Hypercholesterolemia Clinical Trial
Official title:
Management of Hypercholesterolemia Utilizing a Case Management System, Incorporating Computer-Based Decision Support Technology
Employing a physician-directed case management system, utilizing a Certified Registered Nurse Practitioner (CRNP) in conjunction with computer-based decision support technology (CDST) will result in significantly lower total cholesterol and a lower low density lipoprotein cholesterol in a group of subjects enrolled in a general medical clinic compared to subjects managed by primary care providers in the usual care group.
Atherosclerosis affects 7 million patients and causes approximately 50% of all deaths in the
United States. A reduction in modifiable risk factors (especially smoking, hypertension and
hypercholesterolemia) is associated with a 30% reduction in acute coronary events.
Clinically, fewer than 25% of patients achieve this degree of risk reduction because of
significant barriers to implementation of effective risk reduction programs and wide
variance in the management of hypercholesterolemia.
Recognition that a physician-directed case management system utilizing a certified
registered nurse practitioner (CRNP) and computer-based decision support technology (CDST)
offers the potential to implement disease management guidelines consistently and effectively
is the impetus for this project. This project will demonstrate that enhanced compliance with
the National Cholesterol Education Program (NCEP) guidelines can be achieved in a randomized
trial conducted in subjects enrolled in a general medical clinic. The way in which
hyperlipidemia will be managed is determined by randomization of the PCP providers to either
the usual care group or to the intervention group, in which the management of subjects is
delegated to the CRNP in conjunction with the CDST, under the supervision of the physician-
investigators. Approximately 220 hypercholesterolemic subjects who are eligible for risk
reduction according to NCEP guidelines will be recruited in equal numbers from subjects
enrolled in the primary care clinic, beginning in 2005.
The physician-directed case management system employed in this project utilizes a management
algorithm for lowering LDL-C cholesterol to the goal of less than 70 mg%. Stepwise increases
in simvastatin dose to a maximum of 80 mg/day are used. Surveillance of symptoms and
laboratory data to detect adverse side effects of the intervention precedes each increase in
simvastatin dose. The CRNP will implement the management algorithm and concentrate on
subject adherence, which is judged to be an important element in promoting compliance. The
CRNP will initiate contact with the subject whenever a decision point is reached in the
treatment algorithm, a deviation from the management algorithm occurs or an adverse reaction
is detected. The case management model has been shown to be effective in achieving treatment
goals in conditions such as hypercholesterolemia and diabetes mellitus.
This study will test hypothesis I, that employing a physician-directed case management
system, utilizing a Certified Registered Nurse Practitioner (CRNP) in conjunction with
computer-based decision support technology (CDST) will result in significantly lower total
cholesterol and a lower low density lipoprotein cholesterol in a group of subjects enrolled
in a general medical clinic compared to subjects managed by primary care providers in the
usual care group.
A secondary aim of the project is to establish that computer-based decision support
technology can be developed that will provide reliable clinical recommendations for the
management of type II hyperlipidemia. This proposition will be tested by hypothesis II, that
the computer-based decision technology provides advice for management of hyperlipidemia that
is comparable to that of a cardiologist in the same institution.
Our physician-directed case-management system is expected to enhance guideline compliance by
CDST monitoring of the subject�s compliance and cholesterol response to the management
algorithm, thus contributing to improved outcomes for patients.
;
Allocation: Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Single Group Assignment, Masking: Open Label, Primary Purpose: Treatment
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