Approaches for delivery of refractive and optical care services in community and primary care settings.

BACKGROUND: Uncorrected refractive error is a leading cause of vision impairment which, in most cases, can be managed with the appropriate spectacle correction. In 2021, the World Health Assembly endorsed a global target of a 40-percentage-point increase in effective coverage of refractive error by 2030. To achieve this global target, equitable access to refractive and optical services within community and primary care settings needs to be strengthened. This review will inform the development of technical guidance to support improvements in the testing and correction of refractive error among World Health Organization (WHO) member states. OBJECTIVES: To determine the range of approaches for delivery of refractive and optical care services in community and primary care settings, and the methods employed for their evaluation. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase and Global Health databases, grey literature, and annual reports and websites of relevant organizations involved in eye-care delivery from January 2002 to November 2022 to identify approaches for refractive and optical service delivery. SELECTION CRITERIA: We included observational and interventional studies, reviews, and reports from relevant organizations related to delivering refractive services and optical services for preschool and school-aged children and adults in community and primary care settings published between January 2002 and November 2022. We searched for studies and reports published within the last 20 years because vision impairment due to uncorrected refractive error has only recently become a public health and eye health priority, therefore we did not expect to find much relevant literature until after 2002. DATA COLLECTION AND ANALYSIS: Two review authors screened titles, abstracts and full texts, and extracted data. We resolved any discrepancies through discussion. We synthesized data, and presented results as tables, figures, and case studies. This project was led by the World Health Organization (WHO) Vision and Eye Care Programme. MAIN RESULTS: We identified 175 studies from searches of databases and grey literature, 146 records from company reports, and 81 records from website searches of relevant organizations that matched our inclusion criteria. Delivery approaches for refractive and optical services in community care included school-based, pharmacy, and outreach models, whereas primary care approaches comprised vision centre, health centre, and a combination of vision or health centre and door-to-door delivery. In community care, school-based and outreach approaches were predominant, while in primary care, a vision-centre approach was mainly used. In the WHO African region, the school-based and outreach approaches were mainly reported while, in the Americas, the outreach approach was mostly used. Very few approaches for service delivery were reported in the WHO Eastern Mediterranean region. Prominent gaps exist in the evaluation of the approaches, and few studies attempted to evaluate the approaches for delivery of refractive and optical care services. AUTHORS' CONCLUSIONS: We comprehensively describe a range of approaches for delivery of refractive and optical services in community and primary care. Further evaluation of their effectiveness will better inform the application of these service-delivery approaches. The study outcomes will help guide WHO member states in strengthening refractive and optical services at community and primary care levels. FUNDING: This scoping review was supported by the Vision and Eye care Programme, World Health Organization and ATscale Global Partnership. REGISTRATION: The protocol of this scoping review was published in the Open Source Framework.

Monitoring hearing and vision functions in older adults: rationale and process.

Hearing and vision impairment are highly prevalent in ageing individuals and are significant public health concerns given their meaningful impacts on individuals and society. Yet, many cases of both visual and hearing impairment remain unidentified and thus, unaddressed. This article describes the rationale and process of monitoring for visual and hearing impairment in older adults, by summarising guidance and resources available from the World Health Organisation (WHO) that were developed based upon the best current available evidence. It is recommended that vision screening be offered at least annually to adults aged over 50 years and hearing screening be offered every 5 years to adults aged 50-64 years, and every 1-3 years to adults aged 65 years or older. Both hearing and vision screening can be conducted in community, home or clinical settings by trained health workers with simple equipment. More specifically, vision screening can be conducted with a simple eye chart. Hearing screening can be conducted without specialised equipment by using pure tones set to a fixed level, an automated mobile- or web-based digits-in-noise test, or the whispered voice test. Hearing screening can also be conducted in audiology clinics using pure-tone air conduction threshold testing. There exists WHO guidance to support the monitoring of hearing and vision impairment, which, when warranted, can facilitate referral for comprehensive assessment and prompt appropriate, person-centred interventions to mitigate the negative consequences of hearing and vision impairment.

Development of the WHO eye care competency framework.

BACKGROUND: The eye care workforce, particularly in lower resource settings, face challenges of limited integration into the health system, limited workforce capacity, mismatch of workforce to population need and poor quality of care. In recognition of these challenges, coupled with a gap in existing tools, provides a strong rationale for the development of the Eye care competency framework (ECCF). METHODS: A mixed methods approach was utilised to develop and validate the ECCF. Content was developed by extracting relevant components of existing frameworks used both within and outside of eye care. A diverse technical working group provided feedback and guidance on the structure, design, and content to create a preliminary draft. Competencies and activities were validated using a modified-Delphi study, and the framework was then piloted at four sites to understand how the tool can be implemented in different settings. RESULTS: The final version of the ECCF included eight outcomes, nine guiding principles, and content of each of the key elements, including the six domains, 22 competencies, 21 activities, 193 behaviours and 234 tasks, and the knowledge and skills that underpin them. 95/112 participants from the six WHO regions completed the modified-Delphi study, yielding an average of 96% agreement across the competencies and activities in the ECCF. The pilot showcased the versatility and flexibility of the ECCF, where each of the four sites had a different experience in implementing the ECCF. All sites found that the ECCF enabled them to identify gaps within their current workforce documentation. CONCLUSIONS: The ECCF was developed using a collaborative approach, reflecting the opinions of participants and stakeholders from all around the world. The comprehensive competencies and activities developed in the ECCF encompass the diverse roles of eye care workers, and thus encourage multi-disciplinary care and better integration into the health system. It is recommended that eye care workforce planners and developers use the ECCF, and adapt it to their context, to support workforce development and focus on the quality and scope of eye care service provision.

Identification and critical appraisal of evidence for interventions for refractive error to support the development of the WHO package of eye care interventions: a systematic review of clinical practice guidelines.

PURPOSE: The World Health Organization is developing a Package of Eye Care Interventions (PECI) to support the integration of eye health care into national health programmes. Interventions included in the PECI should be based on robust evidence where available. Refractive error is a leading cause of blindness and vision impairment and is a PECI priority condition. The aim of this study was to provide high-quality evidence to support the development of the PECI by identifying and critically appraising clinical practice guidelines (CPGs), and extracting recommendations for refractive error interventions. METHODS: We searched for CPGs on refractive error published in the last 10 years. We conducted the searches initially in February and March 2019 and repeated them in March 2020. We evaluated the quality of potentially relevant guidelines using the Appraisal of Guidelines for Research and Evaluation (AGREE) II tool. RESULTS: We identified 12 high-quality CPGs relevant to refractive error, written by six organisations from three high-income countries. Organisations used a variety of frameworks to assess the strength of recommendations based on available evidence, with the Grading of Recommendations Assessment, Development and Evaluation (GRADE) being most common. Vision screening for children aged 3 to 5 years was recommended consistently. Evidence for screening and eye evaluations at other ages was weaker, although ophthalmic professional organisations consistently recommended regular evaluations. Recommendations on optical and laser correction of refractive error were limited and did not consider implications for low resource settings. Interventions for slowing myopia progression in children were recommended, but these will need regular updating as new evidence emerges. CONCLUSIONS: Current high-quality guidelines on refractive error have been formulated in high-income countries. Recommendations focused on prevention and treatment of refractive error in low-and middle-income countries are lacking. Regular updating of systematic reviews and CPGs is essential to ensure that robust evidence is promptly appraised and incorporated into recommendations for eye health care practitioners.

Future burden of vision loss in Australia: Projections from the National Eye Health Survey.

IMPORTANCE: Projections of Australia's future burden of vision loss will inform eye health service delivery. BACKGROUND: This study aimed to forecast bilateral vision loss in Australia from 2020 to 2050. DESIGN: Population-based survey. PARTICIPANTS: Indigenous and non-indigenous Australians (n = 4253) aged ≥50 years from the National Eye Health Survey (NEHS, 2015-2016). METHODS: Using the age-and-sex-stratified prevalence of vision loss (better eye visual acuity <6/12) from the NEHS, the prevalence of, and number of people aged ≥50 years with, vision loss were forecast to 2050 using Australian census projections. MAIN OUTCOME MEASURE: Prevalence of, and number of Australians with, vision loss from 2020 to 2050. RESULTS: The prevalence of vision loss is predicted to increase from 6.7% to 7.5% by 2050. Owing to population dynamics, the estimated number of Australians ≥50 years old with vision loss will nearly double from 532 386 in 2016 to 1 015 021 in 2050. The greatest increase in vision loss is expected to occur in those aged ≥80 years (2.6-fold, 2016 = 144 240; 2050 = 376 296). The number of people with uncorrected refractive error is projected to increase 1.7-fold, from 331 914 in 2016 to 578 969 in 2050. CONCLUSIONS AND RELEVANCE: Due to population growth and ageing, the future burden of vision loss in Australia is likely to increase, but the magnitude of this change is uncertain due to a lack of available data on some relevant input variables. Nonetheless, efforts are required to ensure early detection and treatment of major eye conditions, particularly treatable conditions such as uncorrected refractive error and cataract.

Prevalence, associations and characteristics of severe uncorrected refractive error in the Australian National Eye Health Survey.

IMPORTANCE: In Australia, nationally representative data of the burden and associations of severe uncorrected refractive error are scarce. BACKGROUND: To report the prevalence and characteristics of severe uncorrected refractive error in Indigenous and non-Indigenous Australians. DESIGN: Population-based cross-sectional study. PARTICIPANTS: A total of 3098 non-Indigenous Australians aged 50 to 98 and 1738 Indigenous Australians aged 40 to 92 living in 30 randomly selected Australian sites were examined. METHODS: Severe uncorrected refractive error was defined as an improvement of ≥2 lines on the logMAR chart in one or both eyes in participants with a presenting visual acuity <6/12. MAIN OUTCOME MEASURE: Severe uncorrected refractive error RESULTS: Prevalence of severe uncorrected refractive error was 11.0% (95% confidence interval 9.3-13.0) in non-Indigenous and 14.5% (12.5-16.7) in Indigenous Australians. Eighty-two percent of non-Indigenous and 77% of Indigenous participants had a spherical equivalent refraction between -2.00D and +2.00D. Indigenous Australians who were older (odds ratio [OR] for 70-79 years vs 40-49 years = 3.59), resided in outer regional areas (OR = 1.78) and did not have an eye examination in the previous 2-years (OR = 1.50) were associated with higher odds of severe uncorrected refractive error. Geographical remoteness (OR = .68 for inner regional), male gender (OR = 1.30), older age (OR for 70-79 years vs 50-59 years = 1.51) and failure to have an eye examination in the previous 2-years (OR = 2.06) were associated with severe uncorrected refractive error among non-Indigenous participants. CONCLUSIONS AND RELEVANCE: Increased public awareness of the importance of regular optometric examinations may be required in groups at high risk of severe uncorrected refractive error.

Incidence and correction of vision impairment among elderly population in southern urban China.

IMPORTANCE: Data on the incidence of presenting vision impairment (PVI) and spectacle coverage rate (SCR) in urban China is limited. BACKGROUND: To estimate the 6-year incidence and risk factors for PVI and the SCR in urban Southern China. DESIGN: Population-based cohort study. PARTICIPANTS: A total of 1817 participants aged ≥35 years were identified from Guangzhou in 2008 at baseline and 1427 attended follow-up examination in 2014. METHODS: Presenting visual acuity (PVA) was measured using the ETDRS chart with habitual spectacles. Participants with PVA ≤20/40 underwent subjective refraction at the follow-up visit. Incidence of PVI was calculated using the WHO and US criteria, respectively. The met-need SCR was defined as the percentage of participants with PVA <20/40 that had been improved to ≥20/40 after correction. MAIN OUTCOME MEASURES: Incidence of PVI and SCR. RESULTS: Incidence of PVI was 8.3% (95%CI, 6.9-9.8) and 12.2% (95%CI, 10.5-14.0) based on the WHO and US definition, respectively. Older age, female, lower education level, more myopic spherical equivalent and worse PVA at baseline were significantly related to a higher PVI incidence based on the WHO criteria, with similar associations identified using the US criteria except for gender. The overall met-need SCR was 42.5%, and was lower among the elderly, more hyperopic participants or participants with lower education level. CONCLUSIONS AND RELEVANCE: The incidence of PVI is high in urban Southern China and spectacle wearing is available in less than half of those in need. This highlights the needs to promote spectacle coverage even in the urban population.

Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration from colour fundus photographs.

IMPORTANCE: Detection of early onset neovascular age-related macular degeneration (AMD) is critical to protecting vision. BACKGROUND: To describe the development and validation of a deep-learning algorithm (DLA) for the detection of neovascular age-related macular degeneration. DESIGN: Development and validation of a DLA using retrospective datasets. PARTICIPANTS: We developed and trained the DLA using 56 113 retinal images and an additional 86 162 images from an independent dataset to externally validate the DLA. All images were non-stereoscopic and retrospectively collected. METHODS: The internal validation dataset was derived from real-world clinical settings in China. Gold standard grading was assigned when consensus was reached by three individual ophthalmologists. The DLA classified 31 247 images as gradable and 24 866 as ungradable (poor quality or poor field definition). These ungradable images were used to create a classification model for image quality. Efficiency and diagnostic accuracy were tested using 86 162 images derived from the Melbourne Collaborative Cohort Study. Neovascular AMD and/or ungradable outcome in one or both eyes was considered referable. MAIN OUTCOME MEASURES: Area under the receiver operating characteristic curve (AUC), sensitivity and specificity. RESULTS: In the internal validation dataset, the AUC, sensitivity and specificity of the DLA for neovascular AMD was 0.995, 96.7%, 96.4%, respectively. Testing against the independent external dataset achieved an AUC, sensitivity and specificity of 0.967, 100% and 93.4%, respectively. More than 60% of false positive cases displayed other macular pathologies. Amongst the false negative cases (internal validation dataset only), over half (57.2%) proved to be undetected detachment of the neurosensory retina or RPE layer. CONCLUSIONS AND RELEVANCE: This DLA shows robust performance for the detection of neovascular AMD amongst retinal images from a multi-ethnic sample and under different imaging protocols. Further research is warranted to investigate where this technology could be best utilized within screening and research settings.

Visual span and cognitive factors affect Chinese reading speed.

Visual span, which is the number of recognizable letters seen without moving the eyes, has been proven to impose a sensory limitation for alphabetic reading speed (Chung, 2011; Chung, Legge, & Cheung, 2004; Lee, Kwon, Legge, & Gefroh, 2010; Legge, Ahn, Klitz, & Luebker, 1997; Legge, Hooven, Klitz, Stephen Mansfield, & Tjan, 2002; D. Yu, Cheung, Legge, & Chung, 2010). However, little is known about the effects of visual span on Chinese reading performance. Of note, Chinese text differs greatly from that of the alphabetic writing system. There are no spaces between words, and readers are forced to utilize their lexical knowledge to segment Chinese characters into meaningful words, thus increasing the relative importance of cognitive/linguistic factors in reading performance. Therefore, the aim of the present study is to explore whether visual span and cognitive/linguistic factors have independent effects on Chinese reading speed. Visual span profiles, cognitive/linguistic factors indicated by word frequency, and Chinese sentence-reading performance were collected from 28 native Chinese-speaking subjects. We found that the visual-span size and cognitive/linguistic factors independently contributed to Chinese sentence-reading speed (all ps < 0.05). We concluded that both the visual-span size and cognitive/linguistic factors represented bottlenecks for Chinese sentence-reading speed.

Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs.

PURPOSE: To assess the performance of a deep learning algorithm for detecting referable glaucomatous optic neuropathy (GON) based on color fundus photographs. DESIGN: A deep learning system for the classification of GON was developed for automated classification of GON on color fundus photographs. PARTICIPANTS: We retrospectively included 48 116 fundus photographs for the development and validation of a deep learning algorithm. METHODS: This study recruited 21 trained ophthalmologists to classify the photographs. Referable GON was defined as vertical cup-to-disc ratio of 0.7 or more and other typical changes of GON. The reference standard was made until 3 graders achieved agreement. A separate validation dataset of 8000 fully gradable fundus photographs was used to assess the performance of this algorithm. MAIN OUTCOME MEASURES: The area under receiver operator characteristic curve (AUC) with sensitivity and specificity was applied to evaluate the efficacy of the deep learning algorithm detecting referable GON. RESULTS: In the validation dataset, this deep learning system achieved an AUC of 0.986 with sensitivity of 95.6% and specificity of 92.0%. The most common reasons for false-negative grading (n = 87) were GON with coexisting eye conditions (n = 44 [50.6%]), including pathologic or high myopia (n = 37 [42.6%]), diabetic retinopathy (n = 4 [4.6%]), and age-related macular degeneration (n = 3 [3.4%]). The leading reason for false-positive results (n = 480) was having other eye conditions (n = 458 [95.4%]), mainly including physiologic cupping (n = 267 [55.6%]). Misclassification as false-positive results amidst a normal-appearing fundus occurred in only 22 eyes (4.6%). CONCLUSIONS: A deep learning system can detect referable GON with high sensitivity and specificity. Coexistence of high or pathologic myopia is the most common cause resulting in false-negative results. Physiologic cupping and pathologic myopia were the most common reasons for false-positive results.

Pulsatile interaction between the macro-vasculature and micro-vasculature: proof-of-concept among patients with type 2 diabetes.

PURPOSE: It is widely thought that excess pulsatile pressure from increased stiffness of large central arteries (macro-vasculature) is transmitted to capillary networks (micro-vasculature) and causes target organ damage. However, this hypothesis has never been tested. We sought to examine the association between macro- and micro-vasculature waveform features in patients with type 2 diabetes (i.e., those with elevated stiffness; T2D) compared with non-diabetic controls. METHODS: Among 13 T2D (68 ± 6 years, 39% male) and 15 controls (58 ± 11 years, 40% male) macro-vascular stiffness was determined via aortic pulse wave velocity (aPWV) and macro-vascular waveforms were measured using radial tonometry. Forearm micro-vascular waveforms were measured simultaneously with macro-vascular waveforms via low power laser Doppler fluxmetry. Augmentation index (AIx) was derived on macro- and micro-vascular waveforms. Target organ damage was assessed by estimated glomerular filtration rate (eGFR) and central retinal artery equivalent (CRAE). RESULTS: aPWV was higher among T2D (9.3 ± 2.5 vs 7.5 ± 1.4 m/s, p = 0.046). There was an obvious pulsatile micro-vascular waveform with qualitative features similar to macro-vasculature pressure waveforms. In all subjects, macro- and micro-vasculature AIx were significantly related (r = 0.43, p = 0.005). In T2D alone, micro-vasculature AIx was associated with eGFR (r = - 0.63, p = 0.037), whereas in controls, macro-vasculature AIx and AP were associated with CRAE (r = - 0.58, p = 0.025 and r = - 0.61, p = 0.015). CONCLUSIONS: Macro- and micro-vasculature waveform features are related; however, micro-vasculature features are more closely related to markers of target organ damage in T2D. These findings are suggestive of a possible interaction between the macro- and micro-circulation.

Utilization of eye health-care services in Australia: the National Eye Health Survey.

IMPORTANCE: National data on eye health-care service utilization will inform Australia's eye health policy. BACKGROUND: To investigate the utilization of eye health-care services by Australians. DESIGN: Cross-sectional survey. PARTICIPANTS: Indigenous Australians aged 40 years and older and non-Indigenous Australians aged 50 years and older. METHODS: One thousand seven hundred thirty-eight Indigenous Australians and 3098 non-Indigenous Australians were recruited from 30 randomly selected sites, stratified by remoteness. Sociodemographic, ocular history and eye health-care service utilization data were collected, and an eye examination was conducted. MAIN OUTCOME MEASURES: Recentness of eye examinations, types of providers used and associated risk factors. RESULTS: Approximately 67.0% of Indigenous Australians and 82.5% of non-Indigenous Australians underwent an eye examination within the previous 2 years. Indigenous status (P < 0.001), male gender (P < 0.001), Outer Regional (P < 0.001) and Very Remote (P < 0.001) residence were associated with less recent examinations. Participants with >self-reported eye disease or diabetes were most likely to have been examined within the past year (P < 0.001). For Indigenous Australians, older age was associated with recent eye testing (P = 0.001). Those with retinal disease and cataract were more likely to see an ophthalmologist (P < 0.001), and those with refractive error were more likely to see an optometrist (P < 0.001). In Regional Australia, non-Indigenouspeople were more likely to see optometrists (P < 0.001), and Indigenous Australians were more likely to utilize other, non-specialistservices (P < 0.001). CONCLUSIONS AND RELEVANCE: Eye examination frequency has improved in Indigenous and non-Indigenous Australians compared with previous population-based research. Further improvements are required in risk groups including Indigenous Australians and those living in Regional and Remote areas.

Prevalence and characteristics of choroidal nevi: the Australian National Eye Health Survey.

IMPORTANCE: Choroidal nevi are a common incidental finding on fundus examination. The National Eye Health Survey (NEHS, 2015-2016) provides an up-to-date estimate of the prevalence of choroidal nevi in non-Indigenous and Indigenous Australian adults. BACKGROUND: To describe the prevalence and characteristics of choroidal nevi among non-Indigenous and Indigenous Australian adults. DESIGN: Population-based cross-sectional study. PARTICIPANTS: This study included 3098 non-Indigenous Australians (aged 50-98 years) and 1738 Indigenous Australians (aged 40-92 years) living in 30 randomly selected sites, stratified by remoteness. METHODS: Choroidal nevi were graded from retinal photographs using standard protocols. MAIN OUTCOME MEASURES: Prevalence of choroidal nevi. RESULTS: In the non-Indigenous population aged 50 years and over, the weighted prevalence of choroidal nevi was 2.1% (95% CI: 1.4, 3.3). Among Indigenous Australians aged 40 years and over, the weighted prevalence of choroidal nevi was 0.68% (95% CI: 0.4, 1.3). The average maximum diameter, surface area and distance from the disc of the choroidal nevi was 1730 µm, 2 766 800 µm2 and 3400 µm, respectively. After multivariate adjustments, Indigenous participants (OR = 0.28, P = 0.01) and those of older age (OR = 0.79 per 10 years, P = 0.02) were less likely to have choroidal nevi. Choroidal nevus was not the primary cause of vision loss in any participant. CONCLUSIONS AND RELEVANCE: Choroidal nevi were relatively infrequent among NEHS participants, however non-Indigenous Australians had a significantly higher prevalence than Indigenous Australians. Choroidal nevi did not affect visual acuity and the majority were small.

Prevalence of retinal vein occlusion in the Australian National Eye Health Survey.

IMPORTANCE: In Australia, knowledge of the epidemiology of retinal vein occlusion remains scarce because of a paucity of recent population-based data. The National Eye Health Survey (2015-2016) provides an up-to-date estimate of the prevalence of retinal vein occlusion in non-Indigenous and Indigenous Australian adults. BACKGROUND: To determine the prevalence and associations of retinal vein occlusion in a national sample of Indigenous and non-Indigenous Australian adults. DESIGN: Population-based cross-sectional study. PARTICIPANTS: A total of 3098 non-Indigenous Australians (aged 50-98 years) and 1738 Indigenous Australians (aged 40-92 years) living in 30 randomly selected sites, stratified by remoteness. METHODS: Retinal vein occlusions were graded from retinal photographs using standardized protocols and recorded as central retinal vein occlusion or branch retinal vein occlusion. MAIN OUTCOME MEASURE: Prevalence of retinal vein occlusion. RESULTS: In the non-Indigenous population, the sampling weight adjusted prevalence of any retinal vein occlusion was 0.96% (95% confidence interval: 0.59, 1.6), with branch retinal vein occlusion observed in 0.72% (95% confidence interval: 0.41, 1.2) and central retinal vein occlusion in 0.24% (95% confidence interval: 0.13, 0.47). Any retinal vein occlusion was found in 0.91% (95% confidence interval: 0.47, 1.7) of Indigenous Australians aged 40 years and over, with branch retinal vein occlusion observed in 0.83% (95% confidence interval: 0.40, 1.7) and central retinal vein occlusion in 0.07% (95% confidence interval: 0.02, 0.32). Older age (odds ratio = 1.64 per 10 years, P = 0.006) and the presence of self-reported diabetes (odds ratio = 3.24, P = 0.006) were associated with any retinal vein occlusion after multivariable adjustments. Retinal vein occlusion was attributed as the cause of monocular vision loss (<6/12) in seven (0.25%) non-Indigenous and six (0.36%) Indigenous participants. CONCLUSIONS AND RELEVANCE: These data suggest that retinal vein occlusion is relatively uncommon in the non-Indigenous Australians aged 50 years and over and Indigenous Australians aged 40 years and over. Similar to previous Australian and international reports, the prevalence of retinal vein occlusion rose sharply with age.

Prevalence of trachomatous trichiasis in Australia: the National Eye Health Survey.

IMPORTANCE: Australia is the only developed country to still have pockets of endemic trachoma. The research provides up-to-date, population-based prevalence data of later complications of trachoma amongst a national sample of Indigenous adults. BACKGROUND: To report the prevalence of trachomatous trichiasis (TT) in Indigenous Australians aged 40 years and older. DESIGN: Population-based cross-sectional study. PARTICIPANTS: A total of 1738 (41% male) Indigenous Australians aged 40 years or older, living amongst 30 randomly selected Australian sites, stratified by remoteness. METHODS: Anterior segment examination was performed and trachoma grading for the presence of TT and corneal opacification (CO) was conducted using the WHO (WHO) simplified grading system. MAIN OUTCOME MEASURES: Prevalence of TT. RESULTS: A total of three (0.17%) participants had TT, and there were no confirmed cases of trachomatous CO in the NEHS. All three participants with TT were female and aged 40 years or older. Although they had likely spent their childhoods in more remote areas, two of the three confirmed cases resided in an urban and outer regional area at the time of their examinations. CONCLUSIONS AND RELEVANCE: Our data are in line with ongoing national trachoma surveillance reports that suggest the prevalence of late sequences of trachoma appear to be decreasing in Australia.

The Prevalence of Diabetic Retinopathy in Australian Adults with Self-Reported Diabetes: The National Eye Health Survey.

PURPOSE: To determine the prevalence of and factors associated with diabetic retinopathy (DR) among non-Indigenous and Indigenous Australian adults with self-reported diabetes. DESIGN: Population-based cross-sectional study. PARTICIPANTS: Non-Indigenous Australians (50-98 years of age) and Indigenous Australians (40-92 years of age) with known diabetes. METHODS: Diabetes was determined based on self-report of previous diagnosis of the disease. Nonmydriatic fundus photographs were obtained of each eye and graded according to the modified Airlie House classification system. MAIN OUTCOME MEASURES: Any DR, vision-threatening DR (VTDR), treatment coverage rates (proportion of participants with proliferative DR [PDR], clinically significant macular edema [CSME], or both who had evidence of retinal scatter and focal laser treatment). RESULTS: Four hundred thirty-one non-Indigenous Australians (13.9%) and 645 Indigenous Australians (37.1%) self-reported diabetes, of whom 93% (1004/1076) had retinal images that were gradable for DR. The sampling weight-adjusted prevalence of any DR and VTDR among non-Indigenous adults with self-reported diabetes was 28.5% (95% confidence interval [CI], 22.6-35.3) and 4.5% (95% CI, 2.6-7.9), respectively. Among adults 40 years of age and older, the sampling weight-adjusted prevalence of any DR and VTDR was 39.4% (95% CI, 33.1-46.1) and 9.5% (95% CI, 6.8-13.1), respectively. Longer diabetes duration was associated significantly with VTDR in the Indigenous Australian population (odds ratio [OR], 1.08 per 1-year increase; P = 0.005) and non-Indigenous Australian population (OR, 1.05 per 1-year increase; P = 0.03). The treatment coverage of PDR and CSME was 75% (56/75) in Indigenous Australians and 79% (15/19) in non-Indigenous Australians. Diabetic retinopathy was attributed as the main cause of vision loss (<6/12 in the better eye) in 9% and 19% of non-Indigenous and Indigenous Australian adults with known diabetes, respectively. CONCLUSIONS: Three quarters of non-Indigenous and Indigenous Australian adults with PDR or CSME have received laser treatment. The prevalence of VTDR in Indigenous and non-Indigenous Australians in the present study was lower than that found in previous population-based reports, nevertheless, approximately 1 in 10 Indigenous adults with known diabetes experience VTDR. This highlights that intensified prevention strategies are required to delay or prevent avoidable vision loss resulting from DR in Indigenous Australian communities.

The Prevalence and Causes of Vision Loss in Indigenous and Non-Indigenous Australians: The National Eye Health Survey.

PURPOSE: To conduct a nationwide survey on the prevalence and causes of vision loss in Indigenous and non-Indigenous Australians. DESIGN: Nationwide, cross-sectional, population-based survey. PARTICIPANTS: Indigenous Australians aged 40 years or older and non-Indigenous Australians aged 50 years and older. METHODS: Multistage random-cluster sampling was used to select 3098 non-Indigenous Australians and 1738 Indigenous Australians from 30 sites across 5 remoteness strata (response rate of 71.5%). Sociodemographic and health data were collected using an interviewer-administered questionnaire. Trained examiners conducted standardized eye examinations, including visual acuity, perimetry, slit-lamp examination, intraocular pressure, and fundus photography. The prevalence and main causes of bilateral presenting vision loss (visual acuity <6/12 in the better eye) were determined, and risk factors were identified. MAIN OUTCOME MEASURES: Prevalence and main causes of vision loss. RESULTS: The overall prevalence of vision loss in Australia was 6.6% (95% confidence interval [CI], 5.4-7.8). The prevalence of vision loss was 11.2% (95% CI, 9.5-13.1) in Indigenous Australians and 6.5% (95% CI, 5.3-7.9) in non-Indigenous Australians. Vision loss was 2.8 times more prevalent in Indigenous Australians than in non-Indigenous Australians after age and gender adjustment (17.7%, 95% CI, 14.5-21.0 vs. 6.4%, 95% CI, 5.2-7.6, P < 0.001). In non-Indigenous Australians, the leading causes of vision loss were uncorrected refractive error (61.3%), cataract (13.2%), and age-related macular degeneration (10.3%). In Indigenous Australians, the leading causes of vision loss were uncorrected refractive error (60.8%), cataract (20.1%), and diabetic retinopathy (5.2%). In non-Indigenous Australians, increasing age (odds ratio [OR], 1.72 per decade) and having not had an eye examination within the past year (OR, 1.61) were risk factors for vision loss. Risk factors in Indigenous Australians included older age (OR, 1.61 per decade), remoteness (OR, 2.02), gender (OR, 0.60 for men), and diabetes in combination with never having had an eye examination (OR, 14.47). CONCLUSIONS: Vision loss is more prevalent in Indigenous Australians than in non-Indigenous Australians, highlighting that improvements in eye healthcare in Indigenous communities are required. The leading causes of vision loss were uncorrected refractive error and cataract, which are readily treatable. Other countries with Indigenous communities may benefit from conducting similar surveys of Indigenous and non-Indigenous populations.

Adherence to diabetic eye examination guidelines in Australia: the National Eye Health Survey.

OBJECTIVE: To determine adherence to NHMRC eye examination guidelines for Indigenous and non-Indigenous Australian people with diabetes. DESIGN: Cross-sectional survey using multistage, random cluster sampling. SETTING: Thirty randomly selected geographic sites in the five mainland Australian states and the Northern Territory, stratified by remoteness. PARTICIPANTS: 1738 Indigenous Australians aged 40-92 years and 3098 non-Indigenous Australians aged 50-98 years were recruited and examined between March 2015 and April 2016 according to a standardised protocol that included a questionnaire (administered by an interviewer) and a series of standard eye tests. MAIN OUTCOME MEASURES: Adherence rates to NHMRC eye examination guidelines; factors influencing adherence. RESULTS: Adherence to screening recommendations was significantly greater among non-Indigenous Australians (biennial screening; 77.5%) than Indigenous Australians (annual screening; 52.7%; P < 0.001). Greater adherence by non-Indigenous Australians was associated with longer duration of diabetes (adjusted odds ratio [aOR], 1.19 per 5 years; P = 0.018), while increasing age was associated with poorer adherence in non-Indigenous Australians (aOR, 0.70 per decade; P = 0.011). For Indigenous Australians, residing in inner regional areas (aOR, 1.66; P = 0.007) and being male (aOR, 1.46; P = 0.018) were significant factors positively associated with adherence. CONCLUSIONS: More than three-quarters of non-Indigenous Australians with diabetes and more than half of Indigenous Australians with diabetes adhere to the NHMRC eye examination guidelines. The discrepancy between the adherence rates may point to gaps in the provision or uptake of screening services in Indigenous communities, or a lack of awareness of the guidelines. A carefully integrated diabetic retinopathy screening service is needed, particularly in remote areas, to improve adherence rates.

Cataract surgery coverage rates for Indigenous and non-Indigenous Australians: the National Eye Health Survey.

OBJECTIVE: To determine cataract surgery coverage rates for Indigenous and non-Indigenous Australians. DESIGN: National cross-sectional population-based survey. SETTING: Thirty randomly selected Australian geographic sites, stratified by remoteness. PARTICIPANTS: 3098 non-Indigenous Australians aged 50 years or more and 1738 Indigenous Australians aged 40 years or more, recruited and examined in the National Eye Health Survey (NEHS) between March 2015 and April 2016. METHODS: Participants underwent an interviewer-administered questionnaire that collected socio-demographic information and past ocular care history, including cataract surgery. For those with visual acuity worse than 6/12, anterior segment photography and slit lamp examinations were conducted. MAIN OUTCOME MEASURES: Cataract surgery coverage rates according to WHO and NEHS definitions; associated risk factors. RESULTS: Cataract surgery coverage rates calculated with the NEHS definition 1 of vision impairment (visual acuity worse than 6/12) were lower for Indigenous than non-Indigenous participants (58.5% v 88.0%; odds ratio [OR], 0.32; P < 0.001). According to the World Health Organization definition (eligibility criterion: best-corrected visual acuity worse than 6/18), coverage rates were 92.5% and 98.9% for Indigenous and non-Indigenous Australians respectively. Greater age was significantly associated with higher cataract surgery coverage in Indigenous (OR, 1.41 per 10 years; P = 0.048) and non-Indigenous Australians (OR, 1.58 per 10 years; P = 0.004). CONCLUSIONS: The cataract surgery coverage rate was higher for non-Indigenous than Indigenous Australians, indicating the need to improve cataract surgery services for Indigenous Australians. The WHO definition of the coverage rate may overestimate the cataract surgery coverage rate in developed nations and should be applied with caution.