Evidence map›Paper›PMID 36156939›Full record

ArticleComputational intelligence and neuroscience2022

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

Guobei Xiao, Zhuoting Zhu, Xin Xiao, Zachary Tan, Ke Cao, Xianwen Shang, Karl D Brown, Guofu Huang, Lei Zhang, Mingguang He

Abstract read
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Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Guobei XiaoDepartment of Ophthalmology, The First Hospital of Nanchang, Nanchang, Jiangxi, China.
Zhuoting ZhuState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Centre, Sun Yat-Sen University, Guangzhou, China.
Xin XiaoCentre for Optometry and Visual Science, People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Zachary TanSchool of Medicine, the University of Queensland, Brisbane, Queensland, Australia.
Ke CaoCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia.
Xianwen ShangDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Centre, Xi'an, China.
Karl D BrownCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia.
Guofu HuangDepartment of Ophthalmology, The First Hospital of Nanchang, Nanchang, Jiangxi, China.ORCID https://orcid.org/0000-0003-0495-0663
Lei ZhangCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0003-2343-084X
Mingguang HeCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-7877-168X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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,

Indexed as

CataractCataract ExtractionAustraliaHumansIncidenceSocioeconomic Factors

Identifiers

PMID36156939
PMCPMC9507695

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.