Understanding the Number Needed to Treat (NNT) in Medicine

A “New” Clinical Numeric

DR. DAVID EDWARD MARCINKO MBA MEd

This physician-led medical website  http://www.thennt.com/ seeks to explain to patients and physicians how well a particular treatment or medicine is likely to work based on a statistical model called the “Number Needed to Treat.”

Calculation

This is not really a new calculation, as it has been know for many years. In fact, I review and teach it in several of my undergraduate, graduate and business school courses [healthcare administration, statistics, epidemiology, infection control, community, public and population health, etc], and have been doing so for a few years now. My students are always amazed by it.

Brief Definition

The NNT is “a measurement of the impact of a medicine or therapy by estimating the number of patients that need to be treated in order to have an impact on one person.”

Detailed Definition

According to wikipedia; the number needed to treat (NNT) is an epidemiological measure used in assessing the effectiveness of a health-care intervention, typically a treatment with medication. The NNT is the number of patients who need to be treated in order to prevent one additional bad outcome (i.e. the number of patients that need to be treated for one to benefit compared with a control in a clinical trial). It is defined as the inverse of the absolute risk reduction.

The NNT was first described in 1988. The ideal NNT is 1, where everyone improves with treatment and no-one improves with control. The higher the NNT, the less effective is the treatment. Variants are sometimes used for more specialized purposes.

One example is number needed to vaccinate. NNT values are time-specific. For example, if a study ran for 5 years and it was found that the NNT was 100 during this 5 year period, in one year the NNT would have to be multiplied by 5 to correctly assume the right NNT for only the one year period (in the example the one year NNT would be 500).

Source: http://en.wikipedia.org/wiki/Number_needed_to_treat

Assessment

For more information:

http://www.physiciansnews.com/2010/10/06/new-website-by-docs-shows-data-on-treatment-outcomes/

Conclusion

And so, your thoughts and comments on this ME-P are appreciated. Give em’ a click and tell us what you think http://www.thennt.com? Do you use the concept of NNT in your clinical medical practice; why or why not? Feel free to review our top-left column, and top-right sidebar materials, links, URLs and related websites, too. Then, subscribe to the ME-P. It is fast, free and secure.

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CLINICAL DRUG TRIALS: Safer?

By Staff Reporters

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A new device could make drug trials safer

Northwestern University scientists have developed a smaller-than-a-shoebox contraption that can simulate how the human body reacts to various diseases or medications. This technology could be used as an additional fail-safe check in clinical trials between the animal and human testing stages. The device makes it easier for scientists to understand how diseases and drugs affect the body because it can simulate the effects of up to eight different organ tissue samples at once for as long as 28 days.

It’s a big step up from current drug-simulating lab systems, which can only accommodate two tissue cultures that don’t last for very long.

COMMENTS APPRECIATED

Thank You

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How New Vaccines are Developed?

Approved and Manufactured [Phases 1, 2 and 3]

By staff reporters

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“Medical Management and Health Economics Education for Financial Advisors”

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eHRs and Clinical Trials

An Oft Neglected Topic

By Chris Thorman

I wanted to give the ME-P a heads up on an article I just finished about a neglected topic in the eHR debate concerning clinical trial participation.

It’s called: Electronic Health Records and Clinical Trials: An Incentive to Integrate.

The Argument

In the article, I make the argument that clinical trials should play a bigger role in whether or not to purchase eHR software because:

  • The potential profit from participating in clinical trials is so large that it dwarfs the HITECH Act incentives;
  • eHRs make clinical trial participation much easier than in the past; and,
  • eHR software has the potential to solve many of the problems that clinical trials face.

Editors Note: So, let’s try to spark some discussion on this oft-ignored topic. And, feel free to contact the author.

Chris Thorman
Senior Marketing Manager
Software Advice
(512) 364-0118

chris@softwareadvice.com

Conclusion

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