title: Automated computer interviews to elicit utilities: potential applications in the treatment of deep venous thrombosis.
abstract: OBJECTIVE
  To assess the practicality of an automated computer interview as a method to assess preferences for use in decision making. To assess preferences for outcomes of deep vein thrombosis (DVT) and its treatment.
  
  
  METHODS
  A multimedia program was developed to train subjects in the use of different preference assessment methods, presented descriptions of mild post-thrombotic syndrome (PTS), severe PTS and stroke and elicited subject preferences for these health states. This instrument was used to measure preferences in 30 community volunteers and 30 internal medicine physicians. We then assessed the validity of subject responses and calculated the number of quality-adjusted life years (QALYs) for each individual for each alternative.
  
  
  RESULTS
  All subjects completed the computerized survey instrument without assistance. Subjects generally responded positively to the program, with volunteers and physicians reporting similar preferences. Approximately 26.5% of volunteers and physicians had preferences that would be consistent with the use of thrombolysis. Individualization of therapy would lead to the most QALYs.
  
  
  CONCLUSIONS
  Utilization of computerized survey instruments to elicit patient preferences appears to be a practical and valid approach to individualize therapy. Application of this method suggests that there may be many patients with DVT for whom treatment with a thrombolytic drug would be optimal.
authors.affiliation: Department of Medicine, Stanford University School of Medicine, CA, USA.
authors.forename: L A
authors.initials: LA
authors.lastname: Lenert
authors.forename: R M
authors.initials: RM
authors.lastname: Soetikno
mesh_terms: D000328:Adult; D001292:Attitude to Computers; D002561:Cerebrovascular Disorders / Q000517:prevention & control / Q000523:psychology; D003661:Decision Support Techniques; D005260:Female; D006470:Hemorrhage / Q000209:etiology; D006801:Humans; D008297:Male; D008491:Medical Informatics Applications; D019212:Multimedia; D010353:Patient Education as Topic / Q000379:methods*; D018579:Patient Selection; D011186:Postphlebitic Syndrome / Q000517:prevention & control / Q000523:psychology; D019057:Quality-Adjusted Life Years; D012044:Regression Analysis; D015912:Thrombolytic Therapy / Q000009:adverse effects; D013924:Thrombophlebitis / Q000188:drug therapy*; D014584:User-Computer Interface