title: [Methods of selecting outcome variables for clinical intervention].
abstract: Abstract: There are two stages for selecting the clinical intervention outcome variables. One is crude collection and the other is precise collection. The selection methods include brainstorming method, Delphi method, Gordon method, systematic review, systematic analysis method, mathematic model method and so on. Each method has some advantages or disadvantages. When selecting the clinical intervention outcome variables, researchers should make sure the research aim, the representative and the sensitivity of the variables, and select all kinds of recommended methods comprehensively, then decide which method should be used.
authors.affiliation: Institute of Basic Medical Science, Chinese Academy of Medical Sciences, and Department of Epidemiology, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China. wanxiasnake@163.com
authors.forename: Xia
authors.initials: X
authors.lastname: Wan
authors.forename: Jian-ping
authors.initials: JP
authors.lastname: Liu
authors.forename: Hong-wei
authors.initials: HW
authors.lastname: Zhang
authors.forename: Yan-ke
authors.initials: YK
authors.lastname: Ai
mesh_terms: D019317:Evidence-Based Medicine; D006305:Health Status Indicators; D006801:Humans; D008516:Medicine, Chinese Traditional; D008991:Monitoring, Physiologic / Q000379:methods* / Q000706:statistics & numerical data; D017063:Outcome Assessment, Health Care / Q000379:methods*; D011788:Quality of Life; D016032:Randomized Controlled Trials as Topic; D012720:Severity of Illness Index