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TB data for 2015 were combined with cost data using a simple type of cost-benefit analysis in a decision tree model to show the economic burden under different scenarios. In Indonesia, there were an estimated 1, 017,378 new active TB cases in 2015, including multidrug-resistant TB. It is estimated that 417,976 of these cases would be treated and cured, 160,830 would be unsuccessfully treated and would die, 131,571 would be untreated and would achieve cure spontaneously, and 307,000 would be untreated and would die. The total economic burden related to treated and untreated cases would be approximately US$6.9 billion. Loss of productivity due to premature death would be by far the largest element, comprising US$6.0 billion (discounted), which represents 86.6% of the total cost. Loss of productivity due to illness would be US$700 million (10.1%), provider medical costs US$156 million (2.2%), and direct non-medical costs incurred by patients and their households US$74 million (1.1%). The economic burden of TB in Indonesia is extremely high. Detecting and treating more cases would result not only in major reductions in suffering but also in economic savings to society.

The community-based health insurance (CBHI) scheme launched by the Government of Rwanda (GoR) reached 91% of the population in 2010, starting from 7% in 2003. Initially, all CBHI members paid the same fees, regardless of their personal income, and the poorest citizens faced challenges in paying premiums (almost US$1.50 per person). A mechanism was thus urgently needed to guarantee access to health care for the most vulnerable and promote equity among members. The GoR decided to introduce a stratification system based on the socioeconomic status of the population. Together with partners, including the Integrated Health Systems Strengthening Project (IHSSP), the GoR developed a national database that stratifies Rwandan citizens by income. To date, more than 10 million residents’ records, representing 96% of Rwanda’s population, have been entered into the database. This database helped identify the most vulnerable based on socioeconomic status (about 25% of the population). Identification of the poorest among the population has allowed an increase in CBHI funds due to identification of individuals who have a greater capacity to pay. The database thus improved the financial viability and management capacity of the CBHI scheme.

To determine if children presenting without complaints related to the Integrated Management of Childhood Illness (IMCI) are at greater risk for suboptimal screening for IMCI conditions, we randomly sampled and observed 3072 sick child visits in 33 provinces of Afghanistan. The study indicated that children with non-IMCI complaints are at greater risk of suboptimal screening compared to children with IMCI-related complaints. We concluded that facility and provider capacity needs to be improved, particularly during training, supervision and guideline dissemination, to ensure that all children receive routine screening for common IMCI conditions.


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