Document Detail

Assessing the quality of randomized controlled trials. Current issues and future directions.
MedLine Citation:
PMID:  8707495     Owner:  NLM     Status:  MEDLINE    
Assessing the quality of randomized controlled trials is a relatively new and important development. Three approaches have been developed: component, checklist, and scale assessment. Component approaches evaluate selected aspects of trials, such as masking. Checklists and scales involve lists of items thought to be integral to study quality. Scales, unlike the other methods, provide a summary numeric score of quality, which can be formally incorporated into a systematic review. Most scales to date have not been developed with sufficient rigor, however. Empirical evidence indicates that differences in scale development can lead to important differences in quality assessment. Several methods for including quality scores in systematic reviews have been proposed, but since little empirical evidence supports any given method, results must be interpreted cautiously. Future efforts may be best focused on gathering more empirical evidence to identify trial characteristics directly related to bias in the estimates of intervention effects and on improving the way in which trials are reported.
D Moher; A R Jadad; P Tugwell
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Publication Detail:
Type:  Journal Article; Review    
Journal Detail:
Title:  International journal of technology assessment in health care     Volume:  12     ISSN:  0266-4623     ISO Abbreviation:  Int J Technol Assess Health Care     Publication Date:  1996  
Date Detail:
Created Date:  1996-09-12     Completed Date:  1996-09-12     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  8508113     Medline TA:  Int J Technol Assess Health Care     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  195-208     Citation Subset:  IM    
University of Ottawa.
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MeSH Terms
Data Interpretation, Statistical
Guidelines as Topic
Randomized Controlled Trials as Topic / standards*
Reproducibility of Results
Research Design

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