ABSTRACT
Objective @#To investigate equity of resource allocation in ophthalmology departments of medical institutions in Shenzhen City, so as to provide insights into the optimization of resource allocation in ophthalmology departments in Shenzhen City.@* Methods @#The numbers of beds and ophthalmologists in ophthalmology departments of medical institutions in Shenzhen City were collected through the Shenzhen Health Statistical Yearbook 2019. The distribution of resources and equity of resource allocation were evaluated in ophthalmology departments of Shenzhen City using Lorenz curve and Gini coefficient.@* Results @#There were 5.95 beds and 4.62 ophthalmologists in ophthalmology departments per 100 000 permanent residents in Shenzhen City in 2019. There were 13.35 beds and 9.51 ophthalmologists in ophthalmology departments per 100 000 permanent residents within the former special zone (Luohu, Futian, Nanshan and Yantian districts), and 2.17 beds and 2.13 ophthalmologists in ophthalmology departments per 100 000 permanent residents outside the former special zone (Guangming, Baoan, Longhua, Longgang, Pingshan districts and Dapeng New Area). The Gini coefficients of beds and ophthalmologists in ophthalmology departments were 0.348 and 0.243 by permanent residents in Shenzhen City, 0.386 and 0.386 within the former special zone and 0.086 and 0.012 outside the former special zone, respectively. The Lorenz curves of beds and ophthalmologists in ophthalmology departments were closer to the equity line outside the former special zone in relative to within the former special zone. @* Conclusion@#The gross number of beds and ophthalmologists remains to be increased in ophthalmology departments of medical institutions in Shenzhen City, and the equity of regional resource allocation is poor, which is mainly characterized by resource scarcity in ophthalmology departments outside the former special zone.
ABSTRACT
Objective:To analyze the prevalence of poor vision and spatial distribution characteristics among primary school students in Shenzhen.Methods:A cross-sectional study was conducted.Vision screening among primary school students in Shenzhen was carried out by myopia screening hospitals organized by Shenzhen Myopia Prevention and Control Center for Children and Adolescents using the logarithmic visual acuity chart in 2019.The prevalence of poor vision in different districts, different genders and different grades was calculated.Spatial distribution of the prevalence of poor vision was analyzed with Arcgis 10.2 software.This study adhered to the Declaration of Helsinki.Written informed consent was obtained from guardian of each subject.The study protocol was approved by an Ethics Committee of Shenzhen Eye Hospital (No.20201230-06).Results:A total of 1 044 545 students received the visual acuity examination.The prevalence of poor vision among primary school students in Shenzhen in 2019 was 53.4%(557 748/1 044 545). The prevalence of poor vision among primary school students in the former Shenzhen Special Economic Zone was 56.7%(172 771/304 532), which was higher than 52.0%(384 977/740 013) in areas outside the former Shenzhen Special Economic Zone, and the prevalence of poor vision among girls was 56.7%(268 201/473 164), which was higher than 50.7%(289 547/571 381) among boys, and the differences were statistically significant ( χ2=192.412, 375.434; both at P<0.001). As the grade increased, the prevalence of poor vision firstly decreased and then increased, showing an increasing tendency in general.The prevalence rate of poor vision among primary school students among grade 1 to 6 was 49.8%(99 615/200 203), 44.0%(86 521/196 800), 47.2%(82 848/175 331), 54.5%(89 737/164 731), 60.8%(96 271/158 298), and 68.9%(102 756/149 182), respectively, and a significant difference was found ( χ2=2 871.017, P<0.001). The global Moran I index in Shenzhen was 0.278.The local Moran I index and Geary coefficient in Guangming District were 0.933 and 0.78, respectively.The prevalence of poor vision in Guangming District and its surrounding areas was a low-low cluster. Conclusions:The prevalence of poor vision among primary school students in Shenzhen is spatially aggregated.