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 .
Chronic care model and shared care in diabetes: randomized trial of an electronic decision support system.
OBJECTIVE To assess the effect of a specialist telemedicine intervention for improving diabetes care using the chronic care model ( CCM ) . PARTICIPANTS AND METHODS As part of the CCM , 97 primary care physicians at 6 primary care practice s in Rochester , MN , referred 639 patients to an on-site diabetes educator between July 1 , 2001 , and December 31 , 2003 . On first referral , physicians were central ly r and omized to receive a telemedicine intervention ( specialty advice and evidence -based messages regarding medication management for cardiovascular risk ) or no intervention , keeping outcome assessors and data analysts blinded to group assignment . After each subsequent clinical encounter , endocrinologists review ed an abstract from the patient 's electronic medical record and provided management recommendations and supporting evidence to intervention physicians via e-mail . Control physicians received e-mail with periodic generic information about cardiovascular risk reduction in diabetes . Outcome measures included diabetes care processes ( diabetes test completion ) , outcomes ( metabolic and cardiovascular risk factors , estimated coronary artery disease risk ) , and patient costs ( payer perspective ) . RESULTS During the intervention , 951 ( 70 % ) of the 1361 endocrinology review s detected performance gaps and result ed in a message ; primary care physicians reported using 49 % of messages in patient care . With a mean of 21 months ' follow-up , the intervention , compared with control , did not significantly enhance metabolic outcomes or reduce estimated risk of coronary artery disease ( adjusted mean difference , -1 % ; 95 % confidence interval , -19 % to 17 % ) . The intervention group incurred lower costs ( P=.02 ) but not in diabetes-related costs . CONCLUSION Specialty telemedicine did not significantly enhance the value of CCM in primary care
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 .