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 .
Practice-linked online personal health records for type 2 diabetes mellitus: a randomized controlled trial.
BACKGROUND Web-based personal health records ( PHRs ) have been advocated as a means to improve type 2 diabetes mellitus ( DM ) care . However , few Web-based systems are linked directly to the electronic medical record ( EMR ) used by physicians . METHODS We r and omized 11 primary care practice s. Intervention practice s received access to a DM-specific PHR that imported clinical and medications data , provided patient-tailored decision support , and enabled the patient to author a " Diabetes Care Plan " for electronic su bmi ssion to their physician prior to upcoming appointments . Active control practice s received a PHR to up date and su bmi t family history and health maintenance information . All patients attending these practice s were encouraged to sign up for online access . RESULTS We enrolled 244 patients with DM ( 37 % of the eligible population with registered online access , 4 % of the overall population of patients with DM ) . Study participants were younger ( mean age , 56.1 years vs 60.3 years ; P < .001 ) and lived in higher-income neighborhoods ( median income , $ 53,784 vs $ 49,713 ; P < .001 ) but had similar baseline glycemic control compared with non participants . More patients in the intervention arm had their DM treatment regimens adjusted ( 53 % vs 15 % ; P < .001 ) compared with active controls . However , there were no significant differences in risk factor control between study arms after 1 year ( P = .53 ) . CONCLUSIONS Previsit use of online PHR linked to the EMR increased rates of DM-related medication adjustment . Low rates of online patient account registration and good baseline control among participants limited the intervention 's impact on overall risk factor control . TRIAL REGISTRATION clinical trials.gov Identifier : NCT00251875
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 .