Translating cholesterol guidelines into primary care practice: a multimodal cluster randomized trial.
PURPOSE 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...
| Publicado en: | Annals of Family Medicine Vol. 9; no. 6; pp. 528 - 538 |
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| Autores principales: | , , , , , , , , , , , , , , , |
| Formato: | research randomized controlled trial Journal Article |
| Publicado: |
Annals of Family Medicine
Nov/Dec2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104598145&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104598145 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15441709 QMD jtl: Annals of Family Medicine issn: 15441709 maglogo: N pubinfo: dt: Nov/Dec2011 vid: 9 iid: 6 pid: 15913 pub: Annals of Family Medicine place: Leawood, Kansas artinfo: ui: 104598145 NLM22084264 2011362702 10.1370/afm.1297 NLM22084264 PMC3252191 104598145 ppf: 528 ppct: 10 formats: tig: atl: Translating cholesterol guidelines into primary care practice: a multimodal cluster randomized trial. aug: au: Eaton CB Parker DR Borkan J McMurray J Roberts MB Lu B Goldman R Ahern DK Eaton, Charles B Parker, Donna R Borkan, Jeffrey McMurray, Jerome Roberts, Mary B Lu, Bing Goldman, Roberta Ahern, David K affil: Department of Family Medicine, Alpert Medical School of Brown University, Providence, Rhode Island, USA sug: subj: Guideline Adherence Statistics and Numerical Data Health Screening Statistics and Numerical Data Hyperlipidemia Diagnosis Outcomes (Health Care) Primary Health Care Statistics and Numerical Data Adult Antilipemic Agents Therapeutic Use Computer-Assisted Instruction Computer Terminals Decision Support Systems, Clinical Utilization Female Human Hyperlipidemia Blood Hyperlipidemia Drug Therapy Lipoproteins, HDL Cholesterol Blood Lipoproteins, LDL Cholesterol Blood Male Middle Age New England Patient Education Practice Guidelines Practice Patterns Statistics and Numerical Data Randomized Controlled Trials Adult: 19-44 years Middle Aged: 45-64 years Female Male ab: PURPOSE 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. pubtype: Academic Journal doctype: research randomized controlled trial Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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