ReviewIndian journal of ophthalmology
Best practice eye care models.
Review in Indian journal of ophthalmology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Proposed framework for the integration of refractive error services into the eye health ecosystem in Kenya via social enterprise.Scientific reports · 2025Article
- Evaluation of a telemedicine-enabled universal eye health delivery model in rural southern India.Eye (London, England) · 2024Article
- Decentralization and Regionalization of Surgical Care as a Critical Scale-up Strategy in Low- and Middle-Income Countries Comment on "Decentralization and Regionalization of Surgical Care: A Review of Evidence for the Optimal Distribution of Surgical Services in Low- and Middle-Income Countries".International journal of health policy and management · 2021Article
- Estimated number of ophthalmologists worldwide (International Council of Ophthalmology update): will we meet the needs?The British journal of ophthalmology · 2020Article
- Prevalence of Eye Problems among Young Infants of Rohingya Refugee Camps: Findings from a Cross-Sectional Survey.Tropical medicine and infectious disease · 2020Article
- Comprehensive eye care - Issues, challenges, and way forward.Indian journal of ophthalmology · 2020Review
- The Barrie Jones Lecture-Eye care for the neglected population: challenges and solutions.Eye (London, England) · 2015Article
- Models for primary eye care services in India.Indian journal of community medicine : official publication of Indian Association of Preventive & Social MedicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since the launching of Global Initiative, VISION 2020 "the Right to Sight" many innovative, practical and unique comprehensive eye care services provision models have evolved targeting the underserved populations in different parts of the World. At places the rapid assessment of the burden of eye diseases in confined areas or utilizing the key informants for identification of eye diseases in the communities are promoted for better planning and evidence based advocacy for getting / allocation of resources for eye care. Similarly for detection and management of diabetes related blindness, retinopathy of prematurity and avoidable blindness at primary level, the major obstacles are confronted in reaching to them in a cost effective manner and then management of the identified patients accordingly. In this regard, the concept of tele-ophthalmology model sounds to be the best solution. Whereas other models on comprehensive eye care services provision have been emphasizing on surgical output through innovative scales of economy that generate income for the program and ensure its sustainability, while guaranteeing treatment of the poorest of the poor.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.