Knowledge about Cataract and its Risk Factors among an Adult Population in the Cape Coast Metropolis, Ghana
Received: 08-Feb-2018 / Accepted Date: 03-Mar-2018 / Published Date: 08-Mar-2018 DOI: 10.4172/2476-2075.1000127
Abstract
Objective: The aim of the study was to assess the level of knowledge about cataract and its risk factors among an adult population in the Cape Coast metropolis, Ghana.
Method: A descriptive cross-sectional study involving 250 participants. Interview of participants was conducted using a structured questionnaire. The questionnaire was developed following the World Health Organization (WHO) guide on developing knowledge, attitude and practices (KAP) survey.
Results: Majority 52.80% of the participants was males; 54.00% of the participants were unemployed and 59.60% of the participants were either junior high or senior high school educated. Ages of participants ranged from 23 years to 75 years with a mean age of 49.57 years. 85.60% of the participants were familiar with the term ‘cataract’. Over half of the participants defined cataract correctly and were able to identify the most common symptom of cataract. Less than half (44.86%) of the participants correctly identified surgery as the standard treatment for cataract. Less than half of the participants were aware of sunlight (UV) exposure, diabetes, trauma, steroid use, smoking and heredity to each be a risk factor for cataract development. A statistically significant association was found between level of education and knowledge of cataract (OR=4.31, p=0.03332). Participants who had previously undergone cataract surgery were found to be more likely to know about cataract (OR=11.42, p=0.0908).
Conclusion: Overall, over 70% of participants had low knowledge of cataract. There is a dire need for public health educational programs to improve the level of knowledge and awareness in the study population.
Keywords: Knowledge; Cataract; Diabetes; Sunlight; Surgery; Risk factors; Age; Trauma
Introduction
Cataract is defined as the opacification of the crystalline lens. Symptoms of cataract include blurred/reduced vision, cloudy vision, glare, seeing haloes around light and inability to see in dim light [1]. Several risk factors have been identified to influence cataract development. The most common factors include increasing age, sunlight (UV) exposure, trauma, smoking, steroid use and genetics [2]. Most often interplay of two or of these risk factors influence the development of cataract in an individual.
The visual significance of cataract cannot be underemphasized. Left untreated, cataract can lead to blindness [3,4]. According to a World Health Organization (WHO) report, un-operated cataract accounts for 25% of the global visual impairment burden, second only to refractive errors which accounts for 53% of visual impairments. Un-operated cataract is the leading cause of blindness, accounting for 35% of the global blindness burden (WHO 2016).
Currently, the standard treatment for cataract is surgical extraction of the opacified lens with an implantation of an artificial lens [5-7]. Studies have shown that like other eye care services, even when cataract surgery options are available, they are generally underutilized [8,9]. One of the factors reported to contribute to underutilization of cataract surgical services is the lack of awareness of cataract and the surgical treatment option [10,11]. A study by Battle et al. reported lack of awareness of cataract and its treatment option and the cost of surgery to be the two main barriers to the uptake of cataract surgical services in Latin America [11].
The aim of the study was to assess the level of knowledge about cataract and its risk factors among an adult population in the Cape Coast metropolis, Ghana. The findings from this study would help improve on areas and ways of public awareness campaigns for cataract and its risk factors.
Methods and Materials
A descriptive cross-sectional study conducted in the Cape Coast metropolis, Ghana. According to the 2010 Population and Housing Census, population of the Cape Coast metropolis is 169,894 constituting 7.7% of the population of the Central region. Majority (77%) of the metropolis is urban, with about 23% being rural [12].
Using a lottery method of sampling, five (5) localities (Kwaprow, Akotokyir, Amamoma, Kakumdo and Nkanfoa) were selected out of the twenty (20) towns and settlements in the metropolis. Using simple random sampling, 50 participants were sampled from each locality, giving a total sample size of 250 participants.
Verbal consent was obtained from participants after the details of the study were thoroughly explained to them. Interview of participants was conducted using a structured questionnaire. The questionnaire was developed following the World Health Organization (WHO) guide on developing knowledge; attitude and practices (KAP) survey [13]. Data collected included demographics of the respondents, general knowledge about cataract, its presentation, effects, the risk factors associated with its development and treatment options available. For participants who could not read and understand English, the content of the questionnaire was read out to them in a dialect they understood (mostly Fante) and their responses were recorded accordingly.
The questionnaire was divided into two sections. The first sections measured mainly the demographics of participants and whether or not participants were familiar with the term ‘cataract’ before. Participants who answered YES to being familiar with the term ‘cataract’ before were asked to answer the second section of the questionnaire. The second section of the questionnaire assessed the knowledge about cataract, its risk factor and available treatment option. This section consisted of 13 questions. A participant was graded as having a high knowledge about cataract when he or she answered 10-13 of the questions correctly, moderate knowledge when he or she answered 5-9 questions correctly and low knowledge when he or she answered
The data was analyzed using the Statistical Package for Social Scientists (SPSS) software version 20.0 and Microsoft Excel (2010). Proportional data were compared using Chi – Square test as well as odd ratios. At 95% confidence interval, p-values
Results
Majority (52.80%) of the participants were males. Ages of participants ranged from 23 years to 75 years with a mean age of 49.57years. Majority (54.00%) of the participants was unemployed and the highest level of education of majority (59.60%) of the participants was either junior high or senior high school (Table 1). One hundred and eighty-eight (188, 75.20%) of the participants had normal, clear crystalline lens and 35 (14.00%) had lens opacities.
Demographics | Participants [N (%)] | |
---|---|---|
Gender | Male | 132 (52.80) |
Female | 118 (47.20) | |
Age (years) | 21 – 30 | 73 (29.20) |
31 – 40 | 49 (19.60) | |
41 – 50 | 41 (16.40) | |
>50 | 87 (34.80) | |
Highest level of education | Non-school leaver | 51 (20.40) |
Junior High | 61 (24.40) | |
Senior High | 88 (35.20) | |
Tertiary | 50 (20.00) | |
Employment status | Employed | 115 (46.00) |
Unemployed | 135 (54.00) | |
State of lens | Normal | 188 (75.20) |
Cataract | 35 (14.00) | |
Pseudophakes | 27 (10.80) |
Table 1: Participant Characteristic
Two hundred and fourteen (85.60%) participants were familiar with the term ‘cataract’. Of these 214 participants, 67 (26.80%) heard of cataract from health care professionals, 47 (18.80%) heard of it on the media, 29 (11.60%) heard of it from personal readings and 107 (42.80%) heard of it from friends and relatives.
What cataract is, the commonest symptom of cataract and the possibility of cataract leading to blindness were each correctly answered by 62.15%, 50.93% and 74.77% of the 214 participants respectively. The treatment option for cataract, coverage of cataract treatment by the National Health Insurance Scheme (NHIS) and the use of concoctions as alternative treatment for cataract were each wrongly answered by 55.14%, 69.63% and 65.42% of the 214 participants respectively (Table 2).
General Knowledge about Cataract | Participants [N (%)] | |
---|---|---|
What is cataract? | Crystalline lens opacities | 133 (62.15) |
Raised IOP | 61 (28.50) | |
Growth on the eye | 20 (9.35) | |
Commonest symptom of cataract | Blurred/reduced/cloudy vision | 109 (50.93) |
Ocular pain | 82 (38.32) | |
Itchiness | 23 (10.75) | |
Can cataract lead to blindness? | Yes | 160 (74.77%) |
No | 54 (25.23) | |
What is/are the treatment option(s) for matured cataract? | Surgery | 96 (44.86) |
Medication/ spectacles | 118 (55.14) | |
Are you aware treatment for cataract covered under the NHIS? | Yes | 65 (30.37) |
No | 149 (69.63) | |
Are concoctions alternate treatments for cataract? | Yes | 74 (34.58) |
Table 2: General Knowledge about Cataract and Treatment Options
The risk factor for cataract development most known by the participants was increasing age. Majority (78.97%) of the participants reported knowledge of increasing as a risk factor for cataract development. Less than half of the participants knew diabetes, sunlight (UV) exposure, trauma, smoking and heredity to be a risk factor for cataract development (Table 3).
Risk factors | Participants [N (%)] | |
---|---|---|
Sunlight (UV) exposure | Yes | 104 (48.60) |
No | 110 (51.40) | |
Increasing age | Yes | 169 (78.97) |
No | 45 (21.03) | |
Diabetes | Yes | 62 (28.97) |
No | 152 (71.03) | |
Trauma | Yes | 103 (48.13) |
No | 111 (51.87) | |
Steroid use | Yes | 50 (23.23) |
No | 164 (76.77) | |
Smoking | Yes | 54 (25.23) |
No | 160 (74.77) | |
Heredity | Yes | 73 (34.11) |
No | 141 (65.89) |
Table 3: Knowledge of common risk factors for cataract development
Overall, over 70% of participants had low knowledge of cataract and 4.40% had high knowledge of cataract (Table 4).
Grading | Participants [N (%)] |
---|---|
Low (<5 correct answers) | 193 (77.20%) |
Moderate (6-9 correct answers) | 46 (18.40%) |
High (10-13 correct answers) | 11 (4.40%) |
Table 4: Grading of Participants Knowledge about Cataract
Although not statistically significant, participants older than 40 years were found to know more about cataract. There was a statistically significant relationship between highest level of education and knowledge about cataract, with tertiary level educated more likely to know about cataract and its risk factors (p=0.0332). The relationship between participant’s demographics and their previous knowledge of cataract is presented in Table 5.
Participants characteristics | OR (CI) | P-value | |
---|---|---|---|
Gender | Male | 1 | 0.4731 |
Female | 1.30 (0.64-2.66) | ||
Age (years) | ≤ 40 | 1 | 0.1134 |
>40 | 1.79 (0.87-3.69) | ||
Highest level of Education | Non-school leavers | 1 | |
High school | 1.59 (0.71-3.56) | 0.2613 | |
Tertiary | 4.31 (1.12-16.53) | 0.0332 | |
Employment status | Employed | 1 | 0.4435 |
Unemployed | 0.75 (0.36-1.56) | ||
State of lens | Normal | 1 | |
Cataract | 1.59 (0.52-4.82) | 0.4124 | |
Pseudophakes | 11.42 (0.68-192.07) | 0.0908 |
Table 5: Relationship between Participant Characteristics and Cataract Awareness
Discussion
Majority (85.60%) of the participants were familiar with the term cataract. This is similar to the study of Lau et al. [14] and Katibeh et al. [15] in which over 90.00% of the participants were reported to be familiar with cataract. This is probably due to majority of the participants having some form of education. 79.60% of the participants had either high school or tertiary level education. Studies have established the relationship between educational status and level of knowledge about ocular conditions. Lau et al reported a statistically significant association between level of education and knowledge about both cataract and glaucoma [14].
Majority (62.15%) of the participants defined cataract correctly as “crystalline lens opacities”. This is contrary to the study of which reported that majority of the participants could not defined cataract correctly [16]. Contrary to the report of Lau et al. [14] over 50.00% of the participants in this study were able to identify the common symptom of cataract. An explanation for the difference in finding between our study and that of Lau et al. might be the method of data collection. In our study close ended questions with three possible answers were used in elucidating participant’s knowledge of cataract symptoms while in that of Lau et al., open ended questions were used. With the close ended nature of the questions used in our study, participants could have guessed answers to questions and might be a reason for the high percentage of participants with good knowledge about the symptoms of cataract [14].
Less than half (44.86%) of the participants correctly identified surgery as the standard treatment for cataract. This means less than half of the participants appreciate the role of surgery in reducing blindness due to cataract. This could be a problem to cataract surgical uptake as the felt need for cataract surgery might be low within the population. Studies by Khandekar and Al-Harby [17] and Katibeh et al. [15] reported the contrary. In their studies over 50.00% of the participants knew of surgery as the treatment for cataract. Majority (74.77%) of the participants knew cataract could lead to blindness. This is a relatively high percentage of participants having knowledge about cataract leading to blindness in comparison to other studies conducted in developing countries. In the study of Katibeh et al. less than half (47.6%) of the participants were aware cataract can lead to blindness. Also, in the study by [16] over 70% of the participants were not aware cataract can lead to blindness.
Increasing age was the commonest risk factor for cataract development identified by the participants in this study 78.97% of the participants reported being aware of increasing age as a risk factor for cataract development. Contrary to the findings in our study [16] reported that less 30.00% of the participants in their study were aware of increasing age as a risk factor for cataract development. Less than half of the participants were aware of sunlight (UV) exposure, diabetes, trauma, steroid use, smoking and heredity to be a risk factor for cataract development.
A statistically significant association was found between level of education and knowledge of cataract and its related risk factors, with tertiary level educated participants about 4 times likely to have knowledge about cataract and its related risk factors than those without any form of formal education (p=0.0332). Several studies have reported the association between level of education and knowledge about ocular conditions [14,15,18]. Although not statistically significant, participants who had previously undergone cataract surgery were over 11 times likely to know about cataract and its related risk factors than those with normal crystalline lens. Having had the conditions and undergone treatment for it, there is a high possibility these participants had come into touch with eye care professionals who might have explained the condition in one way or the other to such individuals.
Overall, over 70% of participants had low knowledge of cataract and 4.40% had high knowledge of cataract. This low knowledge of cataract, its risk factors and treatment options could be a potential barrier to utilization of available eye care services. Mehari et al. [19] reported lack of awareness of the availability of effective treatment as one of the major reasons for delayed cataract surgery. A study in Nigeria identified unawareness of cataract as a cause of blindness and lacks of knowledge about cataract services as the combined most important barrier to cataract surgery [20].
Conclusion
With over 70.00% of the participants having low knowledge of cataract, there is a dire need for public health educational programs to improve the level of knowledge and awareness about cataract in the study population.
Conflict of Interest
The authors have no conflict of interest to declare.
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Citation: Abdul-Sadik A, Abdul-Kabir M, Akowuah PK, Forfoe S (2018) Knowledge about Cataract and its Risk Factors among an Adult Population in the Cape Coast Metropolis, Ghana. Optom Open Access 3: 127. DOI: 10.4172/2476-2075.1000127
Copyright: © 2018 Abdul-Sadik A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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