Estimating Cancer Screening Sensitivity and Specificity Using Healthcare Utilization Data: Defining the Accuracy Assessment Interval
Year: 2022
Type: article
Abstract: The effectiveness and efficiency of cancer screening in real-world settings depend on many factors, including test sensitivity and specificity. Outside of select experimental studies, not everyone receives a gold standard test that can serve as a comparator in estimating screening test accuracy. Thus, many studies of screening test accuracy use the passage of time to infer whether or not cancer was present at the time of the screening test, particularly for patients with a negative screening test. We define the accuracy assessment interval as the period of time after a screening test that is used to estimate the test's accuracy. We describe how the length of this interval may bias sensitivity and specificity estimates. We call for future research to quantify bias and uncertainty in accuracy estimates and to provide guidance on setting accuracy assessment interval lengths for different cancers and screening modalities.
Institutions: Kaiser Permanente Washington Health Research Institute, University of Washington, Kaiser Permanente, Fred Hutch Cancer Center, Cancer Research And Biostatistics, National Cancer Institute, Henry Ford Health, University of Pennsylvania, Washington University in St. Louis, Harold C. Simmons Comprehensive Cancer Center, The University of Texas Southwestern Medical Center
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
Funder: National Cancer Institute
Awards: Multi-level Optimization of the Cervical Cancer Screening Process in Diverse Settings & Populations (METRICS), Coordinating Center for Population-based Research to Optimize Cancer Screening (PROSPR) (U24), Optimizing Colorectal Cancer Screening PREcision and Outcomes in CommunIty-baSEd Populations (PRECISE), Center for Research to Optimize Precision Lung Cancer Screening in Diverse Populations, Washington University Paul Calabresi K12 Career Development Award for Clinical Oncology
OpenAlex ID: W4289521927
