Evidence map›Paper›PMID 23511113›Full record

SynthesisOphthalmology2013

Attributes associated with eye care use in the United States: a meta-analysis.

Laura Danielle Wagner, David B Rein

Open access · greenAbstract readMeta-Analysis
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
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  4. Utilisation pattern of ophthalmic services in Ashanti Region, Ghana.African journal of primary health care & family medicine · 2024
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  15. [Who visits an ophthalmologist and how often? Results of the German nationwide adult health survey (DEGS1)].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2018
    Article
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  19. Severity and progression of visual impairment and risk of dementia.Alzheimer's & dementia (Amsterdam, Netherlands)
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Laura Danielle WagnerPublic Health Economics Program, RTI International, Atlanta, Georgia 30306, USA. wagner@rti.org
David B Rein
Georgia Department of Public Health · USUniversity of Chicago · US

Funding

Evaluating the Cost-effectiveness of Realistic Screening Interventions Across SevR21EY019173 · NEI · RESEARCH TRIANGLE INSTITUTE · PI REIN, DAVID B · 2009 to 2010
$463k
NEI NIH HHS R21 EY019173
6 · The paper itself

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.

Indexed as

AdultDatabases, FactualDiabetes ComplicationsEducational StatusEthnicityFemaleHealth ServicesHealth Services AccessibilityHealth Services ResearchHumansIncomeInsurance CoverageInsurance, HealthMaleMiddle AgedOphthalmology

Identifiers

PMID23511113
PMCPMC3690143
OpenAlexW2010788802

What OpenQuestion holds

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Registered trials

None linked

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.