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  • Monte Carlo simulation of the cost-effectiveness of sample size maintenance programs revealed the need to consider substitution sampling

    Author(s)
    David, Michael C
    Bensink, Mark
    Higashi, Hideki
    Donald, Maria
    Alati, Rosa
    Ware, Robert S
    Griffith University Author(s)
    Ware, Robert
    Year published
    2012
    Metadata
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    Abstract
    Objective: To assess the cost-effectiveness of sample size maintenance programs in a prospective cohort. Study Design and Setting: The Living with Diabetes Study in Queensland, Australia is a longitudinal survey providing a comprehensive examination of health care utilization and disease progression among people with diabetes. Data from this study were used to compare the cost-effectiveness of a program incorporating substitution sampling with two alternative programs: “no follow-up” and “usual practice.” Results: A program involving substitution sampling was shown to be the most effective with an additional 3,556 complete ...
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    Objective: To assess the cost-effectiveness of sample size maintenance programs in a prospective cohort. Study Design and Setting: The Living with Diabetes Study in Queensland, Australia is a longitudinal survey providing a comprehensive examination of health care utilization and disease progression among people with diabetes. Data from this study were used to compare the cost-effectiveness of a program incorporating substitution sampling with two alternative programs: “no follow-up” and “usual practice.” Results: A program involving substitution sampling was shown to be the most effective with an additional 3,556 complete responses (compared with a “no follow-up” program) and an additional 2,099 complete responses (compared with “usual practice”). An incremental analysis through a Monte Carlo simulation found substitution sampling to be the most cost-effective option for maintaining sample size with an incremental cost-effective ratio of $54.87 (95% uncertainty interval $52.68–$57.25) compared with $87.58 ($77.89–$100.09) for “usual practice.” Conclusions: Based on the available data, a program involving substitution sampling is economically justified and should be considered in any approach with the aim of maintaining sample size. There is, however, a continuing need to evaluate the effectiveness of this option on other outcome measures, such as bias.
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    Journal Title
    Journal of Clinical Epidemiology
    Volume
    65
    Issue
    11
    DOI
    https://doi.org/10.1016/j.jclinepi.2012.04.013
    Subject
    Mathematical sciences
    Biomedical and clinical sciences
    Clinical sciences not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/172330
    Collection
    • Journal articles

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