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Gao F., Kihal W., Le Meur N., Souris Marc, Deguen S. (2017). Does the edge effect impact on the measure of spatial accessibility to healthcare providers ?. International Journal of Health Geographics, 16, art. 46 [16 p.]. ISSN 1476-072X

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Lien direct chez l'éditeur doi:10.1186/s12942-017-0119-3

Does the edge effect impact on the measure of spatial accessibility to healthcare providers ?
Année de publication2017
Type de documentArticle référencé dans le Web of Science WOS:000417880800001
AuteursGao F., Kihal W., Le Meur N., Souris Marc, Deguen S.
SourceInternational Journal of Health Geographics, 2017, 16, p. art. 46 [16 p.]. p. art. 46 [16 p.] ISSN 1476-072X
RésuméBackground: Spatial accessibility indices are increasingly applied when investigating inequalities in health. Although most studies are making mentions of potential errors caused by the edge effect, many acknowledge having neglected to consider this concern by establishing spatial analyses within a finite region, settling for hypothesizing that accessibility to facilities will be under-reported. Our study seeks to assess the effect of edge on the accuracy of defining healthcare provider access by comparing healthcare provider accessibility accounting or not for the edge effect, in a real-world application. Methods: This study was carried out in the department of Nord, France. The statistical unit we use is the French census block known as 'IRIS' (Ilot Regroupe pour l'Information Statistique), defined by the National Institute of Statistics and Economic Studies. The geographical accessibility indicator used is the "Index of Spatial Accessibility" (ISA), based on the E2SFCA algorithm. We calculated ISA for the pregnant women population by selecting three types of healthcare providers: general practitioners, gynecologists and midwives. We compared ISA variation when accounting or not edge effect in urban and rural zones. The GIS method was then employed to determine global and local autocor-relation. Lastly, we compared the relationship between socioeconomic distress index and ISA, when accounting or not for the edge effect, to fully evaluate its impact. Results: The results revealed that on average ISA when offer and demand beyond the boundary were included is slightly below ISA when not accounting for the edge effect, and we found that the IRIS value was more likely to deteriorate than improve. Moreover, edge effect impact can vary widely by health provider type. There is greater variability within the rural IRIS group than within the urban IRIS group. We found a positive correlation between socioeconomic distress variables and composite ISA. Spatial analysis results (such as Moran's spatial autocorrelation index and local indicators of spatial autocorrelation) are not really impacted. Conclusion: Our research has revealed minor accessibility variation when edge effect has been considered in a French context. No general statement can be set up because intensity of impact varies according to healthcare provider type, territorial organization and methodology used to measure the accessibility to healthcare. Additional researches are required in order to distinguish what findings are specific to a territory and others common to different countries. It constitute a promising direction to determine more precisely healthcare shortage areas and then to fight against social health inequalities.
Plan de classementSanté : aspects socioculturels, économiques et politiques [056]
Descr. géo.FRANCE
LocalisationFonds IRD [F B010071911]
Identifiant IRDfdi:010071911
Lien permanenthttp://www.documentation.ird.fr/hor/fdi:010071911

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