title: Institutional charges and disparities in outpatient brain biopsies in four US States: the State Ambulatory Database (SASD).
abstract: Several groups have demonstrated the safety of ambulatory brain biopsies, with no patients experiencing complications related to early discharge. Although they appear to be safe, the reasons factoring into the selection of patients have not been investigated. We performed a cross-sectional study involving 504 patients who underwent outpatient and 10,328 patients who underwent inpatient brain biopsies and were registered in State Ambulatory Surgery Databases and State Inpatient Databases respectively for four US States (New York, California, Florida, North Carolina). In a multivariate analysis private insurance (OR 2.45, 95 % CI, 1.85, 3.24), was significantly associated with outpatient procedures. Higher Charlson Comorbidity Index (OR 0.16, 95 % CI, 0.08, 0.32), high income (OR 0.37, 95 % CI, 0.26, 0.53), and high volume hospitals (OR 0.30, 95 % CI, 0.23, 0.39) were associated with a decreased chance of outpatient procedures. No sex, or racial disparities were observed. Institutional charges were significantly less for outpatient brain biopsies. There was no difference in the rate of 30-day postoperative readmissions among inpatient and outpatient procedures. The median charge for inpatient surgery was 51,316 as compared to 12,266 for the outpatient setting (P < 0.0001, Student's t test). Access to ambulatory brain biopsies appears to be more common for patients with private insurance and less comorbidities, in the setting of lower volume hospitals. Further investigation is needed in the direction of mapping these disparities in resource utilization.
authors: Kimon
authors: K
authors: Bekelis
authors: Symeon
authors: S
authors: Missios
authors: David W
authors: DW
authors: Roberts
mesh_terms: D000556:Ambulatory Surgical Procedures; D001706:Biopsy; D001927:Brain Diseases / Q000473:pathology* / Q000601:surgery*; D015331:Cohort Studies; D003430:Cross-Sectional Studies; D016208:Databases, Factual; D005006:Ethnicity; D005260:Female; D006296:Health Services / Q000706:statistics & numerical data; D054625:Healthcare Disparities / Q000706:statistics & numerical data*; D017722:Hospital Charges / Q000706:statistics & numerical data*; D006801:Humans; D007297:Inpatients / Q000706:statistics & numerical data; D007348:Insurance, Health / Q000706:statistics & numerical data; D008297:Male; D008875:Middle Aged; D010045:Outpatients / Q000706:statistics & numerical data*; D010359:Patient Readmission; D018579:Patient Selection; D011183:Postoperative Complications; D011379:Prognosis; D013221:State Health Plans / Q000706:statistics & numerical data; D014481:United States
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