We determined the knowledge by assessing the responses of the respondents using variables concerned with transmission, mortality, breeding sites and symptoms of the disease.
Ethical considerations and consent approval
Ethical approval for the study was granted by the Ethics Committee of the Chukwuemeka Odumegwu Ojukwu University Teaching Hospital (COOUTH), Awka. Information and purpose of the study were clearly described to all prospective participants and those who consented to be part of the study indicated by giving oral or written consent. All information obtained during the study from the participants was handled confidentially and data were restricted for this study only.
Reliability analysis
A reliability analysis helps to check how reliable a study instrument is in measuring an idea that it was designed for. This was done using the Cronbach Alpha (CA) value which should not exceed 0.50 at least. This, however, did not apply to our knowledge assessment since it was based on a grading system. Tables 1A and 1B, show the reliability analysis result for participants' attitudes to prevention and treatment.
Table 1A: Reliability test for attitude on prevention
|
Item
|
Scale Mean if Item Deleted
|
Scale Variance if Item Deleted
|
Corrected Item-Total Correlation
|
Cronbach's Alpha if Item Deleted
|
You are bothered by the presence of mosquitoes
|
11.87
|
.981
|
.592
|
.626
|
Do you think malaria is preventable
|
12.00
|
1.143
|
.776
|
.613
|
I think malaria is a serious and life-threatening disease
|
11.93
|
1.210
|
.394
|
.732
|
I believe in sleeping under a mosquito net to prevent mosquito bites
|
12.40
|
.686
|
.559
|
.708
|
Table 1B: Reliability analysis on attitude on treatment
|
Item
|
Scale Mean if Item Deleted
|
Scale Variance if Item Deleted
|
Corrected Item-Total Correlation
|
Cronbach's Alpha if Item Deleted
|
Blood smear necessary for malaria diagnosis
|
11.13
|
2.124
|
.442
|
.323
|
I believe in visiting health centers when I feel sick
|
11.33
|
1.667
|
.546
|
.180
|
I think it’s risky when malaria medicine is not taken properly and completely
|
10.53
|
2.552
|
.414
|
.369
|
Your most deciding factor(s) when deciding to treat malaria are: perceived cost and time
|
10.60
|
4.400
|
-.317
|
.672
|
For reliability analysis on attitude on prevention, the removal of any item had little to no effect on the CA value, hence all items were retained. In the case of attitude on treatment, the removal of the first three questions as shown in Table 1B, showed a slight adjustment in the CA value, if we further removed the highlighted item (in yellow), the CA improved even better, thus the items were removed, giving a CA value for attitude on treatment of 0.672.
The same analysis was carried out for treatment and prevention practices, to see if we can improve the CA values. Following adjustments, the CA for both was at 0.583 and 0.751 respectively. Item coding was reviewed following the negative CA value due to a negative average covariance among items.
Demographic characteristics of study participants
The study analyzed 350 well-filled participant questionnaires, with the demographic data of respondents shown in Table 2. The demographic data showed a male-to-female ratio of 147:203. Most (42.6%) of the respondents fell into the age bracket of 21-30 years, while 26.3%, 15.71%, and 12% were between ages 31-40 years, 41-50 years, and < 20 years respectively. With regards to educational qualification, 178(50.9%), 128(36.6%), and 33(9.2%) of respondents had up to tertiary, secondary and primary school education respectively, while 8(2.3%) and 3(0.9%) respectively had higher degree certificates or no certificate at all.
Showing on Table 3 shows the frequently used antimalarial medicines by respondents. The result in Table 4 also brought to light a possible poor face-to-face education of the population by health workers in educating the public on the treatment, prevention and control of malaria infection. The majority of respondents (23.9% and 24.3%), got information on malaria infection via television (talk shows and medical adverts) and through friends and neighbours respectively.
Table 2: Demographic analysis of study participants
|
|
MALE (%)
|
FEMALE (%)
|
AGE
|
<20 years
|
8 (5.4)
|
34 (16.7)
|
21-30 years
|
50 (34.0)
|
99 (48.8)
|
31-40 years
|
51 (34.7)
|
41 (20.2)
|
41-50 years
|
31 (21.1)
|
24 (11.8)
|
51-60 years
|
7 (4.8)
|
5 (2.5)
|
ETHNICITY
|
Igbo
|
139 (94.6)
|
182 (89.7)
|
Hausa
|
0 (0)
|
2 (1.0)
|
Yoruba
|
1 (0.7)
|
7 (3.4)
|
Others
|
7 (4.8)
|
12 (5.9)
|
RELIGION
|
Christianity
|
136 (92.5)
|
201 (99.0)
|
Muslim
|
0 (0)
|
1 (0.5)
|
Traditionalist
|
11 (7.5)
|
1 (0.5)
|
MARITAL STATUS
|
Married
|
63 (42.9)
|
75 (36.9)
|
Single
|
80 (54.4)
|
122 (60.1)
|
Divorced
|
4 (2.7)
|
6 (3.0)
|
EDUCATIONAL STATUS
|
Primary
|
22 (15.0)
|
11 (5.4)
|
Secondary
|
58 (39.5)
|
70 (34.5)
|
Tertiary
|
63 (42.9)
|
115 (56.7)
|
Post-graduate
|
2 (1.4)
|
6 (3.0)
|
No formal education
|
2 (1.4)
|
1 (0.5)
|
TOTAL
|
|
147 (42)
|
203 (58)
|
Table 3: Antimalarial used frequently by respondents
|
|
|
Responses
|
Percent of Cases
|
|
|
N
|
Percent
|
Antimalarials used by respondentsa
|
Arthemether/Lumefantrine
|
206
|
27.6%
|
94.9%
|
Artesunate/Amodiaquine
|
115
|
15.4%
|
53.0%
|
Dihydroartemisinin/Piperaquine
|
92
|
12.3%
|
42.4%
|
Sulfadoxine/Pyrimethamine
|
76
|
10.2%
|
35.0%
|
Artesunate
|
88
|
11.8%
|
40.6%
|
Chloroquine/Primaquine
|
117
|
15.7%
|
53.9%
|
Arterolane/Piperaquine
|
25
|
3.4%
|
11.5%
|
Halofantrine
|
27
|
3.6%
|
12.4%
|
Total
|
746
|
100.0%
|
343.8%
|
Table 4: Source of malaria information
|
|
|
Responses
|
Percent of Cases
|
|
|
N
|
Percent
|
Source of information
|
TV as a source of information about malaria
|
217
|
23.9%
|
63.1%
|
Friends/Neighbors as a source of information about malaria
|
221
|
24.3%
|
64.2%
|
Newspaper as a source of information about malaria
|
120
|
13.2%
|
34.9%
|
Hospital as a source of information about malaria
|
171
|
18.8%
|
49.7%
|
Health workers as a source of information about malaria
|
180
|
19.8%
|
52.3%
|
Total
|
909
|
100.0%
|
264.2%
|
Knowledge of participants
We determined the malaria knowledge level of participants by assessing the respondents’ responses using variables bothering on transmission, mortality, breeding sites and symptoms of the disease. The average knowledge of participants was placed at 60.3%. we moved further to check if the knowledge was gender-based but there was no significant difference between the knowledge of men and women on malaria treatment, prevention and control as seen in Table 5. The knowledge of men on malaria treatment, prevention and control stood at 60.3% while that of women stood at 60.2%. This is supported by our T-test which shows a p-value of 0.968.
Table 5: Knowledge of participants based on gender
|
Gender
|
Statistic
|
Std. Error
|
Male
|
Knowledge of Respondents on Malaria
|
Mean
|
60.2969
|
1.24753
|
95% Confidence Interval for Mean
|
Lower Bound
|
57.8313
|
|
Upper Bound
|
62.7624
|
|
5% Trimmed Mean
|
61.1180
|
|
Median
|
63.6364
|
|
Female
|
Knowledge of Respondents on Malaria
|
Mean
|
60.2329
|
.99937
|
95% Confidence Interval for Mean
|
Lower Bound
|
58.2624
|
|
Upper Bound
|
62.2034
|
|
5% Trimmed Mean
|
61.0066
|
|
Median
|
63.6364
|
|
Knowledge of malaria from the age perspective, showed that two age groups, 31-40 years and 51-60 years were lower than those < 20 years. Regression analysis suggests that respondents between 31-40 years were 6.8 times less knowledgeable than respondents aged < 20 years while those aged between 51-60 years were 12.5 times less knowledgeable than those aged < 20 years. Other independent variables such as education had no impact on the knowledge base of respondents.
Attitudes to Treatment, Prevention, and Control
Respondents answered a combination of 8 statements that are related to attitudes toward treatment, prevention, and control of malaria. The larger proportion agreed to sleeping under mosquito nets are the best method of malaria prevention. Using two separate groups of variables that measure for prevention and treatment, we calculated the mean Likert value as shown in Table 6. Likert value of above 3.5, shows that a study population is in agreement, with a Likert value of 3.07 and 3.7 for attitude to prevention and treatment respectively, the study showed that the respondents had a positive attitude towards both treatment and prevention. For attitude on prevention, regression analysis as shown in Table 7, shows that employment status, education of at least tertiary level and religion had the three highest impacts on the attitude towards prevention of malaria. This regression model also accounts for 32.3% (adjusted R2) of the variation in the attitude of respondents towards malaria prevention. Regression for attitude towards treatment showed very similar values.
Table 6: Mean Likert value for attitudes
|
|
|
Statistic
|
Std. Error
|
|
Mean
|
3.9663
|
.03475
|
|
95% Confidence Interval for Mean
|
Lower Bound
|
3.8980
|
|
|
Upper Bound
|
4.0347
|
|
|
5% Trimmed Mean
|
3.9873
|
|
|
Median
|
4.0000
|
|
|
Mean
|
3.7994
|
.03672
|
|
95% Confidence Interval for Mean
|
Lower Bound
|
3.7272
|
|
|
Upper Bound
|
3.8717
|
|
|
5% Trimmed Mean
|
3.8132
|
|
|
Median
|
3.6667
|
|
|
Table 7: Regression analysis for Attitude to prevention
Model
|
Unstandardized Coefficients
|
Standardized Coefficients
|
t
|
Sig.
|
B
|
Std. Error
|
Beta
|
1
|
(Constant)
|
3.337
|
.164
|
|
20.407
|
.000
|
Age=31-40 years
|
-.093
|
.080
|
-.063
|
-1.157
|
.248
|
Age=51-60 years
|
-.047
|
.173
|
-.013
|
-.274
|
.785
|
Age=21-30 years
|
-.046
|
.078
|
-.035
|
-.586
|
.558
|
religion=Christianity
|
.347
|
.160
|
.101
|
2.174
|
.030
|
marital_status=Single
|
.004
|
.080
|
.003
|
.055
|
.956
|
education=Tertiary
|
.248
|
.079
|
.191
|
3.158
|
.002
|
education=Post graduate
|
.533
|
.198
|
.123
|
2.697
|
.007
|
employment=Student
|
.534
|
.088
|
.399
|
6.046
|
.000
|
a. Dependent Variable: attitutude_Prevention
|
|
|
|
|
Practice
A total of 127 respondents (36.3%), frequently use insecticides within or outside their homes as a preventive measure, while 213(60.9%) rarely practice this and only 2.6% had never used an insecticide. Also worrisome is the fact that majority of the respondents, over 40% across the board of the participants do not use insecticide-treated nets, change or repair or treat worn out ITNs. The vast majority of respondents stated that cost (344, %) was the reason for not using or adhering to preventive and treatment guidelines. On the attitude towards the search for medical attention, and treatment-seeking behaviour, 64(18.3%) pay regular visits to a health centre when sick, while 273 (78.0) visit the clinics occasionally, leaving 12 (3.4%) of the 350 respondents that had never visited the clinic for a suspected malaria case, Table 8. The practice of self-medication was on the extreme amongst respondents with over 95% practicing self-medication with suspected cases of malaria infection.
Table 8: Respondents practices when sick
|
|
|
Frequency
|
Percent
|
Valid Percent
|
Cumulative Percent
|
Valid
|
Never
|
12
|
3.4
|
3.4
|
3.4
|
Sometimes
|
273
|
78.0
|
78.2
|
81.7
|
Always
|
64
|
18.3
|
18.3
|
100.0
|
Total
|
349
|
99.7
|
100.0
|
|
Missing
|
System
|
1
|
.3
|
|
|
Total
|
350
|
100.0
|
|
|