Grand Challenges in global eye health: a global prioritisation process using Delphi method

Immediate versus delayed sequential bilateral ICL implantation: A retrospective comparison of vault height and visual outcomes

PURPOSE

To compare the visual outcomes and risks of suboptimal vault-related complications between immediate sequential bilateral ICL surgery (ISBICLS) and delayed sequential bilateral ICL surgery (DSBICLS).

DESIGN

A retrospective cohort study.

METHODS

Patients who underwent bilateral ICL implantation between November 2014 and December 2021 at the Eye and ENT Hospital of Fudan University (Shanghai, China) were included and divided into two groups: (1) ISBICLS: both eye surgeries performed on the same day, and (2) DSBICLS: second eye surgery performed < 7 days following the first one. Propensity score matching (PSM) was performed to compare the visual outcomes. Multivariable logistic regression models were used to estimate the odds ratios (ORs) of the suboptimal vaults.

RESULTS

Finally, 10,985 eyes were included. After PSM, 204 first surgery eyes and 162 s surgery eyes with complete postoperative data were matched. The safety and efficacy indices did not statistically differ between groups (all > 1.00), except that ISBICLS first surgery eyes achieved better efficacy index than DSBICLS group (1.03 ± 0.26 vs. 1.08 ± 0.23, P = 0.034). Excessive vault was observed in eight (4.06 %) ISBICLS first eyes, one (0.50 %) DSBICLS first eye, and none in the second surgery eye in either group. An insufficient vault was observed in one second eye and one DSBICLS second eye. We found no evidence of differences in the rate of excessive vault (OR = 0.831, 95 % CI: 0.426-1.622, P = 0.588) or insufficient vault (OR = 0.609, 95 % CI:0.062-5.850, P = 0.668).

CONCLUSION

ISBICLS provided safety, efficacy, and refraction predictability comparable to DSBICLS without increasing the risk of suboptimal vault-related complications.

ACcurate COnsensus Reporting Document (ACCORD) explanation and elaboration: Guidance and examples to support reporting consensus methods

BACKGROUND

When research evidence is limited, inconsistent, or absent, healthcare decisions and policies need to be based on consensus among interested stakeholders. In these processes, the knowledge, experience, and expertise of health professionals, researchers, policymakers, and the public are systematically collected and synthesised to reach agreed clinical recommendations and/or priorities. However, despite the influence of consensus exercises, the methods used to achieve agreement are often poorly reported. The ACCORD (ACcurate COnsensus Reporting Document) guideline was developed to help report any consensus methods used in biomedical research, regardless of the health field, techniques used, or application. This explanatory document facilitates the use of the ACCORD checklist.

METHODS AND FINDINGS

This paper was built collaboratively based on classic and contemporary literature on consensus methods and publications reporting their use. For each ACCORD checklist item, this explanation and elaboration document unpacks the pieces of information that should be reported and provides a rationale on why it is essential to describe them in detail. Furthermore, this document offers a glossary of terms used in consensus exercises to clarify the meaning of common terms used across consensus methods, to promote uniformity, and to support understanding for consumers who read consensus statements, position statements, or clinical practice guidelines (CPGs). The items are followed by examples of reporting items from the ACCORD guideline, in text, tables, and figures.

CONCLUSIONS

The ACCORD materials-including the reporting guideline and this explanation and elaboration document-can be used by anyone reporting a consensus exercise used in the context of health research. As a reporting guideline, ACCORD helps researchers to be transparent about the materials, resources (both human and financial), and procedures used in their investigations so readers can judge the trustworthiness and applicability of their results/recommendations.

A practical model for effective eye care delivery in Southeast Asian rural communities: A proposal built based on experts' recommendations

PURPOSE

To evaluate rural community-based eye care models from the perspective of community ophthalmology experts and suggest sustainable technological solutions for enhancing rural eye care delivery.

METHODS

A semi-structured descriptive survey, using close-ended and open-ended questions, was administered to the experts in community ophthalmology sourced through purposive sampling. The survey was self-administered and was facilitated through online platforms or in-person meetings. Uniform questions were presented to all participants, irrespective of their roles.

RESULTS

Surveyed participants (n = 22 with 15 from India and 7 from Nepal) in high-volume tertiary eye hospitals faced challenges with resources and rural outreach. Participants had mixed satisfaction with pre-operative screening and theatre resources. Delayed presentations and inexperienced surgeons contributed to the surgery complications. Barriers to rural eye care included resource scarcity, funding disparities, and limited infrastructure. In rural/peri-urban areas 87% of participants agreed with providing primary eye care services, with more than 60% of the experts not in agreement with the makeshift center model of eye care delivery. Key components for an effective eye care model are sustainability, accessibility, affordability, and quality. These can be bolstered through a healthcare management platform and a human-chain supply distribution system.

CONCLUSION

Tailored interventions are crucial for rural eye care, emphasizing the need for stronger human resources, optimized funding, and community awareness. Addressing challenges pertinent to delayed presentation and surgical training is vital to minimizing complications, especially with advanced cataracts. Enhancements in rural eye care demand a comprehensive approach prioritizing accessibility, affordability, and consistent quality.

A Review of the Published Literature in Global Population-Based Studies of Childhood Blindness and Vision Impairment

PURPOSE

Reducing childhood blindness and vision impairment (BVI) remains a global health priority. Our purpose was to summarize the peer-reviewed literature to date on measuring and reporting childhood BVI using population-based surveys and vision examinations.

METHODS

We conducted a scoping review of published studies that aimed to report BVI prevalence in children or studies that aimed to report BVI prevalence in the general population but which also included children. There were 201 articles identified for abstract review, and 86 studies were included in the final review.

RESULTS

There were 52 studies (60%) that specifically aimed to investigate prevalence of blindness and/or vision impairment among child populations, while the remaining 34 studies aimed to study BVI in the general population but still reported data for age ranges that included children. The majority of researchers used the WHO criteria for blindness and vision impairment, sometimes with modifications. Age definitions for children varied considerably, with maximum cutoffs ranging from 3 to 20 years.

CONCLUSION

The available literature on childhood blindness indicates that while there has been substantial progress towards establishing an evidence base, more remains to be accomplished in terms of addressing gaps in understanding of the true prevalence and impacts of childhood blindness and vision loss. All studies in this review cited the need for improved vision care services, either for all ages or for the childhood years in particular.

The Rapid Assessment of Avoidable Blindness survey: Review of the methodology and protocol for the seventh version (RAAB7)

The Rapid Assessment of Avoidable Blindness (RAAB) is a population-based cross-sectional survey methodology used to collect data on the prevalence of vision impairment and its causes and eye care service indicators among the population 50 years and older. RAAB has been used for over 20 years with modifications to the protocol over time reflected in changing version numbers; this paper describes the latest version of the methodology-RAAB7. RAAB7 is a collaborative project between the International Centre for Eye Health and Peek Vision with guidance from a steering group of global eye health stakeholders. We have fully digitised RAAB, allowing for fast, accurate and secure data collection. A bespoke Android mobile application automatically synchronises data to a secure Amazon Web Services virtual private cloud when devices are online so users can monitor data collection in real-time. Vision is screened using Peek Vision's digital visual acuity test for mobile devices and uncorrected, corrected and pinhole visual acuity are collected. An optional module on Disability is available. We have rebuilt the RAAB data repository as the end point of RAAB7's digital data workflow, including a front-end website to access the past 20 years of RAAB surveys worldwide. This website ( https://www.raab.world) hosts open access RAAB data to support the advocacy and research efforts of the global eye health community. Active research sub-projects are finalising three new components in 2024-2025: 1) Near vision screening to address data gaps on near vision impairment and effective refractive error coverage; 2) an optional Health Economics module to assess the affordability of eye care services and productivity losses associated with vision impairment; 3) an optional Health Systems data collection module to support RAAB's primary aim to inform eye health service planning by supporting users to integrate eye care facility data with population data.

Child eye health in Ethiopia: a mixed methods analysis of policy and commitment to action

BACKGROUND

Child eye health is a serious public health issue in Ethiopia, where children under the age of 15 account for over half of the population. Our aim was to review Ethiopian health policy and practice to reveal approaches and commitment to promotion and delivery of child eye health services.

METHODS

We conducted a mixed-methods situational analysis employing documentary analysis and key informant interview methods. Government publications touching on any element of child eye health were included. Key informants were eligible if they were leaders, authorities, researchers or clinicians involved in child health. Data was combined and analysed by narrative synthesis, using an adaptation of the Eye Care Situation Analysis Tool as a framework.

FINDINGS

Eleven documents developed by the Ministries of Health and Education were included and interviews with 14 key informants were conducted. A focus on child eye health was lacking in key health policy documents, demonstrated by limited allocation of funds, a shortage of human resources, and a subpar referral system across all levels of child eye care.

CONCLUSION

The study identified several gaps and limitations in child eye health in Ethiopia. There is a need for health policies that strengthen ownership, finance and partnerships for improved coordination, and collaboration with line ministries and other stakeholders to improve child eye health services in Ethiopia.

Cybersecurity in Internet of Medical Vehicles: State-of-the-Art Analysis, Research Challenges and Future Perspectives

The "Internet-of-Medical-Vehicles (IOMV)" is one of the special applications of the Internet of Things resulting from combining connected healthcare and connected vehicles. As the IOMV communicates with a variety of networks along its travel path, it incurs various security risks due to sophisticated cyber-attacks. This can endanger the onboard patient's life. So, it is critical to understand subjects related to "cybersecurity" in the IOMV to develop robust cybersecurity measures. In this paper, the goal is to evaluate recent trends and state-of-the-art publications, gaps, and future outlooks related to this research area. With this aim, a variety of publications between 2016 and 2023 from "Web-of-Science" and "Scopus" databases were analysed. Our analysis revealed that the IOMV is a niche and unexplored research area with few defined standards and frameworks, and there is a great need to implement robust cybersecurity measures. This paper will help researchers to gain a comprehensive idea of this niche research topic, as it presents an analysis of top journals and highly cited papers, their challenges and limitations, the system model and architecture of the IOMV, related applicable standards, potential cyber-attacks, factors causing cybersecurity risks, various artificial intelligence techniques for developing potential countermeasures, the assessment and parameterisation of cybersecurity risks, constraints and challenges, and future outlooks for implementing cybersecurity measures in the IOMV.

Identifying strategic priorities for advancing global drowning prevention: a Delphi method

INTRODUCTION

The burden of drowning is gaining prominence on the global agenda. Two United Nations system resolutions in 3 years reflect rising political support, but priorities remain undefined, and the issue lacks a global strategy. We aimed to identify strategic priorities for advancing global drowning prevention using a modified Delphi method.

METHODS

An advisory group was formed, and participants recruited with diverse expertise and backgrounds. We used document review, and data extracted from global health partnerships to identify strategic domains and draft priorities for global drowning prevention. Participants rated the priorities in two Delphi rounds, guided by relevance, feasibility and impact on equity, and where consensus was ≥70% of participants rating the priority as critical.

RESULTS

We recruited 134 participants from research (40.2%), policy (26.9%), technical (25.4%) and community (7.5%) backgrounds, with 38.1% representing low- and middle-income countries. We drafted 75 priorities. Following two Delphi rounds, 50 priorities were selected across the seven domains of research and further contextualisation, best practice guidance, capacity building, engagement with other health and sustainable development agendas, high-level political advocacy, multisectoral action and strengthening inclusive global governance. Participants scored priorities based on relevance (43.2%), feasibility (29.4%) and impact on equity (27.4%).

CONCLUSION

Our study identifies global priorities for drowning prevention and provides evidence for advocacy of drowning prevention in all pertinent policies, and in all relevant agendas. The priorities can be applied by funders to guide investment, by researchers to frame study questions, by policymakers to contrast views of expert groups and by national coalitions to anchor national drowning prevention plans. We identify agendas including disaster risk reduction, sustainable development, child and adolescent health, and climate resilience, where drowning prevention might offer co-benefits. Finally, our findings offer a strategic blueprint as the field looks to accelerate action, and develop a global strategy for drowning prevention.

Artificial intelligence and digital health in global eye health: opportunities and challenges

Global eye health is defined as the degree to which vision, ocular health, and function are maximised worldwide, thereby optimising overall wellbeing and quality of life. Improving eye health is a global priority as a key to unlocking human potential by reducing the morbidity burden of disease, increasing productivity, and supporting access to education. Although extraordinary progress fuelled by global eye health initiatives has been made over the last decade, there remain substantial challenges impeding further progress. The accelerated development of digital health and artificial intelligence (AI) applications provides an opportunity to transform eye health, from facilitating and increasing access to eye care to supporting clinical decision making with an objective, data-driven approach. Here, we explore the opportunities and challenges presented by digital health and AI in global eye health and describe how these technologies could be leveraged to improve global eye health. AI, telehealth, and emerging technologies have great potential, but require specific work to overcome barriers to implementation. We suggest that a global digital eye health task force could facilitate coordination of funding, infrastructural development, and democratisation of AI and digital health to drive progress forwards in this domain.

Association of age-related eye diseases with cognitive frailty in older adults: a population-based study

BACKGROUND

Age-related eye diseases and cognitive frailty (CF) are both important predictors of adverse health outcomes in older adults, however, little is known about their association.

AIMS

To demonstrate the association between age-related eye diseases and cognitive frailty in a population of Iranian older adults.

METHODS

In this cross-sectional, population-based study, we included 1136 individuals (female n = 514) aged 60 years and older (mean 68.8 ± 6.7 years) who participated in the second cycle of the Amirkola Health and Aging Project (AHAP) between 2016 and 2017. Cognitive function and frailty were evaluated based on Mini-Mental State Examination (MMSE) and the FRAIL scale respectively. Cognitive frailty was defined as coexistence of cognitive impairment (CI) and physical frailty (PF), excluding confirmed cases of dementia such as Alzheimer's disease. Cataract, diabetic retinopathy (DR), age-related macular degeneration (AMD), elevated intraocular pressure (IOP ≥ 21 mmHg) and glaucoma suspects (vertical cup to disc ratio (VCDR) ≥ 0.6) were diagnosed based on standardized grading protocols. Associations between eye diseases and cognitive frailty were evaluated through binary logistic regression analysis.

RESULTS

Overall, CI, PF and CF were observed in 257 (22.6%), 319 (28.1%) and 114 (10.0%) participants respectively. After adjusting for confounders and ophthalmic conditions, individuals with cataract were more likely to have CF (OR 1.66; p-value 0.043), while DR, AMD, elevated IOP and glaucoma suspects (OR 1.32, 1.62, 1.42, 1.36, respectively) were not significantly associated with CF. Furthermore, cataract was significantly associated with CI (OR 1.50; p-value 0.022), but not with frailty (OR 1.18; p-value 0.313).

CONCLUSION

Older adults with cataract were more likely to have cognitive frailty and cognitive impairment. This association demonstrates the implications of age-related eye diseases beyond ophthalmology and substantiates the need for further research involving cognitive frailty in the context of eye diseases and visual impairment.

Primary eye health services for older adults as a component of universal health coverage: a scoping review of evidence from high income countries

In pursuit of Universal Health Coverage (UHC) for eye health, countries must strengthen services for older adults, who experience the highest prevalence of eye conditions. This scoping review narratively summarised (i) primary eye health services for older adults in eleven high-income countries/territories (from government websites), and (ii) the evidence that eye health services reduced vision impairment and/or provided UHC (access, quality, equity, or financial protection) (from a systematic literature search). We identified 76 services, commonly comprehensive eye examinations ± refractive error correction. Of 102 included publications reporting UHC outcomes, there was no evidence to support vision screening in the absence of follow-up care. Included studies tended to report the UHC dimensions of access (n=70), equity (n=47), and/or quality (n=39), and rarely reported financial protection (n=5). Insufficient access for population subgroups was common; several examples of horizontal and vertical integration of eye health services within the health system were described.

Funding

This work was funded by Blind Low Vision New Zealand for Eye Health Aotearoa.

Artificial intelligence-based refractive error prediction and EVO-implantable collamer lens power calculation for myopia correction

BACKGROUND

Implantable collamer lens (ICL) has been widely accepted for its excellent visual outcomes for myopia correction. It is a new challenge in phakic IOL power calculation, especially for those with low and moderate myopia. This study aimed to establish a novel stacking machine learning (ML) model for predicting postoperative refraction errors and calculating EVO-ICL lens power.

METHODS

We enrolled 2767 eyes of 1678 patients (age: 27.5 ± 6.33 years, 18-54 years) who underwent non-toric (NT)-ICL or toric-ICL (TICL) implantation during 2014 to 2021. The postoperative spherical equivalent (SE) and sphere were predicted using stacking ML models [support vector regression (SVR), LASSO, random forest, and XGBoost] and training based on ocular dimensional parameters from NT-ICL and TICL cases, respectively. The accuracy of the stacking ML models was compared with that of the modified vergence formula (MVF) based on the mean absolute error (MAE), median absolute error (MedAE), and percentages of eyes within ± 0.25, ± 0.50, and ± 0.75 diopters (D) and Bland-Altman analyses. In addition, the recommended spheric lens power was calculated with 0.25 D intervals and targeting emmetropia.

RESULTS

After NT-ICL implantation, the random forest model demonstrated the lowest MAE (0.339 D) for predicting SE. Contrarily, the SVR model showed the lowest MAE (0.386 D) for predicting the sphere. After TICL implantation, the XGBoost model showed the lowest MAE for predicting both SE (0.325 D) and sphere (0.308 D). Compared with MVF, ML models had numerically lower values of standard deviation, MAE, and MedAE and comparable percentages of eyes within ± 0.25 D, ± 0.50 D, and ± 0.75 D prediction errors. The difference between MVF and ML models was larger in eyes with low-to-moderate myopia (preoperative SE >  - 6.00 D). Our final optimal stacking ML models showed strong agreement between the predictive values of MVF by Bland-Altman plots.

CONCLUSION

With various ocular dimensional parameters, ML models demonstrate comparable accuracy than existing MVF models and potential advantages in low-to-moderate myopia, and thus provide a novel nomogram for postoperative refractive error prediction and lens power calculation.

Artificial intelligence and digital solutions for myopia

Myopia as an uncorrected visual impairment is recognized as a global public health issue with an increasing burden on health-care systems. Moreover, high myopia increases one's risk of developing pathologic myopia, which can lead to irreversible visual impairment. Thus, increased resources are needed for the early identification of complications, timely intervention to prevent myopia progression, and treatment of complications. Emerging artificial intelligence (AI) and digital technologies may have the potential to tackle these unmet needs through automated detection for screening and risk stratification, individualized prediction, and prognostication of myopia progression. AI applications in myopia for children and adults have been developed for the detection, diagnosis, and prediction of progression. Novel AI technologies, including multimodal AI, explainable AI, federated learning, automated machine learning, and blockchain, may further improve prediction performance, safety, accessibility, and also circumvent concerns of explainability. Digital technology advancements include digital therapeutics, self-monitoring devices, virtual reality or augmented reality technology, and wearable devices - which provide possible avenues for monitoring myopia progression and control. However, there are challenges in the implementation of these technologies, which include requirements for specific infrastructure and resources, demonstrating clinically acceptable performance and safety of data management. Nonetheless, this remains an evolving field with the potential to address the growing global burden of myopia.

Indigenous Eye Health in the Americas: The Burden of Vision Impairment and Ocular Diseases

Review of the burden of vision impairment and blindness and ocular disease occurrence in Indigenous Peoples of the Americas. We systematically reviewed findings of the frequency of vision impairment and blindness and/or frequency of ocular findings in Indigenous groups. The database search yielded 2829 citations, of which 2747 were excluded. We screened the full texts of 82 records for relevance and excluded 16. The remaining 66 articles were examined thoroughly, and 25 presented sufficient data to be included. Another 7 articles derived from references were included, summing a total of 32 studies selected. When considering adults over 40 years old, the highest frequencies of vision impairment and blindness in Indigenous Peoples varied from 11.1% in high-income North America to 28.5% in tropical Latin America, whose rates are considerably higher than those in the general population. Most of the ocular diseases reported were preventable and/or treatable, so blindness prevention programs should focus on accessibility to eye examinations, cataract surgeries, control of infectious diseases, and spectacles distribution. Finally, we recommend actions in six areas of attention towards improving the eye health in Indigenous Peoples: access and integration of eye services with primary care; telemedicine; customized propaedeutics; education on eye health; and quality of data.

Cataract Surgery in Low-Income Countries: A Good Deal!

Cataract is a major cause of blindness worldwide. In particular, in low-income countries, the burden of disease as well as its direct and indirect economic cost are a major challenge for the population and economy. In many cases, it would be possible to prevent or cure blindness with a comparably simple cataract surgery, but many countries lack the resources to strengthen healthcare systems and implement broad cataract surgery programs reaching, in particular, the rural poor. In this paper, we analyse whether such an intervention could be cost-effective or even cost-saving for the respective health systems. We calculate the net value of the lifelong costs of cataract with and without surgery. This calculation includes direct costs (e.g., treatment, glasses, surgery) as well as indirect cost of the caregiver and the patient. We total all costs from the year of onset of cataract until death and discount the respective values to the year of onset. We define the surgery as cost-saving if the net-value of costs with surgery is lower than without surgery. If the cost per quality adjusted life year is lower than one gross national product per capita, we define the intervention as highly cost-effective. We find that the cost-effectiveness of cataract surgery depends on the age of onset of the disease and the age of surgery. If the surgery is performed with the beginning of severe impairment, even surgery of a 78-year-old patient is still cost-saving. Almost all possible constellations are highly cost-effective, only for the very old it is questionable whether the surgery should be performed. The simulations show that cataract surgery is one of the most cost-effective interventions. However, millions of people in low-income countries still have no chance to prevent or cure blindness due to limited resources. The findings of this paper clearly call for a stronger effort to reach poor and rural populations with this cost-effective service.

Trends in the prevalence of vision impairment among the oldest-old Chinese population from 1998 to 2018

Background

Vision impairment has become a prominent public health issue worldwide. However, little is known about vision impairment prevalence trends among the oldest-old adults in China. This study aimed to examine 20-year trends in the prevalence of vision impairment among the oldest-old Chinese adults and explore the contributions of sociodemographic variables, health behaviours, and chronic conditions to the trends.

Methods

This retrospective longitudinal study used data from the Chinese Longitudinal Healthy Longevity Survey during 1998-2018. A total of 45 849 participants aged ≥80 years at study entry were included. Vision impairment was assessed by an adapted Landolt-C chart at each wave. We examined unadjusted and adjusted nonlinear trends using generalized estimating equation models incorporating a natural cubic spline. We conducted linear regression models to estimate absolute annual prevalence changes and determine the contributions of sociodemographic variables, health behaviours, and chronic conditions to the trends.

Results

The fully adjusted prevalence doubled from 5.5% (95% confidence interval (CI) = 5.1%-6.0%) in 1998 to 10.7% (95% CI = 9.9%-11.5%) in 2011 and slightly increased to 11.1% (95% CI = 10.3%-12.0%) in 2018 among the oldest-old Chinese population. Glaucoma, cataracts, cognitive impairment, hearing impairment, and urban residence were significant contributors to changes in vision impairment prevalence during 1998-2018. Differences in vision impairment prevalence associated with glaucoma and cataracts narrowed since 2005. Disparities in the trends among cognitively impaired and unimpaired older adults remained unchanged over time. Similar results were observed in older people with and without hearing impairment.

Conclusions

Vision impairment prevalence among the oldest-old Chinese population increased from 1998 to 2011 and remained stable from 2011 to 2018. Future work is needed to improve the prevention and management of chronic diseases associated with vision impairment to reduce its prevalence.