Margarita L Zuley1, Robert M Nishikawa2, Cindy S Lee3, Elizabeth Burnside4, Robert Rosenberg5, Edward A Sickles6, Wendie Berg7, Jessica Leung8, Jennifer Harvey9, Debapriya Sengupta10, David Gur2. 1. Department of Radiology, Division of Breast Imaging, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania. Electronic address: zuleyml@upmc.edu. 2. Department of Radiology, Imaging Research Division, University of Pittsburgh, Pittsburgh, Pennsylvania. 3. Department of Radiology, New York University Langone Health, Garden City, New York. 4. Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin. 5. Radiology Associates of Albuquerque PA, Albuquerque, New Mexico. 6. Department of Radiology and Biomedical Imaging, University of California, San Francisco, California. 7. Department of Radiology, Division of Breast Imaging, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania. 8. Diagnostic Radiology Department, The University of Texas MD Anderson Cancer Center, Houston, Texas. 9. Department of Radiology, University of Virginia Health System, Charlottesville, Virginia. 10. Quality and Safety, American College of Radiology, Reston, Virginia.
Abstract
PURPOSE: The National Mammography Database (NMD) contains nearly 20 million examinations from 693 facilities; it is the largest information source for use and effectiveness of breast imaging in the United States. NMD collects demographic, imaging, interpretation, biopsy, and basic pathology results, enabling facility and physician comparison for quality improvement. However, NMD lacks treatment and clinical outcomes data. The network of state cancer registries (CRs) contains detailed pathologic, treatment, and clinical outcomes data. This pilot study assessed electronic linkage of NMD and CR data at a multicenter institution as proof of concept. MATERIALS AND METHODS: We obtained Quality Oversight Committee approval for this retrospective study. Data of patients diagnosed with breast cancer in 2014 and 2015 were retrieved from our NMD-approved radiology information system (RIS) and matched with reportable patients in our CR using social security number (SSN), first name (fname), last name (lname), and date of birth (DOB). Matching was repeated without SSN. Percentage and reasons for mismatch were evaluated. RESULTS: The RIS query identified 1,316 patients. CR linkage was 99.2% successful (n = 1,305 of 1,316) using SSN, fname, lname, and DOB. Eleven mismatches included four CR case-finding failures, one NMD fname error, five nonreportable in the CR, and one with correct identifiers in both databases. Without SSN, linkage was 97.3% successful (n = 1,281 of 1,316); name errors accounted for 19 and DOB accounted for 5 additional mismatches. CONCLUSION: Using common data elements, linkage between the NMD and state CRs may be feasible and could provide critical outcomes information to advance accurate assessment of breast imaging in the United States.
PURPOSE: The National Mammography Database (NMD) contains nearly 20 million examinations from 693 facilities; it is the largest information source for use and effectiveness of breast imaging in the United States. NMD collects demographic, imaging, interpretation, biopsy, and basic pathology results, enabling facility and physician comparison for quality improvement. However, NMD lacks treatment and clinical outcomes data. The network of state cancer registries (CRs) contains detailed pathologic, treatment, and clinical outcomes data. This pilot study assessed electronic linkage of NMD and CR data at a multicenter institution as proof of concept. MATERIALS AND METHODS: We obtained Quality Oversight Committee approval for this retrospective study. Data of patients diagnosed with breast cancer in 2014 and 2015 were retrieved from our NMD-approved radiology information system (RIS) and matched with reportable patients in our CR using social security number (SSN), first name (fname), last name (lname), and date of birth (DOB). Matching was repeated without SSN. Percentage and reasons for mismatch were evaluated. RESULTS: The RIS query identified 1,316 patients. CR linkage was 99.2% successful (n = 1,305 of 1,316) using SSN, fname, lname, and DOB. Eleven mismatches included four CR case-finding failures, one NMD fname error, five nonreportable in the CR, and one with correct identifiers in both databases. Without SSN, linkage was 97.3% successful (n = 1,281 of 1,316); name errors accounted for 19 and DOB accounted for 5 additional mismatches. CONCLUSION: Using common data elements, linkage between the NMD and state CRs may be feasible and could provide critical outcomes information to advance accurate assessment of breast imaging in the United States.
Authors: Jeanne S Mandelblatt; Natasha K Stout; Clyde B Schechter; Jeroen J van den Broek; Diana L Miglioretti; Martin Krapcho; Amy Trentham-Dietz; Diego Munoz; Sandra J Lee; Donald A Berry; Nicolien T van Ravesteyn; Oguzhan Alagoz; Karla Kerlikowske; Anna N A Tosteson; Aimee M Near; Amanda Hoeffken; Yaojen Chang; Eveline A Heijnsdijk; Gary Chisholm; Xuelin Huang; Hui Huang; Mehmet Ali Ergun; Ronald Gangnon; Brian L Sprague; Sylvia Plevritis; Eric Feuer; Harry J de Koning; Kathleen A Cronin Journal: Ann Intern Med Date: 2016-01-12 Impact factor: 25.391
Authors: Cindy S Lee; Mythreyi Bhargavan-Chatfield; Elizabeth S Burnside; Paul Nagy; Edward A Sickles Journal: AJR Am J Roentgenol Date: 2016-02-11 Impact factor: 3.959
Authors: R Ballard-Barbash; S H Taplin; B C Yankaskas; V L Ernster; R D Rosenberg; P A Carney; W E Barlow; B M Geller; K Kerlikowske; B K Edwards; C F Lynch; N Urban; C A Chrvala; C R Key; S P Poplack; J K Worden; L G Kessler Journal: AJR Am J Roentgenol Date: 1997-10 Impact factor: 3.959
Authors: Ali H Mokdad; Laura Dwyer-Lindgren; Christina Fitzmaurice; Rebecca W Stubbs; Amelia Bertozzi-Villa; Chloe Morozoff; Raghid Charara; Christine Allen; Mohsen Naghavi; Christopher J L Murray Journal: JAMA Date: 2017-01-24 Impact factor: 56.272
Authors: Jeanne S Mandelblatt; Kathleen A Cronin; Stephanie Bailey; Donald A Berry; Harry J de Koning; Gerrit Draisma; Hui Huang; Sandra J Lee; Mark Munsell; Sylvia K Plevritis; Peter Ravdin; Clyde B Schechter; Bronislava Sigal; Michael A Stoto; Natasha K Stout; Nicolien T van Ravesteyn; John Venier; Marvin Zelen; Eric J Feuer Journal: Ann Intern Med Date: 2009-11-17 Impact factor: 25.391
Authors: Natasha K Stout; Sandra J Lee; Clyde B Schechter; Karla Kerlikowske; Oguzhan Alagoz; Donald Berry; Diana S M Buist; Mucahit Cevik; Gary Chisholm; Harry J de Koning; Hui Huang; Rebecca A Hubbard; Diana L Miglioretti; Mark F Munsell; Amy Trentham-Dietz; Nicolien T van Ravesteyn; Anna N A Tosteson; Jeanne S Mandelblatt Journal: J Natl Cancer Inst Date: 2014-05-28 Impact factor: 13.506