Blindness is defined as presenting visual acuity worse than 3/60 in the better eye. Its highest proportion has been conforming to the developing countries such as Ethiopia. So, timely information is crucial to design strategies. However, the study on the magnitude of blindness in Ethiopia was outdated which means it was conducted in 2005–2006. Therefore, this study was proposed to estimate the pooled prevalence of blindness in Ethiopia.
Databases like PubMed, Cochrane library, Google Scholar and references of retrieved articles were used to search for articles. A standard data extraction approach was employed and presented using Preferred Reporting of Items for Systematic Reviews and Meta-Analyses. The Newcastle-Ottawa Scale quality assessment tool was used to evaluate the quality of studies. Analysis held using STATA V.11. The funnel plot and Egger’s regression test were applied to check for the potential sources of bias. Heterogeneity among the studies was tested using I² statistics that have been calculated and compared with the standard. Meta-regression and subgroup analysis were done to identify the potential sources of heterogeneity. Estimation of blindness was carried out using Duval and Twee die’s trim and fill analysis. The pooled prevalence of blindness in Ethiopia is found to be 1.18% (95% CI 0.650% to 1.706%). Blindness is among the main public health difficulties in Ethiopia. So, it demands up-to-date strategies and its implementation, preventive and curative eye care service with affordable and accessible interventions, and evidence-based advocacy. The trial Registration Number is CRD42021268448.
- anterior chamber
- colour vision
- eye (globe)
- low vision aid
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Blindness refers to a lack of vision which may happen suddenly or over some time due to many reasons1 while WHO defined blindness as presenting visual acuity worse than 3/60 in the better eye.2 Its causes vary from region to region and from country to country.3 The causes of blindness have been either avoidable with prevention and treatment or unavoidable.4 Though the highest percentage of avoidable blindness has been corresponding to low-income and middle-income countries5 like Ethiopia. So, timely information is crucial to design strategies that address the life quality of sightless individuals.
The rationale of the current systematic review
The magnitude of blindness is increasing globally due to an increasing population and longer life expectancy.6 This statement may be true for our country Ethiopia. However, the study on the magnitude of blindness in Ethiopia was outdated (ie, done in 2005–2006).7 Thus, that is the reason that initiated authors to conduct this study while different studies have been conducted at the different segments of the country. Therefore, the authors are interested to estimate the pooled prevalence of blindness in Ethiopia to provide up-to-date comprehensive evidence on this theme.
To conduct a systematic review and meta-analysis on the prevalence of blindness in Ethiopia.
What is the pooled prevalence of blindness in Ethiopia?
Databases and searching strategy
We searched articles from the following databases which are directly related to the subject matter under review. So, PubMed, Cochrane library, Google Scholar and retrieving references from a list of eligible studies were employed. In addition to that, a supplemental search of databases had been applied through manual searching of the reference list of all included papers. We applied a Boolean operator that is “AND” and “OR”. Through consideration of Boolean operator we searched as follows (“Blindness” OR “Blindness” [Mesh Terms] OR “Blindness” [All Fields] “Vision loss”[Mesh Terms] OR “total blindness” [Mesh Terms] OR “avoidable blindness”[All Fields] OR “functional blindness” [All Fields] OR “treatable blindness” [All Fields] OR “preventable blindness” [All Fields] OR “needless blindness”[All Fields] OR “Visual impairment” [All Fields] AND “Ethiopia” [All Fields] by 13 October 2021.
The key features of the target population that the authors used to answer the research question were based on the mnemonic (Condition, Context and Population) approach. So, articles that meet the following criteria were included in this systematic review and meta-analysis.
Ethiopia inhabitants irrespective of their age, occupation, level of education and gender were considered.
Papers in which blindness was measured either based on best-corrected visual acuity or presenting visual acuity using any type of optotype (eg, LogMAR, Snellen E chart) were considered.
Original studies published only from 1990 to 2021, and that fulfil the other inclusion criteria were included.
This review included all cross-sectional and survey studies done using probability sampling techniques to keep the representativeness of the research finding (ie, including studies done using non-probability sampling may reduce the generalisability and accuracy of the estimation and its CI).
Studies only done in Ethiopia were included.
Studies that did not fulfil the inclusion criteria were excluded.
In the current meta-analysis, a total of 96 101 participants were included to estimate the pooled prevalence of blindness in Ethiopia. The study’s sample size was ranged from the highest (n=25 650)7 to the lowest (n=93).8
Data extraction and management
Standard systematic searching was conducted from those databases. Studies conducted before 1990, conducted in countries other than Ethiopia and unrelated articles based on their title were excluded. Those potentially eligible studies were imported to Endnote V.7 and exact duplicates had been removed. Two independent reviewers did the abstract and full-text review and data abstraction. In case of disagreement between the reviewers, a discussion was made to reach on consensus. Lastly, studies were screened and selected for full-text reviews based on the inclusion criteria. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement was used for reporting systematic review and meta-analysis to present the study inclusion, exclusion and reason for exclusion information in the diagram. The extraction included: author, publication status, region in the country where the study was conducted, study design, year of publication, the sample size and frequency of participants with blindness. Excel software was used for data storage.
To evaluate the quality of the studies, the authors utilised the Newcastle-Ottawa Scale quality assessment tool.9 Using the tool as a protocol, the reviewers (MM, BK and HBT) used the blinded review approach to evaluate the quality of the original articles. Those studies with high-quality scores (≥6 out of 10 scales) were included for analysis while it should be noted that medium and low-quality studies have been excluded from the meta-analysis. Conflicting ratings were resolved by taking the mean score of the authors to reach on consensus among reviewers.
A structured and standardised approach in which the prevalence of blindness, methodology (ie, sample size, study design), Year of publication, and authors were extracted from the primary studies using Microsoft Excel V.2013 format. A meta-analysis that based on a proportions approach was performed to determine the pooled estimate of blindness by using STATA V.11 software. The primary articles were summarised by using the table (table 1) and forest plot (figure 2). The researchers calculated the SE of the prevalence of blindness for each original article using the formula √ (P (100 P)/N) (where, P is the prevalence of blindness for each original article, N is the sample size of that specific study, √=the square root). If any heterogeneity is observed, it is considered as high (≥75%), moderate (25%–75%) and low (25% or less).10 Due to the high (considerable) degree of heterogeneity between the results of primary studies (I²=96.6%, p=0.000), a random effect model was applied to estimate the pooled prevalence of blindness. Univariate meta-regression was undertaken by taking the year of publication and sample size to detect the possible source (s) of heterogeneity, and authors identified sample size (p=0.005) to be a statistically significant source of heterogeneity. Point and pooled estimates as well as their 95% confidence intervals were illustrated by forest plots. Potential publication bias was assessed subjectively by funnel plot and objectively using Egger’s weighted correlation and Begg’s regression intercept at 5% significance level.11 In Egger’s test (p=0.008) and Begg’s test (p=0.001), the p value found to be less than 0.05 indicates the presence of publication bias. Therefore, further estimation was carried out using Duval and Twee die’s trim-and-fill analysis.
Subgroup analysis was conducted based on region, year of publication, sample size and based on meta-regression output.
The authors searched for pieces of literature for the theme under appraisal by 13 October 2021. A total of 319, 1040, 248 and 11 records have been identified through PubMed, Google Scholar, Cochrane Library and reference lists of retrieved articles, respectively.
A total of 1407 retrievals remained after the removal of duplicates. After evaluating the titles and abstracts, 1331 retrievals had been excluded because they were inappropriate for this meta-analysis regarding the outcome of interest. A total of 16 full-text studies and reviews come to be illegible because they were conducted outside Ethiopia.
Sixty-one full-text articles were assessed for eligibility based on the consideration criteria. Of those articles, 31 were found to be irrelevant for this review.12–42 Two articles that were done using non-probability sampling technique43 44 were excluded due to the concern that they may reduce the success of the study outcome. Two articles in which participants were self-selected45 46 were rejected with the caution to not bias representativeness of the result.
Four studies with an agreed quality score of less than six36 47–49 were disallowed to this meta-analysis to be confident that the reported results reflect the true nature of the data. One study done at refugee camps was banned from this meta-analysis, because it may include non-Ethiopian population.50
Finally, 21 studies were included in this qualitative and quantitative synthesis (online supplemental figure 1).
Description of original studies
In this study, 21 survey and cross-sectional studies were included (table 1). The studies were conducted from the year 1990–2021. The study’s sample size was ranged from the highest (n=25 650)7 to the lowest (n=93).8 In the current meta-analysis, a total of 96 101 participants were included to estimate the pooled prevalence of blindness in Ethiopia. The studies were conducted in the different parts of Ethiopia: Nationwide,7 36 Oromia Region,51 Amhara Region,16 48 49 52–60 Tigray Region,61 Southern Nation Nationalities Peoples Region (SNNPR),62–66 Gambella and Benishangul Gumuz Regions,50 Addis Ababa City Administration8 67 68 and unspecified (ie, area) school-based study.47 All of the studies were published. Independent evaluators’ (MM, BK and HBT) reassessed the articles and reached a consensus on articles on which disagreement was raised before the analysis. All studies with a quality score greater than or equal to 6 out of 10 were considered for synthesis.
Prevalence of blindness in Ethiopia
In this meta-analysis, a random effect model was used to estimate the overall pooled prevalence of blindness in Ethiopia (figure 1). But, considerable heterogeneity was seen among studies, objectively detected by I² statistic (I²=96.6%, p˂0.0001). Then, univariate Meta-regression was performed to explore the possible sources of heterogeneity. In meta-regression, sample size (p=0.005) and quality assessment score (p=0.047) were found to be potentially significant factors associated with the heterogeneity (table 2). So, the convention of the pooled prevalence of blindness in Ethiopia was attained using Duval and Twee die’s trim-and-fill analysis and found to be 1.18% (95% CI 0.650% to 1.706%).
Begg’s and Egger’s tests revealed the presence of statistically significant publication bias (p=0.001) and (p=0.008), respectively. The funnel plot also showed that the dots, representing the studies, were asymmetrically indicated the presence of publication bias (figure 2). Therefore, the trim-and-fill method was applied, and with this method, the pooled prevalence of blindness in Ethiopia was found to be 1.18% (95% CI 0.650% to 1.706%).
Also, we performed subgroup analysis to explore sources of heterogeneity based on the region where the studies conducted, sample size and year of publication (table 3).
Accordingly, the highest prevalence was reported in the SNNP region with a prevalence of 1.90% (95% CI 1.60% to 2.20%) (table 3). Concerning sample size, the prevalence of blindness is found to be nearly comparable in studies that had been included less than 1000 participants (1.14%; 95% CI 1.07% to 1.21%) and greater than 1000 participants (1.34%, 95% CI 1.09% to 1.59%) (table 3). Regarding the year of publication of studies, the prevalence of blindness was higher in studies that had been conducted before 2010 (1.21%; 95% CI 1.14% to 1.29%) as compared with those studies carried out after 2010 (0.86%; 95% CI 0.70% to 1.02%) (table 3).
Globally, blindness is recognised as one of the major public health problems, especially in low-income and middle-income countries where 90% of blind live.69 Ethiopia is one of the countries in which blindness was a public health issue according to Berhane et al.7
It is not always feasible to do a constant nationwide survey to have up-to-date information for health policy-makers, planners and advocators due to financial and qualified eye care insufficiency in developing countries. So, systematic review and meta-analysis of the existing small-scale studies in different parts of the country may play a significant role to address such kinds of concerns. In this meta-analysis, the estimated prevalence of blindness in Ethiopia is found to be 1.18% (ie, approximately 120 individuals are blind per 10 000 population) using 21 relevant studies. This finding is higher than the ‘vision 2020: the right to sight’ plan, to reduce blindness to less than 0.5% in all countries of the world, especially avoidable blindness.70 In Ethiopia, more than 80% of blindness has been preventable or treatable.7
The prevalence of blindness in this meta-analysis (1.18%, ie, 13.9 million of the current estimate of 118 million population) is lower than that of nationwide survey (1.6%, ie, 1.2 million of 75 million estimated population).7 The prevalence of blindness in Ethiopia was found to be reduced compared with the 2005–2006 study.7 However, the actual number of people with blindness has probably substantially increased, owing to population increase71 and ageing.72 This is all consistent with the Vision Loss Expert Group global blindness findings.6 Another possible explanation could be that health education and health promotion on primary eye care specifically on eye care may not be adequate. Our finding implies that the problem requires much more striving to reduce the prevalence of blindness in Ethiopia.
It was also the author’s concern to provide more information on the age distribution of blindness prevalence and numbers affected, however, the authors did not report that due to disagreement on data clarity regarding this specific issue and that is what hindered us from doing subgroup analysis based on age category.
The subgroup analysis of this study also showed that the prevalence of blindness varies across regions of Ethiopia. The highest prevalence of blindness was seen in people living in SNNPR (1.90%) as compared with other regions of the country. This pinpoints that despite the ‘vision 2020’ strategy implementation throughout the country, the condition (ie, blindness) is still in need of action while the SNNP region is yet another part of Ethiopia where incredible intervention to be viably implemented. This highest prevalence in the SNNP region may be comparatively due to obsolete studies (ie, most of the studies done in SNNPR and included in this meta-analysis were not performed recently).62–64 66 Appreciating this finding as evidence, we regret its representativeness of the recent outcome of that region of Ethiopia.
In this review, the prevalence of blindness was not relatively dependent on sample size (ie, 1.14% and 1.34% with comparable (overlapping) CIs for studies with a sample size of greater than 1000 and less than 1000, respectively). This cut point was not formally tested, but it is a subjective decision by authors to see any effect of sample size difference on the prevalence of blindness. At the same time, readers should recognise that there was no minimum sample size for studies to be included in this review. We hypothesise that this relative similarity may be due to the similar socioeconomic status of the study participants involved in studies that have been incorporated in this meta-analysis. Concerning study year, the prevalence of blindness was significantly lower in those studies conducted since 2010 as compared with those studied before 2010. This is probably due to the recently increasing number of outreach campaigns in different parts of the country. Another possible explanation could be that nearly all studies that were conducted in Ethiopia since 2010 may be fairly quality controlled.
This met-analysis is satisfactory in that it denotes the overall prevalence of blindness in Ethiopia, was stuck to the guidelines, ensuring the reliability in reporting and the full systematic review, and it offers the prevalence of blindness in regions of Ethiopia while it is limited in that it didn’t provide age and gender-specific prevalence of blindness.
According to this meta-analysis, blindness in Ethiopia is among the main public health difficulties of the country. So, it can cause a huge economic and social impact for the affected persons and to the community, and the country at large. Thus, to address this backlog of blindness, it demands up-to-date strategies and its implementation, preventive and curative eye care service with affordable and accessible interventions, and evidence-based advocacy to awaken all concerned bodies who are working to discourse avoidable blindness.
Patient consent for publication
Contributors MM: conception of research protocol, study design, literature review, data extraction, data analysis, quality assessment, interpretation and drafting the manuscript. BK and HBT: Data extraction, quality assessment and reviewing the manuscript. All the authors have read and approved the manuscript.
Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests None declared.
Provenance and peer review Not commissioned; externally peer reviewed.
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