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Risk-Adjusted Control Charts for Health Care Monitoring
Author
Source
International Journal of Mathematics and Mathematical Sciences
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-10-30
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Attribute data from high-quality processes can be monitored effectively by deciding on whether or not to stop at each time where r≥1 failures have occurred.
The smaller the degree of change in failure rate during out of control one wants to be optimally protected against, the larger the r should be.
Under homogeneity, the distribution involved is negative binomial.
However, in health care monitoring, (groups of) patients will often belong to different risk categories.
In the present paper, we will show how information about category membership can be used to adjust the basic negative binomial charts to the actual risk incurred.
Attention is also devoted to comparing such conditional charts to their unconditional counterparts.
The latter do take possible heterogeneity into account but refrain from risk-adjustment.
Note that in the risk adjusted case several parameters are involved, which will all be typically unknown.
Hence, the potentially considerable estimation effects of the new charts will be investigated as well.
American Psychological Association (APA)
Albers, Willem. 2011. Risk-Adjusted Control Charts for Health Care Monitoring. International Journal of Mathematics and Mathematical Sciences،Vol. 2011, no. 2011, pp.1-16.
https://search.emarefa.net/detail/BIM-506182
Modern Language Association (MLA)
Albers, Willem. Risk-Adjusted Control Charts for Health Care Monitoring. International Journal of Mathematics and Mathematical Sciences No. 2011 (2011), pp.1-16.
https://search.emarefa.net/detail/BIM-506182
American Medical Association (AMA)
Albers, Willem. Risk-Adjusted Control Charts for Health Care Monitoring. International Journal of Mathematics and Mathematical Sciences. 2011. Vol. 2011, no. 2011, pp.1-16.
https://search.emarefa.net/detail/BIM-506182
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-506182