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Neurosurgery ; 52(5): 1056-63; discussion 1063-5, 2003 May.
Article in English | MEDLINE | ID: mdl-12699547

ABSTRACT

OBJECTIVE: Improved clinical and economic outcomes for high-risk surgical procedures have been previously cited in support of regionalization. The goal of this study was to examine the effects of regionalization by analyzing the cost and outcome of craniotomy for tumors and to compare the findings in academic medical centers versus community-based hospitals. METHODS: Outcomes and charges were analyzed for all adult patients undergoing craniotomy for tumor in 33 nonfederal acute care hospitals in Maryland using the Maryland Health Service Cost Review Commission database for the years 1990 to 1996. A total of 4723 patients who underwent craniotomy for tumor were selected on the basis of Diagnostic Related Group 1 (craniotomy except for trauma, age 18 or older) and International Classification of Diseases-9th Revision diagnosis code for benign tumor, primary malignant neoplasm, or secondary malignant neoplasm (codes 191, 192, 194, 200, 225, 227, 228, 237, and 239). Hospitals were categorized as high-volume hospitals (>50 craniotomies/yr) or low-volume hospitals (

Subject(s)
Academic Medical Centers/economics , Academic Medical Centers/statistics & numerical data , Brain Neoplasms/economics , Brain Neoplasms/surgery , Craniotomy/economics , Craniotomy/statistics & numerical data , Hospital Charges/statistics & numerical data , Outcome Assessment, Health Care/economics , Outcome Assessment, Health Care/statistics & numerical data , Referral and Consultation/economics , Referral and Consultation/statistics & numerical data , Regional Medical Programs/economics , Regional Medical Programs/statistics & numerical data , Adult , Aged , Brain Neoplasms/mortality , Craniotomy/mortality , Female , Hospital Bed Capacity/economics , Hospital Bed Capacity/statistics & numerical data , Hospital Mortality , Humans , Length of Stay/economics , Length of Stay/statistics & numerical data , Male , Maryland , Middle Aged , Retrospective Studies , Workload/economics , Workload/statistics & numerical data
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