title: Trends and outcomes in the hospitalization of older Americans for cardiac conduction disorders or arrhythmias, 1991-1998.
abstract: OBJECTIVE
  To identify epidemiological trends and measure outcomes in elderly patients hospitalized for cardiac conduction disorders or arrhythmias.
  
  
  METHODS
  Review of the standard 5% samples of the Medicare Provider Analysis and Review Files to characterize 144,512 discharges from 1991 through 1998 in which the principal diagnosis was a conduction disorder or arrhythmia, using the corresponding Enrollment Databases for denominator data.
  
  
  METHODS
  Short-stay hospitals in the United States.
  
  
  METHODS
  Medicare beneficiaries age 65 and older in the standard 5% sample.
  
  
  METHODS
  Diagnosis-specific trends and rates; discharges by year; cumulative age-, race-, and sex-specific discharge rates; mean length of stay in hospital and in intensive care; mean Medicare reimbursement to the hospital; case-fatality rate in hospital; discharge destinations of patients discharged alive.
  
  
  RESULTS
  Annual hospitalizations for sinoatrial node dysfunction, atrial flutter, atrial fibrillation, or ventricular fibrillation increased more rapidly than did the elderly Medicare beneficiary population. Hospitalizations with a principal diagnosis of ventricular extrasystoles or asystole showed steep secular declines. Discharge rates for sinoatrial node dysfunction, a group of rhythms with a nonsinus pacemaker, atrial fibrillation, Mobitz I, or complete atrioventricular block all increased steeply and continuously with patient age. In contrast, discharge rates for atrial flutter or ventricular tachycardia or fibrillation peaked among 75- to 84-year-old patients. White men were at uniquely high risk of hospitalization for atrial flutter or ventricular tachycardia or fibrillation, and, among the white majority, men had higher discharge rates than women for nine of the 11 commonest rubrics. Whites, particularly white women, had the highest discharge rates for atrial fibrillation. Blacks, especially black women, were at disproportionate risk for hospitalization for the group of nonsinus pacemaker rhythms. Diagnosis-specific mean resource costs were strongly correlated with each other and with mean Medicare reimbursement but not with case-fatality rate.
  
  
  CONCLUSIONS
  Medicare claims data demonstrated striking differences among and within diagnoses of heart blocks or arrhythmias in terms of the populations at greatest risk for hospitalization. This variation should be explored further to generate and test hypotheses about differential causation or delivery of care.
authors.affiliation: Center for Outcomes and Effectiveness Research and Center for Cost and Financing Studies, Agency for Healthcare Research and Quality, Department of Health and Human Services, Rockville, Maryland, USA.
authors.forename: W B
authors.initials: WB
authors.lastname: Baine
authors.forename: W
authors.initials: W
authors.lastname: Yu
authors.forename: K A
authors.initials: KA
authors.lastname: Weis
mesh_terms: D001741:Black or African American / Q000706:statistics & numerical data; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D001145:Arrhythmias, Cardiac / Q000175:diagnosis / Q000453:epidemiology* / Q000209:etiology; D014487:Centers for Medicare and Medicaid Services, U.S.; D005260:Female; D006302:Health Services Research; D017052:Hospital Mortality; D006760:Hospitalization / Q000706:statistics & numerical data* / Q000639:trends; D006801:Humans; D015994:Incidence; D007344:Insurance Claim Reporting / Q000706:statistics & numerical data / Q000639:trends; D007902:Length of Stay / Q000706:statistics & numerical data / Q000639:trends; D008297:Male; D016344:Medicare Part A / Q000706:statistics & numerical data / Q000639:trends; D011159:Population Surveillance; D011379:Prognosis; D012051:Reimbursement Mechanisms / Q000706:statistics & numerical data / Q000639:trends; D012307:Risk Factors; D017678:Sex Distribution; D016019:Survival Analysis; D016896:Treatment Outcome; D014481:United States / Q000453:epidemiology; D044465:White People / Q000706:statistics & numerical data