Estimating Cancer Screening Sensitivity and Specificity Using Healthcare Utilization Data: Defining the Accuracy Assessment Interval

Author:

Chubak Jessica12ORCID,Burnett-Hartman Andrea N.34ORCID,Barlow William E.5ORCID,Corley Douglas A.6ORCID,Croswell Jennifer M.7ORCID,Neslund-Dudas Christine8ORCID,Vachani Anil9ORCID,Silver Michelle I.10ORCID,Tiro Jasmin A.1112ORCID,Kamineni Aruna1ORCID

Affiliation:

1. 1Kaiser Permanente Washington Health Research Institute, Seattle, Washington.

2. 2Department of Epidemiology, University of Washington, Seattle, Washington.

3. 3Kaiser Permanente Colorado Institute for Health Research, Aurora, Colorado.

4. 4Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.

5. 5Cancer Research and Biostatistics, Seattle, Washington.

6. 6Kaiser Permanente Northern California, Oakland, California.

7. 7National Cancer Institute, Bethesda, Maryland.

8. 8Department of Public Health Sciences and Henry Ford Cancer Institute, Henry Ford Health System, Detroit, Michigan.

9. 9Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

10. 10Division of Public Health Sciences, Washington University School of Medicine, St. Louis, Missouri.

11. 11Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas.

12. 12Simmons Comprehensive Cancer Center, Dallas, Texas.

Abstract

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.

Publisher

American Association for Cancer Research (AACR)

Subject

Oncology,Epidemiology

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