Evidence map›Paper›PMID 39414302›Full record

ArticleBMJ open2024

Level of eye healthcare utilisation and associated factors in Gamo and Gofa Zones, Southern Ethiopia: a community-based, cross-sectional study.

Tsegaye Alemu, Dawit Seyum, Mulate Gebre, Alemayehu Sisay, Mende Mensa Sorato

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Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Tsegaye AlemuSchool of Public Health, Hawassa University College of Medicine and Health Sciences, Hawassa, Ethiopia.ORCID 0000-0001-9511-9028
Dawit SeyumOrbis International Ethiopia, Addis Ababa, Ethiopia.
Mulate GebreOrbis International Ethiopia, Addis Ababa, Ethiopia.
Alemayehu SisayOrbis International Ethiopia, Addis Ababa, Ethiopia.
Mende Mensa SoratoPharmacy, Arba Minch University, Arba Minch, Ethiopia mende.mensa@komar.edu.iq.ORCID 0000-0002-6342-0980

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAbout 90% of eye health problems are preventable or curable with existing cost-effective interventions. There is limited evidence on eye healthcare utilisation (ECU) and the factors influencing it in the study area. This study aimed to determine the level of ECU and the associated factors in Southern Ethiopia.

designA community-based, cross-sectional study was conducted in Southern Ethiopia from 1 June to 15 July 2023. Data were analysed using SPSS V.27.

settingTwo selected districts (Dita and Uba Debretsehay) in Southern Ethiopia.

participantsPermanent residents living in randomly selected kebeles. OUTCOME MEASURE: The level of ECU was the outcome measure. A binary logistic regression model was used to check the association between explanatory variables and the dependent variable. To avoid many variables and unstable estimates and to control for possible confounders in the subsequent model, only variables that reached a p value of less than 0.25 on binary analysis were used in the multivariate logistic regression analysis to identify factors independently associated with ECU.

results992 respondents participated in this study, with a response rate of 95.4%. The prevalence of ECU within the past 2 years was 21.6% (95% CI 19.0, 24.3). The reported barriers to ECU were lack of awareness (123, 40.6%) and lack of money (58, 19.2%). Age <30 years (adjusted OR (AOR)=2.7; 95% CI 1.5, 4.6), being male (AOR=2.2; 95% CI 1.4, 3.6), shorter travel time (AOR=2.0; 95% CI 1.3, 3.1), undergoing regular vision check-ups (AOR=5.4; 95% CI 3.47, 8.37), history of eye diseases (AOR=4.8; 95% CI 2.5, 9.1) and having trichiasis (AOR=1.5; 95% CI 1.1, 2.3) were positively associated with eye care service utilisation. Low wealth quantile (AOR=0.62; 95% CI 0.39, 0.98) and poor knowledge (AOR=0.26; 95% CI 0.16, 0.44) were negatively associated with eye care service utilisation.

conclusionsThe ECU within the past 2 years was a quarter. Socioeconomic factors, disease-related factors and respondent knowledge are independently associated with ECU. Designing strategies that can improve the capacity of healthcare facilities and patient awareness is important in order to reduce barriers and improve service utilisation. Researchers interested in working in the area should focus on community-specific approaches that can improve community health literacy by using stronger study designs.

Indexed as

Eye DiseasesPatient Acceptance of Health CareAdolescentAdultAgedCross-Sectional StudiesEthiopiaFemaleHealth Services AccessibilityHumansLogistic ModelsMaleMiddle AgedYoung Adultcataract and refractive surgerymedical ophthalmologyneglected diseasesopthalmology

Identifiers

PMID39414302
PMCPMC11481142

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