Literature DB >> 20135088

Assessing the cost-effectiveness of drug and lifestyle intervention following opportunistic screening for pre-diabetes in primary care.

M Y Bertram1, S S Lim, J J Barendregt, T Vos.   

Abstract

AIMS/HYPOTHESIS: This study aims to evaluate the cost-effectiveness of a screening programme for pre-diabetes, which was followed up by treatment with pharmaceutical interventions (acarbose, metformin, orlistat) or lifestyle interventions (diet, exercise, diet and exercise) in order to prevent or slow the onset of diabetes in those at high risk.
METHODS: To approximate the experience of individuals with pre-diabetes in the Australian population, we used a microsimulation approach, following patient progression through diabetes, cardiovascular disease and renal failure. The model compares costs and disability-adjusted life years lived in people identified through an opportunistic screening programme for each intervention compared with a 'do nothing' scenario, which is representative of current practice. It is assumed that the effect of a lifestyle change will decay by 10% per year, while the effect of a pharmaceutical intervention remains constant throughout use.
RESULTS: The most cost-effective intervention options are diet and exercise combined, with a cost-effectiveness ratio of AUD 22,500 per disability-adjusted life year (DALY) averted, and metformin with a cost-effectiveness ratio of AUD 21,500 per DALY averted. The incremental addition of one intervention to the other is not cost-effective. CONCLUSIONS/
INTERPRETATION: Screening for pre-diabetes followed by diet and exercise, or metformin treatment is cost-effective and should be considered for incorporation into current practice. The number of dietitians and exercise physiologists needed to deliver such lifestyle change interventions will need to be increased to appropriately support the intervention.

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Year:  2010        PMID: 20135088     DOI: 10.1007/s00125-010-1661-8

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  28 in total

1.  Screening for type 2 diabetes and impaired glucose metabolism: the Australian experience.

Authors:  Stephen Colagiuri; Zafirul Hussain; Paul Zimmet; Adrian Cameron; Jonathan Shaw
Journal:  Diabetes Care       Date:  2004-02       Impact factor: 19.112

2.  The Indian Diabetes Prevention Programme shows that lifestyle modification and metformin prevent type 2 diabetes in Asian Indian subjects with impaired glucose tolerance (IDPP-1).

Authors:  A Ramachandran; C Snehalatha; S Mary; B Mukesh; A D Bhaskar; V Vijay
Journal:  Diabetologia       Date:  2006-01-04       Impact factor: 10.122

3.  The Diabetes Prevention Program (DPP): description of lifestyle intervention.

Authors: 
Journal:  Diabetes Care       Date:  2002-12       Impact factor: 19.112

4.  Rural residents' utilisation of health and visiting specialist health services.

Authors:  S L Rankin; W Hughes-Anderson; J House; J Aitken; D Heath; A W S Mitchell; A K House
Journal:  Rural Remote Health       Date:  2002-08-22       Impact factor: 1.759

5.  Sustained reduction in the incidence of type 2 diabetes by lifestyle intervention: follow-up of the Finnish Diabetes Prevention Study.

Authors:  Jaana Lindström; Pirjo Ilanne-Parikka; Markku Peltonen; Sirkka Aunola; Johan G Eriksson; Katri Hemiö; Helena Hämäläinen; Pirjo Härkönen; Sirkka Keinänen-Kiukaanniemi; Mauri Laakso; Anne Louheranta; Marjo Mannelin; Merja Paturi; Jouko Sundvall; Timo T Valle; Matti Uusitupa; Jaakko Tuomilehto
Journal:  Lancet       Date:  2006-11-11       Impact factor: 79.321

6.  Efficacy of acarbose in Chinese subjects with impaired glucose tolerance.

Authors:  Chang-Yu Pan; Yan Gao; Jia-Wei Chen; Bang-Yao Luo; Zu-Zhi Fu; Ju-Ming Lu; Xiao-Hui Guo; Hua Cheng
Journal:  Diabetes Res Clin Pract       Date:  2003-09       Impact factor: 5.602

7.  Incidence and outcome of subtypes of ischaemic stroke: initial results from the north East melbourne stroke incidence study (NEMESIS).

Authors:  Helen M Dewey; Jonathan Sturm; Geoffrey A Donnan; Richard A L Macdonell; John J McNeil; Amanda G Thrift
Journal:  Cerebrovasc Dis       Date:  2003       Impact factor: 2.762

8.  Using an economic model of diabetes to evaluate prevention and care strategies in Australia.

Authors:  Stephen Colagiuri; Agnes E Walker
Journal:  Health Aff (Millwood)       Date:  2008 Jan-Feb       Impact factor: 6.301

9.  Acarbose for the prevention of Type 2 diabetes, hypertension and cardiovascular disease in subjects with impaired glucose tolerance: facts and interpretations concerning the critical analysis of the STOP-NIDDM Trial data.

Authors:  J-L Chiasson; R G Josse; R Gomis; M Hanefeld; A Karasik; M Laakso
Journal:  Diabetologia       Date:  2004-05-26       Impact factor: 10.122

10.  Full accounting of diabetes and pre-diabetes in the U.S. population in 1988-1994 and 2005-2006.

Authors:  Catherine C Cowie; Keith F Rust; Earl S Ford; Mark S Eberhardt; Danita D Byrd-Holt; Chaoyang Li; Desmond E Williams; Edward W Gregg; Kathleen E Bainbridge; Sharon H Saydah; Linda S Geiss
Journal:  Diabetes Care       Date:  2008-11-18       Impact factor: 17.152

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  26 in total

1.  Does diabetes prevention pay for itself? Evaluation of the M.O.B.I.L.I.S. program for obese persons.

Authors:  Jan Häußler; Friedrich Breyer
Journal:  Eur J Health Econ       Date:  2015-03-31

2.  Resveratrol and exercise.

Authors:  Saltuk Bugra Baltaci; Rasim Mogulkoc; Abdulkerim Kasim Baltaci
Journal:  Biomed Rep       Date:  2016-10-11

3.  Management of diabetes and associated cardiovascular risk factors in seven countries: a comparison of data from national health examination surveys.

Authors:  Emmanuela Gakidou; Leslie Mallinger; Jesse Abbott-Klafter; Ramiro Guerrero; Salvador Villalpando; Ruy Lopez Ridaura; Wichai Aekplakorn; Mohsen Naghavi; Stephen Lim; Rafael Lozano; Christopher J L Murray
Journal:  Bull World Health Organ       Date:  2010-11-22       Impact factor: 9.408

Review 4.  Economic Evaluation of Combined Diet and Physical Activity Promotion Programs to Prevent Type 2 Diabetes Among Persons at Increased Risk: A Systematic Review for the Community Preventive Services Task Force.

Authors:  Rui Li; Shuli Qu; Ping Zhang; Sajal Chattopadhyay; Edward W Gregg; Ann Albright; David Hopkins; Nicolaas P Pronk
Journal:  Ann Intern Med       Date:  2015-09-15       Impact factor: 25.391

5.  The Michigan Model for Coronary Heart Disease in Type 2 Diabetes: Development and Validation.

Authors:  Wen Ye; Michael Brandle; Morton B Brown; William H Herman
Journal:  Diabetes Technol Ther       Date:  2015-07-29       Impact factor: 6.118

6.  The impact of diabetes prevention on labour force participation and income of older Australians: an economic study.

Authors:  Megan E Passey; Rupendra N Shrestha; Melanie Y Bertram; Deborah J Schofield; Theo Vos; Emily J Callander; Richard Percival; Simon J Kelly
Journal:  BMC Public Health       Date:  2012-01-06       Impact factor: 3.295

Review 7.  Review of Metformin Use for Type 2 Diabetes Prevention.

Authors:  Tannaz Moin; Julie A Schmittdiel; James H Flory; Jessica Yeh; Andrew J Karter; Lydia E Kruge; Dean Schillinger; Carol M Mangione; William H Herman; Elizabeth A Walker
Journal:  Am J Prev Med       Date:  2018-08-17       Impact factor: 6.604

Review 8.  Therapeutic Use of Metformin in Prediabetes and Diabetes Prevention.

Authors:  Ulrike Hostalek; Mike Gwilt; Steven Hildemann
Journal:  Drugs       Date:  2015-07       Impact factor: 9.546

9.  A Randomised Controlled Trial to Delay or Prevent Type 2 Diabetes after Gestational Diabetes: Walking for Exercise and Nutrition to Prevent Diabetes for You.

Authors:  A S Peacock; F E Bogossian; S A Wilkinson; K S Gibbons; C Kim; H D McIntyre
Journal:  Int J Endocrinol       Date:  2015-05-18       Impact factor: 3.257

10.  Effectiveness of community-wide and individual high-risk strategies to prevent diabetes: a modelling study.

Authors:  Douglas G Manuel; Laura C Rosella; Meltem Tuna; Carol Bennett; Thérèse A Stukel
Journal:  PLoS One       Date:  2013-01-04       Impact factor: 3.240

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