A small-area index of socioeconomic deprivation to capture health inequalities in France

Havard, Sabrina; Deguen, Séverine; Bodin, Julie; Louis, Karine; Olivier, Laurent; Bard, Denis

doi:10.1016/j.socscimed.2008.09.031

Cited by 164 publications

(141 citation statements)

References 46 publications

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“…10 However, many studies have also observed greater inequalities among women than among men. 4,14 Some studies find them at individual level, 8,10,12,29,30,32 others at area level (ecological studies), 35,38,39,43,50,51 and lastly, there are some multilevel studies, 15,16,20 which have found such inequalities at area level, independently of the individual's socioeconomic level. However, few studies have discussed the possible causes of these differences between the sexes.…”

Section: Trends In Socioeconomic Inequalities In Ihd Mortalitymentioning

confidence: 99%

Trends in Socioeconomic Inequalities in Ischemic Heart Disease Mortality in Small Areas of Nine Spanish Cities from 1996 to 2007 Using Smoothed ANOVA

et al. 2013

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The aim of this study was to analyze the evolution of socioeconomic inequalities in mortality due to ischemic heart diseases (IHD) in the census tracts of nine Spanish cities between the periods 1996-2001 and 2002-2007. Among women, there are socioeconomic inequalities in IHD mortality in the first period which tended to remain stable or even increase in the second period in most of the cities. Among men, in general, no socioeconomic inequalities have been detected for this cause in either of the periods. These results highlight the importance of intra-urban inequalities in mortality due to IHD and their evolution over time.

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Section: Trends In Socioeconomic Inequalities In Ihd Mortalitymentioning

confidence: 99%

Trends in Socioeconomic Inequalities in Ischemic Heart Disease Mortality in Small Areas of Nine Spanish Cities from 1996 to 2007 Using Smoothed ANOVA

et al. 2013

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“…The UK indexes have mainly been at the electoral ward scale (a relatively local, small area geography) and are predominantly based on a composite of census-derived variables as indicators of relative conditions between areas although in the recent IMD alternative geographies and input variables are used. Deprivation indexes have also been developed in the US, Canada, New Zealand, France and elsewhere (Bell et al, 2007;Havard, 2008).…”

Section: Introductionmentioning

confidence: 99%

Identifying Change Over Time in Small Area Socio-Economic Deprivation

Norman

2009

Appl. Spatial Analysis

119

105

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The measurement of area level deprivation is the subject of a wide and ongoing debate regarding the appropriateness of the geographical scale of analysis, the input indicator variables and the method used to combine them into a single figure index. Whilst differences exist, there are strong correlations between schemes.Many policy-related and academic studies use deprivation scores calculated cross-sectionally to identify areas in need of regeneration and to explain variations in health outcomes. It would be useful then to identify whether small areas have changed their level of deprivation over time and thereby be able to:monitor the effect of industry closure; assess the impact of area-based planning initiatives; or determine whether a change in the level of deprivation leads to a change in health. However, the changing relationship with an outcome cannot be judged if the 'before' and 'after' situations are based on deprivation measures which use different, often time-point specific variables, methods and geographies.

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“…Indeed, there is broad experience in showing the relationships of deprivation and different kinds of health outcomes (Boyle et al 2001;Cabrera-Barona et al 2015;Carstairs 1995;Havard et al 2008;Lalloué et al 2013). The importance of studying contextual social disadvantages also lies in the fact that deprived neighborhoods foster negative views or low satisfaction in individuals living there (Gambaro et al 2015).…”

Section: Discussionmentioning

confidence: 99%

“…Health analyses with implications in decision making have widely used measures of healthcare accessibility and social deprivation Bissonnette et al 2012;Boyle et al 2001;Cabrera-Barona et al 2015;Carstairs 1995;Crooks and Schuurman 2012;Delamater 2013;Havard et al 2008;Hiscock et al 2008;Lalloué et al 2013;Luo 2014;Wan et al 2013). There are different indicators that can be used to represent deprivation and health.…”

Section: Introductionmentioning

confidence: 99%

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Deprivation, Healthcare Accessibility and Satisfaction: Geographical Context and Scale Implications

Cabrera-Barona

Blaschke

Gaona

2017

Appl. Spatial Analysis

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Indices explaining health phenomena are important tools for identifying and investigating health inequalities and to support policy making. Some of these indices are expressed at area-level, and the investigation of the areal influences of these indices on individual health outcomes have scale and geographical contextual implications that need to be assessed. In this study we calculated two area-level indices: one deprivation index and one index of healthcare accessibility. Using multilevel modelling, we calculated the area-level influences of these indices on an individual-level index of healthcare satisfaction considering three kinds of areas or contexts: a context of deprivation, a context of healthcare accessibility and a context combining the two characteristics of healthcare accessibility and deprivation. We evaluated two kinds of geographical problems using the statistical results of these area-level influences: the modifiable areal unit problem (MAUP) and the uncertain geographic context problem (UGCoP). Regarding the MAUP we evaluated the scale effects at two scales: census blocks and census tracts. Regarding the UGCoP we evaluated the differences in areal influences between the three kinds of contexts for both scales. The case study area was the city of Quito, Ecuador. The results of the performed analyses showed no severe MAUP and UGCoP, and revealed important evidence of the area-level influence of deprivation and healthcare accessibility on healthcare satisfaction.

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A small-area index of socioeconomic deprivation to capture health inequalities in France

Cited by 164 publications

References 46 publications

Trends in Socioeconomic Inequalities in Ischemic Heart Disease Mortality in Small Areas of Nine Spanish Cities from 1996 to 2007 Using Smoothed ANOVA

Trends in Socioeconomic Inequalities in Ischemic Heart Disease Mortality in Small Areas of Nine Spanish Cities from 1996 to 2007 Using Smoothed ANOVA

Identifying Change Over Time in Small Area Socio-Economic Deprivation

Deprivation, Healthcare Accessibility and Satisfaction: Geographical Context and Scale Implications

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