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Monte Carlo simulation of the cost-effectiveness of sample size maintenance programs revealed the need to consider substitution sampling.
MedLine Citation:
PMID:  23017637     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
OBJECTIVE: To assess the cost-effectiveness of sample size maintenance programs in a prospective cohort.
STUDY DESIGN AND SETTING: The Living with Diabetes Study in Queensland, Australia is a longitudinal survey providing a comprehensive examination of health care utilization and disease progression among people with diabetes. Data from this study were used to compare the cost-effectiveness of a program incorporating substitution sampling with two alternative programs: "no follow-up" and "usual practice."
RESULTS: A program involving substitution sampling was shown to be the most effective with an additional 3,556 complete responses (compared with a "no follow-up" program) and an additional 2,099 complete responses (compared with "usual practice"). An incremental analysis through a Monte Carlo simulation found substitution sampling to be the most cost-effective option for maintaining sample size with an incremental cost-effective ratio of $54.87 (95% uncertainty interval $52.68-$57.25) compared with $87.58 ($77.89-$100.09) for "usual practice."
CONCLUSIONS: Based on the available data, a program involving substitution sampling is economically justified and should be considered in any approach with the aim of maintaining sample size. There is, however, a continuing need to evaluate the effectiveness of this option on other outcome measures, such as bias.
Authors:
Michael C David; Mark Bensink; Hideki Higashi; Maria Donald; Rosa Alati; Robert S Ware
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of clinical epidemiology     Volume:  65     ISSN:  1878-5921     ISO Abbreviation:  J Clin Epidemiol     Publication Date:  2012 Nov 
Date Detail:
Created Date:  2012-09-28     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8801383     Medline TA:  J Clin Epidemiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1200-11     Citation Subset:  IM    
Copyright Information:
Copyright © 2012 Elsevier Inc. All rights reserved.
Affiliation:
School of Population Health, The University of Queensland, Herston Road, Herston, Queensland 4006, Australia. Electronic address: michael.david@uqconnect.edu.au.
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