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 .
Web-Based Targeted Nutrition Counselling and Social Support for Patients at Increased Cardiovascular Risk in General Practice: Randomized Controlled Trial
Background Using the Internet may prove useful in providing nutrition counselling and social support for patients with chronic diseases . Objective We evaluated the impact of Web-based nutrition counselling and social support on social support measures , anthropometry , blood pressure , and serum cholesterol in patients at increased cardiovascular risk . Methods We conducted a r and omized controlled trial among patients with increased cardiovascular risk in Canadian family practice s. During 8 months , patients in the intervention group and control groups received usual care . Patients in the intervention group also had access to a Web-based nutrition counselling and social support tool ( Heartweb ) . Site use during the study was monitored . We measured social support , body mass index , waist/hip ratio , blood pressure , and cholesterol levels at baseline and at 4 and 8 months to assess the effectiveness of the intervention . Results We r and omized 146 patients into the Web-based intervention ( n=73 ) or the control group ( n=73 ) . Within the Web-based intervention group , Heartweb was used by only 33 % ( 24/73 ) of patients , with users being significantly younger than nonusers ( P=.03 ) . There were no statistically significant differences between the intervention group and the control group in changes in social support , anthropometry , blood pressure , and serum cholesterol levels . Conclusions Uptake of the Web-based intervention was low . This study showed no favourable effects of a Web-based nutrition counselling and social support intervention on social support , anthropometry , blood pressure , and serum cholesterol . Improvements in reach and frequency of site use are needed to increase the 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 .