Using Claims Data to Examine Mortality Trends Following Hospitalization for Heart Attack in Medicare

Health Services Research

Volumn 38, Issue 5, 2003, Pages 1253-1262

  Ash, Arlene S ^a   Posner, Michael A ^c   Speckman, Jeanne ^c   Franco, Shakira ^a   Yacht, Andrew C ^b   Bramwell, Lindsey ^c  

^a BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b MAIMONIDES MEDICAL CENTER   (United States)

^c Maimonides Medical Center ^*

Author keywords

AMI; CCS; Charlson; DCG; Event centered database; Risk adjustment

Indexed keywords

ACCURACY; ADULT; AGE DISTRIBUTION; AGED; ARTICLE; CONTROLLED STUDY; DEMOGRAPHY; FEMALE; HEALTH CARE UTILIZATION; HEALTH STATISTICS; HEART INFARCTION; HOSPITAL ADMISSION; HOSPITAL DISCHARGE; HOSPITALIZATION; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MEDICARE; MORTALITY; PREDICTION; RISK ASSESSMENT; SEX DIFFERENCE; STATISTICAL ANALYSIS;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; FEMALE; HEALTH SERVICES RESEARCH; HOSPITALIZATION; HUMANS; INSURANCE CLAIM REVIEW; LOGISTIC MODELS; MALE; MEDICARE; MIDDLE AGED; MORTALITY; MYOCARDIAL INFARCTION; PREDICTIVE VALUE OF TESTS; UNITED STATES;

EID: 0142089273     PISSN: 00179124     EISSN: None     Source Type: Journal    
DOI: 10.1111/1475-6773.00175     Document Type: Article

References (8)

1. Ash, A. S., R. P. Ellis, G. C. Pope, J. Z. Ayanian, D. W. Bates, H. Burstin, L. I. Iezzoni, E. MacKay, and W. Yu. 2000. "Using Diagnoses to Describe Populations and Predict Costs." Health Care Financing Review 21 (3): 7-28.
2. Ash, A. S., M. A. Moskowitz, J. Speckman, S. Franco, C. Chaisson, M. Posner, K. Anderson, A. C. Yacht, and D. S. Caldwell. 2001. Risk Adjustment Models for Heart Failure. Report submitted to the Centers for Medicare and Medicaid Services under contract no: 500-96-0023, December Boston, MA: ResDAC and Boston University School of Medicine.
3. Ash, A. S., M. A. Posner, C. Chaisson, J. Speckman, S. Franco, A. C. Yacht, D. S. Caldwell, and M. A. Moskowitz. 2001. Risk Adjustment Models to Examine Mortality Trend. Report submitted to the Centers for Medicare and Medicaid Services under contract no. 500-96-0023, December. Boston, MA: ResDAC and Boston University School of Medicine.
4. Centers for Medicare and Medicaid Services. (n.d.). National Acute Myocardial Infarction project description, from the Medicare Quality Improvement Community web page [accessed on May 16, 2002]. Available at http://www. medqic.org/content/nationalpriorities/topics/projectdes.jsp?topicID=421.
5. Charlson, M. E., P. Pompei, K. L. Ales, and C. R. MacKenzie. 1987. "A New Method of Classifying Prognostic Comorbidity in Longitudinal Studies: Development and Validation." Journal of Chronic Disease 40 (5): 373-83.
6. Deyo, R. A., D. C. Cherkin, and M. A. Ciol. 1992. "Adapting a Clinical Comorbidity Index for Use with ICD-9-CM Administrative Databases. " Journal of Clinical Epidemiology 45 (6): 613-9.
7. Elixhauser, A., and E. M. McCarthy. 1996. Clinical Classifications for Health Policy Research, Version 2: Hospital Inpatient Statistics. Healthcare Cost and Utilization Project (HCUP-3) research note 1. AHCPR Pub. No. 96-0017. Rockville, MD: Agency for Health Care Policy and Research.
8. Pasternak, R. C., and E. Braunwald. 1994. "Acute Myocardial Infarction." In Harrison's Principals of Internal Medicine, (vol. 1), 13th ed, edited by K. J. Isselbacher, E. Braunwald, J. D. Wilson, J. B. Martin, A. S. Fauci, and D. L. Kasper, pp. 1066-76. New York: McGraw-Hill.