Risk-Adjusted Control Charts for Health Care Monitoring
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....
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| Format: | Article |
| Language: | English |
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Wiley
2011-01-01
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| Series: | International Journal of Mathematics and Mathematical Sciences |
| Online Access: | http://dx.doi.org/10.1155/2011/895273 |
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| author | Willem Albers |
| author_facet | Willem Albers |
| author_sort | Willem Albers |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-1274b6ed30334dc6ad9307645a84d175 |
| institution | Kabale University |
| issn | 0161-1712 1687-0425 |
| language | English |
| publishDate | 2011-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Mathematics and Mathematical Sciences |
| spelling | doaj-art-1274b6ed30334dc6ad9307645a84d1752025-02-03T05:44:52ZengWileyInternational Journal of Mathematics and Mathematical Sciences0161-17121687-04252011-01-01201110.1155/2011/895273895273Risk-Adjusted Control Charts for Health Care MonitoringWillem Albers0Department of Applied Mathematics, University of Twente, P.O. Box 217, 7500 AE Enschede, The NetherlandsAttribute 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.http://dx.doi.org/10.1155/2011/895273 |
| spellingShingle | Willem Albers Risk-Adjusted Control Charts for Health Care Monitoring International Journal of Mathematics and Mathematical Sciences |
| title | Risk-Adjusted Control Charts for Health Care Monitoring |
| title_full | Risk-Adjusted Control Charts for Health Care Monitoring |
| title_fullStr | Risk-Adjusted Control Charts for Health Care Monitoring |
| title_full_unstemmed | Risk-Adjusted Control Charts for Health Care Monitoring |
| title_short | Risk-Adjusted Control Charts for Health Care Monitoring |
| title_sort | risk adjusted control charts for health care monitoring |
| url | http://dx.doi.org/10.1155/2011/895273 |
| work_keys_str_mv | AT willemalbers riskadjustedcontrolchartsforhealthcaremonitoring |