| Ascertainment of colonoscopy indication using administrative data. | |
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MedLine Citation:
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PMID: 20393875 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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BACKGROUND: Administrative procedure code data can estimate colonoscopy utilization; however, determining colonoscopy indication is more difficult as procedure codes do not inherently reflect the purpose (screening, surveillance, diagnosis) of the colonoscopy. AIM: To improve the reported sensitivity (70%) and specificity (72%) of a published algorithm for identifying screening colonoscopies using Veterans Health Administration (VHA) administrative data. METHODS: We validated three algorithms for determining colonoscopy indication using medical records as the gold standard in a national sample of 650 patients. Algorithms used International Classification of Diseases, 9th Revision (ICD-9) and Current Procedural Terminology (CPT) codes. Medical records were manually abstracted using standardized protocols. RESULTS: The best algorithm had 83% sensitivity and 76% specificity for screening indication. Over 99% of colonoscopy CPT codes corresponded to a colonoscopy in the medical record. CONCLUSIONS: VHA procedure codes are very accurate for colonoscopy utilization; however, algorithms to ascertain indication have only moderate accuracy. |
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Authors:
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Deborah A Fisher; Janet M Grubber; John M Castor; Cynthia J Coffman |
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Publication Detail:
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Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Validation Studies |
Journal Detail:
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Title: Digestive diseases and sciences Volume: 55 ISSN: 1573-2568 ISO Abbreviation: Dig. Dis. Sci. Publication Date: 2010 Jun |
Date Detail:
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Created Date: 2010-06-11 Completed Date: 2010-07-07 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7902782 Medline TA: Dig Dis Sci Country: United States |
Other Details:
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Languages: eng Pagination: 1721-5 Citation Subset: AIM; IM |
Affiliation:
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Center for Health Services Research in Primary Care, Durham Veterans Affairs Medical Center, Durham, NC, USA. fishe034@mc.duke.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Aged Aged, 80 and over Algorithms Colonoscopy / statistics & numerical data*, utilization Current Procedural Terminology Data Mining* Databases as Topic Electronic Health Records Female Health Services Research Humans International Classification of Diseases Male Mass Screening / methods, statistics & numerical data*, utilization Middle Aged Patient Selection* Predictive Value of Tests Reproducibility of Results Time Factors United States United States Department of Veterans Affairs / statistics & numerical data* |
| Comments/Corrections | |
Comment In:
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Dig Dis Sci. 2010 Jun;55(6):1506-8
[PMID:
20428943
]
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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