Workforce Cost Model for Expanding Congenital and Rheumatic Heart Disease Services in Kenya

Nelly-Ange T Kontchou1, Andrew W McCrary2, Kevin A Schulman3

  • 11 Harvard Medical School, Boston, MA, USA.

Insights

Scaling cardiac care in low- and middle-income countries (LMICs) requires understanding workforce needs. This study models the cost and staffing for cardiovascular services in Kenya, offering a framework for LMIC capacity building.

Area of Science:

  • Global Health
  • Cardiovascular Medicine
  • Health Workforce Planning

Background:

  • Cardiovascular disease (CVD) is the leading global cause of death, disproportionately affecting low- and middle-income countries (LMICs).
  • Effective CVD management in LMICs necessitates robust medical and surgical services.
  • This study focuses on Kenya as a model for scaling cardiac care in LMICs.

Purpose of the Study:

  • To model the workforce needs and associated costs for cardiovascular services in Kenya.
  • To provide an adaptable framework for other LMICs to assess and scale their cardiac provider workforce.

Main Methods:

  • A model was developed using epidemiological data from sub-Saharan Africa to estimate disease burden (congenital and rheumatic heart disease) in a simulated 1,000-person population.
  • Services modeled included clinic visits, echocardiograms, cardiac catheterizations (diagnostic and interventional), and heart surgery.
  • Costs were based on Kenyan public sector salaries, with sensitivity analyses performed on service duration and salaries.

Main Results:

  • An estimated 2.5 heart surgeries per 1,000 people annually are needed, costing US$526.
  • Total annual workforce cost for comprehensive cardiac services (including clinic visits, echocardiograms, and catheterizations) is US$899 per 1,000 people.
  • Kenya requires an estimated 196 full-time equivalent cardiac surgeons for its population, based on 2017 figures and public sector workforce productivity.

Conclusions:

  • A scalable model for cardiovascular service staffing, based on disease burden and workforce costs, has been presented.
  • This model facilitates local capacity building for essential cardiac care in LMICs.
Abstract

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