Evidence map›Paper›PMID 39187843›Full record

ArticleInternational journal for equity in health2024

Access to community-based eye services in Meru, Kenya: a cross-sectional equity analysis.

Luke N Allen, Sarah Karanja, Michael Gichangi, Cosmas Bunywera, Hillary Rono, David Macleod, Min Jung Kim, Malebogo Tlhajoane, Matthew J Burton, Jacqueline Ramke and 2 more

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Article in International journal for equity in health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Luke N AllenDepartment of Clinical Research, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK. luke.allen@lshtm.ac.uk.
Sarah KaranjaKenya Medical Research Institute, Nairobi, Kenya.
Michael GichangiMinistry of Health, Ophthalmic Services Unit, Nairobi, Kenya.
Cosmas BunyweraPeek Vision, Kitale, Kenya.
Hillary RonoDepartment of Clinical Research, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.
David MacleodDepartment of Clinical Research, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.
Min Jung KimDepartment of Clinical Research, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.
Malebogo TlhajoaneDepartment of Clinical Research, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.
Matthew J BurtonDepartment of Clinical Research, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.
Jacqueline RamkeDepartment of Clinical Research, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.
Nigel M BolsterPeek Vision, London, UK.
Andrew BastawrousDepartment of Clinical Research, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.

Funding

Wellcome TrustWellcome Trust 215633/Z/19/Z
6 · The paper itself

Abstract

backgroundOver 80% of blindness in Kenya is due to curable or preventable causes and 7.5 m Kenyans currently need eye services. Embedding sociodemographic data collection into screening programmes could help identify the groups facing systematic barriers to care. We aimed to determine the sociodemographic characteristics that were associated with access among patients diagnosed with an eye problem and referred for treatment in the Vision Impact Programme, currently operating in Meru County.

methodWe used an embedded, pragmatic, cross-sectional design. A list of sociodemographic questions was developed with input from key stakeholders. The final question set included the following domains: age, gender, religion, marital status, disability, education, occupation, income, housing, assets, and health insurance. These were integrated into an app that is used to screen, refer, and check-in (register) participants within a major eye screening programme. We gathered data from 4,240 people who screened positive and were referred to their local outreach treatment clinic. We used logistic regression to identify which groups were facing the greatest barriers to accessing care.

resultsA quarter of those screened between April - July 2023 were found to have an eye problem and were referred, however only 46% of these people were able to access care. In our fully adjusted model, at the 0.05 level there were no statistically significant differences in the odds of attendance within the domains of disability, health insurance, housing, income, or religion. Strong evidence (p < 0.001) was found of an association between access and age, gender, and occupation; with males, younger adults, and those working in sales, services and manual jobs the least likely to receive care.

conclusionsAccess to essential eye services is low and unequal in Meru, with less than a third of those aged 18-44 receiving the care they need. Future work should explore the specific barriers faced by this group.

Indexed as

Health Services AccessibilityAdolescentAdultAgedChildCommunity Health ServicesCross-Sectional StudiesFemaleHumansKenyaLogistic ModelsMaleMiddle AgedYoung AdultAccessEquityPrimary carePrimary eye careSocioeconomic inequalities

Identifiers

PMID39187843
PMCPMC11346173

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Registered trials

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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.