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We calculated disability presence, severity and episodic scores for each domain and for the total HDQ scale.
We then calculated Disability Adjusted Life Years (DALYs) saved as the sum of the Years of Life Lost (YLL) and the Years Lost due to Disability (YLD) that would be saved for each HIV infection averted by each prevention intervention using published methods [ 11- 14].
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The earnings in these years then become the basis for calculating disability.
To calculate disability we used disability weights (DWs) from GBD2010 [34].
In order to calculate disability for this group, for whom we had no definitive diagnoses, we assumed a DW for the ictal state of 0.197, taking the DW for pMOH and adjusting it according to the relative headache intensities (ie, 0.223*2.6/2.95).
All previously published economic evaluations of IPTp-SP have used surrogate indicators of infant mortality, such as low birth weight and parasitemia or placental malaria as surrogate indicators of maternal morbidity and mortality to calculate disability adjusted life years (DALYs) [5] [9].
To calculate Disability Free Life Expectancy (DFLE) and Disability Life Expectancy (DLE) by smoking status two sources of data are required.
Clarification should be obtained about the nature and origin of the measures used to calculate disability adjusted life years (prevalence of disease, age at death and mortality, duration of disease) and how the disability weight for Chagas disease was computed.
This disability indicator was used to calculate disability-free life expectancy (LE) in years.
In addition, to calculate disability-free, disease-free and co-morbidity-free LE, we used WHO life tables.
Similarly, the prevalence of accident and injury related disability calculated using the disability adjusted life expectancy (DALE) is highest in sub-Saharan Africa and lowest in countries with established market economies [ 2].
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