Estimation of the Prevalence of Refractive Error in Kenya: A Systematic Review and Meta-Analysis.

Purpose: To conduct a systematic review and meta-analysis on the prevalence of uncorrected refractive error in Kenya. Methods: This was a systematic review and meta-analysis of published papers extracted from PubMed and Google Scholar published between the years 2000-2022. A Boolean operator of "AND...

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Publicado en:Optometry & Visual Performance Vol. 11; no. 3; pp. 152 - 157
Autores principales: Muma, Shadrack, Naidoo, Kovin, Hansraj, Rekha
Formato: meta analysis research systematic review tables/charts Journal Article
Publicado: Optometric Extension Program Oct2023
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2023
      vid: 11
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      pub: Optometric Extension Program
      place: Lutherville Timonium, Maryland
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        atl: Estimation of the Prevalence of Refractive Error in Kenya: A Systematic Review and Meta-Analysis.
      aug:
        au:
          Muma, Shadrack
          Naidoo, Kovin
          Hansraj, Rekha
        affil: University of KwaZulu-Natal • Durban South Africa
      sug:
        subj:
          Refractive Errors Epidemiology
          Refractive Errors Psychosocial Factors
          Health Resource Allocation
          Human
          Kenya
          Systematic Review
          Meta Analysis
          Descriptive Statistics
          PubMed
          Confidence Intervals
          Vision Disorders
          Visual Acuity
          Optometry
      ab: Purpose: To conduct a systematic review and meta-analysis on the prevalence of uncorrected refractive error in Kenya. Methods: This was a systematic review and meta-analysis of published papers extracted from PubMed and Google Scholar published between the years 2000-2022. A Boolean operator of "AND" and "OR" was used. A meta-analysis was carried out to estimate the prevalence of uncorrected refractive error in Kenya. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement was applied in reporting systematic review and meta-analysis. Results: Out of the 20 identified articles, only eight were eligible for data extraction. The sample sizes varied from 326 to 10,579 in the eight articles. The prevalence of refractive error in Kenya reported from the meta-analysis was 6.39% (95% CI 2.3-7.2). The meta-analysis, using the random effect model, showed that sample size was statistically associated with the mean prevalence of refractive error per article (p=0.004). Conclusion: The prevalence of uncorrected refractive error continues to pose a major challenge with the growing population in Kenya. As a result, there is a dire need for up-to-date information from population-based studies on refractive error across all age groups.
      pubtype: Academic Journal
      doctype:
        meta analysis
        research
        systematic review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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