassess the system of drug classification and produce a more contemporary hierarchy of harm.
Thus, a more accurate classification of risk would reduce potential harm in a vulnerable population.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com