This Man's Simple System Could Transform American Medicine

This Man's Simple System Could Transform American Medicine

11/7/2014

link

https://www.wired.com/2014/10/number-needed-to-treat/

summary

This article explores the concept of 'Number Needed to Treat' (NNT) in the context of medical treatments and interventions. NNT is a statistical measure that quantifies the effectiveness of a medical intervention by indicating the number of patients who need to be treated in order to achieve a desired outcome in one patient. The article emphasizes the importance of considering NNT when evaluating the benefits and risks of a particular treatment. It discusses how NNT can provide a clearer understanding of the actual impact of a treatment compared to just looking at relative risk reduction or the percentage of patients who respond positively. The author argues that understanding NNT can help both healthcare providers and patients make more informed decisions when it comes to choosing appropriate treatments.

tags

medical research ꞏ statistics ꞏ healthcare ꞏ evidence-based medicine ꞏ clinical trials ꞏ medical treatment ꞏ research study ꞏ patient outcomes ꞏ medical science ꞏ medical statistics ꞏ medical data ꞏ medical research methodology ꞏ medical discoveries ꞏ medical breakthroughs ꞏ medical advancements ꞏ medical effectiveness ꞏ healthcare decision making ꞏ treatment effectiveness ꞏ medical studies ꞏ medical analysis ꞏ medical findings ꞏ medical evidence ꞏ medical practice ꞏ medical interventions ꞏ medical treatment guidelines ꞏ clinical guidelines ꞏ medical ethics ꞏ healthcare policy ꞏ medical statistics analysis ꞏ medical statistics interpretation ꞏ medical research findings ꞏ healthcare effectiveness ꞏ healthcare outcomes ꞏ medical research design ꞏ medical research validity ꞏ medical research reliability ꞏ medical research limitations ꞏ number needed to treat ꞏ nnt ꞏ medical data analysis ꞏ medical data interpretation ꞏ medical data evaluation ꞏ medical data reliability ꞏ healthcare decision analysis ꞏ healthcare decision evaluation