Coronary Disease, Myocardial Infarction
Conditions
Keywords
Acute Myocardial Infarction, Diabetes Mellitus, Renal Dialysis, Heart Attack, Coronary Heart Disease
Brief summary
The purpose of the study is to examine ways in which a clinical information system can help patients better recognize the signs and symptoms of an acute myocardial infarction (heart attack) and to take actions to decrease morbidity and mortality that may be related to delay in seeking treatment. The software-based intervention will use the best scientific evidence to create tailored strategies using a patient's specific health data. This approach is based on well-established cognitive and behavioral educational models.
Interventions
BEHAVIORALTailored Education Messages
Sponsors
National Library of Medicine (NLM)
Study design
Allocation
RANDOMIZED
Masking
DOUBLE
Eligibility
Sex/Gender
ALL
Age
30 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Patients at high-risk for an acute myocardial infarction, including any 2 of these risk factors: males age \> 45; females age \>55; family history of premature coronary heart disease (CHD); current cigarette smoker; hypertension; or elevated total cholesterol with low HDL and/or high LDL. OR have: * Active angina (chest pain due to coronary heart disease) * History of coronary heart disease according to the treating physician * Past history of myocardial infarction documented by electrocardiogram or arteriography * Diabetes Mellitus * Renal dialysis
Exclusion criteria
* Hospitalization within previous 4 weeks * Persons living in a home with previously enrolled patients * Patients disoriented to person, place, or time at onset of study
Countries
United States
Outcome results
None listed