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    In a recent article [Testing – the most effective tool for database marketing], we have analysed the importance of
    According to USFDA, a combination product is one composed of any combination of a drug and device; biological product and device; drug and biological product
    testing in marketing campaign management. Testing is done by promoting an offer to a smaller group of customers in order
    ; or drug, device, and biological product and fixed dose combination would include two or more combinations of drug.

    Examples of combination products may in
    o evaluate the effectiveness of the whole approach (value proposition, message used, timing, target group). This smaller
    lude drug-coated devices, drugs packaged with delivery devices in medical kits, and drugs and devices packaged separately but intended to be used together.

    roup is a sample which is used to predict the behavior of a larger group. Sampling always introduces bias in any measurem
    here is enormous increase in the number of combination products entering the market in the recent years. Combination products have proven advantages but fixe
    nt. The larger the sample is, the smaller the bias introduced. Assuming that:

    • an expected positive response rate
    d dose combinations are still in the process of convincing regulatory authority on their advantages over the single ingredient formulations.

    Combination pro
    p is 2 % (the percent of customers accepting the offer - this estimate may be an average of previous similar tests),
    ucts have become life saving products for the pharmaceutical companies who doesn’t have many innovative molecules in their product pipeline and have been inc
  • an expected standard deviation S 0,05 % in response rates. This estimate may be derived from previous tests: S can be
  • easingly used in the product life cycle management. Even the companies having product patents are trying to extend their product life cycle through the combi
    calculated after executing a campaign on a group of given size (actually, the accurate term for this is ‘standard e
    nation products and maximize the revenues. But the companies involved in this practice are overlooking that they are burdening the patients both economically
    ror of a proportion’ in a binomial distribution which however resembles highly the normal distribution),
    and physically. They need to rightly judge the benefits of the combination products and they have to even look at the risks involved when combining the produ
    very simple formula to estimate the size of the needed test group is the following: Group size = p * (1-p) / square(S) ,
    ts. Some of the combination products were well accepted by physicians while others suffered. Companies involved in development of combination products are fi
    and yields a value of 78.400. Should a sensitivity analysis be carried out by changing the input values, the results do n
    ding difficulty in defining their combination products and facing various challenges from selecting a combination to marketing it.

    Following aspects would a
    t provide a feeling of a stable estimation. For example if the expected positive response rate p is 1,5 % and the expecte
    dd to the challenges in developing combination products:

    Which markets to tap where the combination products can do fairly well?
    Which combination prod
    standard deviation S 0,06 % then the group size should be 41.042. The sensitivity analysis helps recognise the importanc
    cts are meaningful and rational?
    Which therapeutic categories to select?
    Which Combinations can address unmet needs of the patients?
    Do combin
    of the estimations used. A relatively small change leads to a huge difference. Therefore, Campaign managers should analy
    tions increase the patient compliance?
    What would be the developing cost?
    How to tackle the risks encountered during combination product developmen
    e the findings of previous campaigns, in order to have a good idea on the expected range of p and S values. Previous find
    t?

    As combination products don't fit into the traditional categories of drugs, medical devices, or biological products, the USFDA is in the process of devel
    ngs contribute to the adjustment of future test group sizes. Though this may not be a highly safe approach in dynamically
    ping new procedures for reviewing their safety, efficacy and quality.

    Professional from academic institutions, pharmaceutical industries, health care indust
    changing market conditions and offers, it is much better than using randomly selected group sizes, which may lead either
    y and representatives from various regulatory agencies are working out to design the regulatory requirements for manufacture and sale of combination products
    o inaccurate findings or wasted resources when the group size is much higher than needed. Concluding, in order to build c
    .

    As there is an increasing trend of the combination products companies manufacturing such products should be able to tackle the problems involved in the de
    mpaign management intelligence, a Business should capture and analyze the results of each campaign or test campaign. The
    elopment. They need to be wiser in analyzing the market trends and the regulatory requirements.

    Companies that provide selfless information through particip
    valuation of these results shall assist in the optimization of future campaigns. Copyright 2006 – Kostis Panayotaki


    tion in industry events and feedback to regulatory authorities would be able to face the challenges and will be successful in developing combination products

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