Responsible for Rheumatic Heart Disease and Its Severity Among the Bhutanese Population


Study Overview

  • This study involved 232 RHD patients from across Bhutan and aimed at understanding the socio-demographic factors contributing to RHD events.
  • Using multivariate and multinomial logistic regression models, the study identified significant predictors of RHD, including age, education level, frequency of hospital visits, and region.

Key Findings

  • Prevalence of RHD: RHD predominantly affects the younger population, particularly females, with 50% of patients aged 16-36 years.
  • Age and Severity: Age is a significant factor in the severity of RHD, with a quadratic relationship observed between age and severity levels.
  • Educational Impact: Higher education levels are linked to lower severity levels, with those having a bachelor’s degree less likely to develop severe RHD.
  • Regional Variations: RHD is more prevalent in central and eastern Bhutan, highlighting the need for targeted public health interventions in these regions.

Further Reading and Resources

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