Modelling multi-vector cardiovascular disease prevention programs under war conditions as a public health issue
PDF (Українська)

Keywords

health care management
biostatistics
primary health care
intersectoral collaboration
humanitarian crisis
psychosocial stress

How to Cite

Nesterenko, V., Ohniev, V., Tregub, P., Nesterenko, R., & Shevchenko, A. (2026). Modelling multi-vector cardiovascular disease prevention programs under war conditions as a public health issue. Medicine Today and Tomorrow, 95(1). https://doi.org/10.35339/msz.2026.95.1.not

Abstract

In press

Background. The morbidity and mortality from cardiovascular diseases (CVD) in Ukraine exceed the European average. The situation has worsened as a result of the full-scale invasion. The destruction of medical infrastructure, mass population migration, disruptions in the supply of medicines, and psycho-emotional stress have increased risks and rendered traditional prevention approaches ineffective.

Aim. Development of scientific foundations and an organizational model for comprehensive prevention of cardiovascular diseases among high-risk patients in ukraine under wartime conditions.

Materials and Methods. Systems analysis, structural-logical modeling, bibliosemantic, and comparative-historical methods were used. Official statistics, international guidelines, and World Health Organization reports were analyzed. The research was conducted as a private initiative of the authors, without state funding or grant support.

Research Ethics. The study did not involve direct patient engagement or the collection of personal medical data; therefore, obtaining ethics committee approval was not required.

Results. Based on a critical analysis of the shortcomings of the pre-war system and new wartime challenges, a conceptual multivector adaptive model for CVD prevention has been proposed. Its core consists of three interrelated components: digital infrastructure and telemedicine (to overcome geographical barriers), strengthened and transformed primary healthcare (as a coordination center), and public health measures with intersectoral coordination. The model includes a risk monitoring mechanism. The organizational model has a three-tier management structure that combines national, regional, and local levels of coordination. A key role in its operation is played by a data collection and analysis platform that integrates information from telemedicine systems, primary care institutions, inpatient facilities, and public health programs.

Conclusions. The proposed model is a response to the specific challenges of the hybrid crisis in Ukraine. It shifts the paradigm from hospital-centric to community-centric and proactive, relying on digital solutions and strong intersectoral partnership. Key conditions for its implementation are the development of digital infrastructure, adaptation of protocols, personnel training, and resource provision.

Keywords: health care management, biostatistics, primary health care, intersectoral collaboration, humanitarian crisis, psychosocial stress.

https://doi.org/10.35339/msz.2026.95.1.not
PDF (Українська)

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