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Implementing tuberculosis patient cost surveys in resource-constrained settings: lessons from Tanzania | BMC Public Health

Tuberculosis (TB) disproportionally affects persons and families who are economically and socially disadvantaged. Therefore, a patient cost survey was conducted in Tanzania to evaluate the costs incurred by patients and their households before and after the diagnosis of TB. It was the first survey in Tanzania to ascertain baseline information and experience for subsequent surveys. This paper aims to share the experience encountered during the survey to ensure a standardized approach and elimination of potential barriers for the implementation of future surveys. A total of 777 TB patients from 30 clusters selected based on probability proportional to the size were interviewed during the study period. As the sample size was calculated based on notification data from the previous year, some health facilities experienced an inadequate number of TB patients during the study to meet the allocated cluster size for the survey. Most facilities had poor recording and recordkeeping in TB ....

Dar Es Salaam , National Guidelines , Leprosy Program , Tanzania National Institute Of Medical Research , Tanzania National Institute , Medical Research , Survey Coordinator ,

Evaluating malaria prevalence and land cover across varying transmission intensity in Tanzania using a cross-sectional survey of school-aged children | Malaria Journal

Transmission of malaria in sub-Saharan Africa has become increasingly stratified following decades of malaria control interventions. The extent to which environmental and land cover risk factors for malaria may differ across distinct strata of transmission intensity is not well known and could provide actionable targets to maximize the success of malaria control efforts. This study used cross-sectional malaria survey data from a nationally representative cohort of school-aged children in Tanzania, and satellite-derived measures for environmental features and land cover. Hierarchical logistic regression models were applied to evaluate associations between land cover and malaria prevalence within three distinct strata of transmission intensity: low and unstable, moderate and seasonal, and high and perennial. In areas with low malaria transmission, each 10-percentage point increase in cropland cover was associated with an increase in malaria prevalence odds of 2.44 (95% UI: 1.27, 5.11). H ....

Indian Ocean , European Space Agency Climate Change Initiative , Shuttle Radar Topography Mission , Climate Hazards Group , Tanzania School Malaria Parasitological Survey , University Of North Carolina Institutional Review Board , University Of North Carolina , Tanzania National Institute For Medical Research , East African , School Malaria Parasitological Survey , North Carolina , Climate Hazards Group Infrared Precipitation , Moderate Resolution Imaging Spectroradiometer , Enhanced Vegetation Index , Saharan African , North Carolina Institutional Review Board , Tanzania National Institute ,