Validation of diagnoses of peptic ulcers and bleeding from administrative databases: A multi-health maintenance organization study

被引:49
作者
Andrade, SE
Gurwitz, JH
Chan, KA
Donahue, JG
Beck, A
Boles, M
Buist, DSM
Goodman, M
LaCroix, AZ
Levin, TR
Platt, R
机构
[1] Fallon Healthcare Syst, Meyers Primary Care Inst, Worcester, MA 01605 USA
[2] Univ Massachusetts, Sch Med, Worcester, MA 01605 USA
[3] Univ Rhode Isl, Dept Appl Pharmaceut Sci, Kingston, RI 02881 USA
[4] Brigham & Womens Hosp, Channing Lab, Boston, MA 02115 USA
[5] Harvard Univ, Sch Med, Dept Ambulatory Care & Prevent, Boston, MA USA
[6] Harvard Univ, Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA
[7] Harvard Pilgrim Hlth Care, Boston, MA USA
[8] Kaiser Permanente Colorado, Denver, CO USA
[9] Kaiser Permanente NW, Portland, OR USA
[10] Grp Hlth Cooperat Puget Sound, Seattle, WA 98121 USA
[11] HealthPartners Res Fdn, Minneapolis, MN USA
[12] Kaiser Permanente Div Res, Oakland, CA USA
关键词
positive predictive value; peptic ulcer; automated databases;
D O I
10.1016/S0895-4356(01)00480-2
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
The automated health plan data and data from medical chart abstractions from eight large health maintenance organizations were used to evaluate the positive predictive values (PPVs) of the International Classification of Diseases, 9(th) revision (ICD-9) codes for cases of peptic ulcers and upper gastrointestinal bleeding. Overall, 207 of 884 cases of peptic ulcers and upper gastrointestinal bleeding (23%) were confirmed by surgery, endoscopy, X-ray, or autopsy. The PPVs were 66% for hospitalizations with codes for duodenal ulcer (ICD-9-CM 532), 61% for gastric/gastrojejunal ulcer (ICD-9-CM 531, 534). 1% for peptic ulcer (ICD-9-CM 533), and 9% for gastrointestinal hemorrhage (ICD-9-CM578). The overall and diagnostic category-specific PPVs were generally similar for the various HMOs. This study, using data from a large number of health plans located in different geographical regions, underscores the importance of evaluating the accuracy of the diagnoses from automated health plan databases. (C) 2002 Elsevier Science Inc. All rights reserved.
引用
收藏
页码:310 / 313
页数:4
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