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dc.contributor.authorDavid, Michael C
dc.contributor.authorBensink, Mark
dc.contributor.authorHigashi, Hideki
dc.contributor.authorDonald, Maria
dc.contributor.authorAlati, Rosa
dc.contributor.authorWare, Robert S
dc.date.accessioned2017-11-15T04:57:14Z
dc.date.available2017-11-15T04:57:14Z
dc.date.issued2012
dc.identifier.issn0895-4356
dc.identifier.doi10.1016/j.jclinepi.2012.04.013
dc.identifier.urihttp://hdl.handle.net/10072/172330
dc.description.abstractObjective: 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.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherElsevier
dc.relation.ispartofpagefrom1200
dc.relation.ispartofpageto1211
dc.relation.ispartofissue11
dc.relation.ispartofjournalJournal of Clinical Epidemiology
dc.relation.ispartofvolume65
dc.subject.fieldofresearchClinical Sciences not elsewhere classified
dc.subject.fieldofresearchMathematical Sciences
dc.subject.fieldofresearchMedical and Health Sciences
dc.subject.fieldofresearchcode110399
dc.subject.fieldofresearchcode01
dc.subject.fieldofresearchcode11
dc.titleMonte Carlo simulation of the cost-effectiveness of sample size maintenance programs revealed the need to consider substitution sampling
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.hasfulltextNo Full Text
gro.griffith.authorWare, Robert
gro.griffith.authorDavid, Michael


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