There was mixed evidence that provider-level computerized decision support improves outcomes .
There was more evidence in support of patient-level tools that provide connectivity to the healthcare system , as well as system-level interventions that involve data base monitoring and outreach by central ized care teams .
R and omized controlled trials show wide variability in the effects of HIT on lipid management outcomes .
Evidence suggests that multilevel HIT approaches that target not only providers but include patients and systems approaches will be needed to improve lipid treatment , adherence and quality
BACKGROUND Large gaps in lipid treatment and medication adherence persist in high-risk out patients in the United States .
Health information technology ( HIT ) is being applied to close quality gaps in chronic illness care , but its utility for lipid management has not been widely studied .
OBJECTIVE To perform a qualitative review of the impact of HIT interventions on lipid management processes of care ( screening or testing ; drug initiation , titration or adherence ; or referrals ) or clinical outcomes ( percent at low density lipoprotein cholesterol goal ; absolute lipid levels ; absolute risk scores ; or cardiac hospitalizations ) in out patients with coronary heart disease or at increased risk .
A novel programme to evaluate and communicate 10-year risk of CHD reduces predicted risk and improves patients' modifiable risk factor profile
Aims We assessed whether a novel programme to evaluate/communicate predicted coronary heart disease ( CHD ) risk could lower patients ' predicted Framingham CHD risk vs. usual care . Methods The Risk Evaluation and Communication Health Outcomes and Utilization Trial was a prospect i ve , controlled , cluster-r and omised trial in nine European countries , among patients at moderate cardiovascular risk . Following baseline assessment s , physicians in the intervention group calculated patients ' predicted CHD risk and were instructed to advise patients according to a risk evaluation/communication programme . Usual care physicians did not calculate patients ' risk and provided usual care only . The primary end-point was Framingham 10-year CHD risk at 6 months with intervention vs. usual care . Results Of 1103 patients across 100 sites , 524 patients receiving intervention , and 461 receiving usual care , were analysed for efficacy . After 6 months , mean predicted risks were 12.5 % with intervention , and 13.7 % with usual care [ odds ratio = 0.896 ; p = 0.001 , adjusted for risk at baseline ( 17.2 % intervention ; 16.9 % usual care ) and other covariates ] . The proportion of patients achieving both blood pressure and low-density lipoprotein cholesterol targets was significantly higher with intervention ( 25.4 % ) than usual care ( 14.1 % ; p < 0.001 ) , and 29.3 % of smokers in the intervention group quit smoking vs. 21.4 % of those receiving usual care ( p = 0.04 ) . Conclusions A physician-implemented CHD risk evaluation/communication programme improved patients ' modifiable risk factor profile , and lowered predicted CHD risk compared with usual care . By combining this strategy with more intensive treatment to reduce residual modifiable risk , we believe that substantial improvements in cardiovascular disease prevention could be achieved in clinical practice
There was mixed evidence that provider-level computerized decision support improves outcomes .
There was more evidence in support of patient-level tools that provide connectivity to the healthcare system , as well as system-level interventions that involve data base monitoring and outreach by central ized care teams .
R and omized controlled trials show wide variability in the effects of HIT on lipid management outcomes .
Evidence suggests that multilevel HIT approaches that target not only providers but include patients and systems approaches will be needed to improve lipid treatment , adherence and quality
BACKGROUND Large gaps in lipid treatment and medication adherence persist in high-risk out patients in the United States .
Health information technology ( HIT ) is being applied to close quality gaps in chronic illness care , but its utility for lipid management has not been widely studied .
OBJECTIVE To perform a qualitative review of the impact of HIT interventions on lipid management processes of care ( screening or testing ; drug initiation , titration or adherence ; or referrals ) or clinical outcomes ( percent at low density lipoprotein cholesterol goal ; absolute lipid levels ; absolute risk scores ; or cardiac hospitalizations ) in out patients with coronary heart disease or at increased risk .