| Literature DB >> 35721773 |
Prisca Olabisi Adejumo1, Faith Nawagi2, Ifeoluwapo Oluwafunke Kolawole3, Mamudo Rafik Ismail4, Abdon W Mukalay5, Rose C Nabirye6, Abigail Kazembe7, Iyanuoluwa Oreofe Ojo1, Adebayo Adejumo8, Jean B Nachenga9, Fatima Suleman10, Nelson K Sewankambo11, Funmilayo A Okanlawon1, Emilia Virginia Noormahomed12,13,14.
Abstract
Objective: We assessed the knowledge, preparedness, and attitude of health profession students towards COVID-19 outbreak in Sub-Saharan Africa.Entities:
Year: 2021 PMID: 35721773 PMCID: PMC8894130 DOI: 10.1016/j.ijregi.2021.10.010
Source DB: PubMed Journal: IJID Reg ISSN: 2772-7076
Socio-demographic characteristics of participants.
| Characteristics | Frequency (N) | Percentage (%) |
|---|---|---|
| Gender | ||
| Male | 169 | 50.3 |
| Female | 167 | 49.7 |
| Medicine | 112 | 33.3 |
| Physiotherapy | 109 | 32.4 |
| Pharmacy | 10 | 3.0 |
| Nursing | 43 | 12.8 |
| Medical laboratory technology | 13 | 3.9 |
| Dentistry | 2 | 0.6 |
| Others | 47 | 14.0 |
| Benin | 1 | 0.3 |
| Botswana | 4 | 1.2 |
| Central African Republic | 1 | 0.3 |
| DR Congo | 49 | 14.6 |
| Ghana | 25 | 7.4 |
| Lesotho | 6 | 1.8 |
| Liberia | 2 | 0.6 |
| Malawi | 8 | 2.4 |
| Mozambique | 72 | 21.4 |
| Nigeria | 129 | 38.4 |
| Rwanda | 2 | 0.6 |
| South Africa | 2 | 0.6 |
| Tanzania | 4 | 1.2 |
| Uganda | 27 | 8.0 |
| Zambia | 2 | 0.6 |
| Zimbabwe | 2 | 0.6 |
| Mean | 25.75± 7.88 | |
| Median (IQR) | 23 (21-28) | |
| English | 214 | 63.7 |
| French | 51 | 15.2 |
| Portuguese | 71 | 21.1 |
| Undergraduate | 298 | 88.7 |
| Postgraduate | 38 | 11.3 |
Knowledge level of COVID-19 among health professions students.
| N=336 | ||
|---|---|---|
| Characteristics | Fr (N) | (%) |
| The cause of coronavirus is | ||
| Parasite | 1 | 0.3 |
| Patients with coronavirus present with severe acute respiratory illness Yes | ||
| No | 8 | 2.4 |
| The disease is transmitted through Droplets after sneezing No | ||
| Yes | 327 | 97.3 |
| Touching and shaking hands with an infected person No | ||
| Yes | 286 | 85.1 |
| The use of objects used by an infected person No | ||
| Yes | 250 | 74.4 |
| Sexual route No | ||
| Yes | 66 | 19.6 |
| There is a COVID-19 vaccine available in the market now No | ||
| Yes | 85 | 25.3 |
| People with coronavirus may be most contagious at what point? 1-2 days | ||
| First 7 days of illness | 146 | 43.4 |
| 14-21 days | 136 | 40.5 |
| Tracking down contacts of people with COVID -19 should include | ||
| Only the people encountered soon after symptoms | 100 | 29.8 |
| People encountered several days before the symptoms | 214 | 63,7 |
| Only the people in the office and homes of the infected | 22 | 6.5 |
| After how many days can an infected person who is cured of COVID-19 communicate with the general population Immediately | ||
| 2-5 days | 16 | 4.8 |
| After 14 days | 41 | 12.2 |
| After 14 days following a negative test result | 236 | 70.2 |
| People with comorbidity (Diabetes, cancer, and other chronic illnesses.) are more likely to be severely infected | ||
| No | 20 | 5.9 |
| Yes | 316 | 94,1 |
| The incubation period for COVID -19 virus is 14-28 days | ||
| No | 95 | 28,3 |
| Yes | 241 | 71.7 |
| Fever, cough, and difficulty in breathing are hallmark symptoms of COVID -19 | ||
| No | 6 | 98.2 |
| Yes | 330 | 1.8 |
| COVID -19 can spread through close contact with infected persons | ||
| No | 10 | 3.0 |
| Yes | 326 | 97.0 |
| Washing hands with soap and water for at least 20 seconds can help in the prevention of transmission of COVID-19 disease | ||
| No | 3 | 0.9 |
| Yes | 333 | 99.1 |
| Polymerase chain reaction (PCR) can be used to diagnose COVID -19 | ||
| No | 38 | 11.3 |
| Yes | 298 | 88.7 |
| Special caution must be taken by a person with symptoms of COVID -19 in your region | ||
| No | 2 | 99.4 |
| Yes | 334 | 0.6 |
| COVID-19 can be fatal | ||
| No | 5 | 1.5 |
| Yes | 331 | 98.5 |
| Which of the following is the drug of choice in COVID-19 treatment | ||
| Hydroxychloroquine or chloroquine | 61 | 18.1 |
| Azithromycin and Favipiravir | 13 | 3.9 |
| Remdesivir and interferon | 11 | 3.3 |
| No definitive approved treatment | 251 | 74.7 |
Participants' attitude towards COVID-19.
| n=336 | ||
|---|---|---|
| Statements | Agree | Disagree |
| n (%) | n (%) | |
| The long isolation period and social distancing associated with COVID-19 displease me | 159 (47.3) | 177 (52.7) |
| I feel I can contract COVID-19 if I care for patients who have COVID-19 disease. | 217 (64.6) | 119 (35.4) |
| I feel like changing my profession because of the experiences I had witnessed during the COVID-19 pandemic | 28 (8.3) | 308 (91.7) |
| Attending to COVID-19 patients at isolation centers could be stressful with the reports received so far | 246 (73.2) | 90 (26.8) |
| The fear of death constrains me to avoid contracting COVID-19 | 204 (60.7) | 132 (39.3) |
| My loved ones will panic if I decide to participate in the care of people infected with COVID-19 | 230 (68.5) | 106 (31.5) |
| Watching people dying of COVID-19 could be scary | 281 (83.6) | 55 (16.4) |
| I am sufficiently psychologically competent to volunteer as a caregiver at COVID-19 isolation centers | 239 (71.1) | 96 (28.9) |
| Lessons from the COVID-19 pandemic compel me to be more cautious in attending to patients that tested positive for coronaviruses | 310 (92.3) | 26 (7.7) |
| Repetitive hand-washing, wearing of face masks, and use of personal protective equipment in caring for COVID-19 patients is not convenient. | 118 (35.1) | 218 (64.9) |
| There is no big deal with COVID-19, people should not feel threatened by it. | 65 (19.3) | 271 (80.7) |
| Although there is no known treatment for COVID-19 yet, I am confident that current management techniques are enough to curtail the virus. | 208 (61.9) | 128 (38.1) |
| Disruption of social life and economic stagnation characterize the COVID-19 pandemic, hence are potentially mentally stressful | 293 (87.2) | 43 (12.8) |
| I do not feel compelled to adhere strictly to precautions related to COVID-19 infection because others in my community may not be compliant also. | 72 (21.4) | 264 (78.6) |
| Unlike other conditions such as mental illness, COVID-19 does not have any associated stigma. | 83 (24.7) | 253 (75.3) |
| I will self-isolate if I perceive that I have possible COVID-19 symptoms | 312 (92.9) | 24 (7.1) |
| I consider most COVID-19 campaigns as mere myths | 46 (13.7) | 290 (86.3) |
| Authorities (and others) should communicate the risks surrounding COVID-19 to the public as faithfully as possible | 311 (92.6) | 25 (7.4) |
| I will prefer to manage any of my family members who are infected at home to avoid stigmatization and unnecessary panic | 131 (39.0) | 205 (61.0) |
Participants' training institutional preparedness during the COVID-19 outbreak
| n= 336 | ||
|---|---|---|
| Statements | Yes, n, % | No, n, % |
| My school curriculum covers almost all I need to know about infectious diseases and their prevention | 213 (63.6) | 122 (36.4) |
| Infection prevention related courses are taught as a general course in my institution | 229(68.4) | 106 (31.6) |
| The curriculum we use in my institution only exposes us to specific infection prevention and control based in my discipline | 213(63.6) | 122 (36.4) |
| The extent of the curriculum content covered could translate to my competence in the use of personal protective equipment | 270 (80.6) | 65 (19.4) |
| I do not support our being sent home from school during the COVID-19 pandemic, | 130 (38.8) | 205 (61.2) |
| With the closure of schools, I feel students should be retained to learn from the clinical experiences on how COVID-19 is being managed, | 257 (76.7) | 78 (23.3) |
| The closure of my school is a barrier to students’ preparedness for COVID- 19 | 185 (55.2) | 150 (44.8) |
| I have been able to assume virtual classes during this lockdown | 188 (56.1) | 147 (43.9) |
| My clinical exposures have prepared me to build competence in the management of pandemic conditions like COVID-19 | 209 (62.4) | 126 (37.6) |
COVID-19 preparedness of the government
| n=336 | ||
|---|---|---|
| Yes (%) | No (%) | |
| Government trained health professionals on COVID-19 during the outbreak, | 308 (91.9) | 27 (8.1) |
| Placement of soap and water in public places | 324(96.7) | 11 (3.3) |
| Provision of appropriate facemasks | 291(86.9) | 44 (13.1) |
| Health promotional campaign on prevention of coronavirus, | 324 (96.7) | 11(3.3) |
| Provision of hand sanitizers | 289 (86.3) | 46 (13.7) |
| Avoidance of large social gatherings, | 324 (96.7) | 11(3.3) |
| Disallowing citizens from going to the grocery store/market or | 158 (47.2) | 177(52.8) |
| pharmacy, | ||
| Disallowing citizens from going out to bars/pubs/drinking joints, | 300 (89.5) | 35(10.5) |
| Disallowing citizens from going to restaurants or eating joints, | 254 (75.8) | 81 (24.8) |
| Disallowing citizens from attending social/religious gatherings (large | 254 (75.8) | 81 (24.2) |
| and small), | ||
| Avoidance of opening the mail or delivered goods, | 128 (38.2) | 207 (61.8) |
| Disallowing citizens from any non-essential travel, | 313 (93.4) | 22(6.6) |
| Avoidance of play dates (letting children play with other children) | 265 (79.1) | 70 (20.9) |
| Avoidance of using public transportation | 193 (57.6) | 142(42.4) |
| Exercising outside alone or with people, you live with only | 262 (78.2) | 73 (21.8) |
| Staying/working at home rather than going to work or school | 307 (91.6) | 28(8.4) |
| Self-quarantining if you are returning from an international/ local trip | 307 (91.6) | 28 (8.4) |
| Self-quarantining if you have or believe you have the virus | 306 (91.3) | 29 (8.7) |
| People engage in panic buying as a natural response of risk-averse | 243 (72.5) | 92 (27.5) |
| individuals to a threat of future unavailability or lack of access (e.g. due | ||
| to isolation) in my country, | ||
| It is believed that specific social groups (e.g. politicians, public figures, | 180 (53.7) | 155 (46.3) |
| the rich, celebrities, etc.) advocating for COVID-19 control might face | ||
| discrimination |
Bivariate analysis for socio-demographic characteristics of respondents and knowledge on COVID-19
| n=336 | |||||
|---|---|---|---|---|---|
| People withpoint | coronavirus infections | may be most | contagious at | which | |
| 1-2 days | First 7 days | 14-21 days | P value | ||
| Southern Africa | 21 (38.9) | 46 (31.5) | 29 (21.3) | 0.117* | |
| West Africa | 20 (37.0) | 66 (45.2) | 72 (53.0) | ||
| female | 26 (48.2) | 78 (53.4) | 63 (46.3) | ||
| Physiotherapy | 11 (20.4) | 44 (30.1) | 54 (39.7) | ||
| Pharmacy | 1 (1.9) | 4 (2.7) | 5 (3.7) | ||
| Nursing | 10 (18.5) | 14 (9.6) | 19 (14.0) | 0.007* | |
| Medical | 6 (11.1) | 1 (0.7) | 6 (4.4) | ||
| laboratory | |||||
| Science | |||||
| Dentistry | 1 (1.8) | 1 (0.7) | 0 (0.0) | ||
| Others | 6 (11.1) | 23 (15.8) | 18 (13.2) | ||
| >23 | 25 (46.3) | 72 (49.3) | 58 (42.7) | 0.532* | |
| Postgraduate | 4 (7.4) | 16 (11.0) | 18 (13.2) | 0.558** |
*chi-square test **Fisher's exact test p-value p-value <0.05 for statistical significance.
Bivariate analysis for socio-demographic characteristics of the respondents and curriculum content on COVID-19
| (n=336) | |||
|---|---|---|---|
| Region | My curriculum | My curriculum | P-value |
| prepares me, yes | prepares me, no | ||
| East Africa | 57 (26.8) | 25 (20.5) | |
| Southern Africa | 72 (33.8) | 23 (18.8) | |
| West Africa | 84 (39.4) | 74 (60.7) | 0.001* |
| female | 100 (46.9) | 66 (54.1) | 0.208 |
| Physiotherapy | 52 (24.4) | 57 (46.7) | |
| Pharmacy | 4 (1.9) | 5 (4.1) | |
| Nursing | 30 (14.1) | 13 (10.7) | 0.001* |
| Medical laboratory | 12 (5.6) | 1 (0.8) | |
| Science | |||
| Dentistry | 2 (0.9) | 0 (0.0) | |
| Others | 39 (18.3) | 8 (6.6) | |
| >23 | 101 (47.4) | 53 (43.4) | 0.482 |
| Postgraduate | 26(12.2) | 11(9.0) | 0.370 |
*based on the chi-square test. <0.05 for statistical significance
**Based on Fisher's exact test <0.05 for statistical significance.
Bivariate analysis for socio-demographic characteristics of respondents and attitude on COVID-19
| I feel I can contract COVID if I Care for patients, yes | I feel I can contract COVID if I Care for patients, no | P-value | |
|---|---|---|---|
| East Africa | 58 (26.7) | 24 (20.3) | |
| Southern Africa | 44 /920.3) | 51(43.2) | |
| West Africa | 115 (53.0) | 43 (36.4) | 0.001 |
| Female | 110 (50.7) | 56 (47.5) | 0.572 |
| Physiotherapy | 82 (37.8) | 27 (22.9) | |
| Pharmacy | 6(2.8) | 3 (2.5) | |
| Nursing | 27 (12.4) | 16 (13.6) | 0.126 |
| Medical laboratory Science | 8 (3.7) | 5 (4.2) | |
| Dentistry | 2(0.9) | 0 (0.0) | |
| Others | 26 (12.0) | 21(17.8) | |
| >23 | 92 (42.4) | 62(52.5) | 0.075 |
based on chi-square test p <0.05 for statistical significance.
Bivariate analysis for socio-demographic characteristics of the respondents and government preparedness on COVID-19
| Region | Health promotion campaign on prevention of coronavirus, yes | Health promotion campaign on prevention of coronavirus, no | |
|---|---|---|---|
| East Africa | 79 (24.4) | 3 (27.7) | |
| Southern Africa | 91 (28.1) | 4 (36.6) | |
| West Africa | 154 (47.5) | 4 (36.6) | 0.729 |
| Male | 165 (50.9) | 4 (36.4) | |
| Female | 159 (49.1) | 7 (63.6) | 0.342 |
| Physiotherapy | 107 (33.0) | 2 (18.2) | |
| Pharmacy | 9 (2.8) | 0(0.0) | |
| Nursing | 42 (13.0) | 1 (9.1) | 0.749 |
| Medical laboratory | 12 (3.7) | 1(9.1) | |
| Science | |||
| Dentistry | 2 (0.6) | 0 (0.0) | |
| Others | 44 (13.6) | 3 (27.3) | |
| >23 | 150 (46.3) | 4 (36.4) | 0.557 |
based on Fisher's each test <0,05 statistically significant.