2014
DOI: 10.1186/1471-2458-14-162
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What type of rural? Assessing the variations in life expectancy at birth at small area-level for a small population province using classes of locally defined settlement types

Abstract: BackgroundAlthough efforts have been made to articulate rural–urban health inequalities in recent years, results have been inconsistent due to different geographical scales used in these studies. Small-area level investigations of health inequalities will likely show more detailed pictures of health inequalities among diverse rural communities, but they are difficult to conduct, particularly in a small population region. The objectives of this study were: 1) to compare life expectancy at birth for females and … Show more

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Cited by 8 publications
(3 citation statements)
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“…This is a robust method for calculating life expectancy estimates for geographical areas11 and specific populations 12. To create the life tables, populations and deaths were counted by ethnic group, sex and 5-year age bands (except for 0, 1–4 and >85 years).…”
Section: Methodsmentioning
confidence: 99%
“…This is a robust method for calculating life expectancy estimates for geographical areas11 and specific populations 12. To create the life tables, populations and deaths were counted by ethnic group, sex and 5-year age bands (except for 0, 1–4 and >85 years).…”
Section: Methodsmentioning
confidence: 99%
“…Communities were classified into three settlement types based on population density (per kilometre road) using geometric intervals—a method which minimises within-group variance—and using Google Earth satellite images. 22 There were 29 ‘urban’ (Halifax Metro and adjacent) communities, 58 ‘towns’ (mid-size to small-size towns outside of Halifax Metro) and 113 sparse ‘rural’ communities. Figure 1 shows the spatial distribution of communities in the province by three settlement types.…”
Section: Methodsmentioning
confidence: 99%
“…The analysis may be at an area level only; 10,11 or may be multilevel -involving both area-and individual-level variables. 9,12,13 Using highly accurate locational data for all buildings in Nova Scotia, this paper estimated the extent of locational misclassification error, by levels or rurality, resulting from the use of PCCF+ to geocode six-digit postal codes to census geographic areas.…”
mentioning
confidence: 99%