{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T11:27:35Z","timestamp":1761823655836,"version":"3.37.3"},"reference-count":16,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2014,6,28]],"date-time":"2014-06-28T00:00:00Z","timestamp":1403913600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Health Services Research"],"published-print":{"date-parts":[[2015,2]]},"abstract":"<jats:sec><jats:title>Objective<\/jats:title><jats:p>To develop and validate Medicare claims\u2010based approaches for identifying abnormal screening mammography interpretation.<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Sources<\/jats:title><jats:p>Mammography data and linked Medicare claims for 387,709 mammograms performed from 1999 to 2005 within the Breast Cancer Surveillance Consortium (<jats:styled-content style=\"fixed-case\">BCSC<\/jats:styled-content>).<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Design<\/jats:title><jats:p>Split\u2010sample validation of algorithms based on claims for breast imaging or biopsy following screening mammography.<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Extraction Methods<\/jats:title><jats:p>Medicare claims and <jats:styled-content style=\"fixed-case\">BCSC<\/jats:styled-content> mammography data were pooled at a central Statistical Coordinating Center.<\/jats:p><\/jats:sec><jats:sec><jats:title>Principal Findings<\/jats:title><jats:p>Presence of claims for subsequent imaging or biopsy had sensitivity of 74.9 percent (95 percent confidence interval [<jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>], 74.1\u201375.6) and specificity of 99.4 percent (95 percent <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>, 99.4\u201399.5). A classification and regression tree improved sensitivity to 82.5 percent (95 percent <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>, 81.9\u201383.2) but decreased specificity (96.6 percent, 95 percent <jats:styled-content style=\"fixed-case\">CI<\/jats:styled-content>, 96.6\u201396.8).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Medicare claims may be a feasible data source for research or quality improvement efforts addressing high rates of abnormal screening mammography.<\/jats:p><\/jats:sec>","DOI":"10.1111\/1475-6773.12194","type":"journal-article","created":{"date-parts":[[2014,6,28]],"date-time":"2014-06-28T06:41:14Z","timestamp":1403937674000},"page":"290-304","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Identification of Abnormal Screening Mammogram Interpretation Using Medicare Claims Data"],"prefix":"10.1111","volume":"50","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0879-0994","authenticated-orcid":false,"given":"Rebecca A.","family":"Hubbard","sequence":"first","affiliation":[{"name":"Group Health Research Institute and Department of Biostatistics University of Washington 1730 Minor Ave, Suite 1600 Seattle WA 98101"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiwei","family":"Zhu","sequence":"additional","affiliation":[{"name":"Group Health Research Institute and Department of Biostatistics University of Washington 1730 Minor Ave, Suite 1600 Seattle WA 98101"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steven","family":"Balch","sequence":"additional","affiliation":[{"name":"Group Health Research Institute and Department of Biostatistics University of Washington 1730 Minor Ave, Suite 1600 Seattle WA 98101"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tracy","family":"Onega","sequence":"additional","affiliation":[{"name":"Department of Community and Family Medicine Norris Cotton Cancer Center Dartmouth Medical School Lebanon NH"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joshua J.","family":"Fenton","sequence":"additional","affiliation":[{"name":"Center for Healthcare Policy and Research UC Davis Comprehensive Cancer Center Sacramento CA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2014,6,28]]},"reference":[{"volume-title":"Breast Imaging Reporting and Data System (BI\u2010RADS) Breast Imaging Atlas","year":"2003","author":"American College of Radiology","key":"e_1_2_7_2_1"},{"volume-title":"Classification and Regression Trees","year":"1984","author":"Breiman L.","key":"e_1_2_7_3_1"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.10091636"},{"key":"e_1_2_7_5_1","unstructured":"Centers for Medicare and Medicaid Services.2014. \u201cHospital Outpatient Quality Reporting (OQR) Program Overview\u201d [accessed on February 13 2014]. 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