title: Does sex influence the allocation of life support level by dispatchers in acute chest pain?
abstract: OBJECTIVE
  The aim of this study was to evaluate (a) the differences between men and women in symptom profile, allocated life support level (LSL), and presence of acute myocardial infarction (AMI), life-threatening condition (LTC), or death and (b) whether a computer-based decision support system could improve the allocation of LSL.
  
  
  METHODS
  All patients in Göteborg, Sweden, who called the dispatch center because of chest pain during 3 months (n = 503) were included in this study.
  
  
  METHODS
  Age, sex, and symptom profile were background variables. Based on these, we studied allocation of LSL by the dispatchers and its relationship to AMI, LTC, and death. All evaluations were made from a sex perspective. Finally, we studied the potential benefit of using a statistical model for allocating LSL.
  
  
  RESULTS
  The advanced life support level (ALSL) was used equally frequently for men and women. There was no difference in age or symptom profile between men and women in relation to allocation. However, the allocation of ALSL was predictive of AMI and LTC only in men. The sensitivity was far lower for women than for men. When a statistical model was used for allocation, the ALSL was predictive for both men and women. Using a separate model for men and women respectively, sensitivity increased, especially for women, and specificity was kept at the same level.
  
  
  CONCLUSIONS
  This exploratory study indicates that women would benefit most from the allocation of LSL using a statistical model and computer-based decision support among patients who call for an ambulance because of acute chest pain. This needs further evaluation.
authors.affiliation: University of Trollhättan/Uddevalla, Box 795, SE-451 26 Uddevalla, Sweden.
authors.forename: Martin
authors.initials: M
authors.lastname: Gellerstedt
authors.forename: Angela
authors.initials: A
authors.lastname: Bång
authors.forename: Emma
authors.initials: E
authors.lastname: Andréasson
authors.forename: Anna
authors.initials: A
authors.lastname: Johansson
authors.forename: Johan
authors.initials: J
authors.lastname: Herlitz
mesh_terms: D000208:Acute Disease; D000367:Age Factors; D000368:Aged; D000552:Ambulances / Q000706:statistics & numerical data; D002637:Chest Pain / Q000628:therapy*; D016009:Chi-Square Distribution; D003658:Decision Making, Computer-Assisted; D004632:Emergency Medical Services / Q000706:statistics & numerical data*; D005260:Female; D054625:Healthcare Disparities / Q000706:statistics & numerical data; D006801:Humans; D008020:Life Support Care / Q000706:statistics & numerical data*; D016015:Logistic Models; D008297:Male; D040841:Resource Allocation; D012737:Sex Factors; D013548:Sweden