{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,17]],"date-time":"2026-10-17T03:28:58Z","timestamp":1792207738723,"version":"4.4.0"},"reference-count":6,"publisher":"Oxford University Press (OUP)","issue":"12","license":[{"start":{"date-parts":[[2023,4,12]],"date-time":"2023-04-12T00:00:00Z","timestamp":1681257600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/100000030","name":"Centers for Disease Control and Prevention","doi-asserted-by":"publisher","award":["U01-DP006369"],"award-info":[{"award-number":["U01-DP006369"]}],"id":[{"id":"10.13039\/100000030","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["P30-DK050306"],"award-info":[{"award-number":["P30-DK050306"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["UL1TR002489"],"award-info":[{"award-number":["UL1TR002489"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,12,5]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>To facilitate inflammatory bowel disease (IBD) research in the United States, we developed and validated claims-based definitions to identify incident and prevalent IBD diagnoses using administrative healthcare claims data among multiple payers.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We used data from Medicare, Medicaid, and the HealthCore Integrated Research Database (Anthem commercial and Medicare Advantage claims). The gold standard for validation was review of medical records. We evaluated 1 incidence and 4 prevalence algorithms based on a combination of International Classification of Diseases codes, National Drug Codes, and Current Procedural Terminology codes. The claims-based incident diagnosis date needed to be within \u00b190 days of that recorded in the medical record to be valid.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>We reviewed 111 charts of patients with a potentially incident diagnosis. The positive predictive value (PPV) of the claims algorithm was 91% (95% confidence interval [CI], 81%-97%). We reviewed 332 charts to validate prevalent case definition algorithms. The PPV was 94% (95% CI, 86%-98%) for \u22652 IBD diagnoses and presence of prescriptions for IBD medications, 92% (95% CI, 85%-97%) for \u22652 diagnoses without any medications, 78% (95% CI, 67%-87%) for a single diagnosis and presence of an IBD medication, and 35% (95% CI, 25%-46%) for 1 physician diagnosis and no IBD medications.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Through a combination of diagnosis, procedural, and medication codes in insurance claims data, we were able to identify incident and prevalent IBD cases with high accuracy. These algorithms can be useful for the ascertainment of IBD cases in future studies.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/ibd\/izad053","type":"journal-article","created":{"date-parts":[[2023,4,12]],"date-time":"2023-04-12T15:17:11Z","timestamp":1681312631000},"page":"1993-1996","source":"Crossref","is-referenced-by-count":32,"title":["Development and Validation of Claims-Based Definitions to Identify Incident and Prevalent Inflammatory Bowel Disease in Administrative Healthcare Databases"],"prefix":"10.1093","volume":"29","author":[{"given":"Ghadeer K","family":"Dawwas","sequence":"first","affiliation":[{"name":"Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania , Philadelphia, PA , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexandra","family":"Weiss","sequence":"additional","affiliation":[{"name":"Division of Gastroenterology and Hepatology, University of Pennsylvania , Philadelphia, PA , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brad D","family":"Constant","sequence":"additional","affiliation":[{"name":"Division of Gastroenterology, Hepatology, and Nutrition, Children\u2019s Hospital of Philadelphia , Philadelphia, PA , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lauren E","family":"Parlett","sequence":"additional","affiliation":[{"name":"Carelon Research , Wilmington, DE , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kevin","family":"Haynes","sequence":"additional","affiliation":[{"name":"Janssen Research and Development, LLC , Titusville, NJ , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeff Yufeng","family":"Yang","sequence":"additional","affiliation":[{"name":"Center for Pharmacoepidemiology, Department of Epidemiology, University of North Carolina at Chapel Hill , Chapel Hill, NC , 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