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Dataset Information

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


ABSTRACT:

Background

Over 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.

Method

We 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, hou

SUBMITTER: Allen LN 

PROVIDER: S-EPMC11346173 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature