Ontology highlight
ABSTRACT: Objective
To analyze the associations between Axis II (A2) disorders and two measures of health care utilization with relatively high cost: emergency department (ED) episodes and hospital admissions.Data source/study setting
Wave I (2001/2002) and Wave II (2004/2005) of the National Longitudinal Survey on Alcohol and Related Conditions (NESARC).Study design
A national probability sample of adults. Gender-stratified regression analysis adjusted for a range of covariates associated with health care utilization.Data collection
The target population of the NESARC is the civilian noninstitutionalized population aged 18 years and older residing in the United States. The cumulative survey response rate is 70.2 percent with a response rate of 81 percent (N=43,093) in Wave I and 86.7 percent (N=34,653) in Wave II.Principal findings
Both men and women with A2 disorders are at elevated risk for ED episodes and hospital admissions. Associations are robust after adjusting for a rich set of confounding factors, including Axis I (clinical) psychiatric disorders. We find evidence of a dose-response relationship, while antisocial and borderline disorders exhibit the strongest associations with both measures of health care utilization.Conclusions
This study provides the first published estimates of the associations between A2 disorders and high-cost health care utilization in a large, nationally representative survey. The findings underscore the potential implications of these disorders on health care expenditures.
SUBMITTER: Maclean JC
PROVIDER: S-EPMC3976193 | biostudies-literature | 2014 Apr
REPOSITORIES: biostudies-literature
Health services research 20131003 2
<h4>Objective</h4>To analyze the associations between Axis II (A2) disorders and two measures of health care utilization with relatively high cost: emergency department (ED) episodes and hospital admissions.<h4>Data source/study setting</h4>Wave I (2001/2002) and Wave II (2004/2005) of the National Longitudinal Survey on Alcohol and Related Conditions (NESARC).<h4>Study design</h4>A national probability sample of adults. Gender-stratified regression analysis adjusted for a range of covariates as ...[more]