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Temporal and Spatial Characteristics of Cataract Surgery Rates in China

OBJECTIVE: The aim of the current study was to explore the spatial and temporal distribution characteristics of registered cases of cataract surgery in China from 2013 to 2017. METHODS: A database for spatial analysis of cataract surgery in China in 2013–2017 was established using ArcGIS10.0 softwar...

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Detalles Bibliográficos
Autores principales: Wu, Xiaoming, Shi, Xiujing, Li, Honglei, Guo, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8405972/
https://www.ncbi.nlm.nih.gov/pubmed/34475788
http://dx.doi.org/10.2147/RMHP.S317547
Descripción
Sumario:OBJECTIVE: The aim of the current study was to explore the spatial and temporal distribution characteristics of registered cases of cataract surgery in China from 2013 to 2017. METHODS: A database for spatial analysis of cataract surgery in China in 2013–2017 was established using ArcGIS10.0 software as a platform for data management and presentation. Spatial autocorrelation analysis of cataract surgery was undertaken, and temporal and spatial scan analysis was done using SaTScan 9.5 software. RESULTS: From 2013 to 2017, annual cataract surgery rates (CSRs) in China were 1200, 1400, 1782, 2070, and 2205 per 1 million population, indicating a gradually increasing trend. Local Moran’s I autocorrelation analysis showed that there was spatial clustering of CSR in China, with Anhui being a low-high clustering region. Findings of global hotspot analysis Getis-Ord General G showed that General G index of national CSR was <0.01, Z = 1.12, P = 0.26. Findings of staged spatial-temporal scan analysis indicated that 18 areas of aggregation were found in 2 stages. Observed differences in each clustering area were statistically significant (P < 0.05). CONCLUSION: CSRs in China showed increasing trend year by year and were randomly distributed, with spatial clustering, and Anhui was reported as a low-high clustering region. However, high-risk areas still persist, requiring focused attention and targeted prevention and control measures.