title: Illness severity and propensity to travel along the urban-rural continuum.
abstract: In this paper, we examine whether the relationship between severity of illness and the propensity to travel greater distance relative to the norm (defined by peers in one's county of residence) is uniform across the urban-rural continuum of geography or over time. We focus on the elderly in New York State who have been admitted to hospital for ambulatory care sensitive conditions (ACSCs), admissions which are presumed to be representative of usual travel patterns. The two periods of time examined span the implementation of the Balanced Budget Act (BBA) of 1997, which established the Medicare Rural Hospital Flexibility Program, a major national initiative to strengthen rural health care with the development of rural Critical Access Hospitals (CAHs). As the number of NY rural hospitals certified as CAH increased with the expanded funding from the BBA, one might expect to see increased distance traveled by more severely ill rural elderly, as their CAHs referred them to their affiliated support hospitals. The logistic regression estimates support this expectation, highlighting an asymmetrical relationship between relative distance and severity across patients in rural and urban areas. Despite a general decline in average propensity to travel further than the norm across the landscape, severity had a larger impact on travel propensity in rural areas, which increased over time.
authors.affiliation: Agency for Healthcare Research and Quality, 540 Gaither Road, Rockville, MD 20850, USA. Jbasu@ahrq.gov
authors.forename: Jayasree
authors.initials: J
authors.lastname: Basu
authors.forename: Lee R
authors.initials: LR
authors.lastname: Mobley
mesh_terms: D000368:Aged; D000554:Ambulatory Care Facilities / Q000706:statistics & numerical data*; D019538:Health Care Surveys; D006801:Humans; D009518:New York; D019035:Rural Health Services / Q000706:statistics & numerical data*; D012720:Severity of Illness Index; D014195:Travel; D019037:Urban Health Services / Q000706:statistics & numerical data*