Literature DB >> 11050785

An assessment of morbidity registers for coronary heart disease in primary care. ASSIST (ASSessment of Implementation STrategy) trial collaborative group.

M Moher1, P Yudkin, R Turner, T Schofield, D Mant.   

Abstract

BACKGROUND: Organised care delivered systematically to all patients with established coronary heart disease (CHD) can reduce their risk factors and improve their quality of life. Therefore, identifying all patients with established CHD in a general practice population is an important first step for delivering this effective healthcare. However, there is little information on how registers are compiled, the factors that predict inclusion on the register or the relationship between registration and level of care provided. AIM: To assess the completeness of morbidity registers for CHD in primary care, the factors that predict inclusion on the register, and the relationship between registration and level of care provided.
METHOD: Observational study at baseline of 1979 patients aged 55 to 75 years with established CHD in 18 general practices recruited for a cluster randomised controlled trial.
RESULTS: The proportion of CHD patients correctly identified on practice morbidity registers varied from 29.3% to 100%. Four factors were significantly and independently associated with being on a register: a relevant surgery contact since diagnosis (OR = 2.1, 95% CI = 1.6%-2.9%); a relevant repeat prescription since diagnosis (OR = 1.6, 95% CI = 1.1%-2.3%); a diagnosis of myocardial infarction (OR = 1.5, 95% CI = 1.2%-1.9%); and a revascularisation procedure (OR = 1.5, 95% CI = 1.1%-2.0%). Inclusion on a register was strongly associated with being adequately assessed (i.e. assessed for smoking status, blood pressure, and cholesterol) (OR = 1.8, 95% CI = 1.3%-2.3%) and with treatment with aspirin or a lipid-lowering agent (OR = 1.4 for each agent).
CONCLUSION: A wide variation in registration levels between practices exists. There is evidence that practices using multiple methods of case detection achieve higher levels of registration. The association between registration and better care does not prove causality but an effective call-recall system is impossible without complete registration.

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Year:  2000        PMID: 11050785      PMCID: PMC1313797     

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


  5 in total

1.  Completeness and accuracy of morbidity and repeat prescribing records held on general practice computers in Scotland.

Authors:  F G Whitelaw; S L Nevin; R M Milne; R J Taylor; M W Taylor; A H Watt
Journal:  Br J Gen Pract       Date:  1996-03       Impact factor: 5.386

2.  Secondary prevention in coronary heart disease: a randomised trial of nurse led clinics in primary care.

Authors:  N C Campbell; L D Ritchie; J Thain; H G Deans; J M Rawles; J L Squair
Journal:  Heart       Date:  1998-11       Impact factor: 5.994

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.  Completeness of chronic disease registration in general practice.

Authors:  D Mant; A Tulloch
Journal:  Br Med J (Clin Res Ed)       Date:  1987-01-24

5.  Risk factors for ischaemic heart disease: the prospective phase of the British Regional Heart Study.

Authors:  A G Shaper; S J Pocock; M Walker; A N Phillips; T P Whitehead; P W Macfarlane
Journal:  J Epidemiol Community Health       Date:  1985-09       Impact factor: 3.710

  5 in total
  8 in total

1.  New beginning for care for elderly people? National framework could transform care for older people in England.

Authors:  I Philp
Journal:  BMJ       Date:  2001-08-11

2.  Identifying patients with ischaemic heart disease in general practice: cross sectional study of paper and computerised medical records.

Authors:  J Gray; A Majeed; S Kerry; G Rowlands
Journal:  BMJ       Date:  2000-09-02

3.  How accurate is diagnosis of asthma in a general practice database? A review of patients' notes and questionnaire-reported symptoms.

Authors:  David G Ward; David M Halpin; David A Seamark
Journal:  Br J Gen Pract       Date:  2004-10       Impact factor: 5.386

4.  Cluster randomised controlled trial to compare three methods of promoting secondary prevention of coronary heart disease in primary care.

Authors:  M Moher; P Yudkin; L Wright; R Turner; A Fuller; T Schofield; D Mant
Journal:  BMJ       Date:  2001-06-02

5.  Improving evidence based cardiac care and policy implementation over the patient journey: the potential of coronary heart disease registers.

Authors:  A M Clark; I N Findlay
Journal:  Heart       Date:  2005-09       Impact factor: 5.994

6.  Identification of stroke in the community: a comparison of three methods.

Authors:  J Mant; R J McManus; R Hare; P Mayer
Journal:  Br J Gen Pract       Date:  2003-07       Impact factor: 5.386

7.  A retrospective cohort study assessing patient characteristics and the incidence of cardiovascular disease using linked routine primary and secondary care data.

Authors:  Rupert A Payne; Gary A Abel; Colin R Simpson
Journal:  BMJ Open       Date:  2012-04-13       Impact factor: 2.692

8.  Identification of major cardiovascular events in patients with diabetes using primary care data.

Authors:  Koen Bernardus Pouwels; Jaco Voorham; Eelko Hak; Petra Denig
Journal:  BMC Health Serv Res       Date:  2016-04-02       Impact factor: 2.655

  8 in total

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