This cross-sectional study was carried out from January 2018 to February 2019. Participants were randomly selected from the 47 county referral hospitals in Kenya in the 8 provinces. The provinces includes: Nyanza, Western, Central, Eastern, Rift Valley, North Eastern, Nairobi and Coast. The list of facilities where the participants were recruited from included; Homa bay county referral hospital, Kakamega county referral hospital, Kiambu county referral, Embu county referral, Kericho county referral, Kitui county referral, Kenyatta National Hospital and Coast general hospital. The participants belonged to the cohort of children who had visited the hospitals three times consecutively. The sample was obtained from list of patients who had been visiting the facility over some time till 2017. The participants were randomly selected from the eight county referral hospitals listed above. Only children who could be traced with a record from the hospital were included in the study. Eligibility was based on visiting the same facility frequently and having the Universal Health Coverage card registered in the facility. The reason for universal health coverage was because it makes access to health facility easy hence frequent visit in case of any health complication. At the same time, the universal health coverage only works in the county referral hospitals hence the study area was more applicable. Finally the county referral hospitals have well established ophthalmology centre’s which allow for comprehensive examination of the patients. We excluded children with psychiatric history due to lack of concentration during ocular examination. For the randomly selected participants, consent was sought from their parents and assent from the children. To ensure a good response rate a consistent contact follow up was adopted. Participants who agreed were given a prior call to inform them on the examination area. Constant reminders were sent to the participants on when the examination would be conducted. The recruitment of the participants lasted for 6 months, that is from January to June 2018
After examination participants were given a bottle of soda and bread just as a form of appreciation for taking their time to participate in the study. Being that the facilities had consultant ophthalmologists, participants who required more attention were reviewed by the ophthalmologists. The team consisted of ninety four optometrists with one hundred research assistants. The ocular history was recorded by the research assistants using structured questionnaires in Kiswahili. The parent’s knowledge was sought on amblyopia which is the decreased vision due to abnormal visual development, nystagmus which is the involuntary eye movement and refractive error. Immediately the participants arrived at the examination area, the history was taken followed by visual acuity. The visual acuity was recorded at 6 meters using the Snellens chart. A presenting visual acuity which is the visual acuity in the better eye and visual acuity of 6/60 was considered severe, worse than 6/18 considered moderate. For participants who could not see 6/18, a pin hole was used to confirm if it’s a pathology or refractive error. For participants whose visual acuity improved on pin-hole, retinoscopy was done to determine the magnitude and type of refractive error they had. A subjective refraction was done to confirm the objective refraction. After retinoscopy, slit lamp assessment was done to examine the anterior segment for any abnormality. The pupil was dilated using tropicamide 0.5% to assess the posterior part of the eye. Hruby lens of + 90D was used to assess the fundus. To allow for comparison with the World Health Organization, the definition of visual impairment was used14.
Statistical analysis was carried using Statistical Package for Social Sciences software (SPSS, version 17.0). Descriptive statistics was conducted which included the mean, standard deviation (SD), median and percentages. The prevalence of visual impairment was determined based on age and gender. A chi-square test was conducted to compare the prevalence of visual impairment between different gender and age groups. Logistic regression analysis was conducted to compare associations of visual impairment.