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Applying burden of disease methods in developing countries: A case study from Pakistan

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  • Hyder, A.A.
  • Morrow, R.H.

Abstract

Objectives. Disability-adjusted life-year (DALY) and healthy life-year (HeaLY) are composite indicators of disesase burden that combine mortality and, morbidity into a single measurement. This study examined the application of these methods in a developing country-to assess the loss of healthy life from prevalent conditions and their use in resource-poor national contexts. Methods A data set for Pakistan was constructed on the basis of 180 sources for population and disease parameters. The HeaLY approach was used to generate data on loss of healthy life from pre-mature mortality and disability in 1990, categorized by 58 conditions. Results. Childhood and infectious diseases were responsible for two thirds of the burden of disease in Pakistan. Condition-specific analysis revealed that chronic diseases and injuries were among the top 10 causes of HeaLY loss. Comparisson with regional estimates demonstrates consistency of disease trends in both communicable and chronic diseases. Conclusions. The burden of disease in countries such as Pakistan can be assessed by using composite indicators. The HeaLY method provides an explicit framework for national health information assessment. Obtaining disease- and population-based data of good quality is the main challenge for any method in the developing world.

Suggested Citation

  • Hyder, A.A. & Morrow, R.H., 2000. "Applying burden of disease methods in developing countries: A case study from Pakistan," American Journal of Public Health, American Public Health Association, vol. 90(8), pages 1235-1240.
  • Handle: RePEc:aph:ajpbhl:2000:90:8:1235-1240_0
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    Cited by:

    1. Hyder, Adnan Ali & Amach, Omar Hussein & Garg, Nitin & Labinjo, Mariam Temitope, 2006. "Estimating the burden of road traffic injuries among children and adolescents in urban South Asia," Health Policy, Elsevier, vol. 77(2), pages 129-139, July.
    2. Waseem Alam & Haiyan Wang & Amjad Pervez & Muhammad Safdar & Arshad Jamal & Meshal Almoshaogeh & Hassan M. Al-Ahmadi, 2024. "Analysis and Prediction of Risky Driving Behaviors Using Fuzzy Analytical Hierarchy Process and Machine Learning Techniques," Sustainability, MDPI, vol. 16(11), pages 1-27, May.
    3. Anne Maryse Pierre-Louis & Francisca Ayodeji Akala & Hadia Samaha Karam, 2004. "Public Health in the Middle East and North Africa : Meeting the Challenges of the Twenty-first Century," World Bank Publications - Books, The World Bank Group, number 15012.

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