IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v23y2003i3p242-251.html
   My bibliography  Save this article

Properties of the Cumulative Risk-Adjusted Mortality (CRAM) Chart, Including the Number of Deaths Before a Doubling of the Death Rate is Detected

Author

Listed:
  • Charalambos Sismanidis
  • Martin Bland
  • Jan Poloniecki

Abstract

The cumulative risk-adjusted mortality (CRAM) chart is intended to detect changes in the failure rate in a sequence of trials when the relative risk but not the absolute risk of failure at each trial is known. For example, surgical mortality can be monitored taking into account the heterogeneity of patients and procedures. We simulate abrupt change to twice or half the previous failure rate and series with no change. As with any control procedure, changes are eventually signaled whether or not real changes have occurred. With initial mean failure rates ranging from 1% to 25%, the median number of failures before a doubling is signaled is about 20 (i.e., about 10 extra failures) and is nearly independent of the extent of heterogeneity in the series. CRAM chart calculations give an estimate of the risk of failure at the next trial, and we document the performance of this estimate.

Suggested Citation

  • Charalambos Sismanidis & Martin Bland & Jan Poloniecki, 2003. "Properties of the Cumulative Risk-Adjusted Mortality (CRAM) Chart, Including the Number of Deaths Before a Doubling of the Death Rate is Detected," Medical Decision Making, , vol. 23(3), pages 242-251, May.
    • Handle: RePEc:sae:medema:v:23:y:2003:i:3:p:242-251
    DOI: 10.1177/0272989X03023003006
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X03023003006
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0272989X03023003006?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Athanasios Sachlas & Sotirios Bersimis & Stelios Psarakis, 2019. "Risk-Adjusted Control Charts: Theory, Methods, and Applications in Health," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 11(3), pages 630-658, December.
    2. Nataliya Chukhrova & Arne Johannssen, 2020. "Monitoring of high-yield and periodical processes in health care," Health Care Management Science, Springer, vol. 23(4), pages 619-639, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:medema:v:23:y:2003:i:3:p:242-251. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.