Literature DB >> 18611316

Identifying individuals for primary cardiovascular disease prevention in UK general practice: priorities and resource implications.

Tim A Holt1, Margaret Thorogood, Frances Griffiths, Stephen Munday, David Stables.   

Abstract

Targeted cardiovascular disease prevention relies on risk-factor information held in primary care records. A risk algorithm, the 'e-Nudge', was applied to data from a population of >or=50-year-olds in 19 West Midlands practices, to identify those individuals at risk of cardiovascular disease. Altogether, 5.9% were identified aged 50-74 years at >or=20% 10-year risk based on existing data, and a further 26.4% were potentially at risk but had missing risk-factor information; 9.2% of patients aged over 50 years with established cardiovascular disease had at least one modifiable risk factor outside the audit target of the Quality and Outcomes Framework. Implications for resource allocation are discussed.

Entities:  

Mesh:

Year:  2008        PMID: 18611316      PMCID: PMC2441511          DOI: 10.3399/bjgp08X319468

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


  12 in total

1.  Accuracy of cardiovascular risk estimation for primary prevention in patients without diabetes.

Authors:  Timothy M Reynolds; Patrick Twomey; Anthony S Wierzbicki
Journal:  J Cardiovasc Risk       Date:  2002-08

2.  Concordance evaluation of coronary risk scores: implications for cardiovascular risk screening.

Authors:  Timothy M Reynolds; Patrick J Twomey; Anthony S Wierzbicki
Journal:  Curr Med Res Opin       Date:  2004-06       Impact factor: 2.580

3.  Cardiovascular risk models.

Authors:  Luc Bonneux
Journal:  BMJ       Date:  2007-07-06

4.  Improving management of hypertension in general practice: a randomised controlled trial of feedback derived from electronic patient data.

Authors:  Elizabeth Mitchell; Frank Sullivan; Jeremy M Grimshaw; Peter T Donnan; Graham Watt
Journal:  Br J Gen Pract       Date:  2005-02       Impact factor: 5.386

5.  The use of cardiovascular risk factor information in practice databases: making the best of patient data.

Authors:  Tom Marshall
Journal:  Br J Gen Pract       Date:  2006-08       Impact factor: 5.386

6.  Applying the Sheffield tables to data from general practice.

Authors:  J Muir; A Fuller; T Lancaster
Journal:  Br J Gen Pract       Date:  1999-03       Impact factor: 5.386

7.  Guidelines for management of hypertension: report of the fourth working party of the British Hypertension Society, 2004-BHS IV.

Authors:  B Williams; N R Poulter; M J Brown; M Davis; G T McInnes; J F Potter; P S Sever; S McG Thom
Journal:  J Hum Hypertens       Date:  2004-03       Impact factor: 3.012

8.  Cardiovascular disease risk profiles.

Authors:  K M Anderson; P M Odell; P W Wilson; W B Kannel
Journal:  Am Heart J       Date:  1991-01       Impact factor: 4.749

9.  Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study.

Authors:  Julia Hippisley-Cox; Carol Coupland; Yana Vinogradova; John Robson; Margaret May; Peter Brindle
Journal:  BMJ       Date:  2007-07-05

10.  Protocol for the 'e-Nudge trial': a randomised controlled trial of electronic feedback to reduce the cardiovascular risk of individuals in general practice [ISRCTN64828380].

Authors:  Tim A Holt; Margaret Thorogood; Frances Griffiths; Stephen Munday
Journal:  Trials       Date:  2006-04-28       Impact factor: 2.279

View more
  4 in total

1.  Cardiovascular disease risk of homeless patients.

Authors:  Janet Maxwell; Jason Lie
Journal:  Br J Gen Pract       Date:  2008-09       Impact factor: 5.386

2.  The Fremantle Primary Prevention Study: a multicentre randomised trial of absolute cardiovascular risk reduction.

Authors:  Tom Brett; Diane Arnold-Reed; Cam Phan; Frances Cadden; William Walker; Wendy Manea-Walley; Noelene Mora; Julie Young; Max Bulsara
Journal:  Br J Gen Pract       Date:  2012-01       Impact factor: 5.386

3.  Cardiovascular screening in general practice in a low SES area.

Authors:  Ans H Tiessen; Andries J Smit; Sebes Zevenhuizen; Edwin M Spithoven; Klaas Van der Meer
Journal:  BMC Fam Pract       Date:  2012-12-10       Impact factor: 2.497

4.  Impact of age and sex on primary preventive treatment for cardiovascular disease in the West Midlands, UK: cross sectional study.

Authors:  J P Sheppard; S Singh; K Fletcher; R J McManus; J Mant
Journal:  BMJ       Date:  2012-07-12
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.