title: A comparison of in-house and regionalized computerized tomography scanning: clinical impact and cost.
abstract: Over a two-year interval, computerized tomography (CT) scans at an urban, 400-bed Department of Veterans Affairs medical center (VAMC) were obtained in three ways. First, an in-house low-efficiency machine was used. Then, scans were done at another area hospital, in effect duplicating some aspects of regionalizing services. Finally, a high-efficiency in-house machine was used. Clinical outcomes and costs of diagnosing 181 bronchogenic cancer patients were compared across the three time periods to identify any differences associated with regionalization of CT services. Patient groups were homogeneous with respect to sociodemographic characteristics, clinical presentation, and severity of disease. The first part of the analysis investigated whether the site of CT scanning affected clinical outcomes. Diagnostic procedures, surgical results, mortality, and length of stay were compared using one-way analysis of variance. Significant differences were found only for conventional tomography and CT utilization rates. While conventional tomography declined across the periods, CT utilization increased, exceeding national trends. The second part of the analysis examined the costs of CT scanning. During the regionalized period, the hospital paid a fixed fee of $519 per scan. Estimated costs of in-house scans were $285 in the low-efficiency and $141 in the high-efficiency periods. Charge-based payments made to the external facility and differences in the volumes of patients scanned internally account for the cost differences. The analysis showed that while regionalized CT scanning did not compromise the quality of care for these VA patients, it was more costly. Results suggest that VA hospital administrators should carefully consider ownership and payment arrangements when comparing regionalized and in-house provision of services.
authors.affiliation: Battelle Memorial Institute, Washington, DC 20024.
authors.forename: A
authors.initials: A
authors.lastname: Elixhauser
authors.forename: D M
authors.initials: DM
authors.lastname: Reker
authors.forename: K N
authors.initials: KN
authors.lastname: Gillespie
authors.forename: J
authors.initials: J
authors.lastname: Fletcher
authors.forename: F D
authors.initials: FD
authors.lastname: Wolinsky
mesh_terms: D000368:Aged; D003362:Cost-Benefit Analysis; D004526:Efficiency; D006745:Hospital Bed Capacity, 300 to 499; D006787:Hospitals, Veterans / Q000191:economics / Q000592:standards*; D006801:Humans; D007902:Length of Stay; D008875:Middle Aged; D008923:Missouri; D009369:Neoplasms / Q000000981:diagnostic imaging / Q000401:mortality; D010043:Outcome and Process Assessment, Health Care; D011787:Quality of Health Care; D014057:Tomography, X-Ray Computed / Q000191:economics* / Q000706:statistics & numerical data; D014481:United States; D014493:United States Department of Veterans Affairs