Bourne Rupert Richard Alexander, Cicinelli Maria Vittoria, Selby David A, Sedighi Tabassom, Tapply Ian H, McCormick Ian, Jonas Jost B, Abdianwall Mohammad H, Bikbov Mukharram M, Braithwaite Tasanee, Burton Matthew J, Carneiro Vera, Casson Robert J, Cheng Ching-Yu, Congdon Nathan G, Creuzot-Garcher Catherine, Ellwein Leon B, Emamian Mohammad Hassan, Fotouhi Akbar, Fricke Timothy R, Friedman David S, Furtado João M, George Ronnie, Gupta Noopur, Han Xiaotong, Hashemi Hassan, He Mingguang, Hydara Abba, Iwase Aiko, Kazakbaeva Gyulli, Khandekar Rajiv B, Khanna Rohit C, Kyari Fatima, Luque Luisa C, Marmamula Srinivas, Müller Andreas, Nangia Vinay, Naidoo Kovin S, Ramke Jacqueline, Ruamviboonsuk Paisan, Salomão Solange R, Taylor Hugh R, Tham Yih C, Topouzis Fotis, Varma Rohit, Vijaya Lingam, Wang Ningli, Wang Ya Xing, Wong Tien Y, Yan Hua, Flaxman Seth R, Keel Stuart, Resnikoff Serge
Vision & Eye Research Institute, Anglia Ruskin University, Cambridge, UK.
Department of Ophthalmology, San Raffaele Hospital, Milan, Italy.
Lancet Glob Health. 2025 May 22. doi: 10.1016/S2214-109X(25)00194-9.
In 2024, WHO included effective refractive error coverage (eREC) into the results framework of the 14th General Programme of Work, which sets a road map for global health and guides WHO's work between 2025 and 2028. eREC is a measure of both the availability and quality of refractive correction in a population. This study aimed to model global and regional estimates of eREC as of 2023 and evaluate progress towards the WHO global target of a 40 percentage-point absolute increase in eREC by 2030.
For this systematic review and meta-analysis, the Vision Loss Expert Group analysed data from 237 population-based eye surveys conducted in 76 countries since 2000, comprising 815 273 participants, to calculate eREC (met need / met need + undermet need + unmet need]) and the relative quality gap between eREC and REC ([REC - eREC] / REC × 100, where REC = [met + undermet need] / [met need + undermet need + unmet need]). An expert elicitation process was used to choose covariates for a Bayesian logistic regression model used to estimate eREC by country-age-sex grouping among adults aged 50 years and older. Country-age-sex group estimates were aggregated to provide estimates according to Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) super-regions.
Global eREC was estimated to be 65·8% (95% uncertainty interval [UI] 64·7-66·8) in 2023, 6 percentage points higher than in 2010 (eREC 59·8% [59·4-60·2]). There were marked differences in eREC between GBD super-regions in 2023, ranging from 84·0% (95% UI 83·0-85·0) in high-income countries to 28·3% (26·4-30·4) in sub-Saharan Africa. In all super-regions, eREC was lower in females than males, and decreased with increasing age among adults aged ≥50 years. Since 2000, the relative increase in eREC was 60·2% in sub-Saharan Africa, 45·7% in North Africa and the Middle East, 41·5% in southeast Asia, east Asia and Oceania, 40·3% in south Asia, 16·2% in Latin America and the Caribbean, 8·3% in central Europe, eastern Europe and central Asia, and 6·8% in the high-income super-region. The relative quality gap ranged from 2·9% to 78·3% across studies, with larger gaps characteristically in regions of lower eREC. Globally, the percentage of those with a refractive need that was undermet reduced between 2000 and 2023, from 10·0% (95% UI 9·5-10·5) to 5·3% (5·1-5·5).
The current trajectory of improvement in eREC and the relative quality gap are insufficient to meet the 2030 target. Global efforts to equitably increase spectacle coverage, such as the WHO SPECS 2030 initiative, and to address equity failings associated with geography, age, and sex, are crucial to accelerating progress towards the 2030 targets. No region is close to achieving universal coverage.
WHO, Sightsavers, The Fred Hollows Foundation, Fondation Thea, University of Heidelberg, German Federal Ministry for Education and Research.
For the French, Chinese and Spanish translations of the abstract see Supplementary Materials section.
2024年,世界卫生组织将有效屈光不正矫正覆盖率(eREC)纳入了《第14个工作总规划》的成果框架,该规划为全球卫生制定了路线图,并指导世界卫生组织在2025年至2028年期间的工作。eREC是衡量人群中屈光矫正的可及性和质量的指标。本研究旨在模拟截至2023年的全球和区域eREC估计值,并评估朝着世界卫生组织到2030年将eREC绝对提高40个百分点的全球目标取得的进展。
对于这项系统评价和荟萃分析,视力丧失专家组分析了自2000年以来在76个国家进行的237项基于人群的眼部调查的数据,这些调查涵盖815273名参与者,以计算eREC(满足的需求/[满足的需求+未充分满足的需求+未满足的需求])以及eREC与REC之间的相对质量差距([REC - eREC]/REC×100,其中REC = [满足的需求+未充分满足的需求]/[满足的需求+未充分满足的需求+未满足的需求])。采用专家征询过程为贝叶斯逻辑回归模型选择协变量,该模型用于按国家-年龄-性别分组估计50岁及以上成年人的eREC。将国家-年龄-性别组估计值汇总,以根据全球疾病、伤害和风险因素研究(GBD)超级区域提供估计值。
2023年全球eREC估计为65.8%(95%不确定区间[UI]64.7 - 66.8),比2010年高6个百分点(eREC为59.8%[59.4 - 60.2])。2023年GBD超级区域之间的eREC存在显著差异,从高收入国家的84.0%(95% UI 83.0 - 85.0)到撒哈拉以南非洲的28.3%(26.4 - 30.4)。在所有超级区域中,女性的eREC低于男性,并且在50岁及以上的成年人中随年龄增长而降低。自2000年以来,撒哈拉以南非洲的eREC相对增幅为60.2%,北非和中东为45.7%,东南亚、东亚和大洋洲为41.5%,南亚为40.3%,拉丁美洲和加勒比地区为16.2%,中欧、东欧和中亚为8.3%,高收入超级区域为6.8%。各项研究中的相对质量差距在从2.9%到78.3%之间,在eREC较低的地区差距通常更大。全球范围内,2000年至2023年期间未充分满足屈光需求的人群比例从10.0%(95% UI 9.5 - 10.5)降至5.3%(5.1 - 5.5)。
eREC和相对质量差距目前的改善轨迹不足以实现2030年目标。全球为公平增加眼镜覆盖率所做的努力,如世界卫生组织的2030年视力矫正倡议,以及解决与地理、年龄和性别相关的公平性缺陷,对于加快实现2030年目标至关重要。没有一个地区接近实现普遍覆盖。
世界卫生组织、防盲救星国际、弗雷德·霍洛基金会、西娅基金会、海德堡大学、德国联邦教育与研究部。
摘要的法语、中文和西班牙语翻译见补充材料部分。