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dc.contributor.authorBreeze, PR
dc.contributor.authorThomas, C
dc.contributor.authorSquires, H
dc.contributor.authorBrennan, A
dc.contributor.authorGreaves, C
dc.contributor.authorDiggle, PJ
dc.contributor.authorBrunner, E
dc.contributor.authorTabak, A
dc.contributor.authorPreston, L
dc.contributor.authorChilcott, J
dc.date.accessioned2017-03-09T13:26:37Z
dc.date.issued2017-01-11
dc.description.abstractAIMS: To develop a cost-effectiveness model to compare Type 2 diabetes prevention programmes targeting different at-risk population subgroups with a lifestyle intervention of varying intensity. METHODS: An individual patient simulation model was constructed to simulate the development of diabetes in a representative sample of adults without diabetes from the UK population. The model incorporates trajectories for HbA1c , 2-h glucose, fasting plasma glucose, BMI, systolic blood pressure, total cholesterol and HDL cholesterol. Patients can be diagnosed with diabetes, cardiovascular disease, microvascular complications of diabetes, cancer, osteoarthritis and depression, or can die. The model collects costs and utilities over a lifetime horizon. The perspective is the UK National Health Service and personal social services. We used the model to evaluate the population-wide impact of targeting a lifestyle intervention of varying intensity to six population subgroups defined as high risk for diabetes. RESULTS: The intervention produces 0.0003 to 0.0009 incremental quality-adjusted life years and saves up to £1.04 per person in the general population, depending upon the subgroup targeted. Cost-effectiveness increases with intervention intensity. The most cost-effective options are to target individuals with HbA1c > 42 mmol/mol (6%) or with a high Finnish Diabetes Risk (FINDRISC) probability score (> 0.1). CONCLUSION: The model indicates that diabetes prevention interventions are likely to be cost-effective and may be cost-saving over a lifetime. In the model, the criteria for selecting at-risk individuals differentially impact upon diabetes and cardiovascular disease outcomes, and on the timing of benefits. These findings have implications for deciding who should be targeted for diabetes prevention interventions. This article is protected by copyright. All rights reserved.en_GB
dc.description.sponsorshipThis research was funded by the National Institute for Health Research (NIHR)’s School for Public Health Research (SPHR).en_GB
dc.identifier.citationAccepted manuscript online: 11 January 2017en_GB
dc.identifier.doi10.1111/dme.13314
dc.identifier.urihttp://hdl.handle.net/10871/26375
dc.language.isoenen_GB
dc.publisherWileyen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/28075544en_GB
dc.rights© 2017 The Authors. Diabetic Medicine published by John Wiley & Sons Ltd on behalf of Diabetes UK. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.en_GB
dc.titleThe impact of Type 2 diabetes prevention programmes based on risk-identification and lifestyle intervention intensity strategies: a cost-effectiveness analysis.en_GB
dc.typeArticleen_GB
dc.date.available2017-03-09T13:26:37Z
dc.identifier.issn0742-3071
exeter.place-of-publicationEnglanden_GB
dc.descriptionPublished onlineen_GB
dc.descriptionJournal Articleen_GB
dc.descriptionThis is the author accepted manuscript. The final version is available from Wiley via the DOI in this record.en_GB
dc.identifier.eissn1464-5491
dc.identifier.journalDiabetic Medicineen_GB


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