Ameenat Lola Solebo

Great Ormond Street Hospital

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Jugnoo S. Rahi

University College London

Harry Petrushkin

University College London

Phillippa Cumberland

University College London

Salomey Kellett

University College London

Andrew D. Dick

Bristol Eye Hospital

Alastair K. Denniston

NIHR Birmingham Biomedical Research Centre

Jane Ashworth

Manchester Royal Eye Hospital

Xiaoxuan Liu

University Hospitals Birmingham NHS Foundation Trust

Lucinda Teoh

University College London

Clive Edelsten

Ophthalmology Associates (United States)

Cooperative Institutions

University College London

270

Moorfields Eye Hospital

114

Moorfields Eye Hospital NHS Foundation Trust

106

Great Ormond Street Hospital

National Institute for Health Research

National Health Service

Great Ormond Street Hospital for Children NHS Foundation Trust

Institute of Ophthalmology

University of Birmingham

NIHR Moorfields Biomedical Research Centre

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Toward Universal Eye Health Coverage—Key Outcomes of the World Health Organization Package of Eye Care Interventions

JAMA Ophthalmology (2022)

Stuart Keel Gareth Lingham Neha Misra Sandra S. Block Rupert Bourne

Importance Despite persistent inequalities in access to eye care services globally, guidance on a set of recommended, evidence-based eye care interventions to support country health care planning has not been available. To overcome this barrier, the World Health Organization (WHO) Package of Eye Care Interventions (PECI) has been developed. Objective To describe the key outcomes of the PECI development. Evidence Review A standardized stepwise approach that included the following stages: (1) selection of priority eye conditions by an expert panel after reviewing epidemiological evidence and health facility data; (2) identification of interventions and related evidence for the selected eye conditions from a systematic review of clinical practice guidelines (CPGs); stage 2 included a systematic literature search, screening of title and abstracts (excluding articles that were not relevant CPGs), full-text review to assess disclosure of conflicts of interest and affiliations, quality appraisal, and data extraction; (3) expert review of the evidence extracted in stage 2, identification of missed interventions, and agreement on the inclusion of essential interventions suitable for implementation in low- and middle-income resource settings; and (4) peer review. Findings Fifteen priority eye conditions were chosen. The literature search identified 3601 articles. Of these, 469 passed title and abstract screening, 151 passed full-text screening, 98 passed quality appraisal, and 87 were selected for data extraction. Little evidence (≤1 CPG identified) was available for pterygium, keratoconus, congenital eyelid disorders, vision rehabilitation, myopic macular degeneration, ptosis, entropion, and ectropion. In stage 3, domain-specific expert groups voted to include 135 interventions (57%) of a potential 235 interventions collated from stage 2. After synthesis across all interventions and eye conditions, 64 interventions (13 health promotion and education, 6 screening and prevention, 38 treatment, and 7 rehabilitation) were included in the PECI. Conclusions and Relevance This systematic review of CPGs for priority eye conditions, followed by an expert consensus procedure, identified 64 essential, evidence-based, eye care interventions that are required to achieve universal eye health coverage. The review identified some important gaps, including a paucity of high-quality, English-language CPGs, for several eye diseases and a dearth of evidence-based recommendations on eye health promotion and prevention within existing CPGs.

Critical appraisal

10.1001/jamaophthalmol.2022.4716

Cite

Citations (15)

Long-term ocular and visual outcomes following symptomatic and asymptomatic congenital CMV infection: a systematic review protocol

BMJ Open (2022)

Urvi Karamchandani Umar Ahmed Sohaib R. Rufai Naomi Tan Weijen Tan

Introduction Cytomegalovirus (CMV) is one of the most common congenitally acquired infections worldwide. Visual impairment is a common outcome for symptomatic infants, with long-term ophthalmic surveillance often recommended. However, there are no clear guidelines for ophthalmic surveillance in infants with asymptomatic disease. We aim to conduct a systematic review to establish the overall prevalence and incidence of eye and vision related disorders following congenital CMV infection (cCMV). Methods and analysis A systematic review and meta-analysis (pending appropriate data for analysis) of cross-sectional and longitudinal studies will be conducted. The PubMed, Embase and CINAHL databases will be searched up to 29 March 2022 without date or language restrictions. Studies will be screened by at least two independent reviewers. Methodological quality of included studies will be assessed using the Joanna Briggs Institute tool. The primary outcome measures will be incidence and/or prevalence of vision impairment or ophthalmic disorders in patients with symptomatic and asymptomatic cCMV infection. A narrative synthesis will be conducted for all included studies. The overall prevalence will be estimated by pooling data using a random-effects model. Heterogeneity between studies will be estimated using Cochran’s Q and the I 2 statistics. Egger’s test will be used to assess for publication bias. Ethics and dissemination Ethical approval is not required as there is no primary data collection. Study findings will be disseminated at scientific meetings and through publication in peer-reviewed journals. Trial registration number This is not a clinical trial, but the protocol has been registered: CRD42021284678 (PROSPERO)

CINAHL

10.1136/bmjopen-2021-059038

Cite

Citations (4)

Aphakie- und Pseudophakieglaukom nach Kataraktoperation im Kindesalter

Der Ophthalmologe (2012)

Ameenat Lola Solebo Jugnoo S. Rahi Franz Grehn

Secondary glaucoma

10.1007/s00347-011-2516-5

Cite

Citations (10)

Congenital cataract associated with persistent fetal vasculature: findings from IoLunder2

Eye (2016)

Ameenat Lola Solebo I Russell‐Eggitt Phillippa Cumberland Jugnoo S. Rahi

10.1038/eye.2016.159

Cite

Citations (52)

Face-down positioning or posturing after macular hole surgery

Cochrane database of systematic reviews (2010)

Ameenat Lola Solebo Catey Bunce James Bainbridge

This is a protocol for a Cochrane Review (Intervention). The objectives are as follows: The primary objective of this review is to evaluate the evidence for the benefit of face‐down positioning on the outcome of macular hole closure. A secondary objective is to compare the effects of different durations of positioning.

10.1002/14651858.cd008228

Cite

Citations (12)

UNICORNS: Uveitis in childhood prospective national cohort study protocol

F1000Research (2023)

Salomey Kellett Jugnoo S. Rahi Andrew D. Dick Rachel L Knowles Valerija Tadić

Background: Childhood uveitis is a rare inflammatory eye disease which is typically chronic, relapsing-remitting in nature, with an uncertain aetiology (idiopathic). Visual loss occurs due to structural damage caused by uncontrolled inflammation. Understanding of the determinants of long term outcome is lacking, including the predictors of therapeutic response or how to define disease control. Aims: To describe disease natural history and outcomes amongst a nationally representative group of children with non-infectious uveitis, describe the impact of disease course on quality of life for both child and family, and identify determinants of adverse visual, structural and developmental outcomes. Methods: UNICORNS is a prospective longitudinal multicentre cohort study of children newly diagnosed with uveitis about whom a core minimum clinical dataset will be collected systematically. Participants and their families will also complete patient-reported outcome measures annually from recruitment. The association of patient (child- and treatment- dependent) characteristics with outcome will be investigated using logistic and ordinal regression models which incorporate adjustment for within-child correspondence between eyes for those with bilateral disease and repeated outcomes measurement. Discussion: Through this population based, prospective longitudinal study of childhood uveitis, we will describe the characteristics of childhood onset disease. Early (1-2 years following diagnosis) outcomes will be described in the first instance, and through the creation of a national inception cohort, longer term studies will be enabled of outcome for affected children and families.

Etiology

10.12688/f1000research.26689.2

Cite

Citations (5)

Prevalence of diabetic retinopathy in children and young people living with diabetes: protocol for a systematic review

BMJ Open (2017)

Maria Carolina Ibanez-Bruron Ameenat Lola Solebo Phillippa Cumberland Jugnoo S. Rahi

The frequency of diabetes mellitus in childhood is increasing. Thus, more children and young people are at risk of developing diabetic retinopathy and diabetes related visual impairment. However, there is no consensus on optimal screening strategies for the paediatric population reflecting the lack of clarity about the current burden of disease in this group. We aim to estimate the prevalence of diabetic retinopathy in children and young people living with types 1 or 2 diabetes, and to investigate potential sources of heterogeneity in this figure so as to inform screening strategies for this population.

10.1136/bmjopen-2017-018578

Cite

Citations (3)

Study protocol: Diabetic eye screening using machine learning enabled automated retinal imaging analysis software, a target product profile for England (DART) (Preprint)

Trystan Macdonald Jacqueline Dinnes Gregory Maniatopoulos Siân Taylor-Phillips Bethany Shinkins

BACKGROUND Diabetic eye screening (DES) represents a significant opportunity for the application of machine learning (ML) technologies, which may improve clinical and service outcomes. However, successful integration of ML into DES requires careful product development, evaluation, and implementation. Target product profiles (TPPs) summarize the requirements necessary for successful implementation so these can guide product development and evaluation. OBJECTIVE This study aims to produce a TPP for an ML-automated retinal imaging analysis software (ML-ARIAS) system for use in DES in England. METHODS This work will consist of 3 phases. Phase 1 will establish the characteristics to be addressed in the TPP. A list of candidate characteristics will be generated from the following sources: an overview of systematic reviews of diagnostic test TPPs; a systematic review of digital health TPPs; and the National Institute for Health and Care Excellence’s Evidence Standards Framework for Digital Health Technologies. The list of characteristics will be refined and validated by a study advisory group (SAG) made up of representatives from key stakeholders in DES. This includes people with diabetes; health care professionals; health care managers and leaders; and regulators and policy makers. In phase 2, specifications for these characteristics will be drafted following a series of semistructured interviews with participants from these stakeholder groups. Data collected from these interviews will be analyzed using the shortlist of characteristics as a framework, after which specifications will be drafted to create a draft TPP. Following approval by the SAG, in phase 3, the draft will enter an internet-based Delphi consensus study with participants sought from the groups previously identified, as well as ML-ARIAS developers, to ensure feasibility. Participants will be invited to score characteristic and specification pairs on a scale from “definitely exclude” to “definitely include,” and suggest edits. The document will be iterated between rounds based on participants’ feedback. Feedback on the draft document will be sought from a group of ML-ARIAS developers before its final contents are agreed upon in an in-person consensus meeting. At this meeting, representatives from the stakeholder groups previously identified (minus ML-ARIAS developers, to avoid bias) will be presented with the Delphi results and feedback of the user group and asked to agree on the final contents by vote. RESULTS Phase 1 was completed in November 2023. Phase 2 is underway and expected to finish in March 2024. Phase 3 is expected to be complete in July 2024. CONCLUSIONS The multistakeholder development of a TPP for an ML-ARIAS for use in DES in England will help developers produce tools that serve the needs of patients, health care providers, and their staff. The TPP development process will also provide methods and a template to produce similar documents in other disease areas. INTERNATIONAL REGISTERED REPORT DERR1-10.2196/50568

Digital Health

10.2196/preprints.50568

Cite

Citations (0)

Determinants of non-attendance at face-to-face and telemedicine ophthalmic consultations

British Journal of Ophthalmology (2023)

Siegfried Wagner Laxmi Raja Mario Cortina‐Borja Josef Huemer Robbert Struyven

Background/aims Evaluation of telemedicine care models has highlighted its potential for exacerbating healthcare inequalities. This study seeks to identify and characterise factors associated with non-attendance across face-to-face and telemedicine outpatient appointments. Methods A retrospective cohort study at a tertiary-level ophthalmic institution in the UK, between 1 January 2019 and 31 October 2021. Logistic regression modelled non-attendance against sociodemographic, clinical and operational exposure variables for all new patient registrations across five delivery modes: asynchronous, synchronous telephone, synchronous audiovisual and face to face prior to the pandemic and face to face during the pandemic. Results A total of 85 924 patients (median age 55 years, 54.4% female) were newly registered. Non-attendance differed significantly by delivery mode: (9.0% face to face prepandemic, 10.5% face to face during the pandemic, 11.7% asynchronous and 7.8%, synchronous during pandemic). Male sex, greater levels of deprivation, a previously cancelled appointment and not self-reporting ethnicity were strongly associated with non-attendance across all delivery modes. Individuals identifying as black ethnicity had worse attendance in synchronous audiovisual clinics (adjusted OR 4.24, 95% CI 1.59 to 11.28) but not asynchronous. Those not self-reporting their ethnicity were from more deprived backgrounds, had worse broadband access and had significantly higher non-attendance across all modes (all p<0.001). Conclusion Persistent non-attendance among underserved populations attending telemedicine appointments highlights the challenge digital transformation faces for reducing healthcare inequalities. Implementation of new programmes should be accompanied by investigation into the differential health outcomes of vulnerable populations.

Attendance

Pandemic

Face-to-face

Telehealth

10.1136/bjo-2022-322389

Cite

Citations (5)

Automated Image Quality Assessment for Anterior Segment Optical Coherence Tomograph

2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023)

Boyu Chen Ameenat Lola Solebo Paul Taylor

Optical Coherence Tomography (OCT) is a technique for diagnosing eye disorders. Image quality assessment (IQA) of OCT images is essential, but manual IQA is time consuming and subjective. Recently, automated IQA methods based on deep learning (DL) have achieved good performance. However, few of these methods focus on OCT images of the anterior segment of the eye (AS-OCT). Moreover, few of these methods identify the factors that affect the quality of the images (called "quality factors" in this paper). This could adversely affect the acceptance of their results. In this study, we define, for the first time to the best of our knowledge, the quality level and four quality factors of AS-OCT for the clinical context of anterior chamber inflammation. We also develop an automated framework based on multi-task learning to assess the quality and to identify the existing of quality factors in the AS-OCT images. The effectiveness of the framework is demonstrated in experiments.

10.1109/isbi53787.2023.10230756

Cite

Citations (0)