Cardiovascular Diseases Clinical Trial
Official title:
Effectiveness of an Intervention to Improve the Adequacy of the Indication of Lipid Lowering Treatment in Primary Prevention: Randomized Clinical Trial
OBJECTIVE: To evaluate the impact of an intervention addressed to health professionals to
improve the adequacy of lipid-lowering prescription in primary prevention of cardiovascular
disease and reducing expenditure in this respect.
DESIGN: a cluster randomized clinical trial, not blind; Data were obtained from medical
records and other primary care databases.
SETTING: 279 primary health care teams in Catalonia (Spain), centers managed by Catalan
Health Institute (ICS)
SUBJECTS: Population from 35 to 74 years, free of cardiovascular disease, who have been
started on lipid-lowering therapy during 2 consecutive years of study.
INTERVENTION: Practitioners in the intervention group may have access, whenever they want
and through the computerized medical record program, to personalized information on their
assigned patients who have started treatment of cardiovascular primary prevention with
lipid-lowering. This information is updated monthly for 12 consecutive months.Information
will be presented in two different and complementary ways to each practitioner: asynchronous
information (the patient is not present when the practitioner receives the information) and
synchronous information (the patient is present when the practitioner receives the
information).
VARIABLES:
1. Primary Outcomes are:
- Variable RETIRA: new lipid-lowering treatments initiated during the year prior to
the intervention, seen as inadequate and withdrawn during the intervention period.
- Variable EVITA: New lipid-lowering treatments started during the intervention
period and considered as inadequate.
2. Secondary Outcomes are:
- Variable COST: total cost of the inadequate new lipid-lowering treatments.
- Variable RECORD: recording of the cardiovascular risk.
2.Other variables:
- Principal: intervention/control group assignment of health professional.
- Patient variables: demographic and clinical.
- Professional variables: quality of care indicators.
STATISTICAL ANALYSIS: Descriptive analysis, agreggated at health professional level, will be
performed and subsequently multilevel analysis techniques will be used to estimate the
effect of intervention according to hierarchic data structure and, in particular, patient
variables effect.
n/a
Allocation: Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Parallel Assignment, Masking: Open Label, Primary Purpose: Health Services Research
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