A multi-criteria spatial deprivation index to support health inequality analyses
详细信息 查看全文
- 作者：Pablo Cabrera-Barona ; Thomas Murphy…
- 关键词：Deprivation ; Analytical Hierarchy Process (AHP) ; Ordered Weighted Averaging (OWA) ; Geographically Weighted Regression (GWR) ; Health ; Privación ; Proceso Analítico Jerárquico ; Sumatoria Lineal Ordenada Ponderada ; Regresión Ponderada Geográficamente ; Salud
- 刊名：International Journal of Health Geographics
- 出版年：2015
- 出版时间：December 2015
- 年：2015
- 卷：14
- 期：1
- 全文大小：1,740 KB
- 参考文献：1. Niggebrugge, A, Haynes, R, Jones, A, Lovett, A, Harvey, I (2005) The index of multiple deprivation 2000 access domain: a useful indicator for public health?. Soc Sci Med 60: pp. 2743-53 CrossRef
2. Pampalon, P, Pamel, D, Gamache, P, Raymond, G (2009) A deprivation index for health planning in Canada. Chronic Dis Canada 29: pp. 178-91
3. Pasetto, R, Sampaolo, L, Pirastu, R (2010) Measures of material and social circumstances to adjust for deprivation in small-area studies of environment and health: review and perspectives. Ann Ist Super Sanita 46: pp. 185-97
4. Townsend, P (1987) Deprivation. J Soc Policy 16: pp. 125-46 CrossRef
5. Testi, A, Ivaldi, E (2009) Material versus social deprivation and health: a case study of an urban area. Eur J Health Econ 10: pp. 323-8 CrossRef
6. Adams, J, Ryan, V, White, M (2004) How accurate are Townsend deprivation scores as predictors of self-reported health? A comparison with individual level data. J Public Health 27: pp. 101-6 CrossRef
7. Boyle, P, Gatrell, A, Duke-Williams, O (2001) Do area-level population change, deprivation and variations in deprivation affect individual-level self-reported limiting long-term illness?. Soc Sci Med 53: pp. 795-9 CrossRef
8. Cabrera Barona P. A multiple deprivation index and its relation to health services accessibility in a rural area of Ecuador. In: Vogler R, Car A, Strobl J, Griesebner G, editors. GI_Forum 2014. Geospatial Innovation for Society: 1- July 2014; Salzburg. Wichmann/OAW; 2014. p. 188-91.
9. Havard, S, Deguen, S, Bodin, J, Louis, K, Laurent, O, Bard, D (2008) A small-area index of socioeconomic deprivation to capture health inequalities in France. Soc Sci Med 67: pp. 2007-16 CrossRef
10. Schuurman, N, Bell, N, Dunn, JR, Oliver, L (2007) Deprivation indices, population health and geography: an evaluation of the spatial effectiveness of indices at multiple scales. J Urban Healt 84: pp. 591-603 CrossRef
11. Stj?rne, MK, Leon, A, Hallqvist, J (2004) Contextual effects of social fragmentation and material deprivation on risk of myocardial infarction—results from the Stockholm Heart Epidemiology Program (SHEEP). Int J Epidemiol 33: pp. 732-41 CrossRef
12. Pampalon, R, Raymond, G (2000) A deprivation index for health and welfare planning in Quebec. Chronic Dis Canada 21: pp. 104-13
13. Jarman, B (1983) Identification of underprivileged areas. Br Med J 286: pp. 1705-9 CrossRef
14. Jarman, B (1984) Underprivileged areas: validation and distribution of scores. Br Med J 289: pp. 1587-92 CrossRef
15. Carstairs, V, Morris, R (1989) Deprivation: explaining differences in mortality between Scotland and England and Wales. Br Med J 299: pp. 886-9 CrossRef
16. Folwell, K (1995) Single measures of deprivation. J Epidemiol Community Health 49: pp. S51-6 CrossRef
17. Bell, N, Schuurman, N, Hayes, M (2007) Using GIS-based methods of multicriteria analysis to construct socio-economic deprivation indices. Int J Health Geogr 6: pp. 1-19
18. Lalloué, B, Monnez, JM, Padilla, C, Kihal, W, Meur, N, Zmirou-Navier, D (2013) A statistical procedure to create a neighborhood socioeconomic index for health inequalities analysis. Int J Equity Health 12: pp. 1-11
19. Messer, LC, Laraia, BA, Kaufman, JS, Eyster, J, Holzman, C, Culhane, J (2006) The development of a standardized neighborhood deprivation index. J Urban Healt 83: pp. 1041-62- 刊物主题：Public Health; Geographical Information Systems/Cartography; Human Geography; Epidemiology;
- 出版者：BioMed Central
- ISSN：1476-072X
文摘
Background Deprivation indices are useful measures to analyze health inequalities. There are several methods to construct these indices, however, few studies have used Geographic Information Systems (GIS) and Multi-Criteria methods to construct a deprivation index. Therefore, this study applies Multi-Criteria Evaluation to calculate weights for the indicators that make up the deprivation index and a GIS-based fuzzy approach to create different scenarios of this index is also implemented. Methods The Analytical Hierarchy Process (AHP) is used to obtain the weights for the indicators of the index. The Ordered Weighted Averaging (OWA) method using linguistic quantifiers is applied in order to create different deprivation scenarios. Geographically Weighted Regression (GWR) and a Moran’s I analysis are employed to explore spatial relationships between the different deprivation measures and two health factors: the distance to health services and the percentage of people that have never had a live birth. This last indicator was considered as the dependent variable in the GWR. The case study is Quito City, in Ecuador. Results The AHP-based deprivation index show medium and high levels of deprivation (0,511 to 1,000) in specific zones of the study area, even though most of the study area has low values of deprivation. OWA results show deprivation scenarios that can be evaluated considering the different attitudes of decision makers. GWR results indicate that the deprivation index and its OWA scenarios can be considered as local estimators for health related phenomena. Moran’s I calculations demonstrate that several deprivation scenarios, in combination with the ‘distance to health services-factor, could be explanatory variables to predict the percentage of people that have never had a live birth. Conclusions The AHP-based deprivation index and the OWA deprivation scenarios developed in this study are Multi-Criteria instruments that can support the identification of highly deprived zones and can support health inequalities analysis in combination with different health factors. The methodology described in this study can be applied in other regions of the world to develop spatial deprivation indices based on Multi-Criteria analysis.