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可避免盲症快速评估调查中低视力与盲症患病率之比的幅度及决定因素

Magnitude and Determinants of the Ratio between Prevalence of Low Vision and Blindness in Rapid Assessment of Avoidable Blindness Surveys.

作者信息

Kaphle Dinesh, Lewallen Susan

机构信息

a University of Cape Town , School of Public Health and Family Medicine , Cape Town , South Africa.

b Kilimanjaro Centre for Community Ophthalmology, International, Division of Ophthalmology , University of Cape Town , Cape Town , South Africa.

出版信息

Ophthalmic Epidemiol. 2017 Oct;24(5):287-293. doi: 10.1080/09286586.2017.1283045. Epub 2017 Mar 31.

Abstract

PURPOSE

To determine the magnitude and determinants of the ratio between prevalence of low vision and prevalence of blindness in rapid assessment of avoidable blindness (RAAB) surveys globally.

METHODS

Standard RAAB reports were downloaded from the repository or requested from principal investigators. Potential predictor variables included prevalence of uncorrected refractive error (URE) as well as gross domestic product (GDP) per capita, health expenditure per capita of the country across World Bank regions. Univariate and multivariate linear regression were used to investigate the correlation between potential predictor variables and the ratio.

RESULTS

The results of 94 surveys from 43 countries showed that the ratio ranged from 1.35 in Mozambique to 11.03 in India with a median value of 3.90 (Interquartile range 3.06;5.38). Univariate regression analysis showed that prevalence of URE (p = 0.04), logarithm of GDP per capita (p = 0.01) and logarithm of health expenditure per capita (p = 0.03) were significantly associated with the higher ratio. However, only prevalence of URE was found to be significant in multivariate regression analysis (p = 0.03).

CONCLUSION

There is a wide variation in the ratio of the prevalence of low vision to the prevalence of blindness. Eye care service utilization indicators such as the prevalence of URE may explain some of the variation across the regions.

摘要

目的

确定在全球可避免盲症快速评估(RAAB)调查中,低视力患病率与盲症患病率之比的大小及其决定因素。

方法

从资料库下载标准RAAB报告,或向主要研究者索取。潜在的预测变量包括未矫正屈光不正(URE)的患病率以及世界银行各区域国家的人均国内生产总值(GDP)和人均卫生支出。采用单变量和多变量线性回归来研究潜在预测变量与该比值之间的相关性。

结果

来自43个国家的94项调查结果显示,该比值范围从莫桑比克的1.35到印度的11.03,中位数为3.90(四分位间距3.06;5.38)。单变量回归分析表明,URE患病率(p = 0.04)、人均GDP对数(p = 0.01)和人均卫生支出对数(p = 0.03)与较高的比值显著相关。然而,在多变量回归分析中,仅发现URE患病率具有显著性(p = 0.03)。

结论

低视力患病率与盲症患病率之比存在很大差异。诸如URE患病率等眼保健服务利用指标可能解释了各区域之间的部分差异。

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