The heterogeneity of the studies limited the analysis , but together they showed that provision of risk information to patients improved the accuracy of risk perception without decreasing quality of life or increasing anxiety , but had little effect on lifestyle .
There seems evidence that providing CVD risk model estimates to professionals and patients improves perceived CVD risk and medical prescribing , with little evidence of harm on psychological well-being
OBJECTIVE To systematic ally review whether the provision of information on cardiovascular disease ( CVD ) risk to healthcare professionals and patients impacts their decision-making , behaviour and ultimately patient health .
Can computerized risk profiles help patients improve their coronary risk? The results of the Coronary Health Assessment Study (CHAS).
BACKGROUND The Coronary Health Assessment Study ( CHAS ) was developed to determine the feasibility of using patient-specific , multifactorial computerized coronary risk profiles as a clinical decision aid to support primary prevention of CHD . METHODS Study participants included 253 community based physicians , r and omized into profile and control groups , and 958 of their patients . The profile group physicians received coronary risk profiles for their patients within 10 working days after the baseline patient assessment providing early feedback . The control group received their profiles only if the patient was clinical ly reevaluated during a 3-month follow-up visit . Patients ' coronary risk factors were evaluated at baseline and at follow-up . RESULTS The profile group had a significantly higher ( P < 0.05 ) ratio of high-risk/low-risk patients who returned for a follow-up visit compared to the control group ( 1.23 vs 0.77 ) . The patients in the profile group also had significantly ( P < 0.05 ) greater mean reductions in total cholesterol ( -0.5 vs -0.1 mmol/L ) , LDL cholesterol ( -0.4 vs 0.0 mmol/L ) , the total cholesterol/ HDL ratio ( -0.6 vs -0.2 ) , and the predicted 8-year coronary risk ( -1.8 vs -0.3 % ) . CONCLUSIONS Computer-generated coronary risk profiles can be effective in assisting physicians to identify high-risk patients . Their use is also associated with significantly greater improvements in the serum lipid profiles and the overall coronary risk of these patients
The heterogeneity of the studies limited the analysis , but together they showed that provision of risk information to patients improved the accuracy of risk perception without decreasing quality of life or increasing anxiety , but had little effect on lifestyle .
There seems evidence that providing CVD risk model estimates to professionals and patients improves perceived CVD risk and medical prescribing , with little evidence of harm on psychological well-being
OBJECTIVE To systematic ally review whether the provision of information on cardiovascular disease ( CVD ) risk to healthcare professionals and patients impacts their decision-making , behaviour and ultimately patient health .