ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2006
The use of cardiovascular risk factor information in practice databases: making the best of patient data.
Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- The NHS Health Check programme: a comparison against established standards for screening.The British journal of general practice : the journal of the Royal College of General Practitioners · 2014Article
- Impact of age and sex on primary preventive treatment for cardiovascular disease in the West Midlands, UK: cross sectional study.BMJ (Clinical research ed.) · 2012Article
- Predictors of the quality of cardiovascular prevention--a multilevel cross-sectional study.Croatian medical journal · 2011Article
- Identifying individuals for primary cardiovascular disease prevention in UK general practice: priorities and resource implications.The British journal of general practice : the journal of the Royal College of General Practitioners · 2008Article
- The Sandwell Project: a controlled evaluation of a programme of targeted screening for prevention of cardiovascular disease in primary care.BMC public health · 2008Article
- Identification of patients for clinical risk assessment by prediction of cardiovascular risk using default risk factor values.BMC public health · 2008Article
- The use of cardiovascular risk factor information in practice databases.The British journal of general practice : the journal of the Royal College of General Practitioners · 2006Article
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrimary care teams record cardiovascular risk factor data on their patients to help them identify and treat patients eligible for prevention. However, it is not known to what extent this information is already available to clinicians, or the extent to which it is used.
aimTo assess the extent to which risk factor is recorded, and to determine the cost-effectiveness of using recorded risk factor information in order to identify and treat eligible patients. DESIGN OF STUDY: An Excel-based model of the incremental costs and benefits of assessment and treatment.
settingTwo general practices in the West Midlands.
methodUntreated, non-diabetic patients, aged 35-74 years, were identified from each practice, and risk factor data was uploaded into an Excel spreadsheet. The completeness of risk factor data was assessed. The costs and benefits of assessing and treating patients, in descending order of estimated cardiovascular risk, were then modelled.
resultsIn each practice, 72.9% and 77.7% of patients had a record of their blood pressure, 26.9% and 25.7% were eligible for at least one treatment: aspirin was the most common treatment followed by antihypertensives. With patients systematically assessed in descending order of cardiovascular risk, 78% of eligible patients and 87% of preventable cardiovascular events are found in the first two deciles of the target population.
conclusionsLack of risk factor information is not the principal constraint on cardiovascular prevention. Practices have sufficient risk factor data to inform an efficient, targeted prevention strategy.
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Identifiers
16882378PMC1874524What OpenQuestion holds
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