Abstract

For the prioritization of the allocation of national resources, estimating the burden of disease studies play a critical role. Hence the first Global Burden of Disease study conducted in the 1990s was done for this particular estimation. By the means of introducing disability-adjusted life year (DALY) metric, the burden of various diseases was calculated using disability weights (DWs)—a component of DALY. DWs are values that capture individuals' perception regarding the severity of diseases that involve valuation tools and health state descriptions. Various studies have been conducted over the past few decades to evaluate health states and derive disease-specific disability weights using Person-Trade off, Time-trade off, etc. However, use of these complex and cognitively demanding methods has been carried out in developed countries where the bulk of the populace is more educated. Few attempts have been made in low- and middle-income countries such as India, where not only the majority is less educated but also the social construction of diseases and health conditions are diverse. Therefore, due to the absence of methodological protocols of health state valuations for application at the community-level in the developing world, we attempted to systematically describe the procedure that can be used universally and cross-culturally for various health states. We began with the tentative selection of health states and health states valuation methods by conducting a meticulous literature review, followed by community exploration and medical consultations. This led to developing vignettes (clinical description) and 6D5L pictorial narrations (functional status description). Two field tests for checking the usability and refinement of the tools was done. Final consultation by an expert panel comprising of medical and non-medical professionals was held/conducted to finalize the health state labels and functional status profiles of each health state. The methodical approach provides a robust and thorough procedure for guiding researchers to implement health state valuation studies at community level.

Highlights

  • For the prioritization of health research and public health initiatives, donors and countries need concrete and reliable data in terms of burden of diseases, especially for the allocative efficiency of resources for vulnerable groups and evaluating interventions [1]

  • This paper describes the entire “Health State Valuation” process used for estimating the community-level Disability weights (DWs)

  • In the study we used Visual analog scale (VAS) or obtaining values used for computing community derived disability weights, which is a tested and validated methods used since the early 1990s

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Summary

INTRODUCTION

For the prioritization of health research and public health initiatives, donors and countries need concrete and reliable data in terms of burden of diseases, especially for the allocative efficiency of resources for vulnerable groups and evaluating interventions [1]. The GBD disability weights are not universal in nature as social and cultural contexts of health states were not accounted for in the GBD process [6] This is because the GBD valuers generally were educated professionals either from medical or health fields [7,8,9] and could participate in the cognitively demanding valuation methods [10,11,12]. India has been experiencing rapid epidemiological and demographic shift owing to the increase in aging population and structural changes in disease patterns [20] These changes, alongside the changing social context for various health states within the community, that occurred over the past two decades needed to be explored. This paper describes the entire “Health State Valuation” process used for estimating the community-level DWs

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