Diabetes Res Clin Pract
December 2011
Introduction: Diabetes is an increasingly important condition globally and robust estimates of its prevalence are required for allocating resources.
Methods: Data sources from 1980 to April 2011 were sought and characterised. The Analytic Hierarchy Process (AHP) was used to select the most appropriate study or studies for each country, and estimates for countries without data were modelled.
Objective: To compare mortality burden estimates based on direct measurement of levels and causes in communities with indirect estimates based on combining health facility cause-specific mortality structures with community measurement of mortality levels.
Methods: Data from sentinel vital registration (SVR) with verbal autopsy (VA) were used to determine the cause-specific mortality burden at the community level in two areas of the United Republic of Tanzania. Proportional cause-specific mortality structures from health facilities were applied to counts of deaths obtained by SVR to produce modelled estimates.
Background: Cause-specific mortality statistics remain scarce for the majority of low-income countries, where the highest disease burdens are experienced. Neither facility-based information systems nor vital registration provide adequate or representative data. The expansion of sample vital registration with verbal autopsy procedures represents the most promising interim solution for this problem.
View Article and Find Full Text PDFObjectives: To validate verbal autopsy (VA) procedures for use in sample vital registration. Verbal autopsy is an important method for deriving cause-specific mortality estimates where disease burdens are greatest and routine cause-specific mortality data do not exist.
Methods: Verbal autopsies and medical records (MR) were collected for 3123 deaths in the perinatal/neonatal period, post-neonatal <5 age group, and for ages of 5 years and over in Tanzania.
The classification of disease burdens is an important topic that receives little attention or debate. One common classification scheme, the broad cause grouping, is based on etiology and health transition theory and is mainly concerned with distinguishing communicable from noncommunicable diseases. This may be of limited utility to policymakers and planners.
View Article and Find Full Text PDFThe aim of this review is to summarize the contextual, clinical and health system challenges to the delivery of health care for diabetes in Africa. Planners need to allocate sufficient resources in a context where resources for health in general are insufficient. Choices need to be made between different options for health care within this context and mechanisms are required to facilitate the implementation of the selected options and ensure that quality of care is maintained.
View Article and Find Full Text PDF