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Currently, medical Internet resources are popular among the population of most countries, including Russia. So its can be used as a platform for mass measures of prevention.
Now we can receive a lot of information about socio-demographic characteristics, risk factors and the presence of chronic non-infectious diseases among users of medical Internet resources. And these knowledges are necessary to create effective online interventions for prevention of the most common diseases.
We have enough resources to identify and control risk factors for chronic non-infectious diseases. But adherence to doctor's recommendations remains at a low level. Working with cognitive biases is one of the points of application for increasing adherence to treatment and the rules of a healthy lifestyle.
Certain groups of patients have special cognitive biases. We assume that creation a typical portrait of a patient can reveal relationships and factors the variant of cognitive biases. This information may help to more effectively carry out preventive work with users of medical Internet resources, forming the correct patterns of perception and thereby improving adherence to the doctor's recommendations.
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Data sourced from clinicaltrials.gov
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