Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A mathematical model for timing repeated medical tests.

D M Eddy

    Medical Decision Making : an International Journal of the Society for Medical Decision Making
    |January 1, 1983
    PubMed
    Summary

    This study introduces a mathematical model to assess the clinical and economic impacts of patient monitoring. It allows comparison of various screening strategies for different diseases and tests, optimizing health outcomes.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    The metabolic syndrome and cardiovascular risk: implications for clinical practice.

    International journal of obesity (2005)·2008
    Same author

    The use of evidence and cost effectiveness by the courts: how can it help improve health care?

    Journal of health politics, policy and law·2001
    Same author

    Enhancing performance measurement: NCQA's road map for a health information framework. National Committee for Quality Assurance.

    JAMA·1999
    Same author

    Who should determine when health care is medically necessary?

    The New England journal of medicine·1999
    Same author

    Performance measurement: problems and solutions.

    Health affairs (Project Hope)·1998
    Same author

    Breast cancer screening in women younger than 50 years of age: what's next?

    Annals of internal medicine·1997

    Area of Science:

    • Health economics
    • Mathematical modeling
    • Clinical decision analysis

    Background:

    • Periodic patient examinations are crucial for early disease detection and management.
    • Optimizing monitoring strategies requires a comprehensive understanding of disease progression and test efficacy.
    • Evaluating the clinical and economic consequences of different screening protocols is complex.

    Purpose of the Study:

    • To develop a mathematical model for estimating clinical and economic outcomes of patient monitoring.
    • To enable comparison of diverse monitoring strategies for various disorders, tests, and frequencies.
    • To provide a framework for analyzing the impact of screening on disease detection and patient outcomes.

    Main Methods:

    • Formulas incorporating disease incidence, natural history, test effectiveness, and treatment efficacy.
    • Calculation of detection probability, method, timing, and earliness (stage) of diagnosis.
    • Application of the model to hypothetical scenarios and real-world cancer screening problems.

    Main Results:

    • The model quantifies the probability and earliness of disorder detection.
    • It estimates both clinical benefits (e.g., improved outcomes) and economic impacts (e.g., cost-effectiveness).
    • Demonstrated utility in analyzing complex cancer screening scenarios with multiple diseases and tests.

    Conclusions:

    • The developed mathematical model offers a robust tool for evaluating patient monitoring strategies.
    • It facilitates informed decision-making in clinical practice and health policy regarding screening programs.
    • The model's flexibility allows for adaptation to various medical conditions and testing modalities.

    Related Experiment Videos