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Prevalence of Trachomatous Trichiasis in Ethiopia: A Systematic Review and Meta Analysis Volume 56- Issue 1

Daniel Geleta1*, Wubalech Temesgen2 and Netsanet Workneh3

  • 1Department of Tropical & Infectious Diseases Jimma University, Ethiopia
  • 2Microbiology Diagnostic Laboratory Unit of Jimma Medical Center, Ethiopia
  • 3Departments of Pediatrics and child health, Jimma University, Ethiopia

Received: March 29, 2024; Published: April 11, 2024

*Corresponding author: Daniel Geleta, Department of Tropical & Infectious Diseases Jimma University, Jimma, Oromia, Ethiopia

DOI: 10.26717/BJSTR.2024.56.008791

Abstract PDF

ABSTRACT

Background: Trachomatous trichiasis, an advanced stage of trachoma infection, can be treated and prevented. It primarily affects economically disadvantaged and marginalized individuals, emphasizing the need for reliable and up-to-date data. However, countries like Ethiopia struggle to consistently gather data on trachoma elimination progress due to the infection's aggressive nature. Thus, the objective of a systematic review and meta-analysis was to present a comprehensive overview of trachomatous trichiasis prevalence in Ethiopia, with the aim of aiding trachoma elimination efforts.

Methodology: A systematic search was conducted in electronic databases to identify peer-reviewed journal papers published in English between January 2015 and December 2020. The search specifically targeted studies that reported the prevalence of trachomatous trichiasis among the adult population in Ethiopia. Three reviewers independently assessed the quality of the included studies, and a standardized charting form was used for data extraction. The synthesized data were subjected to both qualitative and quantitative analysis. The quantitative results were pooled, and an exploration of sources of variation was undertaken. Furthermore, a statistical meta-analysis was conducted using STATA version 16.0 to examine potential sources of influence on prevalence estimates and to assess publication bias.

Results: After excluding 121 duplicate entries, 108 irrelevant titles and abstracts, and removing three articles based on reasons identified during full-text screening, a total of ten eligible cross-sectional studies were included for analysis. The primary outcome of interest in all included studies was the prevalence of Trachomatous trichiasis. The overall pooled prevalence of Trachomatous trichiasis was found to be 1.80% (95% CI = 1.15, 2.44). The individual prevalence estimates from the studies ranged from 0.5% (95% CI = 0.42, 0.60) to 3.9% (95% CI = 3.82, 3.98). On subgroup analysis, the highest prevalence of 3.76% (95% CI = 3.20, 4.41) was reported in Gambella, while the lowest prevalence of 0.5% (95% CI = 0.42, 0.60) was reported in Somalia. The overall trend of the prevalence demonstrated an unstable pattern.

Conclusion: The prevalence of trachoma trichiasis in all regions of Ethiopia exceeds the elimination threshold, highlighting the urgent need for additional implementation efforts.

Keywords: Elimination; Ethiopia; Meta-Analysis; Prevalence; Review; Trachoma Trichiasis

Abbreviations: CI: Confidence Interval; CBCS: Community-Based Cross-Sectional Study; ETP: Estimate Trachoma Prevalence; TF: Follicular Inflammation; TT: Trachomatous Trichiasis; WHO: World Health Organization

Introduction

Trachoma is a neglected tropical disease that primarily affects impoverished and marginalized populations worldwide. It is caused by an infection with the bacterium Chlamydia trachomatis, which spreads through personal contact and by flies that have come into contact with the discharge of infected individuals within a community. The disease typically manifests as inflammation of the conjunctiva during early childhood, leading to scarring, corneal opacity, and ultimately blindness in individuals aged 15 years and older [1-5]. To facilitate simple and cost-effective diagnosis, the World Health Organization (WHO) has established a grading scale to assess the characteristics of trachoma infection. This scale includes five distinct stages of increasing severity: follicular inflammation (TF), intense trachomatous inflammation, trachomatous scarring, trachomatous trichiasis (TT), and corneal opacity. Trachomatous trichiasis (TT) represents a spectrum of the disease and is characterized by inward-turned eyelashes due to scarring of the upper eyelids. This stage of the disease typically occurs after active trachoma has been controlled and is more commonly diagnosed in adults aged 15 and above, while it is rarely diagnosed in children [5,6].

The World Health Organization (WHO) has been advocating and leading the implementation of the Surgery, Antibiotics, Facial cleanliness, and Environmental improvement (SAFE) strategy to eliminate blinding trachoma in high-burden countries. This strategy is supported by regular surveys and operational research. However, despite the relatively easy prevention and cure options provided by these strategies, trachoma remains the leading infectious cause of blindness worldwide [7,8]. Various studies have reported that 200 million people are still at risk of trachoma, with 1.8 million people experiencing visual loss, 450 thousand people suffering irreversible blindness, and 3.2 million people requiring trichiasis (TT) surgery to prevent blindness and its subsequent burden.

The impact of trachoma on affected individuals and communities can be assessed by measuring the prevalence of Trachomatous Inflammation-Follicular (TF) in children aged 1 to 9 years, TT in individuals aged 15 years and above, and the overall prevalence among the total population. Regular data summarization from prevalence surveys and research helps identify a country's progress towards trachoma elimination. WHO has used this summarized data to announce several countries that are making significant progress in eliminating trachoma. Countries that meet the criteria of having a prevalence of TT of less than 1 case per 1000 individuals aged 15 years and above, and TF of less than 5% in children aged 1 to 9 years, are awarded a certificate of trachoma elimination [9-11]. However, many countries, including those in Africa, continue to struggle with trachoma due to two main factors: suboptimal evidence generation and poorly controlled trachoma determinants such as sanitation, overcrowding, and poverty. These factors hinder the successful implementation of trachoma control measures and impede progress towards elimination [8,11,12].

To address this global issue, Ethiopia has formed a dedicated task force and has been actively executing a range of initiatives to eliminate trachoma. These efforts encompass conducting surveys and operational research. The task force plays a crucial role in regularly consolidating data and monitoring the implementation progress to ensure that the prevalence of trachomatous trichiasis (TT) falls below the elimination threshold. Unfortunately, trachoma continues to be a leading cause of blindness, particularly affecting disadvantaged populations, with a higher prevalence (6.2% of TT) among individuals aged 15 and older throughout the country [3,4,13].

Individual trachoma research, generation of summarized data on prevalence, and detailed observational studies were all planned to contribute to trachoma eradication. However, there was a lack of summarized data, especially regarding the contemporary prevalence pattern of trachomatous trichiasis (TT) in the Ethiopian population aged 15 years and older. Therefore, this systematic review and meta-analysis aimed to determine the prevalence of TT among the adult population in Ethiopia from January 2015 to December 2020. During the prevalence analysis, the current administrative subdivision of Ethiopia was divided into ten ethno-linguistic territorialities: Afar, Amhara, Benshangul-Gumuz, Gambela, Harari, Oromia, Sidama, Somali, South Nation's Nationalities & Peoples Region (SNNPR), and Tigray. Additionally, two chartered cities, Addis Ababa and Dire Dawa, were included to characterize the prevalence [14].

Methods

Protocol and Registration

The plan for this review was developed based on the guidelines provided by the Center for Review and Discrimination [15], as well as a meta-analysis report of observational studies following epidemiological guidelines [16]. The selection of studies was conducted in accordance with the recommendations outlined in the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) [17]. The study protocol was established and registered in the PROSPERO-International prospective register of systematic reviews. Following a comprehensive evaluation of existing reviews on the PROSPERO website, the review was assigned the unique identification number CRD42021260802 by PROSPERO, signifying its endorsement and recognition.

Eligibility Criteria

Peer-reviewed journal papers conducted in Ethiopia between 2015 and 2020 were included in this study. The papers had to be published in English-language journals and involve adult participants. The study included original articles with quantitative, qualitative, or mixed study designs that reported data on the prevalence and determinants of trachoma among adults, regardless of the study setting. Papers that did not meet the inclusion criteria, such as those lacking the numerator and denominator needed for estimating the effect size of prevalence, were excluded from the review. Additionally, narratives, commentaries, implementation reports, and essays were excluded. To ensure the review captured the most recent developments in trachoma intervention activities, it focused on the five most recent years following a significant scale-up of trachoma interventions by various stakeholders. This period was chosen to align with the efforts of the WHO Get2020 alliance. The review also had limitations in terms of the geographic study areas included, as the epidemiologic pattern of trachoma infection can vary greatly depending on the intensity of intervention efforts in each locality [17].

Information Sources, Search Strategies and Selection of Sources of Evidence

For this study, original peer-reviewed articles published in English-language journals between January 2015 and December 2020 was collected. Systematic searches were conducted across various electronic bibliographic databases, including PubMed, Google Scholar, Scopus, HINARI, Web of Science, and Worldwide Science. The searches included articles with full text available as of June 2021. The search strategy used for PubMed is outlined in Table 1. The articles identified in the study were collected and stored in a clipboard before being transferred to the Zotero reference management software. A systematic review was conducted on these articles using specific criteria including participants, context, concept, outcome, and study design. In order to be included, the articles had to meet five criteria. First, they needed to focus on the prevalence of trachomatous trichiasis (TT) among adults. Second, they had to examine the determinants of TT prevalence without co-morbidity, excluding studies that investigated trachoma and other infections simultaneously to determine the independent effect of each factor on the outcome. Studies that examined prevalence among non-adult population groups were also not considered. Third, studies conducted in urban, suburban, semi-rural, and rural settings were included, while those claiming to cover all regions of the country were excluded.

Table 1: Search approach and data extraction format.

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Fourth, at least one outcome or finding from the study had to be included. Fifth, only peer-reviewed articles written in English that utilized original cross-sectional and observational research methods were considered, excluding grey literature, narratives, commentaries, reports, essays, and systematic reviews. Three independent reviewers, Daniel Geleta (DG) with epidemiological experience, Wubalech Temsgen with laboratory background and Netsanet Workneh (NW) with medical experience, reviewed the articles. The initial screening involved evaluating titles and abstracts, followed by a thorough review of the full texts. Any discrepancies between the reviewers regarding study selection and data extraction were resolved through discussion and consensus.

Data Charting and Data Items

A data-charting form was collaboratively created by two reviewers to identify the variables to be extracted. Both reviewers individually charted the data, engaged in discussions about the findings, and regularly updated the data-charting form through an iterative process. After finalizing the article selection, relevant information such as the first author(s), publication year, geographical region, study objective, research design, characteristics of the participants (adults), sample size, measurement methods, and recorded outcomes for analysis were entered into a spreadsheet. The details are presented in (Table 2).

Table 2: Search approach and data extraction format.

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Study Quality and Risk of Bias Assessment

The authors of the study used the Newcastle-Ottawa quality assessment tool scale to evaluate the quality of cross-sectional studies. They also consulted an existing tool for assessing the risk of bias in prevalence studies to evaluate inter-rater agreement. The Newcastle-Ottawa tool has three indicators. The first indicator assesses the methodology of the study and is graded out of five stars. The second indicator assesses the comparability of the studies and is graded out of three stars. The last indicator measures the quality of the original articles in terms of their statistical analyses and is graded with two stars. For the analysis, cross-sectional studies with medium (fulfilling 50% of quality assessment criteria) and high quality (≥6 out of 10 scales) scores were included. The first author assessed the quality of the studies and obtained validation from the second author. Additionally, an existing quality assessment tool was used for assessing the quality of observational studies [18].

Data Synthesis and Analysis

A narrative account was created to summarize the included studies and present the combined prevalence and factors associated with TT. The prevalence data was then visualized using a line graph, which showed the relationship between prevalence and publication year. The graph organized the prevalence data chronologically, allowing for the identification of any existing patterns in the infection rates over time. Additionally, the studies were grouped based on the administrative territories (regions) of the respective countries to highlight the heterogeneity of the studies across different regions.

Statistical Meta-Analysis

The researchers conducted a meta-analysis to determine the pooled prevalence of TT using stata-16 software. They employed both fixed-effects and random-effects models to calculate the pooled prevalence. A forest plot was used to visualize the individual and pooled prevalence of the studies, along with their corresponding 95% Confidence Intervals (CI), based on methodological similarities. The statistical heterogeneity of the included studies was assessed using the Q-static test and I2 statistics, along with their corresponding 95% CI. Heterogeneity values falling within the 75-100% quartiles were considered significant. The fixed-effects model was used when the data demonstrated heterogeneity within the two lower quartiles, while the random-effects model was applied otherwise. To examine the trends of TT over the review years, a meta-regression was performed based on the individual study prevalence weights that contributed to the pooled prevalence. Subgroup analysis was conducted using region, sample size, and year of publication to detect heterogeneity. Furthermore, meta-regression was utilized to explore potential sources of heterogeneity. The researchers also conducted sensitivity analyses by excluding each study from the meta-analysis to assess the impact of individual studies on heterogeneity. Additionally, reporting and publication bias were assessed using a funnel plot, and the potential source of publication bias was examined using Egger's tests.

Results

Search Results and Selected Source of Evidence

The electronic database searches yielded a total of 253 records, with 134 from PubMed, 116 from Worldwide Science, and 3 from other sources. Prior to the titles and abstracts screening, 132 duplicate records were removed, resulting in 121 studies being excluded. During the title and abstract screening stage, 108 articles were further eliminated, leaving us with 13 studies for full-text assessment. These 13 full-text articles were obtained from various libraries. Upon conducting the full-text screening, we identified 10 articles that were relevant to our review. No additional articles were excluded after the full-text assessment, as indicated in Figure 1 of the flowchart. Throughout the removal and exclusion process, the main reasons for exclusion were the focus of the study [18-25], the study site [21,26-29], and the target study population [20,22-29]. Consequently, a total of 13 articles were included in our comprehensive data evaluation. However, three articles [30,31-32] were excluded due to their target population and lack of relevance to the review's content. Ultimately, ten articles underwent quality appraisal, data abstraction, and were used for narrative account and meta-analysis stages [13,33-41].

Figure 1

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Table 2 provides a summary of the included studies, organized according to the following criteria: first author, year of publication, study region, study purpose, study design, sample size, response rate, study outcome, and the specific outcomes that were analyzed. The included studies consist of a combination of earlier publications and more recent ones. Five articles were published in 2016 [33-37], while three and two studies were published in 2018 [40,41] and 2019 [13,41], respectively. The publications covered various regions, with two studies from the Amhara region [13,39], and one each from Gambela [33], Tigray [34], Beneshangul [35], Somalia [42], Afar [38], SNNPR [43], and Oromia [35]. One study was conducted at a national level, covering a wider area of the country [13]. The majority of the included studies (50.0%) were published in 2016 [32-36], and no publications were identified or included for the years 2015, 2017, and 2020 (Figure 2).

Figure 2

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Description of Included Studies

Despite regional variations, all the included studies followed a similar protocol to define the characteristics of their participant population. Each study employed a cross-sectional design without repeated measurements or control groups, with the primary aim of estimating trachoma prevalence. None of the reviewed articles specifically investigated the determinants of trachomatous trichiasis among the adult population during the review period in the respective study areas listed in Table 2. The study purposes of all the included articles were motivated by the need to identify the prevalence of trachoma using a community-based cross-sectional survey (CBCS). The sample sizes varied across the studies, ranging from 3,781 [33] to 241,139 [13], with no reported response rate for any of the included studies. Data collection was conducted at the household level within areas with a total population ranging from 100 to 250,000, serving as the evaluation unit. The prevalence of trachoma and the simultaneous analysis of TT and trachomatous inflammation follicular (TF) prevalence were considered as outcomes in each evaluation unit [13,33-41].

Critical Appraisal Within Sources of Evidence

The included studies underwent a critical appraisal process to assess their quality in terms of participant selection, outcome of interest, and reported findings, as indicated in Table 2. Each study was evaluated for the use of scientifically appropriate sampling methods, adequate sample sizes, and appropriate data analysis techniques. The appraisal was conducted independently by multiple reviewers, using a predetermined format. After completing their individual assessments, the results were compared among the reviewers. Ultimately, all the studies received a strong quality rating of greater than five (>5), as indicated in the right column of (Table 2) [13,33-41].

Pooled Prevalence of TT and Contribution of Region

The findings of a systematic review conducted in Ethiopia indicate that the overall prevalence of trachomatous trichiasis (TT) among the adult population was 1.8% (95% CI = 1.15, 2.44). However, it is important to note that the review identified a high level of significant heterogeneity (I2 = 99.81%, p < 0.001) among the included studies. Each individual study reported varying prevalence estimates, ranging from 0.0% (95% CI = 0.42, 0.60) to 3.9% (95% CI = 3.82, 3.98). These variations were reflected in the forest plot, where the corresponding weight contributions ranged from 9.29% to 10.11% (Figure 2). Significant variations were observed in the contribution of each region to the overall pooled prevalence of trachomatous trichiasis (TT). According to the included studies, Abashawl reported a contribution of 3.76% (95% CI = 3.17, 4.41) from the Gambella region [44], while Tigray had a prevalence of 1.6% (95% CI = 1.45, 1.75) based on the study by Sherif [45], and Beneshangul reported a prevalence of 1.3% (95% CI = 1.15, 1.46) according to the study by Adamu [34]. Other reported prevalence rates included 0.82% (95% CI = 0.77, 0.87) in Oromia [35] by Bero, 1.49% (95% CI = 1.43, 1.56) in SNNPR by Adera [36], 1.4% (95% CI = 0.93, 1.38) in Afar by Nagash [53], 1.7% (95% CI = 1.53, 1.89) in Amhara by Nash [38], 3.9% (95% CI = 3.82, 3.98) in Somali by Duale [55], 0.5% (95% CI = 0.42, 3.98) in Amhara by Stewart [13], and 1.9% (95% CI = 1.84, 1.95) at the national level by Mecleod [40] (Figure 2). Furthermore, the prevalence of TT displayed an unstable pattern of change over the five-year review period. Figure 3 demonstrates a high prevalence in 2016, a decline in 2018, a subsequent increase in 2019, and another decline starting in 2019.

Figure 3

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Subgroup Analysis and Investigation of Heterogeneity

To investigate the variation among different regions in Ethiopia, a subgroup analysis was performed based on the administrative division of the country. A random-effects model was utilized for this analysis. Figure 4 illustrates the results of this subgroup analysis. Among the nine regions examined, the Gambella region exhibited the highest prevalence of trachomatous trichiasis (TT) at 3.76% (95% CI = 3.20, 4.41), followed by the Amhara region with a prevalence of 3.50% (95% CI = 3.42, 3.57). On the other hand, the Oromia region had the lowest prevalence at 0.82% (95% CI = 0.77, 0.87). Significant heterogeneity was observed between the regions, as indicated by an I2 value of 99.81% and a p-value of less than 0.001 (Figure 4). It is important to note that since each region was represented by only one or two candidate articles, the findings regarding intragroup heterogeneity remained consistent with the overall pooled prevalence results depicted in Figure 4.

Figure 4

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Sensitivity Testing

A sensitivity analysis was conducted to evaluate the stability of the pooled effect in the meta-analysis. Each article was systematically excluded, but overall, there were no significant changes observed in the results. However, it is important to note that two studies [13,33] did have a slight impact on reducing the effect size. Further analysis was performed using univariate meta-regression analysis followed by multivariate analysis. Two variables, namely the year of publication and sample size, were examined. The results indicated that the sample size was identified as a potential source of heterogeneity, suggesting that variations in sample sizes across the studies may have influenced the overall effect size. On the other hand, the year of publication did not show a significant association with the observed heterogeneity. Detailed information can be found in Table 3.

Table 3: Meta Regression analysis output on factors associated with heterogeneity of prevalence of TT among adults in Ethiopia.

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Publication Bias

Publication bias was evaluated using a funnel plot, which is commonly recommended to assess the presence of bias in meta-analyses. As a general guideline, at least 10 studies are typically required to differentiate between a truly symmetrical distribution and one that occurs by chance [46]. In this analysis, a total of ten articles were included in the meta-analysis. The funnel plot displayed a symmetric distribution of the studies, indicating the absence of evidence for publication bias (Figure 5). This suggests that the included studies were not selectively published based on their results, providing more confidence in the reliability of the meta-analysis findings.

In the present systematic review and meta-analysis, researchers conducted a comprehensive evaluation of published data concerning the prevalence and factors influencing trachomatous trichiasis (TT) in adults aged 15 years and above in Ethiopia. Throughout the review, it was observed that extensive trachoma elimination activities took place in Ethiopia between 2015 and 2020 [13]. However, these activities lacked extensive data on large sample sizes and did not employ robust study designs to examine the determinants of TT. Most of the identified articles were carried out by local trachoma implementing partners with limited involvement of academic institutions, and the prevalence of trachoma, including TT, was primarily assessed using cross-sectional study designs [13,33-41].

Figure 5

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The overall pooled prevalence in the country was found to be 1.80%, which exceeded the international elimination threshold of less than 1% [7]. Specifically, the prevalence of trachomatous trichiasis (TT) was found to be higher in certain regions of Ethiopia compared to the overall pooled prevalence. In Gamibella, Amhara, and at the national level, the TT prevalence was approximately 1.96%, 1.7%, and 0.1% higher, respectively, than the pooled prevalence. However, in regions such as Oromia, Benshangul-Gumuz, Afar, Tigray, Somalia, and SNNPR, the TT prevalence was lower than the pooled prevalence. When compared to the World Health Organization (WHO) trachoma elimination threshold of 1% per 1000 population, the pooled prevalence was 0.8% higher [2]. Furthermore, in comparison to other countries, the current pooled result was higher than the study reports in Senegal [48] but lower than the study results conducted in Kenya [47]. These variations can be explained by several factors, with the predominant reasons being the historical endemicity of trachoma in the area and the level of trachoma intervention activities in a particular region [15].

Additionally, the time period of the study could be significant, particularly in Gamibella and Tigray, as the studies were conducted in 2016, while the implementation activities have continued to date, resulting in a significant reduction in prevalence. The prevalence of TT also varied among different regions, and the sample size was identified as a possible source of variation. Although population-based survey design parameters were uniformly endorsed for all trachoma endemic countries, individual countries may modify the design based on factors such as topography, the healthcare system, environmental sanitation, and characteristics of the study population [49]. Despite the regional variations, the results have been utilized to assess the progress of trachoma program implementation in relation to the WHO trachoma elimination threshold and have contributed to elimination activities [13,33-41]. According to the trachoma program guidelines, surveys are expected to be conducted every six months following trachoma-related activities to monitor and control cases [50-64] of TT and contribute to general trachoma elimination efforts.

However, the review revealed that the number of studies conducted in recent years has been even lower than in earlier years, while the prevalence of TT has shown an inconsistent increase. In comparison to other regions, the Amhara region published two of the included articles and was recognized as the region with a higher number of research projects, despite the overall scarcity of research in the country [30,33]. This observation may be attributed to the higher prevalence of trachoma in that particular region [63]. The included articles in the review examined the prevalence of trachomatous trichiasis (TT) across different age groups, using self-reported responses as the primary data collection method. However, this approach is considered ontologically inconvenient as it may introduce biases. None of the studies incorporated laboratory tests to confirm the presence of infection. Additionally, many of the articles did not provide detailed statistical evidence or state tool validation for outcome measurement [13,33-41].

The studies were conducted at the household level, with the district serving as the evaluation unit. The prevalence of TT was estimated at the regional level, which informed decision-making regarding the continuation or discontinuation of trachoma intervention activities at the community level. The sample sizes used in the studies varied across regions, ranging from a minimum of 3,781 participants in Gambella [48] to a maximum of 208,265 participants in the Amhara region [13]. Despite similar objectives and study designs among the included studies, the standard definition of response rate, which is typically acceptable at 10-15% for surveys, was not reported. Furthermore, the analyzed articles focused solely on morbidity as the outcome and did not explore additional analyses that could have provided further insights. However, these reviewed articles have been instrumental in assisting trachoma elimination activity implementing partners in determining the prevalence of TT in the field and implementing appropriate TT elimination measures [16,64].

Strengths and Limitations of the Study

The review was carried out by two reviewers with the aim of summarizing and preparing the data for decision-making during the crucial period of trachoma elimination. The review encompassed all relevant evidence and included only studies of high quality. However, the number of included studies was limited, and some of them lacked important variables, which restricted the scope of certain analyses. Additionally, due to the scarcity of systematic reviews and meta-analyses in the specific area of study, we compared the current findings with the results of non-systematic reviews and meta-analyses studies.

Conclusion and Recommendations

In conclusion, the systematic review and meta-analysis reveal that trachomatous trichiasis (TT) remains a significant public health concern in all regions of Ethiopia, surpassing the WHO elimination threshold. The prevalence of TT varies across regions, with most regions exhibiting higher rates than the overall average and displaying an unstable trend. It is imperative to conduct high-quality research to gain a better understanding of the current patterns of trachoma among adults in Ethiopia. Observational studies are recommended to investigate temporal factors influencing trachoma elimination and guide targeted interventions. Implementers should take immediate action and implement measures to prevent the occurrence and transmission of trachoma. Addressing the determinants of TT and developing focused interventions are crucial steps toward eliminating trachoma as a public health problem in Ethiopia.

Declarations

Ethical Approval and Consent to Participate

Not applicable.

Consent for Publication

Not applicable.

Availability of Data and Materials

All relevant data are within the paper and its supporting information files.

Competing Interests

The authors declare that they have no competing interests.

Funding

There was no specified source of fund for the included sources of evidence, as well as the scoping review.

Authors’ Contribution

DG has conceptualized and designed the study, while DG and NW equally contributed to the analysis, interpretation, and reporting of the review. Additionally, DG, NW, and WT were jointly involved in literature search, study selection, data extraction, quality assessment, and manuscript write-up. The final manuscript version was approved by DG, NW, and WT, and DG was given the role of correspondence.

Acknowledgements

There is no special acknowledgment.

References

  1. Amenu K, Getachew T, Bekele A, Defar A, Taddesse M, et al. (2017) Neglected Tropical Diseases (NTD) service availability at health facilities in Ethiopia: Evidence from 2014 Ethiopian service provision assessment. EJHD 31(1).
  2. (2017) World Health Organization, Department of Control of Neglected Tropical Diseases. Integrating neglected tropical diseases into global health and development: fourth WHO report on neglected tropical diseases.
  3. Anthony W Solomon, Rosanna W Peeling, Allen Foster, David C W Mabey (2004) Diagnosis and assessment of trachoma. Clinical Microbiology Reviews 17: 982-1011.
  4. Solomon AW, Peeling RW, Foster A, Mabey DCW (2004) Diagnosis and Assessment of Trachoma. Clin Microbiol Rev 17: 982-1011.
  5. (2004) WHO simplified trachoma grading system. Community Eye Health 17(52): 68.
  6. Tadesse B, Worku A, Kumie A, Yimer SA (2017) Effect of water, sanitation, and hygiene interventions on active trachoma in North and South Wollo zones of Amhara Region, Ethiopia: A Quasi- experimental PLoS Neglected Tropical Diseases.
  7. Amenu K, Getachew T, Bekele A, Defar A, Taddesse M, et al. (2017) Neglected Tropical Diseases (NTD) service availability at health facilities in Ethiopia: Evidence from 2014 Ethiopian service provision assessment. EJHD 31(1).
  8. (2017) World Health Organization, Department of Control of Neglected Tropical Diseases. Integrating neglected tropical diseases into global health and development: fourth WHO report on neglected tropical diseases.
  9. (2020) CDC - Neglected Tropical Diseases - Global NTD Programs.
  10. Asaolu S, Caines K, Crompton D, Diallo A, Ndiaye J, et al. (2008) Methodology for evaluation of neglected tropical disease control programmes at country level n.d.: 65.
  11. Bero (2020) World Health Organization. WHO alliance for the global elimination of trachoma by 2020: progress report, 2019. Weekly Epidemiological Record 95: 349-360.
  12. Solomon AW, Kello AB, Bangert M, West SK, Taylor HR, et al. (2020) The simplified trachoma grading system, amended. Bull World Health Organ 98: 698-705.
  13. Stewart AEP, Zerihun M, Gessese D, Melak B, Sata E, et al. (2019) Progress to Eliminate Trachoma as a Public Health Problem in Amhara National Regional State, Ethiopia: Results of 152 Population-Based Surveys. The American Journal of Tropical Medicine and Hygiene 101: 1286-1295.
  14. (2011) Habīb M. The Ethiopian federal system: the formative stage. Addis Ababa: Friedrich-Ebert- Stiftung.
  15. Our guidance - Centre for Reviews and Dissemination, University of York n.d. https://www.york.ac.uk/crd/guidance/.
  16. Stroup DF, Berlin JA, Morton SC, Olkin I, Williamson GD, et al. (2000) Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA 283: 2008-2012.
  17. Moher D, Liberati A, Tetzlaff J, Altman DG (2009) Group TP. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLOS Medicine 6(7): e1000097.
  18. (2018) Critical Appraisal Skills Programme (CASP). CASP Checklist: Cohort Study. Casp Uk 7.
  19. Morberg DP, Alemayehu W, Melese M, Lakew T, Sisay A, et al. (2019) A Longitudinal Analysis of Chlamydial Infection and Trachomatous Inflammation Following Mass Azithromycin Distribution. Ophthalmic Epidemiology 26: 19-26.
  20. Anteneh ZA, Getu WY (2016) Prevalence of active trachoma and associated risk factors among children in Gazegibela district of Wagehemra Zone, Amhara region, Ethiopia: community-based cross- sectional study. Tropical Diseases, Travel Medicine and Vaccines 2: 5.
  21. Oswald WE, Stewart AE, Kramer MR, Endeshaw T, Zerihun M, et al. (2017) Active trachoma and community use of sanitation, Ethiopia. Bulletin of the World Health Organization 95: 250-260.
  22. Durkin SR, Casson R, Newland HS, Selva D (2006) Prevalence of trachoma and diabetes-related eye disease among a cohort of adult Aboriginal patients screened over the period 1999-2004 in remote South Australia. Clinical & Experimental Ophthalmology 34: 329-334.
  23. Garn JV, Boisson S, Willis R, Bakhtiari A, Al Khatib et al. (2018) Sanitation and water supply coverage thresholds associated with active trachoma: Modeling cross-sectional data from 13 countries. PLoS Neglected Tropical Diseases.
  24. Yalew KN, Mekonnen MG, Jemaneh AA (2012) Trachoma and its determinants in Mojo and Lume districts of Ethiopia. The Pan African Medical Journal 13(Suppl 1): 8.
  25. Flueckiger RM, Giorgi E, Cano J, Abdala M, Amiel ON, et al. (2019) Understanding the spatial distribution of trichiasis and its association with trachomatous inflammation follicular. BMC Infectious Diseases 19: 364.
  26. Hiep NX, Ngondi JM, Anh VT, Dat TM, An TV, et al. (2018) Trachoma in Viet Nam: results of 11 surveillance surveys conducted with the Global Trachoma Mapping Project. Ophthalmic Epidemiology 25: 93-102.
  27. Jie Y, Xu L, Ma K, Zhang S, Zhu J, et al. (2008) Prevalence of trachoma in the adult Chinese population.The Beijing Eye Study. Eye (London, England) 22: 790-791.
  28. Muluneh EK, Zewotir T, Bekele Z (2016) Rural children active trachoma risk factors and their interactions. The Pan African Medical Journal 24: 128.
  29. Tadesse B, Worku A, Kumie A, Yimer SA (2017) The burden of and risk factors for active trachoma in the North and South Wollo Zones of Amhara Region, Ethiopia: a cross-sectional study. Infectious Diseases of Poverty 6: 143.
  30. Ngondi J, Gebre T, Shargie EB, Graves PM, Ejigsemahu Y, et al. (2008) Risk factors for active trachoma in children and trichiasis in adults: a household survey in Amhara Regional State, Ethiopia. Transactions of the Royal Society of Tropical Medicine and Hygiene 102: 432-438.
  31. Habtamu E, Wondie T, Aweke S, Tadesse Z, Zerihun M, et al. (2015) Trachoma and Relative Poverty: A Case-Control Study. PLoS Neglected Tropical Diseases 9: e0004228.
  32. Regassa K, Teshome T (2004) Trachoma among adults in Damot Gale District, South Ethiopia.Ophthalmic Epidemiology 11: 9-16.
  33. Abashawl A, Macleod C, Riang J, Mossisa F, Dejene M, et al. (2016) Ophthalmic Epidemiology 23: 77-83.
  34. Sherief ST, Macleod C, Gigar G, Godefay H, Abraha A, et al. (2016) The Prevalence of Trachoma in Tigray Region, Northern Ethiopia: Results of 11 Population-Based Prevalence Surveys Completed as Part of the Global Trachoma Mapping Project. Ophthalmic Epidemiology 23: 94-99.
  35. Adamu Y, Macleod C, Adamu L, Fikru W, Kidu B, et al. (2016) Prevalence of Trachoma in Benishangul Gumuz Region, Ethiopia: Results of Seven Population-Based Surveys from the Global Trachoma Mapping Project. Ophthalmic Epidemiology 23: 70-76.
  36. Bero B, Macleod C, Alemayehu W, Gadisa S, Abajobir A, et al. (2016) Prevalence of and Risk Factors for Trachoma in Oromia Regional State of Ethiopia: Results of 79 Population-Based Prevalence Surveys Conducted with the Global Trachoma Mapping Project. Ophthalmic Epidemiology 23: 392-405.
  37. Adera TH, Macleod C, Endriyas M, Dejene M, Willis R, et al. (2016) Prevalence of and Risk Factors for Trachoma in Southern Nations, Nationalities, and Peoples‟ Region, Ethiopia: Results of 40 Population-Based Prevalence Surveys Carried Out with the Global Trachoma Mapping Project. Ophthalmic Epidemiology 23: 84-93.
  38. Negash K, Macleod C, Adamu Y, Ahmed M, Ibrahim M, et al. (2018) Prevalence of trachoma in the Afar Region of Ethiopia: results of seven population-based surveys from the Global Trachoma Mapping Project. Ophthalmic Epidemiology 25: 3-10.
  39. Nash SD, Stewart AEP, Astale T, Sata E, Zerihun M, et al. (2018) Trachoma prevalence remains below threshold in five districts after stopping mass drug administration: results of five surveillance surveys within a hyperendemic setting in Amhara, Ethiopia. Transactions of Epidemiology the Royal Society of Tropical Medicine and Hygiene 112: 538-545.
  40. Duale AB, Negussu Ayele N, Macleod CK, Kello AB, Eshetu Gezachew Z, et al. (2018) Epidemiology of trachoma and its implications for implementing the “SAFE” strategy in Somali Region, Ethiopia: results of 14 population-based prevalence surveys. Ophthalmic Epidemiology 25: 25-32.
  41. Macleod CK, Porco TC, Dejene M, Shafi O, Kebede B, et al. (2019) Optimising age adjustment of trichiasis prevalence estimates using data from 162 standardised surveys from seven regions of Ethiopia. Ophthalmic 26: 161-168.
  42. (2011) Institute of Medicine (US) Forum on Microbial Threats. The Causes and Impacts of Neglected Tropical and Zoonotic Diseases: Opportunities for Integrated Intervention Strategies. Washington (DC): National Academies Press (US).
  43. pdfn.d. Google        Search         n.d.
  44. (2017) World Health Organization. Integrating neglected tropical diseases into global health and development: fourth WHO report on neglected tropical diseases.
  45. Kassim K, Kassim J, Aman R, Abduku M, Tegegne M, et al. (2019) Prevalence of active trachoma and associated risk factors among children of the pastoralist population in Madda Walabu rural district, Southeast Ethiopia: a community-based cross- sectional study. BMC Infectious Diseases 19: 353.
  46. WHO simplified trachoma grading system- PubMed n.d. https://pubmed.ncbi.nlm.nih.gov/17491830/.
  47. (2011) The Causes and Impacts of Neglected Tropical and Zoonotic Diseases: Opportunities for Integrated Intervention Strategies: Workshop Summary. Washington DC: National Academies Press.
  48. Training system for trachoma prevalence surveys | Tropical Data n.d. https://tropicaldata.knowledgeowl.com/help/training- system-for-trachoma-prevalence- surveys.
  49. Modesti PA (2016) Cross Sectional Study Newcastle - Ottawa Quality Assessment Scale. PLoS ONE 11: 1-2.
  50. Damian Hoy, Peter Brooks, Anthony Woolf, Fiona Blyth, Lyn March, et al. (2012) Assessing risk of bias in prevalence studies: modification of an existing tool and evidence of interrater agreement. Journal of Clinical Epidemiology 65(9): 934-939.
  51. (2018) Critical Appraisal Skills Programme. CASP Case Control Study Checklist.
  52. Huedo Medina TB, Sánchez Meca J, Marín Martínez F, Botella J (2006) Assessing heterogeneity in meta-analysis: Q statistic or I2 index? Psychol Methods 11(2): 193-206.
  53. Tilahun Z, Fenta TG (2018) Coverage of azithromycin mass treatment for trachoma elimination in Northwestern Ethiopia: a community based cross-sectional study. BMC Ophthalmology 18: 193.
  54. Gebrie A, Alebel A, Zegeye A, Tesfaye B, Wagnew F, et al. (2019) Prevalence and associated factors of active trachoma among children in Ethiopia: a systematic review and meta-analysis. BMC Infectious Diseases 19: 1073.
  55. Nigusie A, Berhe R, Gedefaw M (2015) Prevalence and associated factors of active trachoma among childeren aged 1-9 years in rural communities of Gonji Kolella district, West Gojjam zone, Northwest Ethiopia. BMC Research Notes 8: 641.
  56. Ferede AT, Dadi AF, Tariku A, Adane AA (2017) Prevalence and determinants of active trachoma among preschool-aged children in Dembia District, Northwest Ethiopia. Infectious Diseases of Poverty 6: 128.
  57. In: Higgins JPT, Green S, Cochrane Collaboration (Eds.)., (2008) Cochrane handbook for systematic reviews of interventions. Chichester, England; Hoboken, NJ: Wiley-Blackwell.
  58. Population-based prevalence survey of follicular trachoma and trachomatous trichiasis in the Casamance region of         
  59. Schwab L, Whitfield R, Ross Degnan D, Steinkuller P, Swartwood J (1995) The epidemiology of trachoma in rural Kenya. Variation in prevalence with lifestyle and environment. Study Survey Group. Ophthalmology 102: 475-482.
  60. (2018) Organization WH. Design parameters for population-based trachoma prevalence surveys: strategic and technical advisory group for neglected tropical diseases, working group on monitoring and evaluation.
  61. SNV in Ethiopia develops a Trachoma Programming Strategy.
  62. Anthony W Solomon, Rosanna W Peeling, Allen Foster, David C W Mabey (2004) Diagnosis and assessment of trachoma. Clinical Microbiology Reviews 17: 982-1011.
  63. Gebrie A, Alebel A, Zegeye A, Tesfaye B, Wagnew F, et al. (2019) Prevalence and associated factors of active trachoma among children in Ethiopia: a systematic review and meta-analysis. BMC Infectious Diseases 19: 1073.
  64. WHO Integrating neglected tropical diseases in global health and development: 4th WHO report on neglected tropical diseases.