4.7 Article

Changes in hospitalization patterns among patients with congenital heart disease during the transition from adolescence to adulthood

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ELSEVIER SCIENCE INC
DOI: 10.1016/j.jacc.2006.09.051

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  1. AHRQ HHS [T32-HS00046] Funding Source: Medline
  2. NCRR NIH HHS [(1 K23 RR17041-01] Funding Source: Medline

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Objectives. This study was designed to evaluate hospitalization patterns of congenital heart disease (CHD) patients surrounding the transition from adolescence to adulthood. Background. Few population data exist on hospitalizations among adolescent and adult CHID patients. Methods. Patients ages 12 to 44 years with CHID were selected from the 2000 to 2003 California hospital discharge database. Patient demographics, hospitalization patterns, emergency department (ED) admissions, CHID complexity, and insurance patterns were described. Data were analyzed in 3-year age increments and compared between patients over and under age 21. Predictors of admission via the ED were determined using multivariate regression analysis. Results. There were 9,017 hospitalizations at 368 hospitals. For patients ages 12 to 20 years, 12 hospitals accounted for 70% of hospitalizations; for patients ages 21 to 44 years, 25 hospitals accounted for only 44.8% of cases. Regarding insurance, 53% of admissions were private, 44% public, and < 4% were self-pay. Sixty-five percent of patients had complex CHID and 19% had a cardiac procedure during hospitalization. The proportion of patients admitted via the ED nearly doubled surrounding the transition to adulthood. The positive predictors of admission via the ED included public insurance, self-pay, and age > 17 years, whereas having a procedure and being female decreased the likelihood. Conclusions. Congenital heart disease hospitalizations occur at a wide variety of hospitals and disperse as patients enter adulthood. Those without private insurance and > 17 years old are at higher risk of being admitted via the ED. These findings require further investigation to examine access to care and possible disparities, as they are important for future healthcare planning.

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