Accuracy of ICD-9-CM Codes for Identifying Cardiovascular and Stroke Risk Factors
Tóm tắt
Từ khóa
Tài liệu tham khảo
DiSalvo, 2001, Pitfalls in assessing the quality of care for patients with cardiovascular disease., Am J Med, 111, 297, 10.1016/S0002-9343(01)00842-7
Hsia, 1988, Accuracy of diagnostic coding for Medicare patients under the prospective-payment system., N Engl J Med, 318, 352, 10.1056/NEJM198802113180604
Hsia, 1992, Medicare reimbursement accuracy under the prospective payment system, 1985 to 1988., JAMA, 268, 896, 10.1001/jama.1992.03490070078046
Iezzoni, 1992, Comorbidities, complications, and coding bias. Does the number of diagnosis codes matter in predicting in-hospital mortality?, JAMA, 267, 2197, 10.1001/jama.267.16.2197
Goldstein, 1998, Accuracy of ICD-9-CM-CM coding for the identification of patients with acute ischemic stroke: effect of modifier codes., Stroke, 29, 1602, 10.1161/01.STR.29.8.1602
Petersen, 1999, Positive predictive value of the diagnosis of acute myocardial infarction in an administrative database., J Gen Intern Med, 14, 555, 10.1046/j.1525-1497.1999.10198.x
Humphries, 2000, Co-morbidity data in outcomes research: are clinical data derived from administrative databases a reliable alternative to chart review?, J Clin Epidemiol, 53, 343, 10.1016/S0895-4356(99)00188-2
Szeto, 2002, Accuracy of computerized outpatient diagnoses in a Veterans Affairs general medicine clinic., Am J Manage Care, 8, 37
Fisher, 1992, The accuracy of Medicare's hospital claims data: progress has been made, but problems remain., Am J Public Health, 82, 243, 10.2105/AJPH.82.2.243
Deyo, 1992, Adapting a clinical comorbidity index for use with ICD-9-CM-CM administrative databases., J Clin Epidemiol, 45, 613, 10.1016/0895-4356(92)90133-8
Elixhauser, 1998, Comorbidity measures for use with administrative data., Med Care, 36, 8, 10.1097/00005650-199801000-00004
Romano, 1994, A comparison of administrative versus clinical data: coronary artery bypass surgery as an example., J Clin Epidemiol, 47, 249, 10.1016/0895-4356(94)90006-X
Ellekjaer, 1999, Identification of incident stroke in Norway: hospital discharge data compared with a population-based stroke register., Stroke, 30, 56, 10.1161/01.STR.30.1.56
Tanne, 1998, Risk profile and prediction of long-term ischemic stroke mortality: a 21-year follow-up in the Israeli Ischemic Heart Disease (IIHD) Project., Circulation, 98, 1365, 10.1161/01.CIR.98.14.1365
White, 1998, Length of hospital stay for treatment of deep venous thrombosis and the incidence of recurrent thromboembolism., Arch Intern Med, 158, 1005, 10.1001/archinte.158.9.1005
Goff, 2000, Congestive heart failure in the United States: is there more than meets the I(CD code)? The Corpus Christi Heart Project., Arch Intern Med, 160, 197, 10.1001/archinte.160.2.197
Bernstein, 2001, The incidence of deep venous thrombosis and pulmonary embolism among patients with inflammatory bowel disease: a population-based cohort study., Thromb Haemost, 85, 430, 10.1055/s-0037-1615600
Tirschwell, 2002, Validating administrative data in stroke research., Stroke, 33, 2465, 10.1161/01.STR.0000032240.28636.BD
Park, 2002, Decline in mortality of coronary heart disease among whites and blacks in Wisconsin 1979–1998., WMJ, 101, 23
Jaeschke, 1994, Users' guides to the medical literature. III. How to use an article about a diagnostic test. A. Are the results of the study valid? Evidence-Based Medicine Working Group., JAMA, 271, 389, 10.1001/jama.1994.03510290071040
Fleiss, 1981, Statistical Methods for Rates and Proportions. 2nd ed.
Simel, 1991, Likelihood ratios with confidence: sample size estimation for diagnostic test studies., J Clin Epidemiol, 44, 763, 10.1016/0895-4356(91)90128-V
Efron, 1993, An Introduction to the Bootstrap. 57 vol.
2002, SAS Analytical Software. 9.0 ed.
Rothman, 1998, Modern Epidemiology. 2nd ed.
MacIntyre, 1997, Accuracy of injury coding in Victorian hospital morbidity data., Aust N Z J Public Health, 21, 779, 10.1111/j.1467-842X.1997.tb01738.x
Sox, 1988, Medical Decision Making.