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Cardiovascular risk assessment and management in developing countries.

Shanthi Mendis1

  • 1Department of Chronic Diseases and Health Promotion, World Health Organization, Geneva, Switzerland. mendiss@who.int

Vascular Health and Risk Management
|February 27, 2007
PubMed
Summary

Developing countries face challenges in preventing cardiovascular disease. New risk prediction tools are needed to effectively manage cardiovascular risk in these populations.

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Area of Science:

  • Public Health
  • Epidemiology
  • Health Policy

Background:

  • Developing countries (DCs) are experiencing a significant rise in cardiovascular disease (CVD).
  • Effective CVD prevention strategies from developed countries are difficult to implement in DCs due to resource and infrastructure limitations.
  • Efficient resource allocation requires careful decisions on population versus high-risk interventions and intervention thresholds.

Purpose of the Study:

  • To address the challenges of implementing CVD prevention strategies in developing countries.
  • To explore the decision-making process for resource allocation in CVD prevention in DCs.
  • To highlight the need for adaptable risk prediction tools for non-Western populations.

Main Methods:

  • Review of existing CVD prevention strategies and their applicability in resource-limited settings.

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  • Analysis of decision-making factors for policy makers, including evidence, cost, and socio-political realities.
  • Examination of the limitations of current risk prediction systems in non-Western contexts.

    • Main Results:

    • Current risk prediction systems have limited applicability in DCs due to population differences and infrastructure constraints.
    • The World Health Organization (WHO) has developed a flexible CVD risk management package for less-resourced settings.
    • A new risk prediction tool tailored for DCs is under development.

    Conclusions:

    • Effective CVD prevention in DCs requires tailored strategies considering local contexts and resource availability.
    • Adaptable and accurate risk prediction tools are crucial for cost-effective high-risk interventions in DCs.
    • Further development and implementation of context-specific CVD risk management tools are essential.