title: [The regression analysis of the in hospital medical staffs infection rate and the application of the isolation measures including the emergency-isolation radiology information system].
abstract: OBJECTIVE
  To analyze the relationship between the rate of the in-hospital medical staff SARS infection and the measure of isolation which including the application of the emergency-isolation radiology information system (EIRIS) in polyclinic.
  
  
  METHODS
  The groups were classified according to the application of the prevention and protection measure. Group A referred to the stage before the declaration of infectious area was made. Group B was defined as the stage in which the application of common measures of the prevention and protection were made, but the isolation measure was not taken (the suspected or diagnosed cases had the chest X ray film examination in the department of radiology). Group C was the stage after the startup of the isolation measure including the application of EIRIS. the number of the diagnosed cases, the medical staffs exposed, and the diagnosed cases of medical staffs were recorded.
  
  
  RESULTS
  In group A, the infectious rate of in-hospital medical staffs showed a marked ascending trend with the regression coefficient of 0.000545, P = 0.04. The rate showed a little descending trend in Group B compared with that in Group A with the regression coefficient of 0.000164, P = 0.140. While marked descending trend compared with group A was demonstrated in group C with the regression coefficient of 0.000037, P = 0.02.
  
  
  CONCLUSIONS
  The trend of the in-hospital medical staffs infection rate changed with different style of prevention and protection measures. With the application of the common measure of the prevention and protection, the rate was significantly lower than that in group A. After the application of the isolation measures including EIRIS, the rate showed the descending trend much further.
authors.affiliation: Department of Radiology, Peking University Third Hospital, Beijing 100083, China. mriyxh@sina.com
authors.forename: Hongbin
authors.initials: H
authors.lastname: Han
authors.forename: Xuan
authors.initials: X
authors.lastname: Li
authors.forename: Wen
authors.initials: W
authors.lastname: Qu
authors.forename: Tao
authors.initials: T
authors.lastname: Shen
authors.forename: Feng
authors.initials: F
authors.lastname: Xu
authors.forename: Donghong
authors.initials: D
authors.lastname: Gao
mesh_terms: D004630:Emergencies; D006801:Humans; D015994:Incidence; D008505:Medical Staff, Hospital; D010356:Patient Isolation; D011859:Radiography; D011873:Radiology Information Systems; D012044:Regression Analysis; D045169:Severe Acute Respiratory Syndrome / Q000000981:diagnostic imaging* / Q000453:epidemiology*