Geographical Inequality on Cataract Surgery Uptake in 200,000 Australians: Findings from the “45 and Up Study”

Author:

Xiao Guobei12,Zhu Zhuoting3,Xiao Xin4,Tan Zachary5,Cao Ke26,Shang Xianwen7,Brown Karl D.2,Huang Guofu1ORCID,Zhang Lei278910ORCID,He Mingguang236ORCID

Affiliation:

1. Department of Ophthalmology, The First Hospital of Nanchang, Nanchang, Jiangxi, China

2. Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia

3. State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Centre, Sun Yat-Sen University, Guangzhou, China

4. Centre for Optometry and Visual Science, People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China

5. School of Medicine, the University of Queensland, Brisbane, Queensland, Australia

6. Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, Australia

7. Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Centre, Xi’an, China

8. Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia

9. Central Clinical School, Faculty of Medicine, Monash University, Melbourne, Australia

10. Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan, China

Abstract

Using a geographical information system (GIS), we investigated the spatiotemporal evolution of a cataract surgery service and its association with socioeconomic factors and private insurance, based on 10-year real-world medical claim data in an Australian population. The data collected cover a decade (2007–2016) from the “45 and Up Study”. A total of 234,201 participants within the cataract surgery service were grouped into 88 Statistical Area Level 3 (SA3s) according to their residential postcodes in New South Wales Australia. We analyzed the spatiotemporal variations and geographical distribution inequality in cataract surgery incidence and its respect to socioeconomic status (SES) and private health insurance coverage by Spearman correlation analysis and Moran’s I test. Then these variations were intuitive displayed by six-quartile maps and a local indicator of spatial association (LISA) maps based on GIS. The average cumulative age-gender-standardized of the incidence of cataract surgery (ICS) was 8.85% (95% CI, 5.33–15.6). Spatial variation was significant (univariate Moran’s I = 0.45, P  = 0.001) with incidence gradually decreasing from the coastal regions to the north-western inland regions, suggesting inequality in the cataract surgery service across the state of New South Wales. Notably, clustering of the low incidence areas had gradually disappeared over the decade, suggesting that the cataract surgery service has improved over time. Low scores on the “index of socioeconomic disadvantages” (IRSD) and high private health insurance coverage were significantly associated with a higher incidence of cataract surgery (bivariate Moran’s I = −0.13 and 0.23, P  < 0.01; Spearman correlation r = 0.25 and −0.25, P  = 0.02), which is displayed on the map visually and obviously. Spatiotemporal variations in the incidence of cataract surgery are significant, but the low incidence area had gradually disappeared over time. High socioeconomic status and private insurance contribute to a higher incidence of cataract surgery in Australia.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

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