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Annals of family medicine · Nov 2011
Randomized Controlled TrialTranslating cholesterol guidelines into primary care practice: a multimodal cluster randomized trial.
- Charles B Eaton, Donna R Parker, Jeffrey Borkan, Jerome McMurray, Mary B Roberts, Bing Lu, Roberta Goldman, and David K Ahern.
- Department of Family Medicine, Alpert Medical School of Brown University, Providence, Rhode Island, USA. Charles_Eaton@mhri.org
- Ann Fam Med. 2011 Nov 1; 9 (6): 528-37.
AbstractPURPOSE We wanted to determine whether an intervention based on patient activation and a physician decision support tool was more effective than usual care for improving adherence to National Cholesterol Education Program guidelines. METHODS A 1-year cluster randomized controlled trial was performed using 30 primary care practices (4,105 patients) in southeastern New England. The main outcome was the percentage of patients screened for hyperlipidemia and treated to their low-density lipoprotein (LDL) and non-high-density lipoprotein (HDL) cholesterol goals. RESULTS After 1 year of intervention, both randomized practice groups improved screening (89% screened), and 74% of patients in both groups were at their LDL and non-HDL cholesterol goals (P <.001). Using intent-to-treat analysis, we found no statistically significant differences between practice groups in screening or percentage of patients who achieved LDL and non-HDL cholesterol goals. Post hoc analysis showed practices who made high use of the patient activation kiosk were more likely to have patients screened (odds ratio [OR] = 2.54; 95% confidence interval [CI], 1.97-3.27) compared with those who made infrequent or no use. Additionally, physicians who made high use of decision support tools were more likely to have their patients at their LDL cholesterol goals (OR = 1.27; 95% CI, 1.07-1.50) and non-HDL goals (OR = 1.23; 95% CI, 1.04-1.46) than low-use or no-use physicians. CONCLUSION This study showed null results with the intent-to-treat analysis regarding the benefits of a patient activation and a decision support tool in improving cholesterol management in primary care practices. Post hoc analysis showed a potential benefit in practices that used the e-health tools more frequently in screening and management of dyslipidemia. Further research on how to incorporate and increase adoption of user-friendly, patient-centered e-health tools to improve screening and management of chronic diseases and their risk factors is warranted.
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