SynthesisOphthalmology2013
Attributes associated with eye care use in the United States: a meta-analysis.
Synthesis in Ophthalmology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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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.
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Who cites it
20 citing papers in PubMed, 53 citations in OpenAlex.
- A theory- and evidence-based holistic intervention to enhance the uptake of preventive eye examination among the elderly centre members.Public health in practice (Oxford, England) · 2025Article
- Real-world pharmacovigilance analysis of drug-related cataracts using the FDA adverse event reporting system database.Frontiers in pharmacology · 2025Article
- Unveiling community-level factors: a multilevel mixed-effect analysis of eye care service utilization and associated factors in Andabet, Northwest Ethiopia.Frontiers in public health · 2025Article
- Utilisation pattern of ophthalmic services in Ashanti Region, Ghana.African journal of primary health care & family medicine · 2024Article
- Association Between Social Determinants of Health and Examination-Based Vision Loss vs Self-reported Vision Measures.JAMA ophthalmology · 2023Article
- Undiagnosed diabetic retinopathy in Northeast China: prevalence and determinants.Frontiers in endocrinology · 2023Article
- Enhancing Diversity in the Ophthalmology Workforce.Ophthalmology · 2022Article
- Potentially Missed Opportunities in Prevention of Acute Angle-Closure Crisis.JAMA ophthalmology · 2022Article
- Assessment of patient follow-up from student-run free eye clinic to county ophthalmology clinic.Scientific reports · 2022Article
- A seven-year analysis of the role and impact of a free community eye clinic.BMC medical education · 2021Article
- Prevalence and associated factors of vision loss in the South African National Health and Nutrition Examination Survey (SANHANES-1).BMC ophthalmology · 2021Article
- Eye care utilization pattern in South Africa: results from SANHANES-1.BMC health services research · 2020Article
- Rates and Determinants of Eyecare Utilization and Eyeglass Affordability Among Individuals With Visual Impairment in a Multi-Ethnic Population-Based Study in Singapore.Translational vision science & technology · 2020Article
- Eye care service utilization and associated factors among older adults in Hawassa city, South Ethiopia.PloS one · 2020Article
- [Who visits an ophthalmologist and how often? Results of the German nationwide adult health survey (DEGS1)].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2018Article
- Visual impairment and blindness in a population-based study of Mashhad, Iran.Journal of current ophthalmology · 2018Article
- Mining Retrospective Data for Virtual Prospective Drug Repurposing: L-DOPA and Age-related Macular Degeneration.The American journal of medicine · 2016Article
- Gaps in receipt of regular eye examinations among medicare beneficiaries diagnosed with diabetes or chronic eye diseases.Ophthalmology · 2014Article
- Severity and progression of visual impairment and risk of dementia.Alzheimer's & dementia (Amsterdam, Netherlands)Article
- Vision Need Profiles for the City of Richmond, Virginia: A Pilot Application of Calibration Methods to Vision Surveillance.Ophthalmology scienceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
objectiveTo model the factors that are associated with the use of eye care services among the US population with and without diabetes, stratifying by age group.
designMeta-analysis.
participantsWe analyzed data from 3 datasets: the Behavioral Risk Factors Surveillance System combined years 2006-2009, the National Health and Nutrition Examination Survey combined years 2005-2008, and the National Health Interview Survey year 2008. For all 3 datasets, we analyzed data from all survey participants aged 40 years or older who participated in vision-related survey modules.
methodsWe performed multivariate logistic regression analyses to assess associations between any eye care use within the previous year and 14 indicators of patient demographics and health. We estimated separate regressions for persons with and without diabetes stratified by age group. We combined estimates across datasets using a random effects model estimated using Markov Chain Monte Carlo algorithms.
main outcome measuresUse of eye care in the previous year and personal factors associated with eye care use.
resultsAnnual eye care use rates ranged from 46% to 51% in participants without diabetes and 64% to 72% in participants with diabetes. For people with and without diabetes, health insurance, an eye disease diagnosis, and higher income were associated with higher odds of eye care use. Being male was associated with lower odds of eye care use in some diabetes status and age group categories. Other variables, such as more education, being married, black race, Hispanic/Latino ethnicity, health status, heavy drinking, and limited ability to read small print, were associated with eye care use in only some diabetes status and age group categories.
conclusionsOur findings indicate that economic and ocular health factors are associated with the greatest odds of annual eye care use. Access to health insurance and income levels greater than $35 000 US dollars (value at the time of interview) are associated with eye care use independently of other demographic factors.
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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.