Literature DB >> 14601343

Explaining variations in reported diabetes prevalence in general practice: how much variation is explained by differences between practice populations?

Elizabeth Goyder1, Vicky Hammersley.   

Abstract

There are large variations in reported diabetes prevalence within United Kingdom (UK) populations. Linear regression was used to investigate whether population characteristics could explain the variation in prevalence between 19 practices with relatively complete diagnostic recording. Population obesity and South Asian ethnicity largely explained observed variation in prevalence (adjusted R2 = 0.80). When adjusted for obesity and ethnicity, the deprivation score was no longer a predictor of diabetes prevalence. If true variation in prevalence between practices is largely predicted by population ethnicity and obesity, these population characteristics could be used to predict expected prevalence and to assess the completeness of practice registers.

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Year:  2003        PMID: 14601343      PMCID: PMC1314681     

Source DB:  PubMed          Journal:  Br J Gen Pract        ISSN: 0960-1643            Impact factor:   5.386


  5 in total

1.  A comparison of research general practices and their patients with other practices--a cross-sectional survey in Trent.

Authors:  Vicky Hammersley; Julia Hippisley-Cox; Andrew Wilson; Mike Pringle
Journal:  Br J Gen Pract       Date:  2002-06       Impact factor: 5.386

2.  Collation and comparison of multi-practice audit data: prevalence and treatment of known diabetes mellitus.

Authors:  K Khunti; E Goyder; R Baker
Journal:  Br J Gen Pract       Date:  1999-05       Impact factor: 5.386

3.  Assessment of the completeness and accuracy of computer medical records in four practices committed to recording data on computer.

Authors:  M Pringle; P Ward; C Chilvers
Journal:  Br J Gen Pract       Date:  1995-10       Impact factor: 5.386

4.  Influences on the variation in prevalence of type 2 diabetes between general practices: practice, patient or socioeconomic factors?

Authors:  David L Whitford; Simon J Griffin; A Toby Prevost
Journal:  Br J Gen Pract       Date:  2003-01       Impact factor: 5.386

5.  The Southall Diabetes Survey: prevalence of known diabetes in Asians and Europeans.

Authors:  H M Mather; H Keen
Journal:  Br Med J (Clin Res Ed)       Date:  1985-10-19
  5 in total
  3 in total

1.  The effect of screening on the prevalence of diagnosed type 2 diabetes in primary care.

Authors:  Mark Spigt; Annelies Rikkers; Mirte Doornbos; Evelyn Wouters; Isi Spitz; Ludovic Van Amelsvoort; Paul Zwietering
Journal:  Scand J Prim Health Care       Date:  2009       Impact factor: 2.581

2.  Ethnic inequalities in the treatment and outcome of diabetes in three English Primary Care Trusts.

Authors:  Michael A Soljak; Azeem Majeed; Joseph Eliahoo; Anne Dornhorst
Journal:  Int J Equity Health       Date:  2007-08-02

3.  Inter-practice variation in diagnosing hypertension and diabetes mellitus: a cross-sectional study in general practice.

Authors:  Markus M J Nielen; François G Schellevis; Robert A Verheij
Journal:  BMC Fam Pract       Date:  2009-01-21       Impact factor: 2.497

  3 in total

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