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Use of Prolonged Travel to Improve Pediatric Risk‐Adjustment Models
Author(s) -
Lorch Scott A.,
Silber Jeffrey H.,
EvenShoshan Orit,
Millman Andrea
Publication year - 2009
Publication title -
health services research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.706
H-Index - 121
eISSN - 1475-6773
pISSN - 0017-9124
DOI - 10.1111/j.1475-6773.2008.00940.x
Subject(s) - medicine , regression analysis , cohort study , population , demography , emergency medicine , environmental health , statistics , mathematics , pathology , sociology
Objective. To determine whether travel variables could explain previously reported differences in lengths of stay (LOS), readmission, or death at children's hospitals versus other hospital types. Data Source. Hospital discharge data from Pennsylvania between 1996 and 1998. Study Design. A population cohort of children aged 1–17 years with one of 19 common pediatric conditions was created ( N =51,855). Regression models were constructed to determine difference for LOS, readmission, or death between children's hospitals and other types of hospitals after including five types of additional illness severity variables to a traditional risk‐adjustment model. Principal Findings. With the traditional risk‐adjustment model, children traveling longer to children's or rural hospitals had longer adjusted LOS and higher readmission rates. Inclusion of either a geocoded travel time variable or a nongeocoded travel distance variable provided the largest reduction in adjusted LOS, adjusted readmission rates, and adjusted mortality rates for children's hospitals and rural hospitals compared with other types of hospitals. Conclusions. Adding a travel variable to traditional severity adjustment models may improve the assessment of an individual hospital's pediatric care by reducing systematic differences between different types of hospitals.