The aim of this study is to identify and assess new health-associated risk factors,including clinical-pharmacological risk factors. The cohort is built usingtelecommunication approaches. The associations between clinical-pharmacological, social,demographic, behavioral, and environmental characteristics will be assessed. Thecontinuous depersonalized online survey is performed using the original informationalresources in the form of specially designed web-site aimed at identification andassessment of population-based pharmacotherapy patterns including characteristics ofself-medication, biologically active food supplement intake, polypharmacy, and adversedrug-drug interactions in the people residing in the ecological conditions of variousregions of the country. The invitations to participate in the online survey are sent viathe SMS messages using the SMS-Target tool provided by OOO T2 Mobile Company. The surveyis performed online at www.zdorov.tpu.ru and www.zdorov.expert both specifically designedfor questionnaire publication and data accumulation.
Polypharmacy-associated serious drug-drug interactions and adverse drug reactions may
increase the risk of morbidity and mortality in the population, especially in
cardiovascular patients. Insufficient patient compliance to treatment and potential
self-medication overlap with behavioral, psychosocial, demographic, and environmental
conditions and pose new challenges for the population striving to achieve active
longevity. These issues have been especially relevant during and after the COVID-19
pandemic. The aim of this study is to identify and assess new health-associated risk
factors, including clinical-pharmacological risk factors. Telecommunication approaches
are used for the formation of study cohort. The associations between
clinical-pharmacological, social, demographic, behavioral, and environmental
characteristics of study cohort will be assessed. The continuous depersonalized online
survey is performed using the original informational resource in the form of specially
designed web-site aimed at identification and assessment of population-based
pharmacotherapy patterns including characteristics of self-medication, biologically
active food supplement intake, polypharmacy, and adverse drug-drug interactions in the
people residing in the ecological conditions of various regions of the country. The
acquired data may lay a foundation for the development decision support system for
control of previously unrecognized or poorly recognized risk factors. The study will
enroll as least 2000 respondents aged 18 years and older. The invitations to participate
in the online survey are sent via the SMS messages using the SMS-Target tool provided by
OOO T2 Mobile Company. The survey is performed online at www.zdorov.tpu.ru and
www.zdorov.expert both specifically designed for questionnaire publication and data
accumulation. Both websites have built-in functionality for downloading survey results in
tabular format (.xls, .csv). All the respondents are required to sign the informed
consent form electronically according to local legislation and international standards of
ethical research. Considering that no physical medical examinations or interventions are
involved in the study, and all data undergo complete depersonalization, participation in
this study does not pose any risks for respondents. Financial support for the study is
provided by the Russian Science Foundation (project No. 22-15-00313). Respondents will
not be covered by insurance due to the non-interventional nature of the study.
Other: Online Survey
The participants of the study undergo the online survey at www.zdorov.tpu.ru and
www.zdorov.expert.
Other Name: Telecommunication-Based Survey
Diagnostic Test: Genetic Testing
Genetic testing will be performed in subgroup of survey respondents willing to
participate in the study of polymorphisms of genes involved in drug metabolism or
affecting biological effects of medications including CYP2D6, ACE, UGT1A1, CYP2C9, and
CYP2C19.
Other Name: Genetic Polymorphisms of Drug-Metabolizing Enzymes
Inclusion Criteria:
- age of 18 years and older
- signing the informed concent form online
- completion of the entire questionnaire
Exclusion Criteria:
- age under 18 years
- refuse to sign the informed concent form
Tomsk National Research Medical Center, Russian Academy of Sciences
Tomsk, Russian Federation
Investigator: Nina D Anfinogenova, PhD
Contact: +73822554111
anfiyj@gmail.com
Nina D Anfinogenova, PhD
+73822554111
anfiyj@gmail.com
Nina D Anfinogenova, PhD, Principal Investigator
Tomsk NRMC