Results were inconsistent for changes in CVD risk factors such as systolic and diastolic blood pressure , total and low-density lipoprotein cholesterol , and hemoglobin A1C levels .
CONCLUSIONS CDSSs are effective in improving clinician practice s related to screening and other preventive care services , clinical tests , and treatments .
CONTEXT Clinical decision support systems ( CDSSs ) can help clinicians assess cardiovascular disease ( CVD ) risk and manage CVD risk factors by providing tailored assessment s and treatment recommendations based on individual patient data .
The goal of this systematic review was to examine the effectiveness of CDSSs in improving screening for CVD risk factors , practice s for CVD-related preventive care services such as clinical tests and prescribed treatments , and management of CVD risk factors .
Actionable reminders did not improve performance over passive reminders for overdue tests in the primary care setting
Actionable reminders ( electronic reminders linked to computerized order entry ) might improve care by facilitating direct ordering of recommended tests . The authors implemented four enhanced actionable reminders targeting performance of annual mammography , one-time bone-density screening , and diabetic testing . There was no difference in rates of appropriate testing between the four intervention and four matched , control primary care clinics for screening mammography ( OR 0.81 , 95 % CI 0.64 to 1.02 ) , bone-density exams ( OR 1.29 , 95 % CI 0.82 to 2.02 ) , HbA1c monitoring ( OR 0.91 , 95 % CI 0.58 to 1.42 ) and LDL cholesterol monitoring ( OR 1.40 , 95 % CI 0.76 to 2.59 ) . Of the survey respondents , 79 % almost never used the system or were unaware of the functionality . In the 9/228 ( 3.9 % ) cases with indirect evidence of mammography reminder use , there was a significantly lower proportion with test performance . Our actionable reminders did not improve receipt of overdue testing , potentially due to limitations of workflow integration
Results were inconsistent for changes in CVD risk factors such as systolic and diastolic blood pressure , total and low-density lipoprotein cholesterol , and hemoglobin A1C levels .
CONCLUSIONS CDSSs are effective in improving clinician practice s related to screening and other preventive care services , clinical tests , and treatments .
CONTEXT Clinical decision support systems ( CDSSs ) can help clinicians assess cardiovascular disease ( CVD ) risk and manage CVD risk factors by providing tailored assessment s and treatment recommendations based on individual patient data .
The goal of this systematic review was to examine the effectiveness of CDSSs in improving screening for CVD risk factors , practice s for CVD-related preventive care services such as clinical tests and prescribed treatments , and management of CVD risk factors .