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 .
The effects of a web-based intervention on the physical outcomes associated with diabetes among adults age 60 and older: a randomized trial.
BACKGROUND The emergence of the World Wide Web in the last decade has made it feasible for the Internet to be a vehicle for chronic disease management . METHODS A r and omized controlled trial ( n = 62 ) testing the effects of a 6-month web-based intervention plus usual care , compared with usual care alone , among adults 60 years of age and older with diabetes . The outcomes were hemoglobin A1c ( HbA1c ) , blood pressure , weight , cholesterol , and high-density lipoprotein ( HDL ) levels . RESULTS A multivariate analysis of covariance controlling for all baseline outcome variables , age , gender , and number of years with diabetes showed significant ( P = 0.001 ) reductions in HbA1c , weight , and cholesterol level and significant improvement in HDL levels in the intervention versus the control group . CONCLUSIONS Findings show a web-based intervention was effective in improving HbA1c , weight , cholesterol , and HDL levels at a 6-month follow-up . Future research is needed to investigate the long-term effectiveness of web-based interventions
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 .