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      Barriers to Cataract Surgery in Africa: A Systematic Review

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          Abstract

          Cataract remains the leading cause of blindness in Africa. We performed a systematic literature search of articles reporting barriers to cataract surgery in Africa. PubMed and Google Scholar databases were searched with the terms “barriers, cataract, Africa, cataract surgery, cataract surgical coverage (CSC), and rapid assessment of avoidable blindness (RAAB).” The review covered from 1999 to 2014. In RAAB studies, barriers related to awareness and access were more commonly reported than acceptance. Other type of studies reported cost as the most common barrier. Some qualitative studies tended to report community and family dynamics as barriers to cataract surgery. CSC was lower in females in 88.2% of the studies. The variability in outcomes of studies of barriers to cataract surgery could be due to context and the type of data collection. It is likely that qualitative data will provide a deeper understanding of the complex social, family, community, financial and gender issues relating to barriers to uptake of cataract surgery in Africa.

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          Most cited references 37

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          Rapid assessment of avoidable blindness in Nakuru district, Kenya.

          To estimate the prevalence of avoidable blindness in > or =50-year-olds in Nakuru district, Kenya, and to evaluate the Rapid Assessment for Avoidable Blindness (RAAB), a new methodology to measure the magnitude and causes of blindness. Cross-sectional population-based survey. Seventy-six clusters of 50 people 50 years or older were selected by probability proportionate to size sampling of clusters. Households within clusters were selected through compact segment sampling. Three thousand seven hundred eighty-four eligible subjects were selected, of whom 3503 (92.6%) were examined. Participants underwent a comprehensive ophthalmic examination in their homes by an ophthalmologist, including measurement of visual acuity (VA) with a tumbling-E chart and the diagnosis of the principal cause of visual impairment. Those who had undergone cataract surgery were questioned about the details of the operation and their satisfaction with surgery. Those who were visually impaired from cataract were asked why they had not gone for surgery. Visual acuity and principal cause of VA or =6/60) was 5.8% (95% CI, 4.8%-6.8%) in the sample. Definite avoidable causes of blindness (i.e., cataract, refractive error, trachoma, and corneal scarring) were responsible for 69.6% of bilateral blindness and 74.9% of bilateral visual impairment. Cataract was the major cause of blindness (42.0%) and visual impairment (36.0%). The cataract surgical coverage was high, with 78% of those with bilateral cataract who needed surgery having had surgery at VA or =50-year-olds in Nakuru district was low, in part due to the high cataract surgical coverage. The RAAB is easy to use and inexpensive and provides information about the magnitude and causes of avoidable blindness that can be used for planning and monitoring eye care services.
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            Rapid Assessment of Avoidable Blindness in Western Rwanda: Blindness in a Postconflict Setting

            Introduction In 2004 the World Health Organization published the results of a major initiative to collate the available data on the prevalence of blindness [1]. On the basis of data from surveys in 55 countries, the authors estimated that there were approximately 37 million blind people in the world. Recent surveys, however, have reported a lower than expected prevalence of blindness [2–4], which may reflect a real decline in blindness or may result from improvements in survey quality. In contrast, a recent survey carried out in a postconflict area in Southern Sudan reported a prevalence of blindness of 4.1%, more than four times as high as expected for Africa as a whole [5]. There were methodological problems with this survey [6], but there are few other surveys available for postconflict areas to allow comparison. These data on the burden of blindness are needed to allow adequate planning and monitoring of eye care services. This is particularly true for low-income countries, where accurate data are needed to inform allocation of scarce resources. The Republic of Rwanda is an extremely poor country in Eastern Central Africa with a population of 8.6 million. In 1994 a devastating war in Rwanda, following years of tension between the majority Hutus and minority Tutsis, resulted in the killing of nearly a million people and the exodus of more than two million. Although the war ended later the same year and many people have returned, today Rwanda is still suffering the aftermath of the genocide and mass population migrations. Despite its turbulent history, Rwanda is demographically similar to other African countries, with a large proportion (42%) of its population under the age of 15 years and a high rate of natural increase (2.5% per year). The Western Province of Rwanda has a population of around 2 million people and makes up one-quarter of the population of Rwanda. It was particularly badly affected by the war as a large proportion of its population was killed, and it still suffers from unrest. No survey of blindness has been conducted in Rwanda to date. Results from the 2002 national census suggest that 13,100 of the total population of 8.1 million were blind, giving a prevalence of blindness of 0.16% [7]. This is likely to be an underestimate, as the census enumerators may have defined blindness as the complete inability to see, rather than the standard definition of VA less than 3/60 in the better eye. Meanwhile, the WHO data suggest that 1% of all people in Rwanda are blind, corresponding to 86,000 people, and that 9% of people aged over 50 years are blind [1]. The availability of ophthalmic services is extremely limited in Rwanda. There are only ten ophthalmologists in Rwanda, five of whom are based in the capital Kigali. In 2005, 2,600 cataract surgeries were undertaken in Rwanda, to give a cataract surgical rate (i.e., operations per million population per year) of only 300, far lower than the target for Africa of approximately 2,000 [8]. Ophthalmic services are particularly scarce in the Western Province, where there is no ophthalmologist or full-time eye clinic and many people go to neighbouring Democratic Republic of the Congo (another war-torn area) to seek care. Eye care services are currently being planned for the Western Province, so prevalence estimates of the burden of disease are needed urgently. The aim of this study was to conduct a Rapid Assessment of Avoidable Blindness (RAAB) [2,3], in people aged 50 years or above in the Western Province of Rwanda, to allow planning of eye care services for this population. Methods Sample Size Calculation No population-based surveys of blindness have been conducted in Rwanda. WHO estimates that the expected prevalence of blindness in countries in Africa is 9% in people aged ≥ 50 y [1]. Conservatively estimating the prevalence of blindness in people aged ≥ 50 y to be 7%, with the worst acceptable result of 5.6% (i.e., precision of 20%), 95% confidence, design effect (DEFF) of 1.6, and a non-response rate of 10%, a sample size of 2,229 was required, which would require 45 clusters of 50 people aged ≥ 50 y. Sampling Frame The clusters were selected through probability proportionate to size sampling, using updated data from the 2002 national census as the sampling frame [7]. A list was produced of the enumeration areas (or secteurs, usually corresponding to a defined settlement in the rural areas or urban suburb) and their respective population sizes of people aged ≥ 50 y, based on the population distribution from the census. A column was created with the cumulative population across the enumeration areas. The total population age ≥ 50 y was divided by the number of clusters required to derive the sampling interval. The first cluster was selected by multiplying the sampling interval with a random number between 0 and 1, the resulting number was traced in the cumulative population column, and the first cluster was taken from the corresponding enumeration area. The following clusters were identified by adding the sampling interval to the previous number. The second stage, of selecting households within clusters, was undertaken through compact segment sampling [9]. Each cluster area (the enumeration area) was divided into segments called cells for administrative purposes. Each cell included approximately 500–700 people, of whom around 50 people were expected to be aged ≥ 50 y. The cells had well-defined boundaries, and the names of all inhabitants were known by the village head. One cell in the cluster area was chosen at random by drawing lots. Starting at the edge of the segment, all households in the cell were included in the sample sequentially, until 50 people aged ≥ 50 y were identified. Eligible participants were those aged ≥ 50 y who lived in the household for at least three months of the year. If the segment did not include 50 people aged ≥ 50 y, then another segment was chosen at random and sampling continued until the required cluster size of 50 was achieved. The survey was carried out during four weeks from 29 May until 24 June 2006. In each cluster, the survey team visited households door-to-door, accompanied by a local village guide. The team conducted the visual examinations in the household. If an eligible person was absent, the survey team returned twice to the household on the same day to examine the individual before leaving the area. If after repeated visits the individual could not be examined, information about the visual status was collected from relatives or neighbours. Ophthalmic Examination A standardised protocol was used for the RAAB [2,3]. A survey record was completed for each eligible person that included seven sections: general demographic information; vision and pinhole examination; lens examination; principal cause of visual impairment; history of visual impairment; why cataract operation had not been done; and details about any cataract operation. VA was measured by a nurse with ophthalmic experience, with a Snellen tumbling “E” chart using optotype size 6/18 (20/60) on one side and size 6/60 (20/200) on the other side at a distance of 6 or 3 m. All measurements were taken in full daylight with available spectacle correction. If the VA was less than 6/18 in either eye, then pinhole vision was also measured. Categories of visual impairment were defined as follows. Blindness, VA < 3/60 in the better eye with available correction; severe visual impairment, VA ≥ 3/60 but < 6/60 in the better eye with available correction; and visual impairment, VA ≥ 6/60 but < 6/18 in the better eye with available correction. All participants were examined by an ophthalmologist. The lens status was assessed by torch and by distant direct ophthalmoscopy in a shaded or dark environment without dilatation of the pupil. Lens status was graded as: “normal lens”, “obvious lens opacity present”, “lens absent (aphakia)”, or “IOL implantation”. If the lens could not be examined (e.g. corneal scarring present) then “no view of lens” was noted. The ophthalmologist examined all eyes of individuals with a presenting VA < 6/18 with a flashlight and a direct ophthalmoscope. The examination was made with pupil dilation if the cause of visual impairment was not refractive error, cataract, aphakia, or corneal scar. Since detailed ophthalmic examinations, including measurement of visual fields and intraocular pressure, were not possible in this door-to-door survey, diabetic retinopathy, glaucoma, age-related macular disease, and other types of posterior segment disease were categorised together as “posterior segment disease.” The principal cause of blindness or visual impairment was recorded, according to the WHO convention where the major cause is assigned to the primary disorder or, if there are two or more existing primary disorders contributing equally to the visual impairment, to the one that is easiest to treat [10]. People who had undergone cataract surgery were asked about the date and place of operation and their level of satisfaction with the surgery. Training There were three teams, each consisting of one ophthalmologist and one nurse from an eye unit. The teams received one week of training by an experienced trainer. Interobserver agreement was measured through repeat examination of 40 patients by each of the three teams. Measurement of VA, examination of lenses, and assignment of cause of blindness were compared between the teams to ensure that their standards were acceptable (i.e., kappa ≥ 0.60). Statistical Analysis A software programme developed for this survey (RAAB test version 4.00 developed in Visual FoxPro v. 7.0) was used for data entry and automatic standardised data analysis. The prevalence estimates took account of the DEFF when estimating the confidence intervals. Estimates of the number of cases with blindness, severe visual impairment, and visual impairment were obtained by extrapolating the age- and sex-specific prevalence estimates to the age and sex structure of the population of the Western Province. The cataract surgical coverage (CSC) of people is the proportion of people needing surgery that had undergone cataract surgery. This is calculated as the number of people who have had cataract surgery divided by the number of people who need cataract surgery. It is calculated by dividing the number of people with bilateral pseudophakia/aphakia plus those with unilateral pseudophakia/aphakia and visual impairment in other eye, by those who have undergone surgery (i.e., the same number above) plus the number of people with bilateral visual impairment from cataract. CSC was also calculated for eyes. Since the VA prior to surgery was not known, we assumed, in turn, that only patients with VA below a certain threshold (<3/60, <6/60, and <6/18, respectively), received surgery for their cataract. Ethical Approval Ethical approval for this work was granted by the Ministry of Health, administrative heads of the Western Province, and The National Statistics Council. Informed verbal consent was obtained from the patients after explanation of the nature and possible consequences of the study. All people with operable cataract or other treatable conditions were referred for treatment. Results The teams enumerated 2,250 people aged ≥ 50 y in the survey, of whom 2,206 (98.0%) underwent ophthalmic examination, 43 (1.9%) were not available, and one (0.04%) refused to be examined. The examined population was representative of the population of the province in terms of age and gender distribution (Table 1). Table 1 Age and Gender Composition of Population in Sample and in Survey Area The unadjusted prevalence of blindness in the examined population aged ≥ 50 y was 1.8% (95% confidence interval [CI] 1.2%–2.4%; DEFF = 1.1), which was similar in men and women (Table 2). The prevalence of severe visual impairment was also low (1.3%, 95% CI 0.8%–1.7%; DEFF = 0.9), as was the prevalence of visual impairment (5.3%, 95% CI 4.2%–6.4%; DEFF = 1.4). Only 22 people had aphakia or pseudophakia in one or both eyes. Table 2 Distribution by Visual Acuity with Available Correction in the Better Eye in Adults Aged 50 Years and Older The majority of cases of blindness (65.0%), severe visual impairment (60.7%), and visual impairment (54.7%) were attributable to cataracts (Table 3). Posterior segment disease was an important cause of blindness (20.0%) and severe visual impairment (32.1%), while refractive error caused almost one-third of cases of visual impairment (29.9%). Overall, the vast majority of cases of blindness (80.0%), severe visual impairment (67.9%), and visual impairment (87.2%) were avoidable (i.e., due to cataract and its complications, refractive error, trachoma, or corneal scar). Table 3 Cause of Blindness, Severe Visual Impairment, and Visual Impairment in People with Available Correction The cataract surgical coverage was moderate. Approximately four out of every ten people requiring cataract surgery at VA < 6/60 had been operated on, but this proportion fell to one in five people at the VA < 6/18 level (Table 4). The CSC was consistently higher for men than for women at all threshold levels of VA. Lack of awareness of the availability of treatment was the most important barrier to surgery among those who had not undergone surgery (52%), followed by a perceived lack of services (16%), inability to afford the surgery (16%), and lack of a companion (8%). Table 4 Cataract Surgical Coverage by Person and Eyes in People Aged 50 Years and Older (Best Correction) Outcome after surgery was poor. Of the 29 eyes that had been operated for cataract, 41% had a poor outcome (VA < 6/60), 35% had a moderate outcome (6/60 ≥ VA < 6/18), and only 24% had a good outcome (VA ≥ 6/18) with available correction (Table 5). The eyes that had received an intraocular lens (IOL) had a better outcome than the eyes that had not. The cause of poor outcomes could be attributable to the surgery in six out of the 12 eyes with a poor outcome, concomitant disease (selection) for three eyes, and sequelae (i.e., posterior capsule opacification) for three eyes. Lack of spectacles was responsible for seven out of the ten eyes with a borderline outcome. Despite the relatively poor outcome, satisfaction with surgery was high: 41% of people were very satisfied with surgery and 28% were partially satisfied, while few people were indifferent (7%), partially dissatisfied (17%), or very dissatisfied (7%). Table 5 Postoperative Visual Acuity in Eyes Following Cataract Surgery, by IOL Status Population Estimates Extrapolating these estimates to the Western Province population, among the people aged ≥ 50 y there are an estimated 2,565 blind people (95% CI 1,601–3,530) to give an age- and sex-adjusted prevalence of blindness of 1.6% (95% CI 1.0%–2.2%), 1,824 (95% CI 1,095–2,566) severely visually impaired people (1.1%, 95% CI 0.7%–1.6%), and 8,055 (95% CI 6,243–9,870) visually impaired people (4.9%, 95% CI 3.8%–6.0%) (Table 6). There are approximately 1,286 (95% CI 686–1,896) people blind from cataract, 539 (95% CI 245–833) severely visually impaired from cataract, and 4,009 (2,942–5,066) visually impaired from cataract. Using the VISION 2020 target of operating on 20% of the prevalence of cataract per year, and assuming that all people with VA < 6/60 due to cataract require surgery in one eye, then the desired number of cataract surgeries for the Western Province would be at least 365 per year, to give a required cataract surgical rate of minimum 183 or 365 if both eyes were operated. Table 6 Distribution by Visual Acuity with Available Correction in the Better Eye in Adults Aged 50 Years and Older On the basis of WHO estimates, we expect that 0.124% of people below the age of 15 y in the Western Province are blind and 0.2% of people aged 15–49 y [1], and the survey results estimate that 1.6% of people aged ≥ 50 y are blind. Assuming that in the Western Province there are approximately 833,000 people aged < 15 y, 984,000 aged 15–49 y, and 163,000 aged ≥ 50 y [7], then across all ages approximately 5,570 are expected to be blind. This gives an overall prevalence of blindness of 0.3% for the population. Alternatively, assuming that 87% of blind people are aged 50 years and older [1], then we would expect there to be 383 people who are blind below the age of 50 years, to give an overall prevalence of blindness of 0.2% for the population. Discussion This survey of blindness in the Western Province of Rwanda found a far lower prevalence of blindness than expected based on current estimates for Africa [1]. This may indicate that blindness is a less pressing public health concern for Rwanda than had previously been assumed. Despite the low prevalence, most of the cases of blindness and visual impairment were avoidable, suggesting that the prevalence can be reduced still further. The relatively low prevalence of cataract blindness may be partly attributable to the moderate cataract surgical coverage. The poor outcome after cataract surgery is of concern. Implementing a monitoring system for cataract surgical results could sensitise surgeons to quality control and help improve outcomes after surgery [11–14]. The provision of spectacles after surgery, improved follow-up after surgery and better selection of patients for surgery will also improve outcomes. The proportion of blindness and visual impairment due to posterior segment disease (including glaucoma and diabetic retinopathy) may grow as avoidable causes are brought under control, and with the continued global epidemic of diabetes, providing an important challenge in the future. The results for the Western Province may be generalisable to most areas in Rwanda (excluding Kigali and the central area) which are characterised by high levels of poverty and poor access to ophthalmic services. No surveys of blindness had been undertaken in Rwanda before now, but the estimated prevalence from this RAAB was similar to the prevalence of blindness estimated in the national census [7]. The only other RAAB carried out in Africa to date, in Nakuru District, Kenya, also found a lower than expected prevalence of blindness, as only 2.0% of the people aged ≥ 50 y were blind [2]. The causes of blindness were similar, with cataract responsible for the majority of cases followed by posterior segment disease. The only Rapid Assessment of Cataract Surgical Services (RACSS), the precursor to RAAB, in Africa was conducted in a rural area of Cameroon [4]. This survey of people aged ≥ 40 y estimated the prevalence of blindness as only 1.6%—again, the majority of which was caused by cataract. Other surveys conducted in Africa, using a variety of sampling and examination protocols, usually estimated a higher prevalence of blindness, although most found that the main cause is cataract (summarised in a review by Pascolini et al. [15]). Few surveys have been conducted in postconflict areas in Africa. A recent survey from southern Sudan estimated that the prevalence of blindness in the total population was 4.1% [5], although there are some concerns about the methods used in this survey [6]. Another survey conducted in 1998 in a rural area of the Democratic Republic of Congo estimated that only 0.5% of surveyed people over 10 y of age were blind in both eyes [16], is relatively similar to the estimates of blindness obtained for Western Province of Rwanda. The question remains why the estimated prevalence of blindness was so low in the Western Province of Rwanda. Given that prevalence is a function of incidence and duration of disease, this low prevalence implies that either the incidence of blindness is low or else the duration of blindness is short. The incidence of blindness may be relatively low, since the proportion of the population that is elderly, and therefore at high risk of becoming blind, is small. In Rwanda only 8% of the population is aged ≥ 50 y, compared to 15% in India and 22% in China, and few people were in the oldest age groups. Another reason for the low incidence may be that infectious causes of blindness, which make an important contribution to visual impairment in much of Africa, were virtually absent in this population. There were no cases of blindness from onchocerciasis and only one from trachoma in the sample. It may also be possible that people in Rwanda are less susceptible to developing cataract than people in other regions of the world, although the possible reasons for this are not clear. The duration of blindness may be short, as either people are cured of their blindness or else they have short life expectancy. The CSC, which is a marker of the availability of eye care services, is moderate, suggesting that access to cataract surgical services may contribute to the low prevalence. Mortality rates may have been higher for people who are blind than those in the general population [17], although this is unlikely to be sufficiently marked for people with visual impairment to explain the low prevalence. Western Rwanda was devastated by the genocide in 1994. It is possible that people who were visually impaired or blind were more likely to succumb during the genocide, which could explain part of the low prevalence a decade later, although this explanation is highly speculative. Another possibility is that previous surveys in Africa overestimated the prevalence of blindness, perhaps because they used the random walk method for selecting individuals within the cluster [18], which may have led to an overestimation of the prevalence of blindness if blind people were preferentially included. In contrast, we used compact segment sampling for this RAAB survey [9], which improves objectivity in household selection [19] and avoids other biases inherent in the random walk methodology [20]. Further RAAB surveys are required in Africa, to observe whether the low prevalence of blindness is a consistent finding, and to model the relationship between the prevalence of blindness with age structure and CSC. The study had many strengths that lend confidence to the estimates obtained. The sampling of the population for the survey was facilitated by a relatively recent census [7]. The Rwandese population is divided into cells for administrative purposes, which approximately corresponded to our desired cluster size. This meant that the sampling was relatively objective, as the village guides were able to inform the team exactly who was eligible within the chosen cluster. There is unlikely to have been serious selection bias, as the response rate was high and the sample was representative of the Western Province population. Information bias in this RAAB was also unlikely, as the ophthalmic examinations were undertaken by experienced ophthalmologists, with acceptable interobserver reliability. There were also some limitations to the study. The RAAB methodology focuses on the prevalence and causes of visual impairment in people aged ≥ 50 y and so does not produce estimates for childhood blindness or blindness in adults aged less than 50 y. Although only 8% of the population of Rwanda is aged ≥ 50 y, approximately 87% of the cases of blindness in Rwanda are expected to be among people in this age group, and analyses from The Gambia indicate that the causes of blindness and visual impairment in people aged ≥ 50 y gives an accurate estimate of the causes in the total population [21]. Estimation of the magnitude of blindness in the overall population relied on the use of WHO estimates for the prevalence of blindness among those aged < 50 y or else on the assumption of the proportion of blindness in the population aged ≥ 50 y, so the extrapolated results may have been imprecise. Sampling individuals through compact segment sampling is likely to be less subjective than through the random-walk method. However, since not all eligible people in the selected segments were examined (the cluster size was limited to 50 individuals) an element of subjectivity still remained, which may have resulted in bias if it led to the systematic over- or undersampling of blind people. This problem may be overcome in future surveys through the delineation of smaller segments (e.g. five to ten households), with random selection of the number of segments required to make up the estimated sample size per cluster, and inclusion of all eligible persons in all selected segments. If the required sample is not reached, additional segments can be randomly selected (as required) and all eligible persons included. Given that the survey was conducted by visiting households door-to-door in villages, it was not possible to undertake sufficiently detailed ophthalmic examinations to be able to measure posterior segment disorders accurately. The presence of night blindness was not routinely measured in the survey, although anecdotal findings from the ophthalmologists suggest that it was relatively common in this population, so a further study to estimate the prevalence of xerophthalmia may be required. The sample size was relatively small because of the unexpectedly low prevalence of blindness, although this affected only the width of the confidence intervals around the estimates rather than the prevalence estimates. People who had undergone cataract surgery may have been hesitant to express lack of satisfaction with the surgery to health professionals, so satisfaction may have been overestimated. In conclusion, while the prevalence of blindness in the Western Province of Rwanda was relatively low, most of the cases were avoidable. The implementation of an effective eye care service is a priority and could reduce the prevalence of blindness substantially.
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              Cataract surgical coverage remains lower in women.

              Cataract remains the leading cause of global blindness. Evidence from population-based surveys, carried out up to 2000, and the launch of the VISION 2020 initiative to address avoidable blindness showed that women in low- and middle-income countries had a lower cataract surgical coverage (CSC) than men. A systematic review identified population-based surveys reporting CSC in low- and middle-income countries published since 2000. Researchers extracted data on sex-specific CSC rates and estimated the overall CSC differences using meta-analyses. Among the 23 surveys selected for this review, 21 showed higher CSC among men. The Peto odds ratio revealed that men were 1.71 times (95% CI 1.48 to 1.97) more likely to have cataract surgery than women. The risk difference in the rates of surgery varied from -0.025 to 0.276, and the combined average was 0.116 (95% CI 0.082 to 0.149). Gender inequity in use of cataract surgical services persists in the low- and middle-income countries. It is estimated in this study that blindness and severe visual impairment from cataract could be reduced by around 11% in the low- and middle-income countries if women were to receive cataract surgery at the same rate as men. Additional effort globally is needed to ensure that women receive the benefits of cataract surgery at the same rate as men.
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                Author and article information

                Journal
                Middle East Afr J Ophthalmol
                Middle East Afr J Ophthalmol
                MEAJO
                Middle East African Journal of Ophthalmology
                Medknow Publications & Media Pvt Ltd (India )
                0974-9233
                0975-1599
                Jan-Mar 2016
                : 23
                : 1
                : 145-149
                Affiliations
                [1 ]Division of Ophthalmology, Groote Schuur Hospital, University of Cape Town, South Africa
                [2 ]Kilimanjaro Centre for Community Ophthalmology, Division of Ophthalmology, Groote Schuur Hospital, University of Cape Town, South Africa
                Author notes
                Corresponding Author: Dr. Shaheer Aboobaker, 25 Protea Road, Claremont, Cape Town 7708, South Africa. E-mail: aboobakersh@ 123456gmail.com
                Article
                MEAJO-23-145
                10.4103/0974-9233.164615
                4759895
                26957856
                Copyright: © Middle East African Journal of Ophthalmology

                This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

                Categories
                Review Article

                Ophthalmology & Optometry

                africa, gender, cataract, barriers

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