Abstract
The effectiveness of cancer screening and adherence to cancer screening guidelines can be inhibited by long wait times for screening appointments. In this article, the authors develop a queueing network model of screening for a disease within a population of patients with imperfect adherence to screening guidelines to characterize the relationship between the screening request frequency rate and the wait time for screens. They first use their model to derive the capacity needed by a given system or the population size a given system can serve to guarantee a certain service level, and then analyze routine screening for average-risk patients as well as the additional capacity required for diagnostic screening and surveillance of high-risk patients. Finally, the authors perform a numerical study using national public health data for colorectal cancer (CRC) screening in the United States and provide insights for public health officials, providers, and policy makers, showing how queueing models can be applied to regional planning decisions for determining CRC screening capacity requirements.
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