Socio-demographic characterstics of the respodents
A total sample of 247 JUMC visitors were approached. The respondents’ mean age was (30.5 ±10.2) years. More than 3/4th, 189 were male. 52 (21.1%) of visitors neither able to read nor write. Higher proportions of respondents were married (62.3%), Muslims (59.9%), and farmers (31.2%) (Table 1 presented the details of socio-demographic charactertsics).
Table 1: Socio-demographic characteristics of JUMC visitor respondents, Jimma, March 2020 (n=247)
Variable
|
Frequency (n)
|
%
|
Age (years)
|
|
|
≤19
|
22
|
8.5
|
20-29
|
110
|
44.5
|
30-39
|
65
|
26.3
|
40-49
|
36
|
14.6
|
50-59
|
10
|
4.0
|
≥60
|
4
|
1.6
|
Mean (±St.D) of age (in year)
|
30.5(mean)
|
(±10.2)St.D
|
Sex
|
|
|
Male
|
189
|
76.5
|
Female
|
58
|
23.5
|
Educational status
|
|
|
Cannot read and write
|
52
|
21.1
|
Read and write
|
20
|
8.1
|
Primary (1-8 grade)
|
52
|
21.1
|
Secondary (9-12 grade)
|
62
|
25.1
|
College and above
|
61
|
24.7
|
Marital status
|
|
|
Single
|
91
|
36.8
|
Married
|
154
|
62.3
|
Divorced
|
1
|
0.4
|
Widowed
|
1
|
0.4
|
Occupational status
|
|
|
Farmer
|
77
|
31.2
|
Student
|
75
|
30.4
|
Currently unemployed
|
38
|
15.4
|
Government employed
|
34
|
13.8
|
Private business/employed
|
23
|
9.3
|
Religion
|
|
|
Muslim
|
148
|
59.9
|
Orthodox
|
56
|
22.7
|
Protestant
|
39
|
15.8
|
Others*
|
4
|
1.6
|
Monthly Income (ETB)
|
|
|
≤499
|
122
|
49.4
|
500-2000
|
62
|
25.5
|
≥2001
|
63
|
25.1
|
Median ( mean)
|
500 (1,723.2)
|
|
*others=Wakefata, Jehovah witness, ETB= Ethiopian Birr, JUMC=Jimma Medical Center
Knowledge and perception about COVID-19 among hospital visitors
Analysis of quartiles of knowledge about COVID-19 revealed that >50% of JUMC visitors correctly responded to 10 of 14 knowledge items. The knowledge components were presented as follows (Table 2 presents details):
Symptoms: 205 (83.0%) of the visitors knew the main clinical symptoms of COVID-19 as fever, fatigue, dry cough and myalgia. In fact, < 2/5th (37.7%) of the respondents mentioned other symptoms such as stuffy nose, runny nose, and sneezing that distinguish COVID-19 from common cold/flu.
Risk factors and prognosis: One hundred seventy-nine (72.5%) of the visitors knew that elderly people who have chronic illnesses and obesity are at higher risk of developing a severe form of COVID-19. Almost the same proportion knew that COVID-19 had no effective cure yet early seeking of treatment increases the chance of recovery.
Mode of transmission: High proportion (95.1%) of the visitors knew that the COVID-19 virus spreads via respiratory droplets of infected people. However, 77 (31.2%) of the respondents reported that asymptomatic transmission is possible
Prevention Practices: Properly washing hands with soap and water (95.5%), not touching eye-nose-mouth with unwashed hands (92.7%) and avoiding crowded places (90.3%) were commonly known methods of preventing COVID-19 transmssion. However, 15 (6.1%) mentioned that it is necessary for children and young adults to take measures to prevent the infection by the COVID-19 virus.
Table 2: Knowledge about COVID-19 among JUMC visitors, Jimma, Ethiopia, March 2020 (N=247)
Variable (n=247)
|
Frequency (%)
|
|
Correct
|
Incorrect
|
Knowledge of symptoms
|
|
|
The main clinical symptoms of COVID-19 are fever, fatigue, dry cough, and myalgia (n=247)
|
205 (83.0)
|
42 (17.0)
|
Unlike the common cold, stuffy nose, runny nose, and sneezing are less common in persons infected with the COVID-19 virus (n=247)
|
93 (37.7)
|
154 (62.3)
|
Knowledge of high risk and prognosis
|
|
|
Not all persons with COVID-2019 will develop severe cases. Only those who are elderly, have chronic illnesses & are obese are more likely to be severe cases (n=247)
|
179 (72.5)
|
68 (27.5)
|
There currently is no effective cure for COVID-2019, but early symptomatic and supportive treatment can help most patients recover from the infection (n=247)
|
178 (72.1)
|
69 (27.9)
|
Knowledge about Mode of transmissions and infectiousness
|
|
|
The COVID-19 virus spreads via respiratory droplets of infected individuals (n=247)
|
235 (95.1)
|
12 (4.9)
|
Eating or contacting wild animals would result in the infection by the COVID-19 virus (n=247)
|
119 (48.2)
|
128 (51.8)
|
Persons with COVID-19 cannot infect the virus to others when a fever is not present (n=247) *
|
77 (31.2)
|
170 (68.8)
|
Knowledge about ways of prevention
|
|
|
Proper washing hand with soap and water is one method of preventing COVID-19 (n=247)
|
236 (95.5)
|
11 (4.5)
|
One way of prevention of COVID 19 is not touching the eye, nose by unwashed hands (n=247)
|
229 (92.7)
|
18 (7.3)
|
To prevent the infection by COVID-19, individuals should avoid going to crowded places such as train stations and avoid taking public transportations (n=247)
|
223 (90.3)
|
24 (9.7)
|
Ordinary residents can wear general medical masks to prevent the infection by the COVID-19 virus (n=247)
|
216 (87.4)
|
31 (12.6)
|
People who have contact with someone infected with the COVID-19 virus should be immediately isolated in a proper place (n=247)
|
216 (87.4)
|
31 (12.6)
|
Isolation and treatment of people who are infected with the COVID-19 virus are effective ways to reduce the spread of the virus (n=247)
|
212 (85.8)
|
35 (14.2)
|
It is not necessary for children and young adults to take measures to prevent the infection by the COVID-19 virus (n=247)*
|
15 (6.1)
|
232 (93.9)
|
Quartiles of correctly answered knowledge (of 14 items)
|
|
|
Quartile 1 (0-25%)
|
1-8 of 14
|
-
|
Quartile 2 [25-50%)
|
9 of 14
|
-
|
Quartile 3 [50-75%)
|
10 of 14
|
-
|
Quartile 4 [75-100%)
|
11-14 of 14
|
-
|
* Correction rate calculated from ‘no’ response for false statements, ** MDKS constructed from 14 correct items JUMC=Jimma Medical Center
Multi-dimensional knowledge status about COVID-19 among hospital visitors
Multidimensional (symptoms, risk factors & prognosis, transmission modes, and preventive methods) analysis of knowledge of COVID-19 indicated that 41.7% and 41.3% of JUMC visitors were moderately and highly knowledgeable respectively (Figure 2). The line graph showed counts of correctly answered knowledge items(score >=11) referred to highly knowledgeable class (figure 1).
Exposure to training and perception to combat the spread of COVID-19 among JUMC visitors
Only 8(3.2%) visitors reported exposure to organized educational sessions about COVID-19. Two hundred seven, 83.8% of the visitors felt that COVID-19 is a stigmatized disease and 68.8% of the visitors perceived self-efficicous to control it.
Differences in knowledge and perceptions by socio-demographic variables
Analysis of variance (ANOVA) indicated that multidimensional knowledge (MDK) score on COVID-19 was significantly different by some socio-demographic variables (educational status, age groups, and occupation) For example, post-hoc tests using Bonferroni (equal variance assumed) and Tamhane (unequal variance assumed) methods showed that visitors whose educational status was secondary school and above had higher meanof MDK score (F=5.38, Pv <0.005) compared to lower graders and non-attendants of formal education. Additionally, visitors whose ages ranged between 30-49 years had lower means of MDK score compared to younger ages (F=2.29, pv <0.05). Farmer visitors had lower means of MDK score compared to employment in private/government businesses and students. And, unemployed ones had lower means compared to farmers (F=5.51, Pv <0.05). Moreover, independent sample t-test showed that visitors who were single had higher mean of MDK score (t=2.64, Pv <0.05) compared to married ones. Respondents’ religious affiliations, sex and perceived self-efficacy showed no significant differences in means of MDK score, (F=1.25, Pv=0.294), (t=1.74, Pv=1.17) and (t=1.92, pv=0.056) respectively. Perception of self-efficacy to combat COVID-19 had shown no significant difference by socio-demographic variables.
COVID-19 preventive practices among JUMC visitors
Over the last few days, JUMC visitors were predominantly engaged on frequent hand washing with water & soap (77.3%), stopped shaking hands while giving greeting (53.8%), avoided physical proximity (33.6%) and going to crowed places (33.2%) in order to protect themselves from COVID-19 (Table 3 presents details).
Table 3: JUMC visitors COVID-19 preventive practices, Jimma, Ethiopia, March 2020 (n=247)
Practice variables
|
Frequency (%)
|
Over the last few days following the report of COVID-19 in Ethiopia, I…
|
Yes (%)
|
No (%)
|
am frequently washing hands with water and soap
|
191 (77.3)
|
56 (22.7)
|
stopped shaking hands while giving greeting
|
133 (53.8)
|
114 (46.2)
|
avoided close proximity including while greeting (within 1 meter)
|
83 (33.6)
|
164 (66.4)
|
have not been going to crowed place
|
82 (33.2)
|
165 (66.8)
|
wore mask when leaving home
|
35 (14.2)
|
212 (85.8)
|
avoid touching eye, nose, mouth before washing hands
|
28 (11.3)
|
219 (88.7)
|
wore mask/used cover /elbow for coughing/sneezing
|
28 (11.3)
|
219 (88.7)
|
others (alcohol-rubbing, no contact with surfaces)
|
14 (5.7)
|
233 (94.3)
|
Have started to stay home
|
4 (1.6)
|
243 (98.4)
|
Predictors of engagement on COVID-19 major preventive actions
Socio-demographic characteristics, knowledge and self-efficacy were important factors that predicted adaption of measures that protect from COVID-19. Table 4 provides the details.
Predictors of frequent hand washing practice
JUMC visitors who were at 40-49 years old and unemployed were averagely 91% and 72% less frequently washed their hands over the last few days compared to their counterparts in youngest age-groups & farming occupation, respectively. Visitors who belong to the highest knowledge class were averagely 3.48 times washers compared to those with low knowledge. In fact, majority of specific knowledge and perceived efficacy items had crude and positive effect on the practice of washing hands. Overall, the above predictors explained 38.7% of the variance of frequent hand washing practice.
Predictors of avoidance of hand shaking practice
JUMC visitors who were employed at private business and government offices were averagely 5.7% and 2.68 times more likely to avoid the practices of shaking hands for greeting over the last few days compared to those whose occupation was farming, respectively. With regard to specific knowledge predictors; respondents who perceived animal contacts spreads COVID-19 and wearing masks prevents the infection by COVID-19 were 2.73 and 2.88 times more likely careful to avoid shaking hands. Visitors who belong to the highest knowledge class were averagely 2.45 times avoiders of shaking hands compared to those with low knowledge. Visitors who felt self-efficacious to successfully control COVID-19 were 3.89 times more likely to engage on avoidance of shaking hands compared to those with low-efficacy. In fact, the crudes odds ratio showed that many of knowledge items and socio-demographic variables (being females, higher educational levels) have positively influenced the avoidance of shaking hands. Overall, the above predictors explained 32.9% of the variance of frequent hand washing practice.
Table 4: Predictors of COVID-19 preventive measures, JUMC visitors, Jimma, March 2020 (n=247)
Factor variables
|
Frequent hand washing with soap & water
|
Stopped shaking hands
|
Socio-demographic
|
COR (95% CI)
|
AOR
|
COR
|
AOR
|
Age groups
|
|
|
|
|
<=19
|
1
|
1
|
1
|
1
|
20-29
|
1.00 (0.26,3.80)
|
0.78(0.14,4.25)
|
2.34(0.92,5.94)
|
1.54(0.45,5.22)
|
30-39
|
2.24(0.60,8.54)
|
0.29(0.04,2.21)
|
1.58(0.60,4.22)
|
1.16(0.25,5.29)
|
40-49
|
0.16(0.04,0.63) *
|
0.09(0.01,0.74) *
|
1.03(0.35,3.03)
|
1.90(0.30,12.32)
|
>=50
|
1.73(0.30,10.10)
|
0.42(0.04,4.38)
|
1.44(0.38,5.57)
|
1.61(0.75,3.44)
|
Sex
|
|
|
|
|
Male
|
1
|
1
|
1
|
1
|
Female
|
1.02(0.50,2.01)
|
0.76(0.27,2.12)
|
1.88(1.02,3.47) *
|
1.61(0.75,3.44)
|
Educational status
|
|
|
|
|
Neither read nor write
|
0.26(0.10,0.67) *
|
0.28(0.04,1.76)
|
0.26(0.12,0.57) *
|
0.64 (0.16,2.55)
|
Read and write
|
0.35(0.11,1.18)
|
0.33(0.04,2.66)
|
0.91(0.31,2.62)
|
2.55(0.50,13.10)
|
Primary school
|
0.45(0.17,1.20)
|
0.34(0.07,1.60)
|
0.42(0.20,0.90) *
|
0.79(0.25,2.49)
|
Secondary school
|
0.79(0.29,2.15)
|
0.35(0.09,1.50)
|
0.72(0.35,1.51)
|
0.81(0.30,2.19)
|
College and above
|
1
|
1
|
1
|
1
|
Religious affiliation
|
|
|
|
|
Muslim
|
1
|
1
|
1
|
1
|
Orthodox
|
1.59(0.73,3.46)
|
0.70(0.26,1.95)
|
1.77(0.95,3.31)
|
1.03(0.47,2.23)
|
Protestant
|
1.34(0.57,3.16)
|
1.12(0.32,4.00)
|
2.29(1.10,4.80) *
|
2.02(0.78,5.20)
|
Marital status
|
|
|
|
|
Single
|
1
|
1
|
1
|
1
|
Married
|
029(0.14,0.61) *
|
0.44(0.13,1.45)
|
0.66(0.39,1.11)
|
0.70(0.28.1.75)
|
Occupation
|
|
|
|
|
Farmer
|
1
|
1
|
1
|
1
|
Student
|
3.12(1.33,7.31) *
|
0.30(0.05,1.75)
|
1.89(0.99,3.60)
|
1.15(0.34,3.89)
|
Unemployed
|
0.73(0.32,1.66)
|
0.28(0.08,0.97)*
|
1.34(0.61,2.92)
|
1.60(0.57,4.46)
|
Private employed
|
2.02(0.62,6.61)
|
1.08(0.18,6.34)
|
4.20(1.49,11.85) *
|
5.70(1.42,22.70)*
|
Gov’t employed
|
1.99(0.73,5.45)
|
0.34(0.05,2.25)
|
4.12(1.70,10.01) *
|
2.68(1.01,7.12) *
|
Knowledge (yes)
|
|
|
|
|
Knew main clin.symptom
|
3.75(1.86,7.59) *
|
3.30(1.03,19.54) *
|
2.77(1.38,5.57) *
|
1.62(0.5, 4.99)
|
Differentiated COVID-19 from symptoms of flu
|
2.38(1.20,4.72) *
|
1.64(0.58,4.59)
|
2.17(1.28,3.70) *
|
1.29(0.51,3.24)
|
Knew high risk group
|
2.04(1.10,3.83) *
|
1.10(0.38,3.18)
|
1.72(0.98,3.01)
|
0.75(0.2, 2.03)
|
Early supportive treatments increase recovery
|
2.70(1.44,5.04) *
|
1.23(0.45,3.41)
|
2.50(1.41,4.42) *
|
1.75(0.66,4.66)
|
COVID-19 spreads via respiratory droplets
|
3.70(1.14,11.97) *
|
1.72(0.30,9.92)
|
2.43(0.71,8.31)
|
1.59(0.28,9.05)
|
Eating or contact with animals spreads COVID-19
|
1.93(1.10,3.54) *
|
1.11(0.44,2.79)
|
1.94(1.17,3.22) *
|
2.73(1.27,5.88) *
|
Proper hand washing prevents COVID-19
|
4.46(1.31,15.23) *
|
2.05(0.30,13.97)
|
3.27(0.85,12.63)
|
1.49(0.19,11.94)
|
Wearing mask prevent infection by COVID-19
|
1.76(0.78,4.00)
|
0.96(0.30,3.21)
|
3.30(1.45,7.49) *
|
2.88(1.04,8.00) *
|
Avoiding crowed place prevents COVID-19
|
4.95(2.10,11.80) *
|
3.80(1.08,13.34) *
|
1.7(0.73,4.04)
|
1.07(0.28,4.11)
|
Isolation of infected people prevents COVID-19
|
2.70(1.27,5.75) *
|
1.52(0.47,4.96)
|
0.98(0.48,2.00)
|
0.64(0.20,2.01)
|
Immediate contact isolation prevents COVID-19
|
4.00(1.83,8.75) *
|
3.89(1.24,12.17) *
|
1.28(0.60,2.73)
|
1.03(0.34,3.12)
|
MDK status
|
|
|
|
|
Less
|
1
|
1
|
1
|
1
|
Moderate
|
2.01(0.94.4.31)
|
1.98(0.82,4.82)
|
2.12(1.00,4.48) *
|
1.86(0.82,4.25)
|
High
|
4.66(2.00,10.87) *
|
3.48(1.34,9.09) *
|
3.67(1.72,7.84) *
|
2.45(1.06,5.65) *
|
Attitude & efficacy (yes)
|
|
|
|
|
Self-efficacy to control COVID-19
|
3.54(1.90,6.57) *
|
1.58(0.45,5.61)
|
2.83(1.62,4.94) *
|
3.89(1.44,10.50) *
|
Collective efficacy to control COVID-19
|
2.85(1.55,5.26) *
|
2.99(0.83,10.72)
|
1.75(1.03,2.98) *
|
0.78(0.30,2.05)
|
R-square (R2) =38.7% and 32.9% for hand washing and not-shaking hands, *significant at p<0.05, COR: Crude Odds Ratio, AOR: Adjusted Odds Ratio