title: A re-examination of distance as a proxy for severity of illness and the implications for differences in utilization by race/ethnicity.
abstract: The study analyzes the hospitalization patterns of elderly residents to examine whether the relation between distant travel and severity of illness is uniform across racial/ethnic subgroups. A hypothesis is made that severity thresholds could be higher for minorities than whites. Hospital discharge data from the Healthcare Cost and Utilization Project (HCUP-SID) of the Agency for Health Care Research and Quality for New York residents is used, with a link to the Area Resource File and American Hospital Association's survey files. Logistic models compare the association of distant admission with severity corresponding to each local threshold level, race, and type of hospital admission. The study uses four discrete distance thresholds in contrast to recent work. Also, an examination of severity thresholds for distant travel for different types of admission may clarify different sources of disparities in health care utilization. The findings indicate that minorities are likely to have higher severity thresholds than whites in seeking distant hospital care, although these conclusions depend on the type of condition. The study results imply that if costly elective services were regionalized to get the advantages of high volume for both cost and quality of care, some extra effort at outreach may be desirable to reduce disparities in appropriate care. Published in 2006 by John Wiley & Sons, Ltd.
authors.affiliation: Agency for Healthcare Research and Quality, Rockville, USA. Jbasu@ahrq.gov
authors.forename: Jayasree
authors.initials: J
authors.lastname: Basu
authors.forename: Bernard
authors.initials: B
authors.lastname: Friedman
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D003625:Data Collection / Q000379:methods*; D005006:Ethnicity; D005260:Female; D006296:Health Services / Q000706:statistics & numerical data*; D006297:Health Services Accessibility / Q000706:statistics & numerical data; D006302:Health Services Research; D006801:Humans; D019458:Insurance Coverage / Q000706:statistics & numerical data; D007348:Insurance, Health / Q000706:statistics & numerical data; D008297:Male; D009518:New York; D012111:Residence Characteristics / Q000706:statistics & numerical data*; D012720:Severity of Illness Index