title: Three alternative structural configurations for phlebotomy: a comparison of effectiveness.
abstract: OBJECTIVE
  This study was designed to compare the effectiveness of three alternative structural configurations for inpatient phlebotomy. It was hypothesized that decentralized was less effective when compared to centralized inpatient phlebotomy.
  
  
  METHODS
  A non-experimental prospective survey design was conducted at the institution level. Laboratory managers completed an organizational survey and collected data on inpatient blood specimens during a 30-day data collection period.
  
  
  METHODS
  A random sample (n=31) of hospitals with onsite laboratories in the United States was selected from a database purchased from the Joint Commission on Accreditations of Healthcare Organizations (JCAHO).
  
  
  METHODS
  Effectiveness of the blood collection process was measured by the percentage of specimens rejected during the data collection period.
  
  
  RESULTS
  Analysis of variance showed a statistically significant difference in the percentage of specimens rejected for centralized, hybrid, and decentralized phlebotomy configurations [F (2, 28) = 4.27, p = .02] with an effect size of .23. Post-hoc comparison using Tukey's HSD indicated that mean percentage of specimens rejected for centralized phlebotomy (M = .045, SD = 0.36) was significantly different from the decentralized configuration (M = 1.42, SD = 0.92, p = .03). found to be more effective when compared to the decentralized configuration.
authors: Department of Medical Technology, University of Alaska Anchorage, AHS 172, 3211 Providence Drive, Anchorage, AK 99508, USA. afham@uaa.alaska.edu
authors: Heidi
authors: H
authors: Mannion
authors: Teresa
authors: T
authors: Nadder
mesh_terms: D002497:Centralized Hospital Services; D019538:Health Care Surveys; D006801:Humans; D007297:Inpatients; D007755:Laboratories, Hospital / Q000458:organization & administration*; D010045:Outpatients; D018962:Phlebotomy / Q000592:standards*; D017064:Process Assessment, Health Care; D012107:Research Design; D013997:Time Factors; D014481:United States