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[Methods of selecting outcome variables for clinical intervention]
Xia Wan1, Jian-ping Liu, Hong-wei Zhang
1Institute 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
Zhong Xi Yi Jie He Xue Bao = Journal of Chinese Integrative Medicine
|January 12, 2007
Summary
Selecting clinical intervention outcome variables involves two stages: crude and precise collection. Researchers must consider research aim, variable representativeness, and sensitivity when choosing from methods like Delphi or systematic reviews.
Area of Science:
- Clinical research methodology
- Biostatistics
- Health outcomes research
Background:
- Effective clinical intervention requires precise outcome variable selection.
- Current methods for selecting outcome variables vary in approach and applicability.
Purpose of the Study:
- To outline the stages and methods for selecting clinical intervention outcome variables.
- To guide researchers in choosing appropriate methods based on study needs.
Main Methods:
- The study describes two primary stages: crude and precise collection of outcome variables.
- Various selection methodologies are discussed, including brainstorming, Delphi method, Gordon method, systematic review, systematic analysis, and mathematical modeling.
Main Results:
- Each described method possesses distinct advantages and limitations.
- Successful selection hinges on aligning variables with research aims, ensuring representativeness, and confirming sensitivity.
Conclusions:
- A comprehensive and judicious approach is necessary for selecting clinical intervention outcome variables.
- Researchers should integrate multiple recommended methods to determine the most suitable selection strategy.
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