Abstract: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 calcu… Show more
“…The multi-criteria deprivation index for the city of Quito draws on the judgments of 13 experts of the fields of geography, health, and urban studies. The consistency of the experts' judgments has been verified by a consistency ratio lower than 0.10 [25,32]. The detailed methodology used to construct the deprivation index is explained in the study published by Cabrera-Barona, Blaschke and Gaona [25].…”
Section: The Multi-criteria Deprivation Index and Its Gis-based Scenamentioning
confidence: 87%
“…The consistency of the experts' judgments has been verified by a consistency ratio lower than 0.10 [25,32]. The detailed methodology used to construct the deprivation index is explained in the study published by Cabrera-Barona, Blaschke and Gaona [25]. The ten indicators used to construct the deprivation index and their corresponding AHP-based weights are shown in Table 1.…”
Section: The Multi-criteria Deprivation Index and Its Gis-based Scenamentioning
confidence: 90%
“…Located in the Andes, Quito is the capital city of Ecuador and is home to more than 1.5 million inhabitants. The indices of multi-criteria deprivation and healthcare accessibility adapted to the city of Quito were used in the present study [25]. These indices draw on data from the 2010 population and housing census and the locations of primary healthcare services.…”
Section: Study Area Data Sources and The Measure Of Self-reported Hementioning
confidence: 99%
“…The multi-criteria deprivation index for the city of Quito was used in this study [25]. The index was calculated in each census block in the study area.…”
Section: The Multi-criteria Deprivation Index and Its Gis-based Scenamentioning
confidence: 99%
“…The measure of spatial accessibility to healthcare proposed by Cabrera-Barona, Blaschke, and Gaona [25] was applied in this study. This measure was developed to identify inequalities of healthcare accessibility in accessing primary healthcare services at different scales, and has been related to the multi-criteria deprivation index for the city of Quito to evaluate healthcare satisfaction.…”
Section: The Spatial Accessibility To Healthcarementioning
Self-reported health is considered a health outcome related to neighborhood characteristics. This study analyzes the influence of urban multi-criteria deprivation and spatial accessibility to healthcare on individual self-reported health from a case study carried out in the city of Quito, Ecuador. A multi-criteria deprivation index and two alternative scenarios of this index were generated. A gravity-based measure of spatial accessibility to healthcare was also calculated. The neighborhood effects of deprivation measures and spatial accessibility to healthcare on individual self-reported health were evaluated by applying multilevel models. Significant neighborhood effects were found in two of the three applied multilevel models. This study contributes evidence of neighborhood effects on health outcomes, and can support urban planners and policy-makers in the reduction of urban health-related inequalities.
“…The multi-criteria deprivation index for the city of Quito draws on the judgments of 13 experts of the fields of geography, health, and urban studies. The consistency of the experts' judgments has been verified by a consistency ratio lower than 0.10 [25,32]. The detailed methodology used to construct the deprivation index is explained in the study published by Cabrera-Barona, Blaschke and Gaona [25].…”
Section: The Multi-criteria Deprivation Index and Its Gis-based Scenamentioning
confidence: 87%
“…The consistency of the experts' judgments has been verified by a consistency ratio lower than 0.10 [25,32]. The detailed methodology used to construct the deprivation index is explained in the study published by Cabrera-Barona, Blaschke and Gaona [25]. The ten indicators used to construct the deprivation index and their corresponding AHP-based weights are shown in Table 1.…”
Section: The Multi-criteria Deprivation Index and Its Gis-based Scenamentioning
confidence: 90%
“…Located in the Andes, Quito is the capital city of Ecuador and is home to more than 1.5 million inhabitants. The indices of multi-criteria deprivation and healthcare accessibility adapted to the city of Quito were used in the present study [25]. These indices draw on data from the 2010 population and housing census and the locations of primary healthcare services.…”
Section: Study Area Data Sources and The Measure Of Self-reported Hementioning
confidence: 99%
“…The multi-criteria deprivation index for the city of Quito was used in this study [25]. The index was calculated in each census block in the study area.…”
Section: The Multi-criteria Deprivation Index and Its Gis-based Scenamentioning
confidence: 99%
“…The measure of spatial accessibility to healthcare proposed by Cabrera-Barona, Blaschke, and Gaona [25] was applied in this study. This measure was developed to identify inequalities of healthcare accessibility in accessing primary healthcare services at different scales, and has been related to the multi-criteria deprivation index for the city of Quito to evaluate healthcare satisfaction.…”
Section: The Spatial Accessibility To Healthcarementioning
Self-reported health is considered a health outcome related to neighborhood characteristics. This study analyzes the influence of urban multi-criteria deprivation and spatial accessibility to healthcare on individual self-reported health from a case study carried out in the city of Quito, Ecuador. A multi-criteria deprivation index and two alternative scenarios of this index were generated. A gravity-based measure of spatial accessibility to healthcare was also calculated. The neighborhood effects of deprivation measures and spatial accessibility to healthcare on individual self-reported health were evaluated by applying multilevel models. Significant neighborhood effects were found in two of the three applied multilevel models. This study contributes evidence of neighborhood effects on health outcomes, and can support urban planners and policy-makers in the reduction of urban health-related inequalities.
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