Evidence map›Paper›PMID 38944059›Full record

SynthesisJournal of clinical epidemiology2024

Underserved groups could be better considered within population-based eye health surveys: a methodological study.

Lucy Goodman, Tulio Reis, Justine H Zhang, Mayinuer Yusufu, Philip R Turnbull, Pushkar Silwal, Mengtian Kang, Sare Safi, Hiromi Yee, Gatera Fiston Kitema and 9 more

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of clinical epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Review
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

19 authors.

Lucy GoodmanSchool of Optometry & Vision Science, The University of Auckland, Auckland, New Zealand.
Tulio ReisDivision of Ophthalmology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
Justine H ZhangInternational Centre for Eye Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Mayinuer YusufuCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia; Department of Surgery (Ophthalmology), The University of Melbourne, Melbourne, Australia.
Philip R TurnbullSchool of Optometry & Vision Science, The University of Auckland, Auckland, New Zealand.
Pushkar SilwalSchool of Optometry & Vision Science, The University of Auckland, Auckland, New Zealand.
Mengtian KangBeijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology & Visual Science Key Lab, Beijing, China.
Sare SafiOphthalmic Epidemiology Research Center, Research Institute for Ophthalmology and Vision Science, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hiromi YeeSingapore Eye Research Institute, Singapore.
Gatera Fiston KitemaDepartment of Ophthalmology, University of Rwanda, Kigali, Rwanda.
Anakin Chu Kwan LaiLi Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong.
Ian McCormickInternational Centre for Eye Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
João M FurtadoDivision of Ophthalmology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
Mostafa BondokFaculty of Medicine, The University of British Columbia, Vancouver, Canada.
Eric LaiSchool of Optometry & Vision Science, The University of Auckland, Auckland, New Zealand.
Sophie WoodburnSchool of Optometry & Vision Science, The University of Auckland, Auckland, New Zealand.
Matthew J BurtonInternational Centre for Eye Health, London School of Hygiene & Tropical Medicine, London, United Kingdom; National Institute for Health Research Biomedical Research Centre for Ophthalmology at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom.
Jennifer R EvansInternational Centre for Eye Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Jacqueline RamkeSchool of Optometry & Vision Science, The University of Auckland, Auckland, New Zealand; International Centre for Eye Health, London School of Hygiene & Tropical Medicine, London, United Kingdom. Electronic address: j.ramke@auckland.ac.nz.

Funding

Wellcome Trust 207472
6 · The paper itself

Abstract

objectivesIn pursuit of health equity, the World Health Organization has recently called for more extensive monitoring of inequalities in eye health. Population-based eye health surveys can provide this information, but whether underserved groups are considered in the design, implementation, and reporting of surveys is unknown. We conducted a systematic methodological review of surveys published since 2000 to examine how many population-based eye health surveys have considered underserved groups in their design, implementation, or reporting. STUDY DESIGN AND

settingWe identified all population-based cross-sectional surveys reporting the prevalence of objectively measured vision impairment or blindness. Using the PROGRESS + framework to identify underserved groups, we assessed whether each study considered underserved groups within 15 items across the rationale, sampling or recruitment methods, or the reporting of participation and prevalence rates.

results388 eye health surveys were included in this review. Few studies prospectively considered underserved groups during study planning or implementation, for example within their sample size calculations (n = 5, ∼1%) or recruitment strategies (n = 70, 18%). The most common way that studies considered underserved groups was in the reporting of prevalence estimates (n = 374, 96%). We observed a modest increase in the number of distinct PROGRESS + factors considered by a publication over the study period. Gender/sex was considered within at least one item by 95% (n = 367) of studies. Forty-three percent (n = 166) of included studies were conducted primarily on underserved population groups, particularly for subnational studies of people living in rural areas, and we identified examples of robust population-based studies in socially excluded groups.

conclusionMore effort is needed to improve the design, implementation, and reporting of surveys to monitor inequality and promote equity in eye health. Ideally, national-level monitoring of vision impairment and service coverage would be supplemented with smaller-scale studies to understand the disparities experienced by the most underserved groups.

Indexed as

Health SurveysAdultBlindnessCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceVision DisordersVulnerable PopulationsCross-sectional studiesHealth equity analysisMeta-epidemiologyMeta-researchMethodological reviewPopulation based eye health surveys

Identifiers

PMID38944059
PMCPMC7618276

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.