↓ Skip to main content

Managing physician lipid management: a population wide, risk-based decision support approach

Overview of attention for article published in Israel Journal of Health Policy Research, July 2015
Altmetric Badge

Readers on

mendeley
11 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Managing physician lipid management: a population wide, risk-based decision support approach
Published in
Israel Journal of Health Policy Research, July 2015
DOI 10.1186/s13584-015-0032-9
Pubmed ID
Authors

Lisa V. Rubenstein

Abstract

Successful implementation of clinical guidelines for preventing complications of dyslipidemias has been an ongoing challenge. The article by Vinker and colleagues in this journal investigates the results of implementing risk-based guidelines for LDL (Low Density Lipoprotein) management in comparison to the prior approach of using the same LDL cutoff for patients at all levels of risk. Results show LDL levels dropped across the primary care population using the new risk-based approach, suggesting that clinical decision aids that link to individual patient characteristics, rather than promoting a universal target for all, may provide a particularly strong stimulus for changing provider and patient behavior. Results also challenge healthcare organizations, providers and patients to learn more about the pathway from guidelines to clinical reminders and from reminders to lower LDL levels and better population health.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 18%
Student > Ph. D. Student 2 18%
Student > Doctoral Student 1 9%
Student > Bachelor 1 9%
Researcher 1 9%
Other 1 9%
Unknown 3 27%
Readers by discipline Count As %
Medicine and Dentistry 3 27%
Nursing and Health Professions 2 18%
Pharmacology, Toxicology and Pharmaceutical Science 1 9%
Psychology 1 9%
Economics, Econometrics and Finance 1 9%
Other 0 0%
Unknown 3 27%