Literature DB >> 17962235

Low yield of population-based screening for Type 2 diabetes in the Netherlands: the ADDITION Netherlands study.

P G H Janssen1, K J Gorter, R P Stolk, G E H M Rutten.   

Abstract

BACKGROUND: About 10 years ago, it was estimated that half of all people with diabetes were unrecognized. Since then, according to the national guidelines, case finding for diabetes in general practice has become common in the Netherlands, resulting in a substantial increase of the prevalence of known diabetes. Nevertheless, the need for population-based screening is advocated, especially by the national federation of diabetes patients.
OBJECTIVE: To evaluate the efficiency of population-based screening for Type 2 diabetes.
METHODS: From 2002 to 2004, we performed a four-step screening procedure [questionnaire, random glucose measurement, fasting glucose measurement and oral glucose tolerance test (OGTT)] and a three-step procedure (without random glucose measurement) in 79 general practices in the southwestern region of the Netherlands.
RESULTS: A total of 56 978 non-diabetic subjects, aged 50-70 years, were asked to complete the questionnaire. Those with a score above threshold underwent further glucose testing. Eventually, 586 participants (1.0%) were diagnosed with Type 2 diabetes (in four-step procedure 285 subjects and in three-step procedure 301). Impaired glucose regulation was assessed in 1011 participants (1.8%). Dropout rate in the screening programme among participants who should undergo an OGTT was 23.4%. The risk score was higher if glucose metabolism was more disturbed.
CONCLUSION: In the Netherlands, the yield of population-based screening is low. The dropout among high-risk individuals was high. Given the decreasing prevalence of undiagnosed diabetes and the possibility of opportunistic screening on a continuous basis, opportunistic screening for diabetes might be more appropriate than population-based screening. Further research on this topic is needed.

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Year:  2007        PMID: 17962235     DOI: 10.1093/fampra/cmm052

Source DB:  PubMed          Journal:  Fam Pract        ISSN: 0263-2136            Impact factor:   2.267


  18 in total

1.  Randomised controlled trial of intensive multifactorial treatment for cardiovascular risk in patients with screen-detected type 2 diabetes: 1-year data from the ADDITION Netherlands study.

Authors:  Paul Gh Janssen; Kees J Gorter; Ronald P Stolk; Guy Ehm Rutten
Journal:  Br J Gen Pract       Date:  2009-01       Impact factor: 5.386

2.  Yield of opportunistic targeted screening for type 2 diabetes in primary care: the diabscreen study.

Authors:  Erwin P Klein Woolthuis; Wim J C de Grauw; Willem H E M van Gerwen; Henk J M van den Hoogen; Eloy H van de Lisdonk; Job F M Metsemakers; Chris van Weel
Journal:  Ann Fam Med       Date:  2009 Sep-Oct       Impact factor: 5.166

3.  Fasting Plasma Glucose and the HbA1c Are Not Optimal Screening Modalities for the Diagnosis of New Diabetes in Previously Undiagnosed Asian Indian Community Participants.

Authors:  Rosaley Prakaschandra; Datshanna Prakesh Naidoo
Journal:  Ethn Dis       Date:  2018-02-01       Impact factor: 1.847

4.  More than measurement: practice team experiences of screening for type 2 diabetes.

Authors:  Jonathan Graffy; Julie Grant; Kate Williams; Simon Cohn; Sara Macbay; Simon Griffin; Ann Louise Kinmonth
Journal:  Fam Pract       Date:  2010-04-19       Impact factor: 2.267

5.  Risk of development of diabetes mellitus after diagnosis of gestational diabetes.

Authors:  Denice S Feig; Bernard Zinman; Xuesong Wang; Janet E Hux
Journal:  CMAJ       Date:  2008-07-29       Impact factor: 8.262

6.  No negative effects of a multi-factorial, intensified treatment on self-reported health status, treatment satisfaction, and diabetes-related distress in screen-detected type 2 diabetes patients. The ADDITION-Netherlands study.

Authors:  Maureen van den Donk; Kees J Gorter; Guy E Rutten
Journal:  Qual Life Res       Date:  2010-02-13       Impact factor: 4.147

7.  Do characteristics of practices and general practitioners influence the yield of diabetes screening in primary care? The ADDITION Netherlands study.

Authors:  Paul G H Janssen; Kees J Gorter; Ronald P Stolk; Guy E H M Rutten
Journal:  Scand J Prim Health Care       Date:  2008       Impact factor: 2.581

8.  High-sensitivity C-reactive protein to detect metabolic syndrome in a centrally obese population: a cross-sectional analysis.

Authors:  Corine den Engelsen; Paula S Koekkoek; Kees J Gorter; Maureen van den Donk; Philippe L Salomé; Guy E Rutten
Journal:  Cardiovasc Diabetol       Date:  2012-03-14       Impact factor: 9.951

9.  Three years follow-up of screen-detected diabetic and non-diabetic subjects: who is better off? The ADDITION Netherlands study.

Authors:  Paul G H Janssen; Kees J Gorter; Ronald P Stolk; Mehmet Akarsubasi; Guy E H M Rutten
Journal:  BMC Fam Pract       Date:  2008-12-16       Impact factor: 2.497

10.  Screening for type 2 diabetes in a high-risk population: study design and feasibility of a population-based randomized controlled trial.

Authors:  Bart Klijs; Suzie J Otto; Robert J Heine; Yolanda van der Graaf; Jan J Lous; Harry J de Koning
Journal:  BMC Public Health       Date:  2012-08-17       Impact factor: 3.295

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