Abstract
Background: Refractive errors are common eye disorders affecting people of all age groups worldwide.
Aim: To determine the prevalence and determinants of refractive errors among patients attending a rural-based optometry clinic from January 2018 to December 2019.
Setting: The study was conducted at Sekororo District Hospital in Mopani District of Limpopo Province, South Africa.
Methods: A retrospective cross-sectional study comprising two stratified random samples (2018 and 2019) was conducted based on the clinical records of patients who consulted the clinic. Data were analysed with Statistics or Data Analysis software, STATA ed. 15. Determinants of refractive errors were identified using regression analysis and reported as odds ratios with 95% confidence intervals (CI).
Results: In the 2018 sample, the prevalence of myopia, hyperopia and astigmatism in the right eyes was 10% (95% CI: 7.0–14.2), 7.5% (95% CI: 4.5–1.3) and 43.4% (95% CI: 37.6–49.3), respectively. Left eyes had myopia 16.1% (95% CI: 12.2–21.0), hyperopia 7.5% (95% CI: 4.5–1.3) and astigmatism 40.1% (95% CI: 34.5–46.0). For the 2019 sample, the prevalence of myopia in right eyes was 13.3% (95% CI: 9.5–18.3), hyperopia 3.8% (95% CI: 2.0–7.3) and astigmatism 33.8% (95% CI: 28.0–40.1). Left eyes had myopia 17.5% (95% CI: 13.1–23.0), hyperopia 8.1% (95% CI: 5.2–12.4) and astigmatism 26.9% (95% CI: 21.6–33.0).
Conclusion: Across the samples (2018 and 2019) and to laterality (right and left eyes), myopia prevalence ranged from 10% to 17.5% while hyperopia ranged from 3.8% to 8.1%. Astigmatism was most prevalent (ranging from 26.9% to 43.4%).
Contribution: This article provides useful information about the prevalence of REs in the district hospital setting. The Department of Health Authority may use the results for policy decisions.
Keywords: refractive errors; myopia; hyperopia; astigmatism; determinants.
Introduction and theoretical background
Uncompensated refractive errors (UREs) are very common eye disorders and a leading cause of mild, moderate or severe vision impairment (SVI).1,2,3,4 Such vision impairment (VI) can create unnecessary personal and economic disadvantages. An international classification of distance VIs based on the better-corrected eye includes mild vision impairment (MiVI) for those with distance visual acuity (VA) worse than 6/12–6/18, moderate (MoVI) with VA worse than 6/18–6/60 and SVI for those with the VA 6/60–3/60.3 In contrast, near VI is only classified for those with the near VA worse than N6 or M8 at 40 cm or blindness with VA worse than 3/60 in the better-corrected eye.
Refractive errors are related to second lower-order aberrations that occur because of an imperfect optical system not focusing retinal images of light from an object in the external world, thereby leading to blurred images in the absence of any optical or surgical compensation.5 Refractive errors of the eye include spherical refractive errors (myopia and hyperopia sometimes called hypermetropia) and nonspherical refractive errors (astigmatism). Ametropia is a medical term that refers to the state of the eye in which refractive error is present.1,2,3,4,5,6
Common causative factors for URE include longer or shorter axial lengths rather than the average axial length of the eyeball, which is approximately 24.4 mm.1,2,4,6 An increased axial length (>24.4 mm) is often associated with an increased risk of myopia, while decreased axial length is associated with an increased risk of hyperopia. Other refractive elements of the eyeball such as abnormally strong or weak corneal refractive powers might be relevant, and asymmetric curvatures of the cornea and/or crystalline lens of the eye are associated with a greater risk for astigmatism.4
Other causative factors for uncorrected refractive errors include genetic, environmental and ocular degenerative or inflammatory factors associated with diseases such as diabetes, keratoconus or glaucoma where glaucoma prevalence is associated with the refractive state, increasing gradually with increasing myopia.1,2,3,4,5 Genetic factors related to an affected child’s family background with parents and/or grandparents with myopia may also produce myopia in the child.6 Childhood (or school) myopia is often at schoolgoing age (6 years and above, but before 18 years).1 Environmental changes such as growing up in modern society, whereby people spend more time indoors and less time outdoors, are believed to be another causative factor in the increasing prevalence of myopia in children.7,8 In modern society, people spend extensive time viewing electronic devices such as computers, smartphones and others for recreational, educational and professional purposes.7 Again, decreased exposure to vitamin D or perhaps less outdoor exercise with more distance viewing as compared to closer viewing indoors may also lead to increased risk for myopia, which is more common in persons with vitamin D deficiency as opposed to those without such deficiency.7,8 Retinal degenerative or other changes with pathological myopia associated with ocular axial length elongation can sometimes lead to retinal damage including maculopathy and retinal detachment (RD).2,4,6 Such degenerative disease processes can progress from childhood to early adulthood, sometimes causing progressive myopia with VI that might not be fully amenable to compensation or correction.
Presbyopia is another common eye disorder with ageing that occurs because of physiological insufficiency in the amplitude of ocular accommodation causing blurred near vision when reading fine print or perhaps threading needles.1,4 Presbyopia relates to the ageing factors and sclerosis of the ocular crystalline lens.1 In the sub-Saharan African (SSA) region, uncompensated presbyopia is believed to be the second leading cause of near VI, after cataracts as the leading cause (mainly because of insufficient healthcare resources leading to an inability to promptly perform the necessary surgeries).3,9
Ametropia or URE mainly occurs because of natural structural defects of the eyeball, and although they sometimes cannot be easily prevented, they can be diagnosed, measured and treated in clinical settings by healthcare professionals, such as optometrists, opticians, ophthalmologists and other trained healthcare professionals.1,2,3 Management of URE can be achieved through optical means using spectacles or contact lenses and surgical treatment.1,2,3,4 The prevalence of preventable distance and/or near VI because of URE and presbyopia differs from one country or region to another. In low-income countries, the prevalence of VI because of URE is four times more than in high-income countries.3,9 However, high-income countries still have a relatively high prevalence of VI because of the prevalence of refractive errors despite having ample resources and the latest medical technology to diagnose and treat ametropia.3 For example, in China and other Asian countries, prevalence of moderate-to-severe myopia is large with a high risk for possible complications such as maculopathy and RD leading to irreversible moderate or severe VI.3,10 Comorbidities such as diabetes, hypertension and cardiovascular conditions also complicate refractive error and the risk for VI and this applies throughout the world.3
Globally, as of 2022, at least 2.2 billion people are living with some form of VI or blindness, of which at least 1 bn are visually impaired because of URE and/or presbyopia. Of this 1 bn, URE affects at least 123 million people with 826 m presbyopes; thus, at least, 1 bn could be assisted with simple spectacles.3 The remaining 1.2 bn people are visually impaired or blind because of other causes, such as cataracts, glaucoma, corneal opacities, diabetic retinopathy and trachoma, and this is especially so in low-income countries.3
The primary purpose of this study was to investigate URE and VI among African participants visiting the optometry clinic in a rural environment in the Mopani District of the Limpopo Province, South Africa. As stated earlier, URE is a common disorder of the eye, leading to VI in the absence of correction or compensation. To the best knowledge of the researchers, this study is the first retrospective study of URE and VI conducted in a public hospital setting for patients consulted at a rural clinic over an extended period of 2 years from January 2018 to December 2019 based on history records archived for clinical purpose rather than this research. The samples were compared over 2 years to investigate similarities or differences per annum.
Method and materials
The data were collected retrospectively in the optometry clinic at Sekororo District Hospital in the Mopani District of Limpopo Province in South Africa. Historical records were extracted from the clinical archive for the patients who had consultations at the clinic between 01 January 2018 and 31 December 2019. (The year 2020 was excluded because of coronavirus disease 2019 [COVID-19].) This study was ethically approved (FREC-1170-2021) by the Faculty Research and Ethics Committee (FREC) in the Faculty of Health Sciences at the University of Johannesburg, South Africa. Permission to conduct the study at the selected district hospital was granted by the Provincial Health Research and Ethics Committee of the Limpopo Department of Health (South Africa)11,12 and by the Chief Executive Officer (CEO) of Sekororo Hospital.
The records of the patients from the clinic were randomly selected using a probability-stratified random sampling method with the aid of a random function: fx = rand (num) of an Excel spreadsheet (Microsoft 365) for Windows 11 where num is the patient record number. The restriction and stratification techniques were applied to avoid bias and confounding effects by excluding the sampled records with incomplete information and then stratifying sampled records into two subgroups or strata (2018 and 2019) according to the year in which the patients consulted at the clinic. The statistical formula of Cochrane shown in Equation 1 was used to determine the required minimum sample size:
whereby,
n = the required or minimum sample size.
P = the estimated proportion of refractive errors in a population. The degree of variability is not known. A proportion of 50% is assumed in this study for a maximum level of variability elected, suggesting that half of the sample would be emmetropic and the other half would be ametropic.
e = the margin of error, which is the risk the researcher is willing to accept, which could be because of factors such as missing or incomplete clinical records in the study.
Z = the probability value at a significant level of 0.05: here Z = 1.96 obtained from the published probability table of z-scores13 corresponding to the level of confidence required (here 95%).
Therefore:
Therefore, the required minimum sample size for the study was 384 records. The stratified formula (sample size for the entire study divided by population size × stratum size)14 was used to spread the required minimum sample size (384) into two strata (i.e. 2018 and 2019). The required sample size for 2018 is 384/1140 × 706 = 238. For 2019, the required sample size is 384/1140 × 434 = 146. To further increase the statistical power, 200 additional records were added to each stratum; therefore, the records for 2018 increased from 238 to 438, while the records for the 2019 sample increased from 146 to 346. Furthermore, extracted clinical records with missing information needed to be excluded from the analysis, so 159 records for 2018 and 112 records for the 2019 sample were excluded from the study. Thus, the final sample sizes for analysis for the 2018 sample comprised 279 records and 234 records for the 2019 sample, or a grand total of 513 records over the period concerned.
For refractive error, the prevalence of myopia, hyperopia and presbyopia for the right and left eyes was determined using the spherical equivalent refractive (SER) powers of ≤ ‒0.25 diopter (D), ≥ 0.50 D and 1 D, respectively, but the prevalence of astigmatism was determined using the cylindrical equivalent refractive power of ≤ ‒0.25 D.12 The determinants or associated risk factors for refractive errors were determined between the dependent variable (the refractive errors) and specific independent variables, i.e. age, and gender using univariate and multivariate logistic regression analysis reported as the odds ratio (OR) with 95% confidence intervals (CI).
Statistical analysis
The data were captured in an Excel spreadsheet (Microsoft 365) for Windows, and statistical analysis was performed with the Statistics or Data Analysis (Stata) software special edition 15 (STATA Corporation, College Station, Texas 77845, United States). The results in this article include narration and tabulation of statistics. Chi-squared tests (χ2) were done to assess the strength of association of the categorical variables. A value of p < 0.05 was used to test for significance. Univariate and multivariate logistic regression analysis models were used to identify the determinants of any refractive errors. The results of univariate and multivariate logistic regression analysis models were reported as OR with 95% CI.
Ethical considerations
An application for the full ethical clearance to conduct this study was obtained from the University of Johannesburg Faculty of Health Sciences Research Ethics Committee on 06 August 2021. The clearance number is REC-1170-2021.
Results
Table 1 shows demographic data of the clinical records extracted from the archive for patients who attended the optometry clinic. The demographic variables include age group and gender. For the 2018 sample, 279 clinical records were sampled comprising 193 (69.2%) records for females and 86 (30.8%) for males. The largest proportion of the sampled records were 119 (42.7%) and in the age group 61–90 years. The smallest proportion of sampled records was 60 (21.5%) in the age group ≤ 30 years. For the 2019 sample, a total of 234 clinical records were sampled comprising 153 (65.4%) records for females and 81 (34.6%) records for males. The largest proportion of sampled records were 107 (45.7%) and 44 (18.8%) in the age group 61–90 years. The smallest proportion of sampled records were 63 (26.9%) (2.6%) in the ≤ 30 years. The age and gender groups in both samples (for 2018 and 2019) were associated, and these factors (age and gender) were statistically significant (p = 0.000) to assess the strength of the association.
| TABLE 1: Summary of the demographic profiles for the 2018 and 2019 samples. |
Table 2 shows the prevalence of myopia, hyperopia and astigmatism, as well as emmetropia in the 2018 and 2019 samples. Astigmatism was the most prevalent refractive error in both samples, and astigmatism was more in the right eyes than in the left eyes. The least prevalent refractive error for the right and left eyes in both samples was hyperopia, but the amount of hyperopia for the right and left eyes in the 2018 sample was similar. In contrast, hyperopia for the right and left eyes in the 2019 sample differed where the left eyes were more hyperopic than the right eyes. Emmetropia in both samples was more in the right eyes than in the left eyes.
| TABLE 2: Prevalence of emmetropia and refractive errors such as myopia, hyperopia and astigmatism of the right and left eyes for the 2018 and 2019 samples. |
Table 3 refers to the prevalence of presbyopia (≈ 47% – 50% of eyes) irrespective of year (2018 or 2019) or laterality. Presbyopia was very slightly more prevalent at 50.5% in the 2018 sample versus 47% in the 2019 sample.
| TABLE 3: Summary of the prevalence of presbyopia for the right and left eyes for the 2018 and 2019 samples. |
Table 4 shows that astigmatism was the most prevalent refractive error in the 2018 sample for females and males, and it was more in females than in males. However, more males were emmetropic as compared to females. For the 2019 sample, astigmatism remained the most prevalent refractive error in female and male patients, but males were more emmetropic than females. Moreover, the least prevalent refractive error was hyperopia in both samples for 2018 and 2019. The amount of hyperopia for males and females in both samples differed.
| TABLE 4: Prevalence of refractive errors (myopia, hyperopia and astigmatism) and emmetropia based on gender with 95% confidence intervals (CI) of the right and left eyes for the 2018 and 2019 samples. |
In Table 5, hyperopia was the most common refractive error for both the right and left eyes in the age group ≤30 years in both samples (2018 and 2019), but the age group 31–60 years was more myopic, and the age group 61–90 years was more astigmatic. Emmetropia in the right and left eyes for both samples was more in the age group 31–60 years. However, the age group 61–90 years in two stratified samples was less emmetropic in which the right eyes were more emmetropic than the left eyes.
| TABLE 5: Prevalence of myopia, hyperopia, astigmatism and emmetropia for the right and left eyes with 95% confidence intervals (CI) showing the lower and upper limits based on age groups in 30-year intervals of the patients consulted at the clinic in 2018 and 2019. |
Table 6 summarises the results of the univariate and multivariate logistic regression analysis to identify determinants of refractive errors for the right and left eyes of all patients consulted at the optometry clinic at Sekororo District Hospital from 2018 to 2019. The table also includes the uniform patient fee scheme (UPFS) as a variable for refractive errors. The categories H0 and H1 indicate the applicable subsidy for services that patients receive. Univariate logistic regression analysis for the 2018 sample revealed that age is a determinant of refractive errors for the right eyes (OR = 2.59; 95% CI = 0.73–9.17; p = 0.166) and left eyes (OR = 2.31; 95% CI = 0.61–0.70; p = 0.433) in the 2018 sample but not statistically significant. Gender and UPFS classifications are not a determinant of any refractive errors for the right and left eyes but are statistically significant (p = 0.001 for gender and p < 0.001 for UPFS). However, the multivariate logistic regression analysis results further revealed that age, gender and UPFS are not the determinants of refractive error for the right and left eyes. For the 2019 sample, univariate logistic regression analysis revealed that the age of a patient is a determinant of (any) refractive error for the right and left eyes and is statistically significant (OR = 1.00; 95% CI = 0.83–1.40; p = 0.020). Again, gender and UPFS are not a determinant of refractive errors for the right and left eyes, but the UPFS is statistically significant (p = 0.013). Multivariate logistic regression analysis in Table 6 revealed that age is a determinant of refractive errors for the right and left eyes, statistically significant (OR = 1.44; 95% CI = 0.23–2.65; p = 0.020). Gender and UPFS are not the determinants of refractive errors for the right and left eyes, but the UPFS is statistically significant (p = 0.019).
| TABLE 6: Summary of logistic regression analysis between refractive errors and categorical variables for the right and left eyes for 2018 and 2019. |
Discussion
This study is the first retrospective cross-sectional study based on the clinical records extracted from the archive of Sekororo District Hospital aimed at investigating the prevalence and determinants of refractive errors among all patients who consulted a rural optometry clinic over 2 years from January 2018 to December 2019. The study comprised two stratified random samples (2018 and 2019). The results of the present study are comparable to those of previous studies from different parts of the world.
The overall prevalence of refractive errors for the right eyes and left eyes ranging from 50.8% to 63.8% for the 2018 and 2019 samples is not consistent with that of other previous studies, which could be because of different samples, settings and methodology used to gather the data. The prevalence of refractive errors for the right and left eyes of the present study in both samples is larger than that of other previous related studies in Africa, where the overall prevalence ranges from 4.7% to 48.8%15,16,17,18 and smaller than that of other studies conducted outside Africa with the prevalence range of 69.7% – 78.0% because of the different settings.19,20 The prevalence of refractive errors for the right and left eyes of the present study in two samples is smaller than that of other previous studies in Africa, where the prevalence ranges from 96.2% to 97.5%21,22 and larger than that of other previous studies in Africa with the prevalence range of 12.9% – 97.5%.23,24,25,26,27,28,29,30,31,32,33,34 The difference in the prevalence of refractive errors for present and previous studies could be the result of a larger or smaller population, as well as the research design.
The prevalence of myopia in the right (10.0%) and left eyes (16.1%) of the present study with a range of 10.0% – 17.5% in both samples did not necessarily agree with that of other previous studies. For example, the prevalence of myopia in the right and left eyes is larger than that for previous studies with the prevalence ranging from 4% to 7% conducted inside and outside Africa19,22,27,35,36,37,38,39,40,41 but is smaller than that of other studies where the prevalence ranged from 27% to 33.8%.15,22,27,30,37,42,43,44,45,46
The prevalence of hyperopia for the right and left eyes of the present study in both stratified random samples (for 2018 and 2019) is not similar where the prevalence of hyperopia ranges from 3.8% to 7.53% to that of other studies conducted outside and inside the border of Africa. The prevalence of hyperopia for the right and left eyes of the present study in two samples is larger than that of other studies where the prevalence ranges from 4.5% to 6.5%15,18,26,28,30,34,35,36,39,43,45,47,48 but is smaller than that of other studies that were conducted outside the African continent (with the prevalence ranging from 8% to 53.3%).15,19,22,23,25,27,35,36,37,38,40,44,45,46,49,50,51,52,53
The prevalence of astigmatism in the right and left eyes of the present study in samples ranged from 33.8% to 43.4%. The prevalence of astigmatism in the right and left eyes of the present study is not consistent with other previous studies conducted outside and inside Africa and is smaller than that of some studies where the prevalence ranges from 45.6% to 68.1%19,22,27,38,52 but is larger than that of other studies conducted outside Africa where the prevalence ranges from 2.8% to 25.7%, which could be because of different population and settings.15,22,23,25,26,29,34,35,36,39,42,46,53
Thus, the results of the present study show that astigmatism is the most prevalent refractive error for the right and left eyes for both stratified random samples, and these results are consistent with previous systematic review and meta-analysis as reported by Hashemi et al.49 and are not consistent with some studies conducted both outside15,37,42,46,51 and inside the African continent23,25,30,34,54 but are consistent with some studies outside Africa19,35,36,52,55 and inside Africa.22,27,38 The reason for these inconsistencies could include differences in definitions of astigmatism or study designs. Females had a large prevalence of astigmatism for the right and left eyes in both samples of the present study compared to males, and this is consistent with one previous study36 but is not consistent with another previous study.15
The prevalence of presbyopia for the right and left eyes in the 2018 sample of the present study is similar at 50.5% but the prevalence of presbyopia for the right and left eyes is similar at 47.0% for the 2019 sample. The prevalence of presbyopia in the right and left eyes in both 2018 samples is not consistent with that of other previous studies conducted in different parts of the world. The prevalence of presbyopia for the right of the present study in the 2018 sample is larger than that of other studies conducted outside Africa where the prevalence ranges from 30.4% to 42.9%56,57 and is smaller than that of other studies conducted in Africa with the prevalence of 59%.46 The prevalence of presbyopia for the left eye of the present study in the 2018 sample is larger than that of other studies where the prevalence ranges |
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