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 .
Improving Diabetes Care Among Patients Overdue for Recommended Testing: A Randomized Controlled Trial of Automated Telephone Outreach
OBJECTIVE The study 's objective was to assess the effects of automated telephone outreach with speech recognition ( ATO-SR ) on diabetes-related testing . RESEARCH DESIGN AND METHODS We identified 1,200 health plan members who were overdue for diabetes-related testing and r and omly allocated 600 to ATO-SR and 600 to usual care ( no intervention ) .  The intervention included three interactive calls encouraging recommended testing . The primary outcome was retinopathy testing , since this was the health plan 's principal goal . Tests for glycemia , hyperlipidemia , and nephropathy were secondary outcomes . RESULTS In total , 232 participants ( 39 % ) verbally responded to the calls . There was no difference between the intervention and the usual care groups in the primary outcome ( adjusted hazard ratio 0.93 [ 95 % CI 0.71–1.22 ] ) and no effect of the intervention on any of the secondary outcomes . CONCLUSIONS Fewer than 40 % of the patients r and omized to ATO-SR interacted verbally with the system . The intervention had no effect on the study 's outcomes
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 .