R Héquette-Ruz1, J-B Beuscart2,3, G Ficheur4,5, E Chazard4,5, E Guillaume6, J Paccou7, F Puisieux1,4, M Genin4,5. 1. CHU Lille, Geriatrics department, F-59000, Lille, France. 2. CHU Lille, Geriatrics department, F-59000, Lille, France. jean-baptiste.beuscart@univ-lille.fr. 3. Univ. Lille, ULR 2694 - METRICS : Évaluation des technologies de santé et des pratiques médicales, F-59000, Lille, France. jean-baptiste.beuscart@univ-lille.fr. 4. Univ. Lille, ULR 2694 - METRICS : Évaluation des technologies de santé et des pratiques médicales, F-59000, Lille, France. 5. CHU Lille, Department of Methodology and Biostatistics, F-59000, Lille, France. 6. U1086 INSERM, Université Caen Normandie-UFR Santé, Caen, France. 7. MABLab UR 4490, Department of Rheumatology, Univ. Lille, CHU Lille, 59000, Lille, France.
Abstract
We investigated the association between hip fracture incidence and living area characteristics in France. The spatial distribution of hip fracture incidence was heterogeneous and there was a significant relationship between social deprivation, urbanization, health access, and hip fracture risk. INTRODUCTION: Several studies have shown great disparities in spatial repartition of hip fractures (HF). The aim of the study was to analyze the association between HF incidence and characteristics of the living area. METHODS: All patients aged 50 or older, living in France, who were hospitalized for HF between 2012 and 2014 were included, using the French national hospital discharge database. Standardized incidence ratio (SIR) was calculated for each spatial unit and adjusted on age and sex. An ecological regression was performed to analyze the association between HF standardized incidence and ecological variables. We adjusted the model for neighborhood spatial structure. We used three variables to characterize the living areas: a deprivation index (French-EDI); healthcare access (French standardized index); land use (percentage of artificialized surfaces). RESULTS: A total of 236,328 HF were recorded in the French hospital national database, leading to an annual HF incidence of 333/100,000. The spatial analysis revealed geographical variations of HF incidence with SIR varying from 0.67 (0.52; 0.85) to 1.45 (1.23; 1.70). There was a significant association between HF incidence rates and (1) French-EDI (trend p = 0.0023); (2) general practitioner and nurse accessibility (trend p = 0.0232 and p = 0.0129, respectively); (3) percentage of artificialized surfaces (p < 0.0001). CONCLUSION: The characteristics of the living area are associated with significant differences in the risk of hip fracture of older people.
We investigated the association between hip fracture incidence and living area characteristics in France. The spatial distribution of hip fracture incidence was heterogeneous and there was a significant relationship between social deprivation, urbanization, health access, and hip fracture risk. INTRODUCTION: Several studies have shown great disparities in spatial repartition of hip fractures (HF). The aim of the study was to analyze the association between HF incidence and characteristics of the living area. METHODS: All patients aged 50 or older, living in France, who were hospitalized for HF between 2012 and 2014 were included, using the French national hospital discharge database. Standardized incidence ratio (SIR) was calculated for each spatial unit and adjusted on age and sex. An ecological regression was performed to analyze the association between HF standardized incidence and ecological variables. We adjusted the model for neighborhood spatial structure. We used three variables to characterize the living areas: a deprivation index (French-EDI); healthcare access (French standardized index); land use (percentage of artificialized surfaces). RESULTS: A total of 236,328 HF were recorded in the French hospital national database, leading to an annual HF incidence of 333/100,000. The spatial analysis revealed geographical variations of HF incidence with SIR varying from 0.67 (0.52; 0.85) to 1.45 (1.23; 1.70). There was a significant association between HF incidence rates and (1) French-EDI (trend p = 0.0023); (2) general practitioner and nurse accessibility (trend p = 0.0232 and p = 0.0129, respectively); (3) percentage of artificialized surfaces (p < 0.0001). CONCLUSION: The characteristics of the living area are associated with significant differences in the risk of hip fracture of older people.
Entities:
Keywords:
Ecological factors; Elderly; Hip fracture; Spatial regression