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Prevalence and associated factors of low vision and blindness among patients attending St. Paul’s Hospital Millennium Medical College, Addis Ababa, Ethiopia

BMC Ophthalmology volume 18, Article number: 232 (2018) Cite this article

Abstract

Background

Low vision and blindness are major public health problems. A vast burden of worlds visually impaired live in low-income settings especially in sub Saharan Africa. In such settings the blindness is associated with considerable disability and excess mortality, resulting in huge economic and social consequence. The main purpose of this study was to determine the prevalence and associated factors of low vision and blindness among patients at St. Paul’s hospital millenium medical college.

Methods

Institution based cross sectional design study was carried out from January to April, 2017 with sample size of 904. Systematic random sampling was used to recruit the study subjects. Retrospective medical chart review was done; data was entered into and analyzed by SPSS 23. Descriptive statistics such as frequency cross tabulation and chi-square test was carried out to translate data into information. P-value less than 0.05 was considered as statistically significant.

Results

A total of 881 subjects with a response rate of 97.4% selected. The mean age of the study subjects was 44.53(SD: ± 21.85) with a range of 1–100 years. The prevalence of low vision and blindness was 91 (10.3% (95% CI: 8.2, 12.3)), and 64 (7.3 95%CI: 5.7, 9.0)) respectively. Age (p-value < 0.001), cataract (p-value = 0.002), glaucoma (p-value = 0.002) and age related macular degeneration (p-value < 0.001) were significantly associated with low vision and blindness.

Conclusion

Low vision and blindness found in this study was high. Age, cataract, glaucoma and age related macular degeneration were significantly associated with low vision and blindness. This amount of magnitude will be reduced if prevention, early diagnosis and management will be targeted towards avoidable causes of visual impairment.

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Background

In the world, the number of visually impaired is estimated to be 285 million, of whom 39 million were blind. About 82% of peoples greater than 50 years and above were blind and this indicates that the burden of visual impairment and blindness is higher on the older age groups [1]. Visual impairment includes low vision and blindness. It was defined based on visual acuity and visual field [2].

A vast burden of worlds visually impaired live in low-income settings especially in sub Saharan Africa (SSA) [3]. Visual impairment can cause disabilities by significantly interfering with one’s ability to function independently. These disabilities limit personal or socioeconomic independence and a visual handicap exists [4]. The good news is that more than two third of this visual impairment and blindness can be avoidable either by prevention and treatment [5].

According to ‘vision 2020 the right to sight’ plan, in 2020 preventable and avoidable causes of visual impairment and blindness will be reduced significantly to less than 0.5% in all countries or less than 1% in any community worldwide [6,7,8,9].

Ethiopia is believed to have one of the world’s highest rates of blindness (1.6%) and low vision (3.7%), of which more than 80% is either treatable or preventable [2, 10,11,12]. Low vision and blindness are believed to be common among patients in St. Paul’s Hospital Millennium Medical College, though no survey was conducted in the setting. This survey was conducted with the main objective of assessing the prevalence and associated factors of low vision and blindness among patients in St. Paul’s Hospital Millennium medical College (SPHMMC), Addis Ababa; Ethiopia. Thus, this evidence will help us to establish low vision and blindness rehabilitation clinic in the hospital.

Methods

Study design, setting and sampling

An institution based- cross sectional design study was conducted from January to April 2017 at SPHMMC, Tertiary Eye Care and Training Center. The center is well known college with ophthalmic medical service and ophthalmology residency training in the capital city of the country, Addis Ababa. It has been serving more than 16,000 patients with more outpatients and in some cases inpatient services per year. There are sub specialty clinics like retina, glaucoma, pediatric, oculoplasty and optometry clinics within the center. All patients come to the center have been undergoing complete eye examination including diagnostics tests. Medical, optical, laser and surgical service is the routine treatment modalities for the patients at the center. There are also one extra public and two private tertiary eye care centers in the study area. The other 10 public and 15 private secondary and primary eye centers were more focused on treating adnexal eye diseases and major surgeries like cataract and Trabeculectomy, minor surgeries and refractive services.

There was no evidence within the same study setting in which we need to consider in estimating the minimum sample size. Therefore it was considered that 50% proportion of population with visual impairment, 3% error of margin, 95% confidence interval and 10% non- respond rates were used to calculate the sample. Hence a total of 904 sample size was retrieved using single population proportion formula. The study was conducted among persons of all age groups. Study subjects were recruited from registration logbook of the clinic taking every 10th patient, the first being the 7thmedical record number registered with omission of incomplete records.

Socio-demographic characteristics such as age, sex and address and clinical characteristics like Snellen visual acuity, IOP measured by non-contact air-puff tonometer, slit lamp biomicroscope and Fundus examination results including lists of all ophthalmic diagnosis written on the medical record were retrieved as their respective order. Visual acuity and IOP were measured by ophthalmic nurses while eye examinations were done by senior ophthalmologists. Visual acuity was measured by using retro-illuminated Snellen charts at 6 m and only distance one was considered; and for children less 4 years of age HOTV cards was used. The presenting visual acuity was taken in all cases and for children less than 4 years age appropriate visual acuity equivalent recorded for analysis. Data were recorded on a customized form, and the cause of visual impairment determined from patient cards with primary diagnosis was taken for all participants with a presenting VA of less than 6/18 for each eye separately.

Operational definition

The WHO categories of visual impairment were used to define vision status for study participants. Blindness was defined as a presenting VA of less than 3/60 in the better eye. Low vision was defined as presenting VA of at least 3/60 but less than 6/18 in the better eye. Monocular visual impairment, which is not a WHO definition, was derived to represent participants who had normal or near-normal vision in the better eye (VA of at least 6/18) and visual impairment in the other eye (VA from 6/18 up to 3/60 for low vision and less than 3/60 for blindness) [13].

Data quality assurance and ethical clearance

After the survey, the investigators reviewed the forms and determined the principal disorder responsible for blindness or low vision for the participant, taking into account the main cause for each individual eye. In the instance when different causes had been identified for each eye separately in a given individual, the principal disorder was chosen to be the one that was most readily curable or, if not curable, most easily preventable. The study was conducted in accordance with declaration of Helsinki and approved by institutional review board of SPHMMC according to Ethiopian national research ethics review guideline. The privacy and confidentially of all subject was secured. The department’s usual data quality control is just keeping patients’ clinical profile on log book at each clinic. The data for this study was retrieved from those log-books. Institutional review board of SPHMMC stated that obtaining informed consent for participation is not applicable the study based on the secondary data.

Statistical analysis

The collected data was entered twice, carefully cleaned and analyzed using SPSS version 23 (www.ibm.com/products/spss-statistics). Descriptive statistics such as frequency distribution and central tendency measures were used to summarize the descriptive part of the study. Pearson X2 was used to determine the factors associated with low vision and blindness [14]. P-value less than 0.05 were considered as statistically significant.

Results

A total of 881 study subjects with a response rate of 97.4% were recruited in the study. The study subjects have a mean age of 44.53(SD: ± 21.85), median of 48 with a range of 1–100 years. Among those subjects a quarter 225(25.5%) of them were in the age group of 1–26 years and about half 432(49.0%) of them were male in sex. More than three fourth 684(77.6%) of total subjects address were in urban Table 1.

Table 1 Socio-demographic characteristics of study subjects among patients attending St. Paul’s Hospital Millennium Medical College, 2017 (n = 881)
Full size table

Among a total study subjects, greater than four fifth 726 (82.4%) of patients have visual acuity in the range of 6/6–6/18 and more than three fourth 470 (77.9%) of patients have intraocular pressure within the range of 9–21 mmHg Table 2.

Table 2 Clinical Characteristics of study subjects among patients attending St. Paul’s Hospital Millennium Medical College, 2017
Full size table

Of all study subjects about one fifth of them were presented with cataract 181 (20.5%) followed by glaucoma 158 (17.9%) and refractive error 118 (13.4%) Table 3.

Table 3 Disease pattern of study subjects among patients attending St. Paul’s Hospital Millennium Medical College, 2017 (n = 881)
Full size table

A total of 155 (17.6% (95% CI: 15.2, 20.1)) subjects were visually impaired depending on the presenting visual acuity. Among the study subjects, 91 (10.3% (95% CI: 8.2, 12.3)) had low vision and 64 (7.3 95%CI: 5.7, 9.0)) blindness. One hundred sixteen (13.2% (95% CI 10.9, 15.6)) and 170(19.3% (95% CI 17.0, 22.1)) had monocular low vision and blindness respectively.

Low vision and blindness were 42(20.2%) and 34(16.3%) in age group between 63 and 100 years old respectively. Among the subjects presented with refractive error, 14 (11.9%) and 3(2.5%) had low vision and blindness whereas 1(1.4%) and 8(11.1%) traumatic patients had low vision and blindness respectively. The factors such as age (p-value < 0.001), cataract (p-value = 0.002), glaucoma (p-value = 0.002) and age related macular degeneration (p-value < 0.001) were significantly associated with low vision and blindness Table 4.

Table 4 The factors associated with low vision and blindness among patients attending St. Paul’s Hospital Millennium Medical College, 2017 (n = 881)
Full size table

Discussion

Visual impairment, which includes low vision and blindness, remain a public health problem that has impact on socioeconomic values and quality of life of the community. This study was targeted to determine the magnitude and factors of visual impairment under the category of low vision and blindness so that stakeholders will have evidence to plan and implement prevention and management strategies in the hospital and surrounding communities.

In the present study the prevalence of visual impairment was 155 (17.6% (95% CI: 15.2, 20.1)). This finding is higher than other studies conducted within the communities [12, 15, 16]. This indicated that hospital burden of visual impairment is the reflective of community problems. It might also revealed that the patients comes to hospital is usually after their visual function is severely affected which is the common problems of low income population. It is lower than study conducted in South Africa (28.0%) and Ghana (28.2%) [17, 18]. The discrepancy observed here might be due to sampling technique in which they used non-probability sampling. The population difference and eye care service difference at the two centers might also contribute for the different proportion of visual impairment.

Among the study subjects, 91 (10.3% (95% CI: 8.2, 12.3)) had low vision and 64 (7.3 95%CI: 5.7, 9.0)) blindness. This finding indicated that the low vision and blindness is a major public health problem. In comparison to national survey result of low vision (3.7%) and blindness (1.6%) conducted 2005 in Ethiopia this finding is higher as it is hospital based unlike national survey [10]. Though 3 years left to the Vision to 2020 and ‘the right to sight’ goal, in this study area the burden of the low vision and blindness still high and need strengthening the prevention of avoidable causes of low vision and blindness. This result is consistent with similar study conducted in Gondar Ethiopia (15.3%) [19].

The prevalence of blindness in the study is lower than studies conducted in South Africa (10.9%) and Kenya (39.4%), higher than studies conducted in Cameroon (1.71%) but in line with study reported form Mali (5.8%) and Jordan (13.7%) [17, 20,21,22,23]. The low vision is consistent with study report from Nigeria (9.2%) and Cambodia (12%) [24, 25], but lower than South African study (16.3%) [17]. This reflects that there are a lot of factors that can contribute for geographical variations of low vision and blindness such as socio-economic difference, climatic change, gene and ethnical difference, health care service system, number of eye care givers and supportive organizations and not all of those could be investigated in the present study.

The amount of monocular low vision and blindness in this study was (13.2% (95% CI 10.9, 15.6)) and 170(19.3% (95% CI 17.0, 22.1)) respectively. As the worst visual acuity was considered to define monocular low vision and blindness, it is expected to be higher than bilateral one. This result is higher than study done in Thailand, which reported 3.0% low vision and 4.4% blindness [26]. The discrepancy observed here might be due to different socioeconomic values and eye care seeking behaviors.

The factors associated with low vision and blindness in the current study were age (<p < 0.001), cataract (p = 0.002), glaucoma (p = 0.002) and age related macular degeneration (p < 0.001). Age was reported from different clinical and community based studies as the main risk factors for visual impairment, low vision and blindness [27, 28]. However gender was not associated with low vision or blindness like study conducted in Australia [29]. The eye conditions such as cataract, glaucoma, and age related macular degeneration were also reported as the main etiology or causes of low vision and blindness [30]. Factors such as level of education, inability to afford service cost, fear of the outcome of the surgery especially for cataract and glaucoma and cultural beliefs are some of the reason why people remain low in vision and blindness. Those diseases are among either preventable or avoidable disease if they are diagnosed and treated early.

In addition to that uncorrected refractive error, ocular trauma and Pseudophakia were also among the major causes of low vision and blindness. These finding were also reported by different studies in Ethiopia from national survey and Gurage zone [11].

There was some limitation with this study. Most importantly different associated factors were not well explored, as it was hospital based and used secondary data from patients’ medical record.

Conclusion

Low vision and blindness found in this study was high. Age, cataract, glaucoma and age related macular degeneration were significantly associated with low vision and blindness. This amount of magnitude will be reduced if prevention, early diagnosis and management will be targeted towards avoidable causes of visual impairment.

Abbreviations

SPHMMC:

St. Paul’s Hospital Millennium Medical College

VA:

Visual acuity

WHO:

World Health Organization

References

  1. 1.

    Pascolini D, Mariotti SPM. Global estimates of visual impairment. British J Ophthalmol. Online first published December 1, 2011 as. 2010; https://doi.org/10.1136/bjophthalmol-2011-300539.

  2. 2.

    Dandona L, Dandona R. Revision of visual impairment definitions in the international statistical classification of diseases. BMC Med. 2006;4:7. https://doi.org/10.1186/1741-7015-4-7.

    Article  PubMed  PubMed Central  Google Scholar 

  3. 3.

    Thylefors B. A simplified methodology for the assessment of blindness and its main causes. World Health Stat Q. 1987;40:129–41.

    PubMed  CAS  Google Scholar 

  4. 4.

    Frick KD, Foster A. The magnitude and cost of global blindness: an increasing problem that can be alleviated. Am J Ophthalmol. 2003;135:471–6.

    Article  PubMed  Google Scholar 

  5. 5.

    World Health Organization VISION. The right to sight—the global initiative for the elimination of avoidable blindness. Magnitude and causes of visual impairment. Fact Sheet 282.Geneva: World Health Organization; 2020. Available: http://www.who.int/mediacentre/factsheets/fs282/en/index.html. Accessed 20 Oct 2005.

  6. 6.

    Thylefors B. A global initiative for the elimination of avoidable blindness. Am J Ophthalmol. 1998;125:90–3.

    Article  PubMed  CAS  Google Scholar 

  7. 7.

    World Health Organization: Global initiative for the elimination of Avoidable blindness. WHO 2000 document WHO/PBL/97.61 Rev.2. Geneva: World Health Organization. Available: http://whqlibdoc.who.int/hq/2000/WHO_PBL_97.61_Rev.2.pdf. Accessed 20 Oct 2017.

  8. 8.

    World Health Organization. Strategies for the prevention of Blindness in national programmes—a primary health care approach. Geneva: World Health Organization 1997. Available: http://whqlibdoc.who.int/Publications/9241544929.pdf. Accessed 20 Oct 2005.

  9. 9.

    World Health Organization. Prevention of blindness and visual Impairment. 2005. Available: http://www.who.int/blindness/en/. Accessed 20 Oct 2017.

  10. 10.

    Berhane Y, Worku A, Bejiga A, Adamu L, Alemayehu W, Bedir A, et al. Prevalence and causes of low vision and blindness in Ethiopia 2005. Ethiop J Health Dev. 2007;21(3)

  11. 11.

    Melese M, Alemayehu W, Bayu S, Girma T, Hailesellasie TP, et al. Low vision and blindness in adults in Gurage zone, Central Ethiopia. Br J Ophthalmol. 2003;87(6):677–80.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  12. 12.

    Zerihun N, Mabey D. Blindness and low vision in Jimma zone, Ethiopia: results of population based survey. Ophthalmic Epidemiol. 1997;4:19–26.

    Article  PubMed  CAS  Google Scholar 

  13. 13.

    World Health Organization. List of Official ICD-10 Updates Ratified October 2006. Geneva: WHO; 2006. Available from: http://www.who.int/classifications/icd/2006Updates.pdf. [Last cited on 2018 Apr 09].

  14. 14.

    Miller R, Siegmund D. Maximally selected chi-square statistics. Biometrics. 1982;38:11016. https://doi.org/10.2307/2529881.

    Article  Google Scholar 

  15. 15.

    Scheimenn JF, Inocencio F, De Lourdes Monteiro M, Andrade J, Auzemery A, Guelfi Y. Blindness and low vision in Cape Verde Islands: results of national eye survey. Ophthalmic Epidemiol. 2006;13(4):219–26.

    Article  Google Scholar 

  16. 16.

    Saw SM, Husain R, Gazzard GM, Koh D, Widjaja D, Tan DT. Causes of low vision and blindness in rural Indonesia. Br J Ophthalmol. 2003;87(9):1075–8.

    Article  PubMed  PubMed Central  Google Scholar 

  17. 17.

    Maake MM, Oduntan OA. Prevalence and causes of visual impairment in patients seen at Nkhensani hospital eye clinic, South Africa. Afr J Prm Health Care Fam Med. 2015;7(1) https://doi.org/10.4102/phcfm.v7i1.728.

  18. 18.

    Ansah DO. Prevalence and causes of visual impairment among patients in Juaben hospital eye clinic, Ghana. M J Opht. 2017;2(2):017.

    Google Scholar 

  19. 19.

    Woretaw H, Shiferaw D. Prevalence and associated factors of visual impairment and blindness among at University of Gondar teaching hospital, Gondar, Northwest Ethiopia. Int J Pharm H Care Res. 2015;03(02):48–54.

    Google Scholar 

  20. 20.

    Harrel J, Larson ND, Menza E, Mboti A. A clinic-based survey of blindness in Kenya. Community Eye Health J. 2001;14(40):68–9.

    Google Scholar 

  21. 21.

    Eballe OA, Mvongo CE, Koki G, Moune N, Teutu C, Ellong A, et al. Prevalence and causes of blindness at a tertiary hospital in Doula, Cameroon. Clin Ophthalmol. 2011;5:1325–31.

    Article  PubMed  PubMed Central  Google Scholar 

  22. 22.

    Eballé AO, Boitte JP, Traoré J. Ocular disorders causing blindness in working-age outpatients: a prospective study at the African Institute of Tropical Ophthalmology (IOTA, Bamako, Mali). Santé. 2005;15(4):241–5.

    Google Scholar 

  23. 23.

    Al-Bdour MD, All-Till ML, Abu-Khadir IB. Causes of blindness among adult Jordanians: a hospital based study. Eur J Ophthalmol. 2002;12(1):5–10.

    Article  PubMed  CAS  Google Scholar 

  24. 24.

    Malu KN. Blindness and visual impairment in north Central Nigeria: a hospital based study. Niger Postgrad Med J. 2013;20(2):98–103.

    PubMed  CAS  Google Scholar 

  25. 25.

    Thomson I. A clinic based survey of blindness and eye disease in Cambodia. Br J Ophthalmol. 1997;81:578–80.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  26. 26.

    Pathanapitoon K, Ausayakhun S, Kunavisaruth P, Wattananikorn S, Ausayakhun S, Leeungurastien T, et al. Blindness and low vision in teritiary ophthalmologic center in Thailand. The importance of cytomegalovirus retinitis. Retina. 2007;27:635–40.

    Article  PubMed  Google Scholar 

  27. 27.

    Sijuwola OO, Fasina O. Etiology of visual impairment among ophthalmic patients at federal medical center, Abeokuta, Nigeria. J west Afr Coll Surg. 2012;2(4):38–50.

    PubMed  PubMed Central  Google Scholar 

  28. 28.

    Wang W, Chen N, Sheu M, Wang J, Hsu W, Hu Y. The prevalence and risk factors of visual impairment among the elderly in Eastern Taiwan. Kaohsiung J Med Sci. 2016;32:475–81.

    Article  PubMed  CAS  Google Scholar 

  29. 29.

    Ramke J, Palagyi A, Naduvilath T, Du Toit R, Brian G. Prevalence and causes of visual blindness and low vision in Timor-Leste. Br J Ophthalmol. 2007;91(9):1117–21.

    Article  PubMed  PubMed Central  Google Scholar 

  30. 30.

    Herse P, Gothwal VK. Survey of visual impairment in an Indian tertiary eye hospital. Indian J Ophthalmol. 1997;45(3):189–93.

    PubMed  CAS  Google Scholar 

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Acknowledgments

We would like to thank SPHMMC for financial support.

Funding

The study was funded by SPHMMC and funding was for data collection, processing and write up.

Availability of data and materials

The datasets used and/or analysed during the current study available from the corresponding author on reasonable request.

Author information

Affiliations

  1. Department of Ophthalmology, St. Paul’s Hospital Millennium Medical College, Addis Ababa, Ethiopia
    • Fashe Markos Cherinet
    • , Sophia Yoseph Tekalign
    • , Dereje Hayilu Anbesse
    •  & Zewdu Yenegeta Bizuneh
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Contributions

SYT designed the study proposal and manage data collection, analysis and secured budget and ethical consideration. FMC developed proposal with SYT and ZYB, analyzed data with DHA and develop manuscript. DHA analyzed the data and developed manuscript with FMC. ZYB participated in proposal writing, review literatures and data collection. All authors have read and approved the final version of the manuscript.

Corresponding author

Correspondence to Fashe Markos Cherinet.

Ethics declarations

Ethics approval and consent to participate

The study was approved by institutional review board of SPHMMC ethical review board in accordance with Ethiopian national research ethics review guideline. They also approved that no needs of formal consent either verbally or written as the study was based on secondary data.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Cherinet, F.M., Tekalign, S.Y., Anbesse, D.H. et al. Prevalence and associated factors of low vision and blindness among patients attending St. Paul’s Hospital Millennium Medical College, Addis Ababa, Ethiopia. BMC Ophthalmol 18, 232 (2018). https://doi.org/10.1186/s12886-018-0899-7

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Keywords

  • Low vision and blindness
  • St. Paul’s hospital millennium medical college
  • Ethiopia

BMC Ophthalmology

ISSN: 1471-2415

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