PreventS-MD®: a New Digital Technology to Maintain Cardiovascular Prevention in Routine Clinical Practice

Cover Page

Cite item

Full Text

Abstract

Stroke, myocardial infarction (MI), and other main non-communicable diseases (NCDs) remain major causes of mortality and disability globally. Up to 80% of cardiovascular events and up to 60% of NCDs are associated with potentially controlled risk factors (RFs). State-of-the-art digital technologies can help bridge the gap between evidence-based prevention methods and their critically low availability in routine clinical practice.

An innovative digital platform named PreventS-MD® is a specially developed tool for healthcare professionals to be used under time constraints. With PreventS-MD®, clinicians can estimate patient's 10-year cardiovascular risk within several minutes. Then, they automatically get adapted results and recommendations to address identified RFs as well as graphical representation of specific RF contribution to overall stroke and MI risks. If some additional time is available, the clinician and the patient can collaboratively set customized achievable goals to correct modifiable RFs. An integrated analytical module provides healthcare managers with current digital risk profiles of the relevant population to evaluate prevention effectiveness and to forecast the load throughout the healthcare levels.

PreventS-MD® has several unique advantages, including time-saving design, the function to activate motivated RF correction, individually tailored recommendations, and information on personally changed digital profiles of vascular risks. As cardiovascular diseases and main NCDs have a lot of common RFs, PreventS-MD® implemented into routine clinical practice will utilize a complex approach to the prevention of main NCDs, decreasing both stroke and MI burden and addressing complications of chronic pulmonary and kidney disease, tumors of any type, dementia, etc.

About the authors

Mikhail A. Kravchenko

Research Center of Neurology

Author for correspondence.
Email: kravchenko@neurology.ru
ORCID iD: 0000-0001-5187-5518

Cand. Sci. (Med.), senior researcher, Institute of Medical Education and Professional Development

Russian Federation, Moscow

Elena V. Gnedovskaya

Research Center of Neurology

Email: kravchenko@neurology.ru
ORCID iD: 0000-0001-6026-3388

D. Sci. (Med.), Director, Institute of Medical Education and Professional Development

Russian Federation, Moscow

Valery L. Feigin

Research Center of Neurology; Auckland University of Technology

Email: kravchenko@neurology.ru
ORCID iD: 0000-0002-6372-1740

D. Sci. (Med.), Foreign member of the Russian Academy of Sciences, mail researcher, Director, National Institute of Stroke and Applied Neuroscience

Russian Federation, Moscow; Auckland, New Zealand

Mikhail A. Piradov

Research Center of Neurology

Email: kravchenko@neurology.ru
ORCID iD: 0000-0002-6338-0392

D. Sci. (Med.), Academician of the Russian Academy of Sciences, Director

Russian Federation, Moscow

References

  1. Рассказова Е.И. Понятие саморегуляции в психологии здоровья: новый подход или область применения. Теоретическая и экспериментальная психология. 2014;7(1):43–56. Rasskazova E.I. The concept of self-regulation in health psychology: a new approach or scope. Theoretical and experimental psychology. 2014;7(1):43–56.
  2. Рассказова Е.И., Иванова Т.Ю. Мотивационные модели поведения, связанного со здоровьем: проблема разрыва между намерением и действием. Психология. Журнал Высшей школы экономики. 2015;12(1):105–130. Rasskazova E.I., Ivanova T.Yu. Motivational behaviors related to health: the problem of the gap between intention and action. Psychology. Journal of the Higher School of Economics. 2015;12(1):105–130.
  3. Фейгин В.Л., Варакин Ю.Я., Кравченко М.А. и др. Новый подход к профилактике инсульта в России. Анналы клинической и экспериментальной неврологии. 2017;9(4):19–23. Fejgin V.L., Varakin Yu.Ya., Kravchenko M.A et al. A new approach for stroke prevention in Russia. Annals of clinical and experimental neurology. 2017;9(4):19–23. doi: 10.17816/psaic84
  4. Медик В.А., Осипов А.М. Общественное здоровье и здравоохранение: медико-социологический анализ. М.; 2012. Medik V.A., Osipov A.M. Public health and healthcare: a medical and sociological analysis. Moscow; 2012.
  5. Burack R.C. Barriers to clinical preventive medicine. Prim. Care. 1989;16(1):245–250.
  6. Eriksen C.U., Rotar O., Toft U.N. What is the effectiveness of systematic population-level screening programmes for reducing the burden of cardiovascular disease? WHO Regional Office for Europe, 2021.
  7. Gmeinder M., Morgan D., Mueller M. How much do OECD countries spend on prevention? Organisation for Economic Co-Operation and Development; 2017. doi: 10.1787/18152015
  8. Kottke T.E., Brekke M.L., Solberg L.I. Making "time" for preventive services. Mayo Clin. Proc. 1993;68(8):85–91. doi: 10.1016/s0025-6196(12)60638-7
  9. McPhee S.J., Richard R.J., Solkowitz S.N. Performance of cancer screening in a university general internal medicine practice: comparison with the 1980 American Cancer Society Guidelines. J. Gen. Intern. Med. 1986;1(5):275–281.
  10. Spitz M.R., Chamberlain R.M., Sider J.G. et al. Cancer prevention practices among Texas primary care physicians. J. Cancer Educ. 1992;7(1):55–60. doi: 10.1080/08858199209528142
  11. Wender R.C. Cancer screening and prevention in primary care. Obstacles for physicians. Cancer. 1993;72(3 Suppl):1093–1099. doi: 10.1002/1097-0142(19930801)72:3+<1093::aid-cncr2820721326>3.0.co;2-b
  12. Feigin V.L., Krishnamurthi R., Medvedev O. et al. Usability and feasibility of PreventS-MD web app for stroke prevention. Int. J. Stroke. 2024;19(1):94–104. doi: 10.1177/17474930231190745
  13. Feigin V.L., Martins S.C., Brainin M. et al. Twenty years on from the introduction of the high risk strategy for stroke and cardiovascular disease prevention: a systematic scoping review. Eur. J. Neurol.2024;31(3):e16157. doi: 10.1111/ene.16157
  14. Parmar P., Krishnamurthi R., Ikram M.A. et al. The Stroke RiskometerTM App: Validation of a data collection tool and stroke risk predictor. Int. J. Stroke. 2015;10(2):231–244. doi: 10.1111/ijs.12411
  15. Feigin V.L., Norrving B., Mensah G.A. Primary prevention of cardiovascular disease through population-wide motivational strategies: insights from using smartphones in stroke prevention. BMJ Glob. Health.2016;2(2):e000306. doi: 10.1136/bmjgh-2017-000306
  16. Lloyd-Jones D.M., Hong Y., Labarthe D. et al. Defining and setting national goals for cardiovascular health promotion and disease reduction: the American Heart Association's strategic Impact Goal through 2020 and beyond. Circulation. 2010;121(4):586–613. doi: 10.1161/CIRCULATIONAHA.109.192703
  17. Ogunmoroti O., Allen N.B., Cushman M. et al. Association between Life's Simple 7 and noncardiovascular disease: the multi-ethnic study of atherosclerosis. J. Am. Heart Assoc. 2016;5(10):e003954. doi: 10.1161/JAHA.116.003954
  18. Wilson P.W., D'Agostino R.B., Levy D. et al. Prediction of coronary heart disease using risk factor categories. Circulation. 1998;97(18):1837–1847. doi: 10.1161/01.cir.97.18.1837

Supplementary files

Supplementary Files
Action
1. JATS XML
Download
2. Fig. 3. Healthy Living Rating for patients.

Download (840KB)
Indexing metadata
3. Fig. 1. PreventS-MD®'s main features.*

Download (859KB)
Indexing metadata
4. Fig. 2. Risk assessment output for professionals.

Download (502KB)
Indexing metadata
5. Fig. 3. Healthy Living Rating for patients.

Download (1MB)
Indexing metadata
6. Fig. 4. Individual relative RF contribution to the total stroke risk.

Download (268KB)
Indexing metadata
7. Fig. 5. Relative risks of other significant NCDs.

Download (448KB)
Indexing metadata
8. Fig. 6. Changes in the individual SBP levels.

Download (271KB)
Indexing metadata
9. Fig. 7. Recommendation that emphasizes the importance of good treatment adherence.

Download (903KB)
Indexing metadata
10. Fig. 8. Prevalence of risk factors represented in an analytical module.

Download (339KB)
Indexing metadata

Copyright (c) 2024 Kravchenko M.A., Gnedovskaya E.V., Feigin V.L., Piradov M.A.

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies