Putting child mortality on a map: towards an understanding of inequity in health
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Putting child mortality on a map: towards an understanding of inequity in health. / Tottrup, C; Tersbøl, Britt Pinkowski; Lindeboom, W; Meyrowitsch, D.
I: Tropical Medicine & International Health, Bind 14, Nr. 6, 2009, s. 653-62.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Putting child mortality on a map: towards an understanding of inequity in health
AU - Tottrup, C
AU - Tersbøl, Britt Pinkowski
AU - Lindeboom, W
AU - Meyrowitsch, D
N1 - Keywords: Child Mortality; Child, Preschool; Developing Countries; Environment; Female; Geographic Information Systems; Health Status Disparities; Humans; Infant; Infant, Newborn; Male; Risk Factors; Socioeconomic Factors; Tanzania
PY - 2009
Y1 - 2009
N2 - OBJECTIVES: To map and analyse geographical (spatial) variations of child mortality trends in mainland Tanzania. METHODS: We used a geographic information system to integrate data on child mortality and associated risk factors. We then applied spatial statistics to quantify the spatial component of child mortality trends, and employed multivariate analysis to break mortality down into a spatial and a local component. RESULTS: The results support our hypothesis that child mortality trends have a spatial component that can be attributed to broad-scale environmental and social-economic factors. However, the multivariate analysis showed that the spatial component only explained one-third of the variation in child mortality trends. The results thus point towards the presence of local (non-spatial) causative factors, including variations in the access to and quality of child health care. CONCLUSIONS: The method we used is a cost-effective way to systematically assess geographical variations in health outcomes. It can thus provide researchers and practitioners with a good first-line tool in understanding local contributions to differences in mortality and other indicators, and give authorities at all levels a better foundation for addressing health inequities.
AB - OBJECTIVES: To map and analyse geographical (spatial) variations of child mortality trends in mainland Tanzania. METHODS: We used a geographic information system to integrate data on child mortality and associated risk factors. We then applied spatial statistics to quantify the spatial component of child mortality trends, and employed multivariate analysis to break mortality down into a spatial and a local component. RESULTS: The results support our hypothesis that child mortality trends have a spatial component that can be attributed to broad-scale environmental and social-economic factors. However, the multivariate analysis showed that the spatial component only explained one-third of the variation in child mortality trends. The results thus point towards the presence of local (non-spatial) causative factors, including variations in the access to and quality of child health care. CONCLUSIONS: The method we used is a cost-effective way to systematically assess geographical variations in health outcomes. It can thus provide researchers and practitioners with a good first-line tool in understanding local contributions to differences in mortality and other indicators, and give authorities at all levels a better foundation for addressing health inequities.
U2 - 10.1111/j.1365-3156.2009.02275.x
DO - 10.1111/j.1365-3156.2009.02275.x
M3 - Journal article
C2 - 19508701
VL - 14
SP - 653
EP - 662
JO - Tropical Medicine & International Health
JF - Tropical Medicine & International Health
SN - 1360-2276
IS - 6
ER -
ID: 20807448