Among CVRM patients , the results tended towards a beneficial effect of CDSS , but only LDL-c target attainment in diabetes patients reached statistical significance .
Prompting , integration into the electronical health record , patient empowerment , and medication support were related to more effective CVRM .
Conclusion We did not find a clear clinical benefit from CDSS in cardiovascular risk factor levels and target attainment .
Some features of CDSS seem more promising than others .
Clinical relevance of CDSS in CVRM might additionally be sought in the improvement of shared decision making and patient empowerment
Background Cardiovascular risk management ( CVRM ) is notoriously difficult because of multi-morbidity and the different phenotypes and severities of cardiovascular disease .
Computerized decision support systems ( CDSS ) enable the clinician to integrate the latest scientific evidence and patient information into tailored strategies .
The effect on cardiovascular risk factor management is yet to be confirmed .
Impact of Computerized Decision Support on Blood Pressure Management and Control: A Randomized Controlled Trial
BACKGROUND We conducted a cluster r and omized controlled trial to examine the effectiveness of computerized decision support ( CDS ) design ed to improve hypertension care and outcomes in a racially diverse sample of primary care patients . METHODS We r and omized 2,027 adult patients receiving hypertension care in 14 primary care practice s to either 18 months of their physicians receiving CDS for each hypertensive patient or to usual care without computerized support for the control group .  We assessed prescribing of guideline -recommended drug therapy and levels of blood pressure control for patients in each group and examined if the effects of the intervention differed by patients ’ race/ethnicity using interaction terms . MEASUREMENTS AND MAIN RESULTS Rates of blood pressure control were 42 % at baseline and 46 % at the outcome visit with no significant differences between groups . After adjustment for patients ’ demographic and clinical characteristics , number of prior visits , and levels of baseline blood pressure control , there were no differences between intervention groups in the odds of outcome blood pressure control . The use of CDS to providers significantly improved Joint National Committee ( JNC ) guideline adherent medication prescribing compared to usual care ( 7 % versus 5 % , P < 0.001 ) ; the effects of the intervention remained after multivariable adjustment ( odds ratio [ OR ] 1.39 [ CI , 1.13–1.72 ] ) and the effects of the intervention did not differ by patients ’ race and ethnicity . CONCLUSIONS CDS improved appropriate medication prescribing with no improvement in disparities in care and overall blood pressure control . Future work focusing on improvement of these interventions and the study of other practical interventions to reduce disparities in hypertension-related outcomes is needed
Among CVRM patients , the results tended towards a beneficial effect of CDSS , but only LDL-c target attainment in diabetes patients reached statistical significance .
Prompting , integration into the electronical health record , patient empowerment , and medication support were related to more effective CVRM .
Conclusion We did not find a clear clinical benefit from CDSS in cardiovascular risk factor levels and target attainment .
Some features of CDSS seem more promising than others .
Clinical relevance of CDSS in CVRM might additionally be sought in the improvement of shared decision making and patient empowerment
Background Cardiovascular risk management ( CVRM ) is notoriously difficult because of multi-morbidity and the different phenotypes and severities of cardiovascular disease .
Computerized decision support systems ( CDSS ) enable the clinician to integrate the latest scientific evidence and patient information into tailored strategies .
The effect on cardiovascular risk factor management is yet to be confirmed .