BMJ 2002;324:459-464 ( 23 February )

Primary care

Comparison of estimates and calculations of risk of coronary heart disease by doctors and nurses using different calculation tools in general practice: cross sectional study

R J McManus, clinical research fellow, ^a J Mant, senior lecturer, ^a C F M Meulendijks, research student, ^b R A Salter,  H M Pattison, senior lecturer, ^a A K Roalfe, medical statistician, ^a F D R Hobbs, professor and head of department, ^a on behalf of the Midlands Research Practice Consortium.

^a Department of Primary Care and General Practice, University of Birmingham, Birmingham B15 2TT, ^b University Medical Centre Nijmegen, Department of Medical Technology Assessment, 253 MTA, 6500 HB Nijmegen, Netherlands

Correspondence to: F D R Hobbs f.d.r.hobbs{at}bham.ac.uk

Objective: To assess the effect of using different risk calculation tools on how general practitioners and practice nurses evaluate the risk of coronary heart disease with clinical data routinely available in patients' records.
Design: Subjective estimates of the risk of coronary heart disease and results of four different methods of calculation of risk were compared with each other and a reference standard that had been calculated with the Framingham equation; calculations were based on a sample of patients' records, randomly selected from groups at risk of coronary heart disease.
Setting: General practices in central England.
Participants: 18 general practitioners and 18 practice nurses.
Main outcome measures: Agreement of results of risk estimation and risk calculation with reference calculation; agreement of general practitioners with practice nurses; sensitivity and specificity of the different methods of risk calculation to detect patients at high or low risk of coronary heart disease.
Results: Only a minority of patients' records contained all of the risk factors required for the formal calculation of the risk of coronary heart disease (concentrations of high density lipoprotein (HDL) cholesterol were present in only 21%). Agreement of risk calculations with the reference standard was moderate (=0.33-0.65 for practice nurses and 0.33 to 0.65 for general practitioners, depending on calculation tool), showing a trend for underestimation of risk. Moderate agreement was seen between the risks calculated by general practitioners and practice nurses for the same patients (=0.47 to 0.58). The British charts gave the most sensitive results for risk of coronary heart disease (practice nurses 79%, general practitioners 80%), and it also gave the most specific results for practice nurses (100%), whereas the Sheffield table was the most specific method for general practitioners (89%).
Conclusions: Routine calculation of the risk of coronary heart disease in primary care is hampered by poor availability of data on risk factors. General practitioners and practice nurses are able to evaluate the risk of coronary heart disease with only moderate accuracy. Data about risk factors need to be collected systematically, to allow the use of the most appropriate calculation tools.

What is already known on this topic Recent guidelines have recommended determining the risk of coronary heart disease for targeting patients at high risk for primary prevention Estimates of risk have been shown to be inaccurate General practitioners and practice nurses can use risk calculation tools accurately when given patient data in the form of scenarios What this study adds Many patients do not have adequate information in their records to allow the risk of coronary heart disease to be calculated When data about risk factors were available, risk calculations made by general practitioners and practice nurses were moderately accurate compared to a reference calculation When adequate information about risk factors is not available, subjective estimates are a reasonable alternative to calculating risk

---

© BMJ 2002
CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    What's this?

Related Articles

Prediction of risk of death and myocardial infarction in the six months after presentation with acute coronary syndrome: prospective multinational observational study (GRACE)

Keith A A Fox, Omar H Dabbous, Robert J Goldberg, Karen S Pieper, Kim A Eagle, Frans Van de Werf, Álvaro Avezum, Shaun G Goodman, Marcus D Flather, Frederick A Anderson, Jr, and Christopher B Granger
BMJ 2006 333: 1091. [Abstract] [Full Text] [PDF]

New score is needed to predict risk of coronary heart disease

Peter Brindle, Tom Fahey, and Shah Ebrahim
BMJ 2002 324: 1217. [Extract] [Full Text]

Subjective estimates are acceptable for calculating coronary risk
BMJ 2002 324: 0. [Full Text]

Psychic wages
BMJ 2002 324: i. [Full Text] [PDF]

This article has been cited by other articles:

• Chauhan, U. (2007). Cardiovascular disease prevention in primary care. Br Med Bull 0: ldm002v1-15 [Abstract] [Full text]  
• Fox, K. A A, Dabbous, O. H, Goldberg, R. J, Pieper, K. S, Eagle, K. A, Van de Werf, F., Avezum, A., Goodman, S. G, Flather, M. D, Anderson, F. A Jr, Granger, C. B (2006). Prediction of risk of death and myocardial infarction in the six months after presentation with acute coronary syndrome: prospective multinational observational study (GRACE). BMJ 333: 1091-1091 [Abstract] [Full text]  
• Fornasini, M., Brotons, C., Sellares, J., Martinez, M., Galan, M. L., Saenz, I., Manuel da Pena, J. (2006). Consequences of using different methods to assess cardiovascular risk in primary care. Fam Pract 23: 28-33 [Abstract] [Full text]  
• Franco, V., Oparil, S., Carretero, O. A. (2004). Hypertensive Therapy: Part I. Circulation 109: 2953-2958 [Full text]  
• Brindle, P. M, Holt, T. A (2004). Cardiovascular risk assessment--time to look beyond cohort studies. Int J Epidemiol 33: 614-615 [Full text]  
• Pasternak, R. C., Abrams, J., Greenland, P., Smaha, L. A., Wilson, P. W. F., Houston-Miller, N. (2003). Task force #1--identification of coronary heart disease risk: is there a detection gap?. J Am Coll Cardiol 41: 1863-1874 [Full text]  
• Brindle, P., May, M. (2002). Commentary: The prediction of coronary heart disease risk in individuals-- an imprecise science. Int J Epidemiol 31: 822-824 [Full text]  
• Brindle, P., Fahey, T. (2002). Primary prevention of coronary heart disease. BMJ 325: 56-57 [Full text]  
• Brindle, P., Fahey, T., Ebrahim, S. (2002). New score is needed to predict risk of coronary heart disease. BMJ 324: 1217-1217 [Full text]  
• (2002). How Accurate Is CAD-Risk Assessment in Primary Care?. Journal Watch Cardiology 2002: 4-4 [Full text]  

Rapid Responses:

Read all Rapid Responses

The primary role of efficacious physical semeiotics in heart diseases primary prevention.

Sergio Stagnaro
bmj.com, 22 Feb 2002 [Full text]

Dynamic complete CHD risk profiling for focused intervention

John M. Waddell, et al.
bmj.com, 24 Feb 2002 [Full text]

One tool to rule them all, one tool to bind them....

James R York
bmj.com, 26 Feb 2002 [Full text]

Automatic Data Capture and the Electronic Health Record

Alan G Begg
bmj.com, 28 Feb 2002 [Full text]

Predicting CHD risk in practice: is Framingham the ‘gold standard’?

Peter M Brindle
bmj.com, 13 Mar 2002 [Full text]

Paucity of information on coronary heart disease interventions

Julia A Critchley, et al.
bmj.com, 21 Mar 2002 [Full text]