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• W914143442 abstract "It has been questioned whether demographic surveillance system (DSS) sites, which normally operate in relatively small, homogeneous areas, and in relatively small populations of the order of 100,000 people, are large enough to examine inequalities and inequities in health. The Rufiji DSS in Tanzania has attempted to apply principal components analysis (PCA) to asset and other household data collected in the routine course of a DSS, to rank individuals according to a household socio-economic index and investigate whether this predicts health system access or outcomes. In this study, we determined wealth indices for individuals in 12,604 rural households in the Rufiji DSS area using principal components analysis for the year 2000. The index was based on the presence or absence of items from a list of 20 specific household assets and 9 household characteristics dealing with household ownership, construction features, water supply, sanitation, and type of fuel. PCA revealed 49 principal components of which the first accounted for 12.9% of the total variance. Asset ownership and housing features contributed equally to the variance in the first component. Scores for each asset or feature were internally consistent with expectations. In this study, we examined mosquito net ownership as an example of health intervention access, and infant, child and under-5 mortality rates as examples of health outcomes, all in relation to quintiles of populations and determined poorest-least poor ratios, concentration indices, and chi-square for linear trend. Results showed significant gradients in both access and outcome measures across wealth quintiles, even in this relatively homogeneous rural area. Poorest-least poor ratios for infant, child and under-5 mortality were 1.46, 1.41 and 1.53 respectively while lack of access to mosquito nets was 1.82. The findings call for more attention to strategies or approaches for reducing health inequalities. These could include reforms in the health sector to provide more equitable resource allocation, improvement in the quality of the health services offered to the poor, and redesigning interventions and" @default.
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• W914143442 date "2005-01-01" @default.
• W914143442 modified "2023-09-26" @default.
• W914143442 title "Socio-economic status and health inequalities in rural Tanzania: Evidence from the Rufifi demographic surveillance system." @default.
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• W914143442 hasPublicationYear "2005" @default.
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